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Marcel Ackermann
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Marcel Ackermann
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Sydney, Australia
Chang Xu
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Lima, Peru
Javier Antonio
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Dhaka, Bangladesh
Nurul Akter Towhid
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Lagos, Nigeria
Data Nigeria
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Doha, Qatar
Hazrat Ali
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Vienna, Austria
Liad Magen
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Lily Xu
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Murat Karademir
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Accra, Ghana
Richard Nii Lante Lawson
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Nan Lu
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Cairo, Alex, Egypt
Marc Banoub
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Lagos, Nigeria
'Kayode Akanni
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Cambridge, UK
Eva Pelster
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Munich, Germany
Eva Pelster
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Huntsville, AL
J. Langley
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Mumbai, India
Sukanya Mandal
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Shruti Karulkar
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Stu Wilson
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Stu Wilson
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Stu Wilson
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Paul Edache
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Paul Edache
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Chenchen (Chain) Zhang
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Rolla, MO
Ardhendu Tripathy
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Olivia Muza
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Olivia Muza
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Olivia Muza
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Copenhagen, Denmark
Søren Hauberg
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Hsuan-Tien Lin
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Olayinka Oluwafemi
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London, UK
Eloise Gleek
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Algiers, Algeria
Nazim Bendib
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Strasbourg, France
Robert Maria
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Timisoara, Romania
Robert Maria
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Cambridge, UK
Vincent Dutordoir
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Nantes, France
F Sanson
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Montreal, Canada
Mah Parsa
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Toronto, Canada
Mah Parsa
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Paul Beaumont
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Lisbon, Portugal
Inês Pedro
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Elnaz Babayeva
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Heiner Kremer
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Nurul Akter Towhid
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Hazrat Ali
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Luís Espírito Santo
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Freiburg, Germany
David Hübner
Spotlight
Image Generation using Continuous Filter Atoms
Ze Wang · Seunghyun Hwang · Zichen Miao · Qiang Qiu
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Reinforcement Learning in Newcomblike Environments
James Bell · Linda Linsefors · Caspar Oesterheld · Joar Skalse
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Precise characterization of the prior predictive distribution of deep ReLU networks
Lorenzo Noci · Gregor Bachmann · Kevin Roth · Sebastian Nowozin · Thomas Hofmann
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Reward is enough for convex MDPs
Tom Zahavy · Brendan O'Donoghue · Guillaume Desjardins · Satinder Singh
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On the Convergence and Sample Efficiency of Variance-Reduced Policy Gradient Method
Junyu Zhang · Chengzhuo Ni · zheng Yu · Csaba Szepesvari · Mengdi Wang
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Fair Exploration via Axiomatic Bargaining
Jackie Baek · Vivek Farias
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Provably Faster Algorithms for Bilevel Optimization
Junjie Yang · Kaiyi Ji · Yingbin Liang
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ASSANet: An Anisotropic Separable Set Abstraction for Efficient Point Cloud Representation Learning
Guocheng Qian · Hasan Hammoud · Guohao Li · Ali Thabet · Bernard Ghanem
Spotlight
Removing Inter-Experimental Variability from Functional Data in Systems Neuroscience
Dominic Gonschorek · Larissa Höfling · Klaudia P. Szatko · Katrin Franke · Timm Schubert · Benjamin Dunn · Philipp Berens · David Klindt · Thomas Euler
Spotlight
Uniform Concentration Bounds toward a Unified Framework for Robust Clustering
Debolina Paul · Saptarshi Chakraborty · Swagatam Das · Jason Xu
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Beyond Value-Function Gaps: Improved Instance-Dependent Regret Bounds for Episodic Reinforcement Learning
Christoph Dann · Teodor Vanislavov Marinov · Mehryar Mohri · Julian Zimmert
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Deep learning is adaptive to intrinsic dimensionality of model smoothness in anisotropic Besov space
Taiji Suzuki · Atsushi Nitanda
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Optimal Sketching for Trace Estimation
Shuli Jiang · Hai Pham · David Woodruff · Richard Zhang
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Lower and Upper Bounds on the Pseudo-Dimension of Tensor Network Models
Behnoush Khavari · Guillaume Rabusseau
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PARP: Prune, Adjust and Re-Prune for Self-Supervised Speech Recognition
Cheng-I Jeff Lai · Yang Zhang · Alexander Liu · Shiyu Chang · Yi-Lun Liao · Yung-Sung Chuang · Kaizhi Qian · Sameer Khurana · David Cox · Jim Glass
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SPANN: Highly-efficient Billion-scale Approximate Nearest Neighborhood Search
Qi Chen · Bing Zhao · Haidong Wang · Mingqin Li · Chuanjie Liu · Zengzhong Li · Mao Yang · Jingdong Wang
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Clustering Effect of Adversarial Robust Models
Yang Bai · Xin Yan · Yong Jiang · Shu-Tao Xia · Yisen Wang
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Calibration and Consistency of Adversarial Surrogate Losses
Pranjal Awasthi · Natalie Frank · Anqi Mao · Mehryar Mohri · Yutao Zhong
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Invariance Principle Meets Information Bottleneck for Out-of-Distribution Generalization
Kartik Ahuja · Ethan Caballero · Dinghuai Zhang · Jean-Christophe Gagnon-Audet · Yoshua Bengio · Ioannis Mitliagkas · Irina Rish
Spotlight
The functional specialization of visual cortex emerges from training parallel pathways with self-supervised predictive learning
Shahab Bakhtiari · Patrick Mineault · Timothy Lillicrap · Christopher Pack · Blake Richards
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Is Automated Topic Model Evaluation Broken? The Incoherence of Coherence
Alexander Hoyle · Pranav Goel · Andrew Hian-Cheong · Denis Peskov · Jordan Boyd-Graber · Philip Resnik
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A sampling-based circuit for optimal decision making
Camille Rullán Buxó · Cristina Savin
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Foundations of Symbolic Languages for Model Interpretability
Marcelo Arenas · Daniel Báez · Pablo Barceló · Jorge Pérez · Bernardo Subercaseaux
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Generalization Bounds For Meta-Learning: An Information-Theoretic Analysis
Qi CHEN · Changjian Shui · Mario Marchand
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Variational Bayesian Optimistic Sampling
Brendan O'Donoghue · Tor Lattimore
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Neural optimal feedback control with local learning rules
Johannes Friedrich · Siavash Golkar · Shiva Farashahi · Alexander Genkin · Anirvan Sengupta · Dmitri Chklovskii
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Spherical Motion Dynamics: Learning Dynamics of Normalized Neural Network using SGD and Weight Decay
Ruosi Wan · Zhanxing Zhu · Xiangyu Zhang · Jian Sun
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Probabilistic Attention for Interactive Segmentation
Prasad Gabbur · Manjot Bilkhu · Javier Movellan
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Property-Aware Relation Networks for Few-Shot Molecular Property Prediction
Yaqing Wang · Abulikemu Abuduweili · Quanming Yao · Dejing Dou
Spotlight
Neural Scene Flow Prior
Xueqian Li · Jhony Kaesemodel Pontes · Simon Lucey
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A Provably Efficient Sample Collection Strategy for Reinforcement Learning
Jean Tarbouriech · Matteo Pirotta · Michal Valko · Alessandro Lazaric
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Your head is there to move you around: Goal-driven models of the primate dorsal pathway
Patrick Mineault · Shahab Bakhtiari · Blake Richards · Christopher Pack
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Align before Fuse: Vision and Language Representation Learning with Momentum Distillation
Junnan Li · Ramprasaath Selvaraju · Akhilesh Gotmare · Shafiq Joty · Caiming Xiong · Steven Chu Hong Hoi
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Neural Additive Models: Interpretable Machine Learning with Neural Nets
Rishabh Agarwal · Levi Melnick · Nicholas Frosst · Xuezhou Zhang · Ben Lengerich · Rich Caruana · Geoffrey Hinton
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Habitat 2.0: Training Home Assistants to Rearrange their Habitat
Andrew Szot · Alexander Clegg · Eric Undersander · Erik Wijmans · Yili Zhao · John Turner · Noah Maestre · Mustafa Mukadam · Devendra Singh Chaplot · Oleksandr Maksymets · Aaron Gokaslan · Vladimír Vondruš · Sameer Dharur · Franziska Meier · Wojciech Galuba · Angel Chang · Zsolt Kira · Vladlen Koltun · Jitendra Malik · Manolis Savva · Dhruv Batra
Spotlight
TOHAN: A One-step Approach towards Few-shot Hypothesis Adaptation
Haoang Chi · Feng Liu · Wenjing Yang · Long Lan · Tongliang Liu · Bo Han · William Cheung · James Kwok
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Variational Inference for Continuous-Time Switching Dynamical Systems
Lukas Köhs · Bastian Alt · Heinz Koeppl
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Excess Capacity and Backdoor Poisoning
Naren Manoj · Avrim Blum
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Breaking the Dilemma of Medical Image-to-image Translation
Lingke Kong · Chenyu Lian · Detian Huang · zhenjiang li · Yanle Hu · Qichao Zhou
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Second-Order Neural ODE Optimizer
Guan-Horng Liu · Tianrong Chen · Evangelos Theodorou
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Sequential Algorithms for Testing Closeness of Distributions
Aadil Oufkir · Omar Fawzi · Nicolas Flammarion · Aurélien Garivier
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What’s a good imputation to predict with missing values?
Marine Le Morvan · Julie Josse · Erwan Scornet · Gael Varoquaux
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Optimal Policies Tend To Seek Power
Alex Turner · Logan Smith · Rohin Shah · Andrew Critch · Prasad Tadepalli
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Width-based Lookaheads with Learnt Base Policies and Heuristics Over the Atari-2600 Benchmark
Stefan O'Toole · Nir Lipovetzky · Miquel Ramirez · Adrian Pearce
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A Normative and Biologically Plausible Algorithm for Independent Component Analysis
Yanis Bahroun · Dmitri Chklovskii · Anirvan Sengupta
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Online Selective Classification with Limited Feedback
Aditya Gangrade · Anil Kag · Ashok Cutkosky · Venkatesh Saligrama
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Correlated Stochastic Block Models: Exact Graph Matching with Applications to Recovering Communities
Miklos Racz · Anirudh Sridhar
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Instance-Dependent Partial Label Learning
Ning Xu · Congyu Qiao · Xin Geng · Min-Ling Zhang
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Online Sign Identification: Minimization of the Number of Errors in Thresholding Bandits
Reda Ouhamma · Odalric-Ambrym Maillard · Vianney Perchet
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Across-animal odor decoding by probabilistic manifold alignment
Pedro Herrero-Vidal · Dmitry Rinberg · Cristina Savin
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Coresets for Time Series Clustering
Lingxiao Huang · K Sudhir · Nisheeth Vishnoi
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Online and Offline Reinforcement Learning by Planning with a Learned Model
Julian Schrittwieser · Thomas Hubert · Amol Mandhane · Mohammadamin Barekatain · Ioannis Antonoglou · David Silver
Spotlight
Explaining heterogeneity in medial entorhinal cortex with task-driven neural networks
Aran Nayebi · Alexander Attinger · Malcolm Campbell · Kiah Hardcastle · Isabel Low · Caitlin S Mallory · Gabriel Mel · Ben Sorscher · Alex H Williams · Surya Ganguli · Lisa Giocomo · Dan Yamins
Spotlight
A Closer Look at the Worst-case Behavior of Multi-armed Bandit Algorithms
Anand Kalvit · Assaf Zeevi
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Learning to See by Looking at Noise
Manel Baradad Jurjo · Jonas Wulff · Tongzhou Wang · Phillip Isola · Antonio Torralba
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IQ-Learn: Inverse soft-Q Learning for Imitation
Divyansh Garg · Shuvam Chakraborty · Chris Cundy · Jiaming Song · Stefano Ermon
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Newton-LESS: Sparsification without Trade-offs for the Sketched Newton Update
Michal Derezinski · Jonathan Lacotte · Mert Pilanci · Michael Mahoney
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Overcoming Catastrophic Forgetting in Incremental Few-Shot Learning by Finding Flat Minima
Guangyuan SHI · JIAXIN CHEN · Wenlong Zhang · Li-Ming Zhan · Xiao-Ming Wu
Spotlight
A Geometric Perspective towards Neural Calibration via Sensitivity Decomposition
Junjiao Tian · Dylan Yung · Yen-Chang Hsu · Zsolt Kira
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Offline Reinforcement Learning as One Big Sequence Modeling Problem
Michael Janner · Qiyang Li · Sergey Levine
Spotlight
Uncertain Decisions Facilitate Better Preference Learning
Cassidy Laidlaw · Stuart Russell
Spotlight
DropGNN: Random Dropouts Increase the Expressiveness of Graph Neural Networks
Pál András Papp · Karolis Martinkus · Lukas Faber · Roger Wattenhofer
Spotlight
Constrained Robust Submodular Partitioning
Shengjie Wang · Tianyi Zhou · Chandrashekhar Lavania · Jeff A Bilmes
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Deep Self-Dissimilarities as Powerful Visual Fingerprints
Idan Kligvasser · Tamar Shaham · Yuval Bahat · Tomer Michaeli
Spotlight
Intriguing Properties of Vision Transformers
Muhammad Muzammal Naseer · Kanchana Ranasinghe · Salman H Khan · Munawar Hayat · Fahad Shahbaz Khan · Ming-Hsuan Yang
Spotlight
Robust Learning of Optimal Auctions
Wenshuo Guo · Michael Jordan · Emmanouil Zampetakis
Spotlight
A Variational Perspective on Diffusion-Based Generative Models and Score Matching
Chin-Wei Huang · Jae Hyun Lim · Aaron Courville
Spotlight
The Semi-Random Satisfaction of Voting Axioms
Lirong Xia
Spotlight
Robust and Fully-Dynamic Coreset for Continuous-and-Bounded Learning (With Outliers) Problems
Zixiu Wang · Yiwen Guo · Hu Ding
Spotlight
Double Machine Learning Density Estimation for Local Treatment Effects with Instruments
Yonghan Jung · Jin Tian · Elias Bareinboim
Spotlight
Explaining Latent Representations with a Corpus of Examples
Jonathan Crabbe · Zhaozhi Qian · Fergus Imrie · Mihaela van der Schaar
Spotlight
Long Short-Term Transformer for Online Action Detection
Mingze Xu · Yuanjun Xiong · Hao Chen · Xinyu Li · Wei Xia · Zhuowen Tu · Stefano Soatto
Spotlight
Fair Sparse Regression with Clustering: An Invex Relaxation for a Combinatorial Problem
Adarsh Barik · Jean Honorio
Spotlight
Supercharging Imbalanced Data Learning With Energy-based Contrastive Representation Transfer
Junya Chen · Zidi Xiu · Benjamin Goldstein · Ricardo Henao · Lawrence Carin · Chenyang Tao
Spotlight
Batch Normalization Orthogonalizes Representations in Deep Random Networks
Hadi Daneshmand · Amir Joudaki · Francis Bach
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Subgame solving without common knowledge
Brian Zhang · Tuomas Sandholm
Spotlight
Counterfactual Invariance to Spurious Correlations in Text Classification
Victor Veitch · Alexander D'Amour · Steve Yadlowsky · Jacob Eisenstein
Spotlight
Information Directed Sampling for Sparse Linear Bandits
Botao Hao · Tor Lattimore · Wei Deng
Spotlight
Learning MDPs from Features: Predict-Then-Optimize for Sequential Decision Making by Reinforcement Learning
Kai Wang · Sanket Shah · Haipeng Chen · Andrew Perrault · Finale Doshi-Velez · Milind Tambe
Spotlight
Embedding Principle of Loss Landscape of Deep Neural Networks
Yaoyu Zhang · Zhongwang Zhang · Tao Luo · Zhiqin J Xu
Spotlight
On the Existence of The Adversarial Bayes Classifier
Pranjal Awasthi · Natalie Frank · Mehryar Mohri
Spotlight
Pruning Randomly Initialized Neural Networks with Iterative Randomization
Daiki Chijiwa · Shin'ya Yamaguchi · Yasutoshi Ida · Kenji Umakoshi · Tomohiro INOUE
Spotlight
Slice Sampling Reparameterization Gradients
David Zoltowski · Diana Cai · Ryan Adams
Spotlight
RL for Latent MDPs: Regret Guarantees and a Lower Bound
Jeongyeol Kwon · Yonathan Efroni · Constantine Caramanis · Shie Mannor
Spotlight
Make Sure You're Unsure: A Framework for Verifying Probabilistic Specifications
Leonard Berrada · Sumanth Dathathri · Krishnamurthy Dvijotham · Robert Stanforth · Rudy Bunel · Jonathan Uesato · Sven Gowal · M. Pawan Kumar
Spotlight
Credit Assignment in Neural Networks through Deep Feedback Control
Alexander Meulemans · Matilde Tristany Farinha · Javier Garcia Ordonez · Pau Vilimelis Aceituno · João Sacramento · Benjamin F. Grewe
Spotlight
Baleen: Robust Multi-Hop Reasoning at Scale via Condensed Retrieval
Omar Khattab · Christopher Potts · Matei Zaharia
Spotlight
Bellman Eluder Dimension: New Rich Classes of RL Problems, and Sample-Efficient Algorithms
Chi Jin · Qinghua Liu · Sobhan Miryoosefi
Spotlight
Learning to delegate for large-scale vehicle routing
Sirui Li · Zhongxia Yan · Cathy Wu
Spotlight
Stochastic Shortest Path: Minimax, Parameter-Free and Towards Horizon-Free Regret
Jean Tarbouriech · Runlong Zhou · Simon Du · Matteo Pirotta · Michal Valko · Alessandro Lazaric
Spotlight
Techniques for Symbol Grounding with SATNet
Sever Topan · David Rolnick · Xujie Si
Spotlight
The Sensory Neuron as a Transformer: Permutation-Invariant Neural Networks for Reinforcement Learning
Yujin Tang · David Ha
Spotlight
SLOE: A Faster Method for Statistical Inference in High-Dimensional Logistic Regression
Steve Yadlowsky · Taedong Yun · Cory Y McLean · Alexander D'Amour
Spotlight
NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction
Peng Wang · Lingjie Liu · Yuan Liu · Christian Theobalt · Taku Komura · Wenping Wang
Spotlight
On the Representation of Solutions to Elliptic PDEs in Barron Spaces
Ziang Chen · Jianfeng Lu · Yulong Lu
Spotlight
Learning Interpretable Decision Rule Sets: A Submodular Optimization Approach
Fan Yang · Kai He · Linxiao Yang · Hongxia Du · Jingbang Yang · Bo Yang · Liang Sun
Spotlight
Amortized Synthesis of Constrained Configurations Using a Differentiable Surrogate
Xingyuan Sun · Tianju Xue · Szymon Rusinkiewicz · Ryan Adams
Spotlight
Improved Learning Rates of a Functional Lasso-type SVM with Sparse Multi-Kernel Representation
shaogao lv · Junhui Wang · Jiankun Liu · Yong Liu
Spotlight
Maximum Likelihood Training of Score-Based Diffusion Models
Yang Song · Conor Durkan · Iain Murray · Stefano Ermon
Spotlight
Vector-valued Distance and Gyrocalculus on the Space of Symmetric Positive Definite Matrices
Federico López · Beatrice Pozzetti · Steve Trettel · Michael Strube · Anna Wienhard
Spotlight
ViSER: Video-Specific Surface Embeddings for Articulated 3D Shape Reconstruction
Gengshan Yang · Deqing Sun · Varun Jampani · Daniel Vlasic · Forrester Cole · Ce Liu · Deva Ramanan
Spotlight
H-NeRF: Neural Radiance Fields for Rendering and Temporal Reconstruction of Humans in Motion
Hongyi Xu · Thiemo Alldieck · Cristian Sminchisescu
Spotlight
Refined Learning Bounds for Kernel and Approximate $k$-Means
Yong Liu
Spotlight
A Theory-Driven Self-Labeling Refinement Method for Contrastive Representation Learning
Pan Zhou · Caiming Xiong · Xiaotong Yuan · Steven Chu Hong Hoi
Spotlight
Efficiently Identifying Task Groupings for Multi-Task Learning
Chris Fifty · Ehsan Amid · Zhe Zhao · Tianhe Yu · Rohan Anil · Chelsea Finn
Spotlight
Understanding the Under-Coverage Bias in Uncertainty Estimation
Yu Bai · Song Mei · Huan Wang · Caiming Xiong
Spotlight
Learning Gaussian Mixtures with Generalized Linear Models: Precise Asymptotics in High-dimensions
Bruno Loureiro · Gabriele Sicuro · Cedric Gerbelot · Alessandro Pacco · Florent Krzakala · Lenka Zdeborová
Spotlight
Lossy Compression for Lossless Prediction
Yann Dubois · Benjamin Bloem-Reddy · Karen Ullrich · Chris Maddison
Spotlight
PLUR: A Unifying, Graph-Based View of Program Learning, Understanding, and Repair
Zimin Chen · Vincent J Hellendoorn · Pascal Lamblin · Petros Maniatis · Pierre-Antoine Manzagol · Daniel Tarlow · Subhodeep Moitra
Spotlight
Self-Supervised Learning Disentangled Group Representation as Feature
Tan Wang · Zhongqi Yue · Jianqiang Huang · Qianru Sun · Hanwang Zhang
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Node Dependent Local Smoothing for Scalable Graph Learning
Wentao Zhang · Mingyu Yang · Zeang Sheng · Yang Li · Wen Ouyang · Yangyu Tao · Zhi Yang · Bin CUI
Spotlight
Hash Layers For Large Sparse Models
Stephen Roller · Sainbayar Sukhbaatar · arthur szlam · Jason Weston
Spotlight
RIM: Reliable Influence-based Active Learning on Graphs
Wentao Zhang · Yexin Wang · Zhenbang You · Meng Cao · Ping Huang · Jiulong Shan · Zhi Yang · Bin CUI
Spotlight
Finding Discriminative Filters for Specific Degradations in Blind Super-Resolution
Liangbin Xie · Xintao Wang · Chao Dong · Zhongang Qi · Ying Shan
Spotlight
Task-Adaptive Neural Network Search with Meta-Contrastive Learning
Wonyong Jeong · Hayeon Lee · Geon Park · Eunyoung Hyung · Jinheon Baek · Sung Ju Hwang
Spotlight
Repulsive Deep Ensembles are Bayesian
Francesco D'Angelo · Vincent Fortuin
Spotlight
Training Feedback Spiking Neural Networks by Implicit Differentiation on the Equilibrium State
Mingqing Xiao · Qingyan Meng · Zongpeng Zhang · Yisen Wang · Zhouchen Lin
Spotlight
Why Do Pretrained Language Models Help in Downstream Tasks? An Analysis of Head and Prompt Tuning
Colin Wei · Sang Michael Xie · Tengyu Ma
Spotlight
Look at What I’m Doing: Self-Supervised Spatial Grounding of Narrations in Instructional Videos
Reuben Tan · Bryan Plummer · Kate Saenko · Hailin Jin · Bryan Russell
Spotlight
Generic Neural Architecture Search via Regression
Yuhong Li · Cong Hao · Pan Li · Jinjun Xiong · Deming Chen
Spotlight
Exact marginal prior distributions of finite Bayesian neural networks
Jacob Zavatone-Veth · Cengiz Pehlevan
Spotlight
Neural Human Performer: Learning Generalizable Radiance Fields for Human Performance Rendering
Youngjoong Kwon · Dahun Kim · Duygu Ceylan · Henry Fuchs
Spotlight
Conformal Prediction using Conditional Histograms
Matteo Sesia · Yaniv Romano
Spotlight
Bootstrap Your Object Detector via Mixed Training
Mengde Xu · Zheng Zhang · Fangyun Wei · Yutong Lin · Yue Cao · Stephen Lin · Han Hu · Xiang Bai
Spotlight
Subgaussian and Differentiable Importance Sampling for Off-Policy Evaluation and Learning
Alberto Maria Metelli · Alessio Russo · Marcello Restelli
Spotlight
MEST: Accurate and Fast Memory-Economic Sparse Training Framework on the Edge
Geng Yuan · Xiaolong Ma · Wei Niu · Zhengang Li · Zhenglun Kong · Ning Liu · Yifan Gong · Zheng Zhan · Chaoyang He · Qing Jin · Siyue Wang · Minghai Qin · Bin Ren · Yanzhi Wang · Sijia Liu · Xue Lin
Spotlight
Tractable Regularization of Probabilistic Circuits
Anji Liu · Guy Van den Broeck
Spotlight
Redesigning the Transformer Architecture with Insights from Multi-particle Dynamical Systems
Subhabrata Dutta · Tanya Gautam · Soumen Chakrabarti · Tanmoy Chakraborty
Spotlight
Iteratively Reweighted Least Squares for Basis Pursuit with Global Linear Convergence Rate
Christian Kümmerle · Claudio Mayrink Verdun · Dominik Stöger
Spotlight
Speedy Performance Estimation for Neural Architecture Search
Robin Ru · Clare Lyle · Lisa Schut · Miroslav Fil · Mark van der Wilk · Yarin Gal
Spotlight
Determinantal point processes based on orthogonal polynomials for sampling minibatches in SGD
Rémi Bardenet · Subhroshekhar Ghosh · Meixia LIN
Spotlight
A Geometric Analysis of Neural Collapse with Unconstrained Features
Zhihui Zhu · Tianyu Ding · Jinxin Zhou · Xiao Li · Chong You · Jeremias Sulam · Qing Qu
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Probabilistic Tensor Decomposition of Neural Population Spiking Activity
Hugo Soulat · Sepiedeh Keshavarzi · Troy Margrie · Maneesh Sahani
Spotlight
A Minimalist Approach to Offline Reinforcement Learning
Scott Fujimoto · Shixiang (Shane) Gu
Spotlight
Numerical Composition of Differential Privacy
Sivakanth Gopi · Yin Tat Lee · Lukas Wutschitz
Spotlight
Collaborating with Humans without Human Data
DJ Strouse · Kevin McKee · Matt Botvinick · Edward Hughes · Richard Everett
Spotlight
A flow-based latent state generative model of neural population responses to natural images
Mohammad Bashiri · Edgar Walker · Konstantin-Klemens Lurz · Akshay Jagadish · Taliah Muhammad · Zhiwei Ding · Zhuokun Ding · Andreas Tolias · Fabian Sinz
Spotlight
Measuring Generalization with Optimal Transport
Ching-Yao Chuang · Youssef Mroueh · Kristjan Greenewald · Antonio Torralba · Stefanie Jegelka
Spotlight
SOFT: Softmax-free Transformer with Linear Complexity
Jiachen Lu · Jinghan Yao · Junge Zhang · Xiatian Zhu · Hang Xu · Weiguo Gao · Chunjing XU · Tao Xiang · Li Zhang
Spotlight
Adversarial Teacher-Student Representation Learning for Domain Generalization
Fu-En Yang · Yuan-Chia Cheng · Zu-Yun Shiau · Frank Wang
Spotlight
On the Value of Infinite Gradients in Variational Autoencoder Models
Bin Dai · Li Wenliang · David Wipf
Spotlight
Sliced Mutual Information: A Scalable Measure of Statistical Dependence
Ziv Goldfeld · Kristjan Greenewald
Spotlight
Differentially Private Model Personalization
Prateek Jain · John Rush · Adam Smith · Shuang Song · Abhradeep Guha Thakurta
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Learning with Holographic Reduced Representations
Ashwinkumar Ganesan · Hang Gao · Sunil Gandhi · Edward Raff · Tim Oates · James Holt · Mark McLean
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A Unified Approach to Fair Online Learning via Blackwell Approachability
Evgenii Chzhen · Christophe Giraud · Gilles Stoltz
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A single gradient step finds adversarial examples on random two-layers neural networks
Sebastien Bubeck · Yeshwanth Cherapanamjeri · Gauthier Gidel · Remi Tachet des Combes
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Learning Generalized Gumbel-max Causal Mechanisms
Guy Lorberbom · Daniel D. Johnson · Chris Maddison · Daniel Tarlow · Tamir Hazan
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Early-stopped neural networks are consistent
Ziwei Ji · Justin Li · Matus Telgarsky
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Generalized Depthwise-Separable Convolutions for Adversarially Robust and Efficient Neural Networks
Hassan Dbouk · Naresh Shanbhag
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Uniform Sampling over Episode Difficulty
Sébastien Arnold · Guneet Dhillon · Avinash Ravichandran · Stefano Soatto
Spotlight
Believe What You See: Implicit Constraint Approach for Offline Multi-Agent Reinforcement Learning
Yiqin Yang · Xiaoteng Ma · Chenghao Li · Zewu Zheng · Qiyuan Zhang · Gao Huang · Jun Yang · Qianchuan Zhao
Spotlight
Agnostic Reinforcement Learning with Low-Rank MDPs and Rich Observations
Ayush Sekhari · Christoph Dann · Mehryar Mohri · Yishay Mansour · Karthik Sridharan
Spotlight
An Infinite-Feature Extension for Bayesian ReLU Nets That Fixes Their Asymptotic Overconfidence
Agustinus Kristiadi · Matthias Hein · Philipp Hennig
Spotlight
Beyond Tikhonov: faster learning with self-concordant losses, via iterative regularization
Gaspard Beugnot · Julien Mairal · Alessandro Rudi
Spotlight
Continuous vs. Discrete Optimization of Deep Neural Networks
Omer Elkabetz · Nadav Cohen
Spotlight
Shaping embodied agent behavior with activity-context priors from egocentric video
Tushar Nagarajan · Kristen Grauman
Spotlight
Bayesian Bellman Operators
Mattie Fellows · Kristian Hartikainen · Shimon Whiteson
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Prototypical Cross-Attention Networks for Multiple Object Tracking and Segmentation
Lei Ke · Xia Li · Martin Danelljan · Yu-Wing Tai · Chi-Keung Tang · Fisher Yu
Spotlight
Learning Disentangled Behavior Embeddings
Changhao Shi · Sivan Schwartz · Shahar Levy · Shay Achvat · Maisan Abboud · Amir Ghanayim · Jackie Schiller · Gal Mishne
Spotlight
Program Synthesis Guided Reinforcement Learning for Partially Observed Environments
Yichen Yang · Jeevana Priya Inala · Osbert Bastani · Yewen Pu · Armando Solar-Lezama · Martin Rinard
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PLUGIn: A simple algorithm for inverting generative models with recovery guarantees
Babhru Joshi · Xiaowei Li · Yaniv Plan · Ozgur Yilmaz
Spotlight
Bias and variance of the Bayesian-mean decoder
Arthur Prat-Carrabin · Michael Woodford
Spotlight
Widening the Pipeline in Human-Guided Reinforcement Learning with Explanation and Context-Aware Data Augmentation
Lin Guan · Mudit Verma · Sihang Guo · Ruohan Zhang · Subbarao Kambhampati
Spotlight
Hardware-adaptive Efficient Latency Prediction for NAS via Meta-Learning
Hayeon Lee · Sewoong Lee · Song Chong · Sung Ju Hwang
Spotlight
Safe Reinforcement Learning with Natural Language Constraints
Tsung-Yen Yang · Michael Y Hu · Yinlam Chow · Peter J Ramadge · Karthik Narasimhan
Spotlight
Littlestone Classes are Privately Online Learnable
Noah Golowich · Roi Livni
Spotlight
DOCTOR: A Simple Method for Detecting Misclassification Errors
Federica Granese · Marco Romanelli · Daniele Gorla · Catuscia Palamidessi · Pablo Piantanida
Spotlight
Exploration-Exploitation in Multi-Agent Competition: Convergence with Bounded Rationality
Stefanos Leonardos · Georgios Piliouras · Kelly Spendlove
Spotlight
Perturbation-based Regret Analysis of Predictive Control in Linear Time Varying Systems
Yiheng Lin · Yang Hu · Guanya Shi · Haoyuan Sun · Guannan Qu · Adam Wierman
Spotlight
Subgroup Generalization and Fairness of Graph Neural Networks
Jiaqi Ma · Junwei Deng · Qiaozhu Mei
Spotlight
On Inductive Biases for Heterogeneous Treatment Effect Estimation
Alicia Curth · Mihaela van der Schaar
Spotlight
FjORD: Fair and Accurate Federated Learning under heterogeneous targets with Ordered Dropout
Samuel Horváth · Stefanos Laskaridis · Mario Almeida · Ilias Leontiadis · Stylianos Venieris · Nicholas Lane
Spotlight
Aligning Pretraining for Detection via Object-Level Contrastive Learning
Fangyun Wei · Yue Gao · Zhirong Wu · Han Hu · Stephen Lin
Spotlight
Coresets for Clustering with Missing Values
Vladimir Braverman · Shaofeng Jiang · Robert Krauthgamer · Xuan Wu
Spotlight
Covariance-Aware Private Mean Estimation Without Private Covariance Estimation
Gavin Brown · Marco Gaboardi · Adam Smith · Jonathan Ullman · Lydia Zakynthinou
Spotlight
Private Non-smooth ERM and SCO in Subquadratic Steps
Janardhan Kulkarni · Yin Tat Lee · Daogao Liu
Spotlight
Fast Bayesian Inference for Gaussian Cox Processes via Path Integral Formulation
Hideaki Kim
Spotlight
Tensor Normal Training for Deep Learning Models
Yi Ren · Donald Goldfarb
Spotlight
Reliable Estimation of KL Divergence using a Discriminator in Reproducing Kernel Hilbert Space
Sandesh Ghimire · Aria Masoomi · Jennifer Dy
Spotlight
Multiwavelet-based Operator Learning for Differential Equations
Gaurav Gupta · Xiongye Xiao · Paul Bogdan
Spotlight
Random Shuffling Beats SGD Only After Many Epochs on Ill-Conditioned Problems
Itay Safran · Ohad Shamir
Spotlight
Neural Algorithmic Reasoners are Implicit Planners
Andreea-Ioana Deac · Petar Veličković · Ognjen Milinkovic · Pierre-Luc Bacon · Jian Tang · Mladen Nikolic
Spotlight
Ultrahyperbolic Neural Networks
Marc Law
Spotlight
Semi-Supervised Semantic Segmentation via Adaptive Equalization Learning
Hanzhe Hu · Fangyun Wei · Han Hu · Qiwei Ye · Jinshi Cui · Liwei Wang
Spotlight
On Linear Stability of SGD and Input-Smoothness of Neural Networks
Chao Ma · Lexing Ying
Spotlight
Diffusion Models Beat GANs on Image Synthesis
Prafulla Dhariwal · Alexander Nichol
Spotlight
Bayesian decision-making under misspecified priors with applications to meta-learning
Max Simchowitz · Christopher Tosh · Akshay Krishnamurthy · Daniel Hsu · Thodoris Lykouris · Miro Dudik · Robert Schapire
Spotlight
Regulating algorithmic filtering on social media
Sarah Cen · Devavrat Shah
Spotlight
Test-Time Classifier Adjustment Module for Model-Agnostic Domain Generalization
Yusuke Iwasawa · Yutaka Matsuo
Spotlight
Interactive Label Cleaning with Example-based Explanations
Stefano Teso · Andrea Bontempelli · Fausto Giunchiglia · Andrea Passerini
Spotlight
Learning Equilibria in Matching Markets from Bandit Feedback
Meena Jagadeesan · Alexander Wei · Yixin Wang · Michael Jordan · Jacob Steinhardt
Spotlight
Statistical Regeneration Guarantees of the Wasserstein Autoencoder with Latent Space Consistency
Anish Chakrabarty · Swagatam Das
Spotlight
Forster Decomposition and Learning Halfspaces with Noise
Ilias Diakonikolas · Daniel Kane · Christos Tzamos
Spotlight
Proper Value Equivalence
Christopher Grimm · Andre Barreto · Greg Farquhar · David Silver · Satinder Singh
Spotlight
Subgraph Federated Learning with Missing Neighbor Generation
Ke ZHANG · Carl Yang · Xiaoxiao Li · Lichao Sun · Siu Ming Yiu
Spotlight
Neural Program Generation Modulo Static Analysis
Rohan Mukherjee · Yeming Wen · Dipak Chaudhari · Thomas Reps · Swarat Chaudhuri · Christopher Jermaine
Spotlight
Parametric Complexity Bounds for Approximating PDEs with Neural Networks
Tanya Marwah · Zachary Lipton · Andrej Risteski
Spotlight
Sample Complexity of Tree Search Configuration: Cutting Planes and Beyond
Maria-Florina Balcan · Siddharth Prasad · Tuomas Sandholm · Ellen Vitercik
Spotlight
Averaging on the Bures-Wasserstein manifold: dimension-free convergence of gradient descent
Jason Altschuler · Sinho Chewi · Patrik R Gerber · Austin Stromme
Spotlight
Differential Privacy Dynamics of Langevin Diffusion and Noisy Gradient Descent
Rishav Chourasia · Jiayuan Ye · Reza Shokri
Spotlight
A$^2$-Net: Learning Attribute-Aware Hash Codes for Large-Scale Fine-Grained Image Retrieval
Xiu-Shen Wei · Yang Shen · Xuhao Sun · Han-Jia Ye · Jian Yang
Spotlight
Pragmatic Image Compression for Human-in-the-Loop Decision-Making
Sid Reddy · Anca Dragan · Sergey Levine
Spotlight
Neural Symplectic Form: Learning Hamiltonian Equations on General Coordinate Systems
Yuhan Chen · Takashi Matsubara · Takaharu Yaguchi
Spotlight
Combiner: Full Attention Transformer with Sparse Computation Cost
Hongyu Ren · Hanjun Dai · Zihang Dai · Mengjiao (Sherry) Yang · Jure Leskovec · Dale Schuurmans · Bo Dai
Spotlight
Towards optimally abstaining from prediction with OOD test examples
Adam Kalai · Varun Kanade
Spotlight
Efficient Online Estimation of Causal Effects by Deciding What to Observe
Shantanu Gupta · Zachary Lipton · David Childers
Spotlight
Rethinking gradient sparsification as total error minimization
Atal Sahu · Aritra Dutta · Ahmed M. Abdelmoniem · Trambak Banerjee · Marco Canini · Panos Kalnis
Spotlight
Representation Learning for Event-based Visuomotor Policies
Sai Vemprala · Sami Mian · Ashish Kapoor
Spotlight
Logarithmic Regret in Feature-based Dynamic Pricing
Jianyu Xu · Yu-Xiang Wang
Spotlight
Unintended Selection: Persistent Qualification Rate Disparities and Interventions
Reilly Raab · Yang Liu
Spotlight
Breaking the Sample Complexity Barrier to Regret-Optimal Model-Free Reinforcement Learning
Gen Li · Laixi Shi · Yuxin Chen · Yuantao Gu · Yuejie Chi
Spotlight
On the Power of Differentiable Learning versus PAC and SQ Learning
Emmanuel Abbe · Pritish Kamath · Eran Malach · Colin Sandon · Nathan Srebro
Spotlight
Refining Language Models with Compositional Explanations
Huihan Yao · Ying Chen · Qinyuan Ye · Xisen Jin · Xiang Ren
Spotlight
Per-Pixel Classification is Not All You Need for Semantic Segmentation
Bowen Cheng · Alex Schwing · Alexander Kirillov
Spotlight
Mixture Proportion Estimation and PU Learning:A Modern Approach
Saurabh Garg · Yifan Wu · Alexander Smola · Sivaraman Balakrishnan · Zachary Lipton
Spotlight
Offline RL Without Off-Policy Evaluation
David Brandfonbrener · Will Whitney · Rajesh Ranganath · Joan Bruna
Spotlight
Coresets for Decision Trees of Signals
Ibrahim Jubran · Ernesto Evgeniy Sanches Shayda · Ilan I Newman · Dan Feldman
Spotlight
GeoMol: Torsional Geometric Generation of Molecular 3D Conformer Ensembles
Octavian Ganea · Lagnajit Pattanaik · Connor Coley · Regina Barzilay · Klavs Jensen · William Green · Tommi Jaakkola
Spotlight
How Well do Feature Visualizations Support Causal Understanding of CNN Activations?
Roland S. Zimmermann · Judy Borowski · Robert Geirhos · Matthias Bethge · Thomas Wallis · Wieland Brendel
Spotlight
Revisiting ResNets: Improved Training and Scaling Strategies
Irwan Bello · William Fedus · Xianzhi Du · Ekin Dogus Cubuk · Aravind Srinivas · Tsung-Yi Lin · Jonathon Shlens · Barret Zoph
Spotlight
Improved Coresets and Sublinear Algorithms for Power Means in Euclidean Spaces
Vincent Cohen-Addad · David Saulpic · Chris Schwiegelshohn
Spotlight
Sequence-to-Sequence Learning with Latent Neural Grammars
Yoon Kim
Spotlight
Statistical Query Lower Bounds for List-Decodable Linear Regression
Ilias Diakonikolas · Daniel Kane · Ankit Pensia · Thanasis Pittas · Alistair Stewart
Spotlight
DiBS: Differentiable Bayesian Structure Learning
Lars Lorch · Jonas Rothfuss · Bernhard Schölkopf · Andreas Krause
Spotlight
Focal Attention for Long-Range Interactions in Vision Transformers
Jianwei Yang · Chunyuan Li · Pengchuan Zhang · Xiyang Dai · Bin Xiao · Lu Yuan · Jianfeng Gao
Spotlight
Multimodal and Multilingual Embeddings for Large-Scale Speech Mining
Paul-Ambroise Duquenne · Hongyu Gong · Holger Schwenk
Spotlight
Doubly Robust Thompson Sampling with Linear Payoffs
Wonyoung Kim · Gi-Soo Kim · Myunghee Cho Paik
Spotlight
iFlow: Numerically Invertible Flows for Efficient Lossless Compression via a Uniform Coder
Shifeng Zhang · Ning Kang · Tom Ryder · Zhenguo Li
Spotlight
Two steps to risk sensitivity
Christopher Gagne · Peter Dayan
Spotlight
Towards Gradient-based Bilevel Optimization with Non-convex Followers and Beyond
Risheng Liu · Yaohua Liu · Shangzhi Zeng · Jin Zhang
Spotlight
Instance-Conditioned GAN
Arantxa Casanova · Marlene Careil · Jakob Verbeek · Michal Drozdzal · Adriana Romero Soriano
Spotlight
Diffusion Schrödinger Bridge with Applications to Score-Based Generative Modeling
Valentin De Bortoli · James Thornton · Jeremy Heng · Arnaud Doucet
Spotlight
Flexible Option Learning
Martin Klissarov · Doina Precup
Spotlight
A Central Limit Theorem for Differentially Private Query Answering
Jinshuo Dong · Weijie Su · Linjun Zhang
Spotlight
Practical Near Neighbor Search via Group Testing
Joshua Engels · Benjamin Coleman · Anshumali Shrivastava
Spotlight
Near-optimal Offline and Streaming Algorithms for Learning Non-Linear Dynamical Systems
Suhas Kowshik · Dheeraj Nagaraj · Prateek Jain · Praneeth Netrapalli
Spotlight
Fractal Structure and Generalization Properties of Stochastic Optimization Algorithms
Alexander Camuto · George Deligiannidis · Murat Erdogdu · Mert Gurbuzbalaban · Umut Simsekli · Lingjiong Zhu
Spotlight
Behavior From the Void: Unsupervised Active Pre-Training
Hao Liu · Pieter Abbeel
Spotlight
Decentralized Learning in Online Queuing Systems
Flore Sentenac · Etienne Boursier · Vianney Perchet
Spotlight
Profiling Pareto Front With Multi-Objective Stein Variational Gradient Descent
Xingchao Liu · Xin Tong · Qiang Liu
Spotlight
Light Field Networks: Neural Scene Representations with Single-Evaluation Rendering
Vincent Sitzmann · Semon Rezchikov · Bill Freeman · Josh Tenenbaum · Fredo Durand
Spotlight
Closing the Gap: Tighter Analysis of Alternating Stochastic Gradient Methods for Bilevel Problems
Tianyi Chen · Yuejiao Sun · Wotao Yin
Spotlight
Robust Predictable Control
Ben Eysenbach · Russ Salakhutdinov · Sergey Levine
Spotlight
List-Decodable Mean Estimation in Nearly-PCA Time
Ilias Diakonikolas · Daniel Kane · Daniel Kongsgaard · Jerry Li · Kevin Tian
Spotlight
Online Active Learning with Surrogate Loss Functions
Giulia DeSalvo · Claudio Gentile · Tobias Sommer Thune
Spotlight
Learning Large Neighborhood Search Policy for Integer Programming
Yaoxin Wu · Wen Song · Zhiguang Cao · Jie Zhang
Spotlight
Mixability made efficient: Fast online multiclass logistic regression
Rémi Jézéquel · Pierre Gaillard · Alessandro Rudi
Spotlight
Near-Optimal Lower Bounds For Convex Optimization For All Orders of Smoothness
Ankit Garg · Robin Kothari · Praneeth Netrapalli · Suhail Sherif
Spotlight
Representation Learning Beyond Linear Prediction Functions
Ziping Xu · Ambuj Tewari
Spotlight
Private learning implies quantum stability
Yihui Quek · Srinivasan Arunachalam · John A Smolin
Spotlight
Mind the Gap: Assessing Temporal Generalization in Neural Language Models
Angeliki Lazaridou · Adhi Kuncoro · Elena Gribovskaya · Devang Agrawal · Adam Liska · Tayfun Terzi · Mai Gimenez · Cyprien de Masson d'Autume · Tomas Kocisky · Sebastian Ruder · Dani Yogatama · Kris Cao · Susannah Barlow · Phil Blunsom
Spotlight
Learning to Compose Visual Relations
Nan Liu · Shuang Li · Yilun Du · Josh Tenenbaum · Antonio Torralba
Spotlight
Iterative Teaching by Label Synthesis
Weiyang Liu · Zhen Liu · Hanchen Wang · Liam Paull · Bernhard Schölkopf · Adrian Weller
Spotlight
Necessary and sufficient graphical conditions for optimal adjustment sets in causal graphical models with hidden variables
Jakob Runge
Spotlight
Process for Adapting Language Models to Society (PALMS) with Values-Targeted Datasets
Irene Solaiman · Christy Dennison
Spotlight
Bootstrapping the Error of Oja's Algorithm
Robert Lunde · Purnamrita Sarkar · Rachel Ward
Spotlight
Dense Keypoints via Multiview Supervision
Zhixuan Yu · Haozheng Yu · Long Sha · Sujoy Ganguly · Hyun Soo Park
Spotlight
Towards a Unified Information-Theoretic Framework for Generalization
Mahdi Haghifam · Gintare Karolina Dziugaite · Shay Moran · Dan Roy
Spotlight
Aligned Structured Sparsity Learning for Efficient Image Super-Resolution
Yulun Zhang · Huan Wang · Can Qin · Yun Fu
Spotlight
Auditing Black-Box Prediction Models for Data Minimization Compliance
Bashir Rastegarpanah · Krishna Gummadi · Mark Crovella
Tutorial
Mon Dec 06 01:00 AM -- 04:30 AM (PST)
Pay Attention to What You Need: Do Structural Priors Still Matter in the Age of Billion Parameter Models?
Irina Higgins · Antonia Creswell · Sébastien Racanière
Tutorial
Mon Dec 06 01:00 AM -- 04:50 AM (PST) @ Virtual
Real-Time Optimization for Fast and Complex Control Systems
Toshiyuki Ohtsuka
[ Slides
Tutorial
Mon Dec 06 05:00 AM -- 09:00 AM (PST)
Machine Learning With Quantum Computers
Maria Schuld · Juan Carrasquilla
Tutorial
Mon Dec 06 05:00 AM -- 08:00 AM (PST) @ Virtual
A Journey Through the Opportunity of Low Resourced Natural Language Processing — An African Lens
Vukosi Marivate · David Adelani
[ Slides
Tutorial
Mon Dec 06 09:00 AM -- 01:00 PM (PST) @ Virtual
ML for Physics and Physics for ML
Shirley Ho · Miles Cranmer
[ Slides
Tutorial
Mon Dec 06 09:00 AM -- 01:00 PM (PST) @ Virtual
The Art of Gaussian Processes: Classical and Contemporary
César Lincoln Mattos · Felipe Tobar
[ Slides
Tutorial
Mon Dec 06 01:00 PM -- 05:00 PM (PST) @ Virtual
Machine Learning and Statistics for Climate Science
Karen A McKinnon · Andrew N Poppick
[ Slides
Tutorial
Mon Dec 06 01:00 PM -- 05:00 PM (PST)
Beyond Fairness in Machine Learning
Timnit Gebru · Emily Denton
Tutorial
Mon Dec 06 05:00 PM -- 07:21 PM (PST) @ Virtual
Self-Supervised Learning: Self-Prediction and Contrastive Learning
Lilian Weng · Jong Wook Kim
[ Slides
Tutorial
Mon Dec 06 05:00 PM -- 09:00 PM (PST) @ Virtual
Message Passing In Machine Learning
Wee Sun Lee
[ Slides
Affinity Poster Session
Mon Dec 06 09:00 PM -- 11:00 PM (PST)
Joint Affinity Poster Session
Panel
Mon Dec 06 11:00 PM -- 12:00 AM (PST)
The Consequences of Massive Scaling in Machine Learning
Noah Goodman · Melanie Mitchell · Joelle Pineau · Oriol Vinyals · Jared Kaplan
Datasets and Benchmarks
Tue Dec 07 12:00 AM -- 02:00 AM (PST)
Dataset and Benchmark Track 1
Joaquin Vanschoren · Serena Yeung
Oral
Tue Dec 07 12:00 AM -- 12:15 AM (PST)
E(n) Equivariant Normalizing Flows
Victor Garcia Satorras · Emiel Hoogeboom · Fabian Fuchs · Ingmar Posner · Max Welling
Oral
Tue Dec 07 12:00 AM -- 12:15 AM (PST)
Framing RNN as a kernel method: A neural ODE approach
Adeline Fermanian · Pierre Marion · Jean-Philippe Vert · Gérard Biau
Oral
Tue Dec 07 12:00 AM -- 12:15 AM (PST)
Separation Results between Fixed-Kernel and Feature-Learning Probability Metrics
Carles Domingo i Enrich · Youssef Mroueh
Oral
Tue Dec 07 12:00 AM -- 12:15 AM (PST)
MAUVE: Measuring the Gap Between Neural Text and Human Text using Divergence Frontiers
Krishna Pillutla · Swabha Swayamdipta · Rowan Zellers · John Thickstun · Sean Welleck · Yejin Choi · Zaid Harchaoui
Q&A
Tue Dec 07 12:15 AM -- 12:20 AM (PST)
Q&A
Q&A
Tue Dec 07 12:15 AM -- 12:20 AM (PST)
Q&A
Q&A
Tue Dec 07 12:15 AM -- 12:20 AM (PST)
Q&A
Q&A
Tue Dec 07 12:15 AM -- 12:20 AM (PST)
Q&A
Oral
Tue Dec 07 12:20 AM -- 12:35 AM (PST)
Online Variational Filtering and Parameter Learning
Andrew Campbell · Yuyang Shi · Thomas Rainforth · Arnaud Doucet
Oral
Tue Dec 07 12:20 AM -- 12:35 AM (PST)
Learning to Draw: Emergent Communication through Sketching
Daniela Mihai · Jonathon Hare
Oral
Tue Dec 07 12:20 AM -- 12:35 AM (PST)
A Universal Law of Robustness via Isoperimetry
Sebastien Bubeck · Mark Sellke
Oral
Tue Dec 07 12:20 AM -- 12:35 AM (PST)
Near-Optimal No-Regret Learning in General Games
Constantinos Daskalakis · Maxwell Fishelson · Noah Golowich
Q&A
Tue Dec 07 12:35 AM -- 12:40 AM (PST)
Q&A
Q&A
Tue Dec 07 12:35 AM -- 12:40 AM (PST)
Q&A
Q&A
Tue Dec 07 12:35 AM -- 12:40 AM (PST)
Q&A
Q&A
Tue Dec 07 12:35 AM -- 12:40 AM (PST)
Q&A
Oral
Tue Dec 07 12:40 AM -- 12:55 AM (PST)
Latent Equilibrium: A unified learning theory for arbitrarily fast computation with arbitrarily slow neurons
Paul Haider · Benjamin Ellenberger · Laura Kriener · Jakob Jordan · Walter Senn · Mihai A. Petrovici
Oral
Tue Dec 07 12:40 AM -- 12:55 AM (PST)
Causal Identification with Matrix Equations
Sanghack Lee · Elias Bareinboim
Oral
Tue Dec 07 12:40 AM -- 12:55 AM (PST)
Lower Bounds on Metropolized Sampling Methods for Well-Conditioned Distributions
Yin Tat Lee · Ruoqi Shen · Kevin Tian
Oral
Tue Dec 07 12:40 AM -- 12:55 AM (PST)
Alias-Free Generative Adversarial Networks
Tero Karras · Miika Aittala · Samuli Laine · Erik Härkönen · Janne Hellsten · Jaakko Lehtinen · Timo Aila
Q&A
Tue Dec 07 12:55 AM -- 01:00 AM (PST)
Q&A
Q&A
Tue Dec 07 12:55 AM -- 01:00 AM (PST)
Q&A
Q&A
Tue Dec 07 12:55 AM -- 01:00 AM (PST)
Q&A
Q&A
Tue Dec 07 12:55 AM -- 01:00 AM (PST)
Q&A
Oral
Tue Dec 07 01:00 AM -- 01:15 AM (PST)
EF21: A New, Simpler, Theoretically Better, and Practically Faster Error Feedback
Peter Richtarik · Igor Sokolov · Ilyas Fatkhullin
Oral
Tue Dec 07 01:00 AM -- 01:15 AM (PST)
Attention over Learned Object Embeddings Enables Complex Visual Reasoning
David Ding · Felix Hill · Adam Santoro · Malcolm Reynolds · Matt Botvinick
Oral
Tue Dec 07 01:00 AM -- 01:15 AM (PST)
An Exponential Lower Bound for Linearly Realizable MDP with Constant Suboptimality Gap
Yuanhao Wang · Ruosong Wang · Sham Kakade
Oral
Tue Dec 07 01:00 AM -- 01:15 AM (PST)
Data driven semi-supervised learning
Maria-Florina Balcan · Dravyansh Sharma
Q&A
Tue Dec 07 01:15 AM -- 01:20 AM (PST)
Q&A
Q&A
Tue Dec 07 01:15 AM -- 01:20 AM (PST)
Q&A
Q&A
Tue Dec 07 01:15 AM -- 01:20 AM (PST)
Q&A
Q&A
Tue Dec 07 01:15 AM -- 01:20 AM (PST)
Q&A
Oral
Tue Dec 07 01:20 AM -- 01:35 AM (PST)
Differentiable Quality Diversity
Matthew Fontaine · Stefanos Nikolaidis
Oral
Tue Dec 07 01:20 AM -- 01:35 AM (PST)
Stability and Deviation Optimal Risk Bounds with Convergence Rate $O(1/n)$
Yegor Klochkov · Nikita Zhivotovskiy
Oral
Tue Dec 07 01:20 AM -- 01:35 AM (PST)
Learning Frequency Domain Approximation for Binary Neural Networks
Yixing Xu · Kai Han · Chang Xu · Yehui Tang · Chunjing XU · Yunhe Wang
Oral
Tue Dec 07 01:20 AM -- 01:35 AM (PST)
On the Expressivity of Markov Reward
David Abel · Will Dabney · Anna Harutyunyan · Mark Ho · Michael Littman · Doina Precup · Satinder Singh
Q&A
Tue Dec 07 01:35 AM -- 01:40 AM (PST)
Q&A
Q&A
Tue Dec 07 01:35 AM -- 01:40 AM (PST)
Q&A
Q&A
Tue Dec 07 01:35 AM -- 01:40 AM (PST)
Q&A
Q&A
Tue Dec 07 01:35 AM -- 01:40 AM (PST)
Q&A
Oral
Tue Dec 07 01:40 AM -- 01:55 AM (PST)
Hessian Eigenspectra of More Realistic Nonlinear Models
Zhenyu Liao · Michael Mahoney
Oral
Tue Dec 07 01:40 AM -- 01:55 AM (PST)
The Complexity of Bayesian Network Learning: Revisiting the Superstructure
Robert Ganian · Viktoriia Korchemna
Oral
Tue Dec 07 01:40 AM -- 01:55 AM (PST)
Learning Debiased Representation via Disentangled Feature Augmentation
Jungsoo Lee · Eungyeup Kim · Juyoung Lee · Jihyeon Lee · Jaegul Choo
Oral
Tue Dec 07 01:40 AM -- 01:55 AM (PST)
The best of both worlds: stochastic and adversarial episodic MDPs with unknown transition
Tiancheng Jin · Longbo Huang · Haipeng Luo
Q&A
Tue Dec 07 01:55 AM -- 02:00 AM (PST)
Q&A
Q&A
Tue Dec 07 01:55 AM -- 02:00 AM (PST)
Q&A
Q&A
Tue Dec 07 01:55 AM -- 02:00 AM (PST)
Q&A
Q&A
Tue Dec 07 01:55 AM -- 02:00 AM (PST)
Q&A
Affinity Workshop
Tue Dec 07 05:00 AM -- 07:00 AM (PST)
Queer in AI Workshop 1
Claas Voelcker · Arjun Subramonian · Vishakha Agrawal · Luca Soldaini · Pan Xu · Pranav A · William Agnew · Juan Pajaro Velasquez · Yanan Long · Sharvani Jha · Ashwin S · Mary Anne Smart · Patrick Feeney · Ruchira Ray
Affinity Workshop
Tue Dec 07 06:02 AM -- 06:50 AM (PST)
New in ML 1
Haozhe Sun · Wenzhuo Liu · Joseph Pedersen
Invited Talk
Tue Dec 07 07:00 AM -- 08:30 AM (PST)
How Duolingo Uses AI to Assess, Engage and Teach Better
Luis von Ahn
Datasets and Benchmarks
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Dataset and Benchmark Poster Session 1
Joaquin Vanschoren · Serena Yeung
Demonstration
Tue Dec 07 08:30 AM -- 09:35 AM (PST)
Demonstrations 1
Douwe Kiela · Barbara Caputo · Marco Ciccone
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Fast rates for prediction with limited expert advice
El Mehdi Saad · Gilles Blanchard
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Leveraging Distribution Alignment via Stein Path for Cross-Domain Cold-Start Recommendation
Weiming Liu · Jiajie Su · Chaochao Chen · Xiaolin Zheng
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Neural Pseudo-Label Optimism for the Bank Loan Problem
Aldo Pacchiano · Shaun Singh · Edward Chou · Alex Berg · Jakob Foerster
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Robustness via Uncertainty-aware Cycle Consistency
Uddeshya Upadhyay · Yanbei Chen · Zeynep Akata
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Fast and accurate randomized algorithms for low-rank tensor decompositions
Linjian Ma · Edgar Solomonik
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Towards Sample-efficient Overparameterized Meta-learning
Yue Sun · Adhyyan Narang · Ibrahim Gulluk · Samet Oymak · Maryam Fazel
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Wisdom of the Crowd Voting: Truthful Aggregation of Voter Information and Preferences
Grant Schoenebeck · Biaoshuai Tao
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
DiBS: Differentiable Bayesian Structure Learning
Lars Lorch · Jonas Rothfuss · Bernhard Schölkopf · Andreas Krause
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Do Vision Transformers See Like Convolutional Neural Networks?
Maithra Raghu · Thomas Unterthiner · Simon Kornblith · Chiyuan Zhang · Alexey Dosovitskiy
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Measuring Generalization with Optimal Transport
Ching-Yao Chuang · Youssef Mroueh · Kristjan Greenewald · Antonio Torralba · Stefanie Jegelka
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Stabilizing Dynamical Systems via Policy Gradient Methods
Juan Perdomo · Jack Umenberger · Max Simchowitz
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Inverse Optimal Control Adapted to the Noise Characteristics of the Human Sensorimotor System
Matthias Schultheis · Dominik Straub · Constantin Rothkopf
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Mirror Langevin Monte Carlo: the Case Under Isoperimetry
Qijia Jiang
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Decentralized Learning in Online Queuing Systems
Flore Sentenac · Etienne Boursier · Vianney Perchet
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Heterogeneous Multi-player Multi-armed Bandits: Closing the Gap and Generalization
Chengshuai Shi · Wei Xiong · Cong Shen · Jing Yang
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Detecting Moments and Highlights in Videos via Natural Language Queries
Jie Lei · Tamara L Berg · Mohit Bansal
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Optimal Rates for Nonparametric Density Estimation under Communication Constraints
Jayadev Acharya · Clement Canonne · Aditya Vikram Singh · Himanshu Tyagi
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Challenges and Opportunities in High Dimensional Variational Inference
Akash Kumar Dhaka · Alejandro Catalina · Manushi Welandawe · Michael Andersen · Jonathan Huggins · Aki Vehtari
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Tight High Probability Bounds for Linear Stochastic Approximation with Fixed Stepsize
Alain Durmus · Eric Moulines · Alexey Naumov · Sergey Samsonov · Kevin Scaman · Hoi-To Wai
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Improving Robustness using Generated Data
Sven Gowal · Sylvestre-Alvise Rebuffi · Olivia Wiles · Florian Stimberg · Dan Andrei Calian · Timothy A Mann
[ Slides
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Finding Regions of Heterogeneity in Decision-Making via Expected Conditional Covariance
Justin Lim · Christina Ji · Michael Oberst · Saul Blecker · Leora Horwitz · David Sontag
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
InfoGCL: Information-Aware Graph Contrastive Learning
Dongkuan Xu · Wei Cheng · Dongsheng Luo · Haifeng Chen · Xiang Zhang
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Interpretable agent communication from scratch (with a generic visual processor emerging on the side)
Roberto Dessi · Eugene Kharitonov · Baroni Marco
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
On Memorization in Probabilistic Deep Generative Models
Gerrit van den Burg · Chris Williams
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Information Directed Sampling for Sparse Linear Bandits
Botao Hao · Tor Lattimore · Wei Deng
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
One More Step Towards Reality: Cooperative Bandits with Imperfect Communication
Udari Madhushani · Abhimanyu Dubey · Naomi Leonard · Alex Pentland
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
ReSSL: Relational Self-Supervised Learning with Weak Augmentation
Mingkai Zheng · Shan You · Fei Wang · Chen Qian · Changshui Zhang · Xiaogang Wang · Chang Xu
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Spectral embedding for dynamic networks with stability guarantees
Ian Gallagher · Andrew Jones · Patrick Rubin-Delanchy
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Moser Flow: Divergence-based Generative Modeling on Manifolds
Noam Rozen · Aditya Grover · Maximilian Nickel · Yaron Lipman
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Unique sparse decomposition of low rank matrices
Dian Jin · Xin Bing · Yuqian Zhang
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
On the Role of Optimization in Double Descent: A Least Squares Study
Ilja Kuzborskij · Csaba Szepesvari · Omar Rivasplata · Amal Rannen-Triki · Razvan Pascanu
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Identification and Estimation of Joint Probabilities of Potential Outcomes in Observational Studies with Covariate Information
Ryusei Shingaki · manabu kuroki
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Towards mental time travel: a hierarchical memory for reinforcement learning agents
Andrew Lampinen · Stephanie Chan · Andrea Banino · Felix Hill
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Meta Two-Sample Testing: Learning Kernels for Testing with Limited Data
Feng Liu · Wenkai Xu · Jie Lu · Danica J. Sutherland
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Understanding the Limits of Unsupervised Domain Adaptation via Data Poisoning
Akshay Mehra · Bhavya Kailkhura · Pin-Yu Chen · Jihun Hamm
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Charting and Navigating the Space of Solutions for Recurrent Neural Networks
Elia Turner · Kabir V Dabholkar · Omri Barak
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Adversarial Robustness of Streaming Algorithms through Importance Sampling
Vladimir Braverman · Avinatan Hassidim · Yossi Matias · Mariano Schain · Sandeep Silwal · Samson Zhou
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Multi-Objective Meta Learning
Feiyang YE · Baijiong Lin · Zhixiong Yue · Pengxin Guo · Qiao Xiao · Yu Zhang
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
A variational approximate posterior for the deep Wishart process
Sebastian Ober · Laurence Aitchison
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
On sensitivity of meta-learning to support data
Mayank Agarwal · Mikhail Yurochkin · Yuekai Sun
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Structured Reordering for Modeling Latent Alignments in Sequence Transduction
bailin wang · Mirella Lapata · Ivan Titov
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
A Continuous Mapping For Augmentation Design
Keyu Tian · Chen Lin · Ser Nam Lim · Wanli Ouyang · Puneet Dokania · Philip Torr
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
BNS: Building Network Structures Dynamically for Continual Learning
Qi Qin · Wenpeng Hu · Han Peng · Dongyan Zhao · Bing Liu
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Residual Relaxation for Multi-view Representation Learning
Yifei Wang · Zhengyang Geng · Feng Jiang · Chuming Li · Yisen Wang · Jiansheng Yang · Zhouchen Lin
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Training Neural Networks with Fixed Sparse Masks
Yi-Lin Sung · Varun Nair · Colin Raffel
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Iterative Connecting Probability Estimation for Networks
Yichen Qin · Linhan Yu · Yang Li
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Optimal Algorithms for Stochastic Contextual Preference Bandits
Aadirupa Saha
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Implicit Task-Driven Probability Discrepancy Measure for Unsupervised Domain Adaptation
Mao Li · Kaiqi Jiang · Xinhua Zhang
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Statistical Inference with M-Estimators on Adaptively Collected Data
Kelly Zhang · Lucas Janson · Susan Murphy
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Tensor Normal Training for Deep Learning Models
Yi Ren · Donald Goldfarb
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Meta Learning Backpropagation And Improving It
Louis Kirsch · Jürgen Schmidhuber
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
The Semi-Random Satisfaction of Voting Axioms
Lirong Xia
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Compressive Visual Representations
Kuang-Huei Lee · Anurag Arnab · Sergio Guadarrama · John Canny · Ian Fischer
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Autonomous Reinforcement Learning via Subgoal Curricula
Archit Sharma · Abhishek Gupta · Sergey Levine · Karol Hausman · Chelsea Finn
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Early Convolutions Help Transformers See Better
Tete Xiao · Mannat Singh · Eric Mintun · Trevor Darrell · Piotr Dollar · Ross Girshick
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
S$^3$: Sign-Sparse-Shift Reparametrization for Effective Training of Low-bit Shift Networks
Xinlin Li · Bang Liu · Yaoliang Yu · Wulong Liu · Chunjing XU · Vahid Partovi Nia
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Delayed Gradient Averaging: Tolerate the Communication Latency for Federated Learning
Ligeng Zhu · Hongzhou Lin · Yao Lu · Yujun Lin · Song Han
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
You are caught stealing my winning lottery ticket! Making a lottery ticket claim its ownership
Xuxi Chen · Tianlong Chen · Zhenyu Zhang · Zhangyang Wang
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
CrypTen: Secure Multi-Party Computation Meets Machine Learning
Brian Knott · Shobha Venkataraman · Awni Hannun · Shubho Sengupta · Mark Ibrahim · Laurens van der Maaten
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Private learning implies quantum stability
Yihui Quek · Srinivasan Arunachalam · John A Smolin
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Explaining Hyperparameter Optimization via Partial Dependence Plots
Julia Moosbauer · Julia Herbinger · Giuseppe Casalicchio · Marius Lindauer · Bernd Bischl
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
$\texttt{LeadCache}$: Regret-Optimal Caching in Networks
Debjit Paria · Abhishek Sinha
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Kernel Identification Through Transformers
Fergus Simpson · Ian Davies · Vidhi Lalchand · Alessandro Vullo · Nicolas Durrande · Carl Edward Rasmussen
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
The Pareto Frontier of model selection for general Contextual Bandits
Teodor Vanislavov Marinov · Julian Zimmert
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Offline Model-based Adaptable Policy Learning
Xiong-Hui Chen · Yang Yu · Qingyang Li · Fan-Ming Luo · Zhiwei Qin · Wenjie Shang · Jieping Ye
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
When does Contrastive Learning Preserve Adversarial Robustness from Pretraining to Finetuning?
Lijie Fan · Sijia Liu · Pin-Yu Chen · Gaoyuan Zhang · Chuang Gan
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Learning to Adapt via Latent Domains for Adaptive Semantic Segmentation
Yunan Liu · Shanshan Zhang · Yang Li · Jian Yang
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Learning One Representation to Optimize All Rewards
Ahmed Touati · Yann Ollivier
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Center Smoothing: Certified Robustness for Networks with Structured Outputs
Aounon Kumar · Tom Goldstein
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Fast Approximation of the Sliced-Wasserstein Distance Using Concentration of Random Projections
Kimia Nadjahi · Alain Durmus · Pierre E Jacob · Roland Badeau · Umut Simsekli
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Parallel Bayesian Optimization of Multiple Noisy Objectives with Expected Hypervolume Improvement
Samuel Daulton · Maximilian Balandat · Eytan Bakshy
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Revisiting the Calibration of Modern Neural Networks
Matthias Minderer · Josip Djolonga · Rob Romijnders · Frances Hubis · Xiaohua Zhai · Neil Houlsby · Dustin Tran · Mario Lucic
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Adversarial Robustness with Non-uniform Perturbations
Ecenaz Erdemir · Jeffrey Bickford · Luca Melis · Sergul Aydore
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Implicit Semantic Response Alignment for Partial Domain Adaptation
Wenxiao Xiao · Zhengming Ding · Hongfu Liu
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Large-Scale Learning with Fourier Features and Tensor Decompositions
Frederiek Wesel · Kim Batselier
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Cardinality-Regularized Hawkes-Granger Model
Tsuyoshi Ide · Georgios Kollias · Dzung Phan · Naoki Abe
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Noether Networks: meta-learning useful conserved quantities
Ferran Alet · Dylan Doblar · Allan Zhou · Josh Tenenbaum · Kenji Kawaguchi · Chelsea Finn
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Random Noise Defense Against Query-Based Black-Box Attacks
Zeyu Qin · Yanbo Fan · Hongyuan Zha · Baoyuan Wu
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Policy Finetuning: Bridging Sample-Efficient Offline and Online Reinforcement Learning
Tengyang Xie · Nan Jiang · Huan Wang · Caiming Xiong · Yu Bai
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
From global to local MDI variable importances for random forests and when they are Shapley values
Antonio Sutera · Gilles Louppe · Van Anh Huynh-Thu · Louis Wehenkel · Pierre Geurts
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Rebooting ACGAN: Auxiliary Classifier GANs with Stable Training
Minguk Kang · Woohyeon Shim · Minsu Cho · Jaesik Park
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Distributional Gradient Matching for Learning Uncertain Neural Dynamics Models
Lenart Treven · Philippe Wenk · Florian Dorfler · Andreas Krause
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Data Augmentation Can Improve Robustness
Sylvestre-Alvise Rebuffi · Sven Gowal · Dan Andrei Calian · Florian Stimberg · Olivia Wiles · Timothy A Mann
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Reducing Information Bottleneck for Weakly Supervised Semantic Segmentation
Jungbeom Lee · Jooyoung Choi · Jisoo Mok · Sungroh Yoon
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Attention Approximates Sparse Distributed Memory
Trenton Bricken · Cengiz Pehlevan
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
A first-order primal-dual method with adaptivity to local smoothness
Maria-Luiza Vladarean · Yura Malitsky · Volkan Cevher
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Online Matching in Sparse Random Graphs: Non-Asymptotic Performances of Greedy Algorithm
Nathan Noiry · Vianney Perchet · Flore Sentenac
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Learning Debiased Representation via Disentangled Feature Augmentation
Jungsoo Lee · Eungyeup Kim · Juyoung Lee · Jihyeon Lee · Jaegul Choo
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Analytical Study of Momentum-Based Acceleration Methods in Paradigmatic High-Dimensional Non-Convex Problems
Stefano Sarao Mannelli · Pierfrancesco Urbani
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Neural Population Geometry Reveals the Role of Stochasticity in Robust Perception
Joel Dapello · Jenelle Feather · Hang Le · Tiago Marques · David Cox · Josh McDermott · James J DiCarlo · Sueyeon Chung
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
AC/DC: Alternating Compressed/DeCompressed Training of Deep Neural Networks
Alexandra Peste · Eugenia Iofinova · Adrian Vladu · Dan Alistarh
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
NeRS: Neural Reflectance Surfaces for Sparse-view 3D Reconstruction in the Wild
Jason Zhang · Gengshan Yang · Shubham Tulsiani · Deva Ramanan
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Nonsmooth Implicit Differentiation for Machine-Learning and Optimization
Jérôme Bolte · Tam Le · Edouard Pauwels · Tony Silveti-Falls
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Numerical influence of ReLU’(0) on backpropagation
David Bertoin · Jérôme Bolte · Sébastien Gerchinovitz · Edouard Pauwels
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Iterative Amortized Policy Optimization
Joseph Marino · Alexandre Piche · Alessandro Davide Ialongo · Yisong Yue
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Is Bang-Bang Control All You Need? Solving Continuous Control with Bernoulli Policies
Tim Seyde · Igor Gilitschenski · Wilko Schwarting · Bartolomeo Stellato · Martin Riedmiller · Markus Wulfmeier · Daniela Rus
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Confident Anchor-Induced Multi-Source Free Domain Adaptation
Jiahua Dong · Zhen Fang · Anjin Liu · Gan Sun · Tongliang Liu
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers
Enze Xie · Wenhai Wang · Zhiding Yu · Anima Anandkumar · Jose M. Alvarez · Ping Luo
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
On Margin-Based Cluster Recovery with Oracle Queries
Marco Bressan · Nicolò Cesa-Bianchi · Silvio Lattanzi · Andrea Paudice
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
A novel notion of barycenter for probability distributions based on optimal weak mass transport
Elsa Cazelles · Felipe Tobar · Joaquin Fontbona
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Learning Treatment Effects in Panels with General Intervention Patterns
Vivek Farias · Andrew Li · Tianyi Peng
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Probing Inter-modality: Visual Parsing with Self-Attention for Vision-and-Language Pre-training
Hongwei Xue · Yupan Huang · Bei Liu · Houwen Peng · Jianlong Fu · Houqiang Li · Jiebo Luo
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Scaling Gaussian Processes with Derivative Information Using Variational Inference
Misha Padidar · Xinran Zhu · Leo Huang · Jacob Gardner · David Bindel
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Voxel-based 3D Detection and Reconstruction of Multiple Objects from a Single Image
Feng Liu · Xiaoming Liu
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Spot the Difference: Detection of Topological Changes via Geometric Alignment
Per Steffen Czolbe · Aasa Feragen · Oswin Krause
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Relative stability toward diffeomorphisms indicates performance in deep nets
Leonardo Petrini · Alessandro Favero · Mario Geiger · Matthieu Wyart
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Adversarial Robustness without Adversarial Training: A Teacher-Guided Curriculum Learning Approach
Anindya Sarkar · Anirban Sarkar · Sowrya Gali · Vineeth N Balasubramanian
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Cortico-cerebellar networks as decoupling neural interfaces
Joseph Pemberton · Ellen Boven · Richard Apps · Rui Ponte Costa
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Probabilistic Tensor Decomposition of Neural Population Spiking Activity
Hugo Soulat · Sepiedeh Keshavarzi · Troy Margrie · Maneesh Sahani
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Weisfeiler and Lehman Go Cellular: CW Networks
Cristian Bodnar · Fabrizio Frasca · Nina Otter · Yuguang Wang · Pietro Liò · Guido Montufar · Michael Bronstein
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Unifying Gradient Estimators for Meta-Reinforcement Learning via Off-Policy Evaluation
Yunhao Tang · Tadashi Kozuno · Mark Rowland · Remi Munos · Michal Valko
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
An Online Method for A Class of Distributionally Robust Optimization with Non-convex Objectives
Qi Qi · Zhishuai Guo · Yi Xu · Rong Jin · Tianbao Yang
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Test-Time Personalization with a Transformer for Human Pose Estimation
Yizhuo Li · Miao Hao · Zonglin Di · Nitesh Bharadwaj Gundavarapu · Xiaolong Wang
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Learning Generative Vision Transformer with Energy-Based Latent Space for Saliency Prediction
Jing Zhang · Jianwen Xie · Nick Barnes · Ping Li
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Post-Contextual-Bandit Inference
Aurelien Bibaut · Maria Dimakopoulou · Nathan Kallus · Antoine Chambaz · Mark van der Laan
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Estimating Multi-cause Treatment Effects via Single-cause Perturbation
Zhaozhi Qian · Alicia Curth · Mihaela van der Schaar
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Learning MDPs from Features: Predict-Then-Optimize for Sequential Decision Making by Reinforcement Learning
Kai Wang · Sanket Shah · Haipeng Chen · Andrew Perrault · Finale Doshi-Velez · Milind Tambe
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Approximating the Permanent with Deep Rejection Sampling
Juha Harviainen · Antti Röyskö · Mikko Koivisto
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Test-Time Classifier Adjustment Module for Model-Agnostic Domain Generalization
Yusuke Iwasawa · Yutaka Matsuo
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Environment Generation for Zero-Shot Compositional Reinforcement Learning
Izzeddin Gur · Natasha Jaques · Yingjie Miao · Jongwook Choi · Manoj Tiwari · Honglak Lee · Aleksandra Faust
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Spatio-Temporal Variational Gaussian Processes
Oliver Hamelijnck · William Wilkinson · Niki Loppi · Arno Solin · Theodoros Damoulas
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Equilibrium and non-Equilibrium regimes in the learning of Restricted Boltzmann Machines
Aurélien Decelle · Cyril Furtlehner · Beatriz Seoane
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Do Neural Optimal Transport Solvers Work? A Continuous Wasserstein-2 Benchmark
Alexander Korotin · Lingxiao Li · Aude Genevay · Justin Solomon · Alexander Filippov · Evgeny Burnaev
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Identifying and Benchmarking Natural Out-of-Context Prediction Problems
David Madras · Richard Zemel
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Predify: Augmenting deep neural networks with brain-inspired predictive coding dynamics
Bhavin Choksi · Milad Mozafari · Callum Biggs O'May · B. ADOR · Andrea Alamia · Rufin VanRullen
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Neural Ensemble Search for Uncertainty Estimation and Dataset Shift
Sheheryar Zaidi · Arber Zela · Thomas Elsken · Chris C Holmes · Frank Hutter · Yee Teh
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
On the Universality of Graph Neural Networks on Large Random Graphs
Nicolas Keriven · Alberto Bietti · Samuel Vaiter
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Scalable Thompson Sampling using Sparse Gaussian Process Models
Sattar Vakili · Henry Moss · Artem Artemev · Vincent Dutordoir · Victor Picheny
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Statistical Regeneration Guarantees of the Wasserstein Autoencoder with Latent Space Consistency
Anish Chakrabarty · Swagatam Das
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Targeted Neural Dynamical Modeling
Cole Hurwitz · Akash Srivastava · Kai Xu · Justin Jude · Matthew Perich · Lee Miller · Matthias Hennig
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Near-Optimal Lower Bounds For Convex Optimization For All Orders of Smoothness
Ankit Garg · Robin Kothari · Praneeth Netrapalli · Suhail Sherif
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Ranking Policy Decisions
Hadrien Pouget · Hana Chockler · Youcheng Sun · Daniel Kroening
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Attention Bottlenecks for Multimodal Fusion
Arsha Nagrani · Shan Yang · Anurag Arnab · Aren Jansen · Cordelia Schmid · Chen Sun
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Partial success in closing the gap between human and machine vision
Robert Geirhos · Kantharaju Narayanappa · Benjamin Mitzkus · Tizian Thieringer · Matthias Bethge · Felix A. Wichmann · Wieland Brendel
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Multi-Armed Bandits with Bounded Arm-Memory: Near-Optimal Guarantees for Best-Arm Identification and Regret Minimization
Arnab Maiti · Vishakha Patil · Arindam Khan
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Implicit SVD for Graph Representation Learning
Sami Abu-El-Haija · Hesham Mostafa · Marcel Nassar · Valentino Crespi · Greg Ver Steeg · Aram Galstyan
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Optimizing Reusable Knowledge for Continual Learning via Metalearning
Julio Hurtado · Alain Raymond · Alvaro Soto
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Calibration and Consistency of Adversarial Surrogate Losses
Pranjal Awasthi · Natalie Frank · Anqi Mao · Mehryar Mohri · Yutao Zhong
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Time Discretization-Invariant Safe Action Repetition for Policy Gradient Methods
Seohong Park · Jaekyeom Kim · Gunhee Kim
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Self-Interpretable Model with Transformation Equivariant Interpretation
Yipei Wang · Xiaoqian Wang
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Factored Policy Gradients: Leveraging Structure for Efficient Learning in MOMDPs
Thomas Spooner · Nelson Vadori · Sumitra Ganesh
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Self-Supervised Learning with Data Augmentations Provably Isolates Content from Style
Julius von Kügelgen · Yash Sharma · Luigi Gresele · Wieland Brendel · Bernhard Schölkopf · Michel Besserve · Francesco Locatello
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Black Box Probabilistic Numerics
Onur Teymur · Christopher Foley · Philip Breen · Toni Karvonen · Chris Oates
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Instance-dependent Label-noise Learning under a Structural Causal Model
Yu Yao · Tongliang Liu · Mingming Gong · Bo Han · Gang Niu · Kun Zhang
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Arbitrary Conditional Distributions with Energy
Ryan Strauss · Junier Oliva
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Conditioning Sparse Variational Gaussian Processes for Online Decision-making
Wesley Maddox · Samuel Stanton · Andrew Wilson
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
PARP: Prune, Adjust and Re-Prune for Self-Supervised Speech Recognition
Cheng-I Jeff Lai · Yang Zhang · Alexander Liu · Shiyu Chang · Yi-Lun Liao · Yung-Sung Chuang · Kaizhi Qian · Sameer Khurana · David Cox · Jim Glass
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Dynamical Wasserstein Barycenters for Time-series Modeling
Kevin Cheng · Shuchin Aeron · Michael Hughes · Eric L Miller
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Submodular + Concave
Siddharth Mitra · Moran Feldman · Amin Karbasi
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Towards Enabling Meta-Learning from Target Models
Su Lu · Han-Jia Ye · Le Gan · De-Chuan Zhan
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Efficient Bayesian network structure learning via local Markov boundary search
Ming Gao · Bryon Aragam
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Cockpit: A Practical Debugging Tool for the Training of Deep Neural Networks
Frank Schneider · Felix Dangel · Philipp Hennig
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Scalable Intervention Target Estimation in Linear Models
Burak Varici · Karthikeyan Shanmugam · Prasanna Sattigeri · Ali Tajer
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Revisiting Deep Learning Models for Tabular Data
Yury Gorishniy · Ivan Rubachev · Valentin Khrulkov · Artem Babenko
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Bias and variance of the Bayesian-mean decoder
Arthur Prat-Carrabin · Michael Woodford
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Process for Adapting Language Models to Society (PALMS) with Values-Targeted Datasets
Irene Solaiman · Christy Dennison
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Partition and Code: learning how to compress graphs
Giorgos Bouritsas · Andreas Loukas · Nikolaos Karalias · Michael Bronstein
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Understanding Adaptive, Multiscale Temporal Integration In Deep Speech Recognition Systems
Menoua Keshishian · Samuel Norman-Haignere · Nima Mesgarani
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Monte Carlo Tree Search With Iteratively Refining State Abstractions
Samuel Sokota · Caleb Y Ho · Zaheen Ahmad · J. Zico Kolter
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Regret Bounds for Gaussian-Process Optimization in Large Domains
Manuel Wuethrich · Bernhard Schölkopf · Andreas Krause
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Dynamic Bottleneck for Robust Self-Supervised Exploration
Chenjia Bai · Lingxiao Wang · Lei Han · Animesh Garg · Jianye Hao · Peng Liu · Zhaoran Wang
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Optimal Policies Tend To Seek Power
Alex Turner · Logan Smith · Rohin Shah · Andrew Critch · Prasad Tadepalli
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Object DGCNN: 3D Object Detection using Dynamic Graphs
Yue Wang · Justin Solomon
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Analysis of one-hidden-layer neural networks via the resolvent method
Vanessa Piccolo · Dominik Schröder
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Automatic Unsupervised Outlier Model Selection
Yue Zhao · Ryan Rossi · Leman Akoglu
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Bandit Phase Retrieval
Tor Lattimore · Botao Hao
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
SIMONe: View-Invariant, Temporally-Abstracted Object Representations via Unsupervised Video Decomposition
Rishabh Kabra · Daniel Zoran · Goker Erdogan · Loic Matthey · Antonia Creswell · Matt Botvinick · Alexander Lerchner · Chris Burgess
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Learning Stochastic Majority Votes by Minimizing a PAC-Bayes Generalization Bound
Valentina Zantedeschi · Paul Viallard · Emilie Morvant · Rémi Emonet · Amaury Habrard · Pascal Germain · Benjamin Guedj
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Misspecified Gaussian Process Bandit Optimization
Ilija Bogunovic · Andreas Krause
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Passive attention in artificial neural networks predicts human visual selectivity
Thomas Langlois · Haicheng Zhao · Erin Grant · Ishita Dasgupta · Tom Griffiths · Nori Jacoby
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Statistically and Computationally Efficient Linear Meta-representation Learning
Kiran Thekumparampil · Prateek Jain · Praneeth Netrapalli · Sewoong Oh
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
H-NeRF: Neural Radiance Fields for Rendering and Temporal Reconstruction of Humans in Motion
Hongyi Xu · Thiemo Alldieck · Cristian Sminchisescu
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
The decomposition of the higher-order homology embedding constructed from the $k$-Laplacian
Yu-Chia Chen · Marina Meila
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Training for the Future: A Simple Gradient Interpolation Loss to Generalize Along Time
Anshul Nasery · Soumyadeep Thakur · Vihari Piratla · Abir De · Sunita Sarawagi
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Dynamics of Stochastic Momentum Methods on Large-scale, Quadratic Models
Courtney Paquette · Elliot Paquette
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Tighter Expected Generalization Error Bounds via Wasserstein Distance
Borja Rodríguez Gálvez · German Bassi · Ragnar Thobaben · Mikael Skoglund
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Bandit Quickest Changepoint Detection
Aditya Gopalan · Braghadeesh Lakshminarayanan · Venkatesh Saligrama
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Can we have it all? On the Trade-off between Spatial and Adversarial Robustness of Neural Networks
Sandesh Kamath · Amit Deshpande · Subrahmanyam Kambhampati Venkata · Vineeth N Balasubramanian
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Relational Self-Attention: What's Missing in Attention for Video Understanding
Manjin Kim · Heeseung Kwon · CHUNYU WANG · Suha Kwak · Minsu Cho
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Generalization Bounds For Meta-Learning: An Information-Theoretic Analysis
Qi CHEN · Changjian Shui · Mario Marchand
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Semi-Supervised Semantic Segmentation via Adaptive Equalization Learning
Hanzhe Hu · Fangyun Wei · Han Hu · Qiwei Ye · Jinshi Cui · Liwei Wang
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
SyncTwin: Treatment Effect Estimation with Longitudinal Outcomes
Zhaozhi Qian · Yao Zhang · Ioana Bica · Angela Wood · Mihaela van der Schaar
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Rethinking Space-Time Networks with Improved Memory Coverage for Efficient Video Object Segmentation
Ho Kei Cheng · Yu-Wing Tai · Chi-Keung Tang
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Active Offline Policy Selection
Ksenia Konyushova · Yutian Chen · Thomas Paine · Caglar Gulcehre · Cosmin Paduraru · Daniel Mankowitz · Misha Denil · Nando de Freitas
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Contrast and Mix: Temporal Contrastive Video Domain Adaptation with Background Mixing
Aadarsh Sahoo · Rutav Shah · Rameswar Panda · Kate Saenko · Abir Das
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Human-Adversarial Visual Question Answering
Sasha Sheng · Amanpreet Singh · Vedanuj Goswami · Jose Magana · Tristan Thrush · Wojciech Galuba · Devi Parikh · Douwe Kiela
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Adversarial Robustness with Semi-Infinite Constrained Learning
Alexander Robey · Luiz Chamon · George J. Pappas · Hamed Hassani · Alejandro Ribeiro
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Volume Rendering of Neural Implicit Surfaces
Lior Yariv · Jiatao Gu · Yoni Kasten · Yaron Lipman
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Meta-Learning the Search Distribution of Black-Box Random Search Based Adversarial Attacks
Maksym Yatsura · Jan Metzen · Matthias Hein
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Fast Certified Robust Training with Short Warmup
Zhouxing Shi · Yihan Wang · Huan Zhang · Jinfeng Yi · Cho-Jui Hsieh
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Sparse Deep Learning: A New Framework Immune to Local Traps and Miscalibration
Yan Sun · Wenjun Xiong · Faming Liang
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Overinterpretation reveals image classification model pathologies
Brandon Carter · Siddhartha Jain · Jonas Mueller · David Gifford
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
A Little Robustness Goes a Long Way: Leveraging Robust Features for Targeted Transfer Attacks
Jacob Springer · Melanie Mitchell · Garrett Kenyon
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Adaptive Risk Minimization: Learning to Adapt to Domain Shift
Marvin Zhang · Henrik Marklund · Nikita Dhawan · Abhishek Gupta · Sergey Levine · Chelsea Finn
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Directed Spectrum Measures Improve Latent Network Models Of Neural Populations
Neil Gallagher · Kafui Dzirasa · David Carlson
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
DOBF: A Deobfuscation Pre-Training Objective for Programming Languages
Marie-Anne Lachaux · Baptiste Roziere · Marc Szafraniec · Guillaume Lample
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Neural Circuit Synthesis from Specification Patterns
Frederik Schmitt · Christopher Hahn · Markus Rabe · Bernd Finkbeiner
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Can Information Flows Suggest Targets for Interventions in Neural Circuits?
Praveen Venkatesh · Sanghamitra Dutta · Neil Mehta · Pulkit Grover
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Optimal Gradient-based Algorithms for Non-concave Bandit Optimization
Baihe Huang · Kaixuan Huang · Sham Kakade · Jason Lee · Qi Lei · Runzhe Wang · Jiaqi Yang
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Convolutional Normalization: Improving Deep Convolutional Network Robustness and Training
Sheng Liu · Xiao Li · Simon Zhai · Chong You · Zhihui Zhu · Carlos Fernandez-Granda · Qing Qu
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Computer-Aided Design as Language
Yaroslav Ganin · Sergey Bartunov · Yujia Li · Ethan Keller · Stefano Saliceti
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Dense Unsupervised Learning for Video Segmentation
Nikita Araslanov · Simone Schaub-Meyer · Stefan Roth
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Cooperative Stochastic Bandits with Asynchronous Agents and Constrained Feedback
Lin Yang · Yu-Zhen Janice Chen · Stephen Pasteris · Mohammad Hajiesmaili · John C. S. Lui · Don Towsley
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
MAUVE: Measuring the Gap Between Neural Text and Human Text using Divergence Frontiers
Krishna Pillutla · Swabha Swayamdipta · Rowan Zellers · John Thickstun · Sean Welleck · Yejin Choi · Zaid Harchaoui
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Piper: Multidimensional Planner for DNN Parallelization
Jakub Tarnawski · Deepak Narayanan · Amar Phanishayee
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Neural Hybrid Automata: Learning Dynamics With Multiple Modes and Stochastic Transitions
Michael Poli · Stefano Massaroli · Luca Scimeca · Sanghyuk Chun · Seong Joon Oh · Atsushi Yamashita · Hajime Asama · Jinkyoo Park · Animesh Garg
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Dueling Bandits with Team Comparisons
Lee Cohen · Ulrike Schmidt-Kraepelin · Yishay Mansour
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
SketchGen: Generating Constrained CAD Sketches
Wamiq Para · Shariq Bhat · Paul Guerrero · Tom Kelly · Niloy Mitra · Leonidas Guibas · Peter Wonka
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
SmoothMix: Training Confidence-calibrated Smoothed Classifiers for Certified Robustness
Jongheon Jeong · Sejun Park · Minkyu Kim · Heung-Chang Lee · Do-Guk Kim · Jinwoo Shin
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
An Efficient Pessimistic-Optimistic Algorithm for Stochastic Linear Bandits with General Constraints
Xin Liu · Bin Li · Pengyi Shi · Lei Ying
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
TRS: Transferability Reduced Ensemble via Promoting Gradient Diversity and Model Smoothness
Zhuolin Yang · Linyi Li · Xiaojun Xu · Shiliang Zuo · Qian Chen · Pan Zhou · Benjamin Rubinstein · Ce Zhang · Bo Li
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Searching the Search Space of Vision Transformer
Minghao Chen · Kan Wu · Bolin Ni · Houwen Peng · Bei Liu · Jianlong Fu · Hongyang Chao · Haibin Ling
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
On the Bias-Variance-Cost Tradeoff of Stochastic Optimization
Yifan Hu · Xin Chen · Niao He
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Structural Credit Assignment in Neural Networks using Reinforcement Learning
Dhawal Gupta · Gabor Mihucz · Matthew Schlegel · James Kostas · Philip Thomas · Martha White
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
BayesIMP: Uncertainty Quantification for Causal Data Fusion
Siu Lun Chau · Jean-Francois Ton · Javier González · Yee Teh · Dino Sejdinovic
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
R-Drop: Regularized Dropout for Neural Networks
xiaobo liang · Lijun Wu · Juntao Li · Yue Wang · Qi Meng · Tao Qin · Wei Chen · Min Zhang · Tie-Yan Liu
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Collaborative Causal Discovery with Atomic Interventions
Raghavendra Addanki · Shiva Kasiviswanathan
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
The Unbalanced Gromov Wasserstein Distance: Conic Formulation and Relaxation
Thibault Sejourne · Francois-Xavier Vialard · Gabriel Peyré
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Matching a Desired Causal State via Shift Interventions
Jiaqi Zhang · Chandler Squires · Caroline Uhler
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Towards Instance-Optimal Offline Reinforcement Learning with Pessimism
Ming Yin · Yu-Xiang Wang
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
The balancing principle for parameter choice in distance-regularized domain adaptation
Werner Zellinger · Natalia Shepeleva · Marius-Constantin Dinu · Hamid Eghbal-zadeh · Hoan Duc Nguyen · Bernhard Nessler · Sergei Pereverzyev · Bernhard A. Moser
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Leveraging the Inductive Bias of Large Language Models for Abstract Textual Reasoning
Christopher Rytting · David Wingate
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Large-Scale Wasserstein Gradient Flows
Petr Mokrov · Alexander Korotin · Lingxiao Li · Aude Genevay · Justin Solomon · Evgeny Burnaev
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Efficient First-Order Contextual Bandits: Prediction, Allocation, and Triangular Discrimination
Dylan Foster · Akshay Krishnamurthy
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Bubblewrap: Online tiling and real-time flow prediction on neural manifolds
Anne Draelos · Pranjal Gupta · Na Young Jun · Chaichontat Sriworarat · John Pearson
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Online and Offline Reinforcement Learning by Planning with a Learned Model
Julian Schrittwieser · Thomas Hubert · Amol Mandhane · Mohammadamin Barekatain · Ioannis Antonoglou · David Silver
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Online Learning and Control of Complex Dynamical Systems from Sensory Input
Oumayma Bounou · Jean Ponce · Justin Carpentier
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Behavior From the Void: Unsupervised Active Pre-Training
Hao Liu · Pieter Abbeel
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Identifiable Generative models for Missing Not at Random Data Imputation
Chao Ma · Cheng Zhang
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Neural Program Generation Modulo Static Analysis
Rohan Mukherjee · Yeming Wen · Dipak Chaudhari · Thomas Reps · Swarat Chaudhuri · Christopher Jermaine
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Generalized Jensen-Shannon Divergence Loss for Learning with Noisy Labels
Erik Englesson · Hossein Azizpour
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Robustness between the worst and average case
Leslie Rice · Anna Bair · Huan Zhang · J. Zico Kolter
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
How Does it Sound?
Kun Su · Xiulong Liu · Eli Shlizerman
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
A Critical Look at the Consistency of Causal Estimation with Deep Latent Variable Models
Severi Rissanen · Pekka Marttinen
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Comprehensive Knowledge Distillation with Causal Intervention
Xiang Deng · Zhongfei Zhang
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Higher Order Kernel Mean Embeddings to Capture Filtrations of Stochastic Processes
Cristopher Salvi · Maud Lemercier · Chong Liu · Blanka Horvath · Theodoros Damoulas · Terry Lyons
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
MetaAvatar: Learning Animatable Clothed Human Models from Few Depth Images
Shaofei Wang · Marko Mihajlovic · Qianli Ma · Andreas Geiger · Siyu Tang
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Fair Exploration via Axiomatic Bargaining
Jackie Baek · Vivek Farias
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Non-Gaussian Gaussian Processes for Few-Shot Regression
Marcin Sendera · Jacek Tabor · Aleksandra Nowak · Andrzej Bedychaj · Massimiliano Patacchiola · Tomasz Trzcinski · Przemysław Spurek · Maciej Zieba
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Efficient methods for Gaussian Markov random fields under sparse linear constraints
David Bolin · Jonas Wallin
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Encoding Robustness to Image Style via Adversarial Feature Perturbations
Manli Shu · Zuxuan Wu · Micah Goldblum · Tom Goldstein
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Why Generalization in RL is Difficult: Epistemic POMDPs and Implicit Partial Observability
Dibya Ghosh · Jad Rahme · Aviral Kumar · Amy Zhang · Ryan Adams · Sergey Levine
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Accurate Point Cloud Registration with Robust Optimal Transport
Zhengyang Shen · Jean Feydy · Peirong Liu · Ariel H Curiale · Ruben San Jose Estepar · Raul San Jose Estepar · Marc Niethammer
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Adversarially Robust Change Point Detection
Mengchu Li · Yi Yu
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Recovering Latent Causal Factor for Generalization to Distributional Shifts
Xinwei Sun · Botong Wu · Xiangyu Zheng · Chang Liu · Wei Chen · Tao Qin · Tie-Yan Liu
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Towards Optimal Strategies for Training Self-Driving Perception Models in Simulation
David Acuna · Jonah Philion · Sanja Fidler
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Biological learning in key-value memory networks
Danil Tyulmankov · Ching Fang · Annapurna Vadaparty · Guangyu Robert Yang
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
On Episodes, Prototypical Networks, and Few-Shot Learning
Steinar Laenen · Luca Bertinetto
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Learning Robust Hierarchical Patterns of Human Brain across Many fMRI Studies
Dushyant Sahoo · Christos Davatzikos
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
COCO-LM: Correcting and Contrasting Text Sequences for Language Model Pretraining
Yu Meng · Chenyan Xiong · Payal Bajaj · saurabh tiwary · Paul Bennett · Jiawei Han · XIA SONG
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
On the Convergence Theory of Debiased Model-Agnostic Meta-Reinforcement Learning
Alireza Fallah · Kristian Georgiev · Aryan Mokhtari · Asuman Ozdaglar
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
On Inductive Biases for Heterogeneous Treatment Effect Estimation
Alicia Curth · Mihaela van der Schaar
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Snowflake: Scaling GNNs to high-dimensional continuous control via parameter freezing
Charles Blake · Vitaly Kurin · Maximilian Igl · Shimon Whiteson
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Scalable Diverse Model Selection for Accessible Transfer Learning
Daniel Bolya · Rohit Mittapalli · Judy Hoffman
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Distributed Zero-Order Optimization under Adversarial Noise
Arya Akhavan · Massimiliano Pontil · Alexandre Tsybakov
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Recursive Causal Structure Learning in the Presence of Latent Variables and Selection Bias
Sina Akbari · Ehsan Mokhtarian · AmirEmad Ghassami · Negar Kiyavash
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Causal-BALD: Deep Bayesian Active Learning of Outcomes to Infer Treatment-Effects from Observational Data
Andrew Jesson · Panagiotis Tigas · Joost van Amersfoort · Andreas Kirsch · Uri Shalit · Yarin Gal
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Learning Models for Actionable Recourse
Alexis Ross · Himabindu Lakkaraju · Osbert Bastani
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
VidLanKD: Improving Language Understanding via Video-Distilled Knowledge Transfer
Zineng Tang · Jaemin Cho · Hao Tan · Mohit Bansal
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Reformulating Zero-shot Action Recognition for Multi-label Actions
Alec Kerrigan · Kevin Duarte · Yogesh Rawat · Mubarak Shah
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Adversarially Robust 3D Point Cloud Recognition Using Self-Supervisions
Jiachen Sun · Yulong Cao · Christopher B Choy · Zhiding Yu · Anima Anandkumar · Zhuoqing Morley Mao · Chaowei Xiao
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
From Optimality to Robustness: Adaptive Re-Sampling Strategies in Stochastic Bandits
Dorian Baudry · Patrick Saux · Odalric-Ambrym Maillard
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Generalizable Imitation Learning from Observation via Inferring Goal Proximity
Youngwoon Lee · Andrew Szot · Shao-Hua Sun · Joseph Lim
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Design of Experiments for Stochastic Contextual Linear Bandits
Andrea Zanette · Kefan Dong · Jonathan N Lee · Emma Brunskill
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Discrete-Valued Neural Communication
Dianbo Liu · Alex Lamb · Kenji Kawaguchi · Anirudh Goyal · Chen Sun · Michael Mozer · Yoshua Bengio
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Non-local Latent Relation Distillation for Self-Adaptive 3D Human Pose Estimation
Jogendra Nath Kundu · Siddharth Seth · Anirudh Jamkhandi · Pradyumna YM · Varun Jampani · Anirban Chakraborty · Venkatesh Babu R
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Marginalised Gaussian Processes with Nested Sampling
Fergus Simpson · Vidhi Lalchand · Carl Edward Rasmussen
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
The Inductive Bias of Quantum Kernels
Jonas Kübler · Simon Buchholz · Bernhard Schölkopf
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
On Success and Simplicity: A Second Look at Transferable Targeted Attacks
Zhengyu Zhao · Zhuoran Liu · Martha Larson
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Qimera: Data-free Quantization with Synthetic Boundary Supporting Samples
Kanghyun Choi · Deokki Hong · Noseong Park · Youngsok Kim · Jinho Lee
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Unsupervised Object-Based Transition Models For 3D Partially Observable Environments
Antonia Creswell · Rishabh Kabra · Chris Burgess · Murray Shanahan
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
MEST: Accurate and Fast Memory-Economic Sparse Training Framework on the Edge
Geng Yuan · Xiaolong Ma · Wei Niu · Zhengang Li · Zhenglun Kong · Ning Liu · Yifan Gong · Zheng Zhan · Chaoyang He · Qing Jin · Siyue Wang · Minghai Qin · Bin Ren · Yanzhi Wang · Sijia Liu · Xue Lin
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
One Explanation is Not Enough: Structured Attention Graphs for Image Classification
Vivswan Shitole · Fuxin Li · Minsuk Kahng · Prasad Tadepalli · Alan Fern
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
On UMAP's True Loss Function
Sebastian Damrich · Fred Hamprecht
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Correlated Stochastic Block Models: Exact Graph Matching with Applications to Recovering Communities
Miklos Racz · Anirudh Sridhar
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Dangers of Bayesian Model Averaging under Covariate Shift
Pavel Izmailov · Patrick Nicholson · Sanae Lotfi · Andrew Wilson
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Learning the optimal Tikhonov regularizer for inverse problems
Giovanni Alberti · Ernesto De Vito · Matti Lassas · Luca Ratti · Matteo Santacesaria
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Sequential Causal Imitation Learning with Unobserved Confounders
Daniel Kumor · Junzhe Zhang · Elias Bareinboim
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Causal Inference for Event Pairs in Multivariate Point Processes
Tian Gao · Dharmashankar Subramanian · Debarun Bhattacharjya · Xiao Shou · Nicholas Mattei · Kristin P Bennett
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Medical Dead-ends and Learning to Identify High-Risk States and Treatments
Mehdi Fatemi · Taylor Killian · Jayakumar Subramanian · Marzyeh Ghassemi
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
CARMS: Categorical-Antithetic-REINFORCE Multi-Sample Gradient Estimator
Alek Dimitriev · Mingyuan Zhou
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Stochastic Solutions for Linear Inverse Problems using the Prior Implicit in a Denoiser
Zahra Kadkhodaie · Eero Simoncelli
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Grounding Spatio-Temporal Language with Transformers
Tristan Karch · Laetitia Teodorescu · Katja Hofmann · Clément Moulin-Frier · Pierre-Yves Oudeyer
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
On Component Interactions in Two-Stage Recommender Systems
Jiri Hron · Karl Krauth · Michael Jordan · Niki Kilbertus
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Mini-Batch Consistent Slot Set Encoder for Scalable Set Encoding
Bruno Andreis · Jeffrey Willette · Juho Lee · Sung Ju Hwang
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Beyond Tikhonov: faster learning with self-concordant losses, via iterative regularization
Gaspard Beugnot · Julien Mairal · Alessandro Rudi
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Reliable Causal Discovery with Improved Exact Search and Weaker Assumptions
Ignavier Ng · Yujia Zheng · Jiji Zhang · Kun Zhang
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
SILG: The Multi-domain Symbolic Interactive Language Grounding Benchmark
Victor Zhong · Austin W. Hanjie · Sida Wang · Karthik Narasimhan · Luke Zettlemoyer
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Fast Algorithms for $L_\infty$-constrained S-rectangular Robust MDPs
Bahram Behzadian · Marek Petrik · Chin Pang Ho
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Class-agnostic Reconstruction of Dynamic Objects from Videos
Zhongzheng Ren · Xiaoming Zhao · Alex Schwing
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
A universal probabilistic spike count model reveals ongoing modulation of neural variability
David Liu · Mate Lengyel
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Unsupervised Part Discovery from Contrastive Reconstruction
Subhabrata Choudhury · Iro Laina · Christian Rupprecht · Andrea Vedaldi
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
A sampling-based circuit for optimal decision making
Camille Rullán Buxó · Cristina Savin
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Adversarial Attacks on Graph Classifiers via Bayesian Optimisation
Xingchen Wan · Henry Kenlay · Robin Ru · Arno Blaas · Michael A Osborne · Xiaowen Dong
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Bayesian Optimization with High-Dimensional Outputs
Wesley Maddox · Maximilian Balandat · Andrew Wilson · Eytan Bakshy
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
ReAct: Out-of-distribution Detection With Rectified Activations
Yiyou Sun · Chuan Guo · Yixuan Li
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Domain Invariant Representation Learning with Domain Density Transformations
A. Tuan Nguyen · Toan Tran · Yarin Gal · Atilim Gunes Baydin
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Perceptual Score: What Data Modalities Does Your Model Perceive?
Itai Gat · Idan Schwartz · Alex Schwing
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Coupled Segmentation and Edge Learning via Dynamic Graph Propagation
Zhiding Yu · Rui Huang · Wonmin Byeon · Sifei Liu · Guilin Liu · Thomas Breuel · Anima Anandkumar · Jan Kautz
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Residual2Vec: Debiasing graph embedding with random graphs
Sadamori Kojaku · Jisung Yoon · Isabel Constantino · Yong-Yeol Ahn
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
BCD Nets: Scalable Variational Approaches for Bayesian Causal Discovery
Chris Cundy · Aditya Grover · Stefano Ermon
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Exploiting a Zoo of Checkpoints for Unseen Tasks
Jiaji Huang · Qiang Qiu · Kenneth Church
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Generalized Depthwise-Separable Convolutions for Adversarially Robust and Efficient Neural Networks
Hassan Dbouk · Naresh Shanbhag
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Learning rule influences recurrent network representations but not attractor structure in decision-making tasks
Brandon McMahan · Michael Kleinman · Jonathan Kao
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Morié Attack (MA): A New Potential Risk of Screen Photos
Dantong Niu · Ruohao Guo · Yisen Wang
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Predicting What You Already Know Helps: Provable Self-Supervised Learning
Jason Lee · Qi Lei · Nikunj Saunshi · JIACHENG ZHUO
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Streaming Belief Propagation for Community Detection
Yuchen Wu · Jakab Tardos · Mohammadhossein Bateni · André Linhares · Filipe Miguel Goncalves de Almeida · Andrea Montanari · Ashkan Norouzi-Fard
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Object-aware Contrastive Learning for Debiased Scene Representation
Sangwoo Mo · Hyunwoo Kang · Kihyuk Sohn · Chun-Liang Li · Jinwoo Shin
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Deconditional Downscaling with Gaussian Processes
Siu Lun Chau · Shahine Bouabid · Dino Sejdinovic
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Separation Results between Fixed-Kernel and Feature-Learning Probability Metrics
Carles Domingo i Enrich · Youssef Mroueh
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Neural View Synthesis and Matching for Semi-Supervised Few-Shot Learning of 3D Pose
Angtian Wang · Shenxiao Mei · Alan Yuille · Adam Kortylewski
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Differentiable Annealed Importance Sampling and the Perils of Gradient Noise
Guodong Zhang · Kyle Hsu · Jianing Li · Chelsea Finn · Roger Grosse
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Skipping the Frame-Level: Event-Based Piano Transcription With Neural Semi-CRFs
Yujia Yan · Frank Cwitkowitz · Zhiyao Duan
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Nested Variational Inference
Heiko Zimmermann · Hao Wu · Babak Esmaeili · Jan-Willem van de Meent
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Fractal Structure and Generalization Properties of Stochastic Optimization Algorithms
Alexander Camuto · George Deligiannidis · Murat Erdogdu · Mert Gurbuzbalaban · Umut Simsekli · Lingjiong Zhu
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Backward-Compatible Prediction Updates: A Probabilistic Approach
Frederik Träuble · Julius von Kügelgen · Matthäus Kleindessner · Francesco Locatello · Bernhard Schölkopf · Peter Gehler
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Physics-Integrated Variational Autoencoders for Robust and Interpretable Generative Modeling
Naoya Takeishi · Alexandros Kalousis
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Memory Efficient Meta-Learning with Large Images
John Bronskill · Daniela Massiceti · Massimiliano Patacchiola · Katja Hofmann · Sebastian Nowozin · Richard Turner
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
A Domain-Shrinking based Bayesian Optimization Algorithm with Order-Optimal Regret Performance
Sudeep Salgia · Sattar Vakili · Qing Zhao
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
A Theory of the Distortion-Perception Tradeoff in Wasserstein Space
Dror Freirich · Tomer Michaeli · Ron Meir
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Multilingual Pre-training with Universal Dependency Learning
Kailai Sun · Zuchao Li · Hai Zhao
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
DOCTOR: A Simple Method for Detecting Misclassification Errors
Federica Granese · Marco Romanelli · Daniele Gorla · Catuscia Palamidessi · Pablo Piantanida
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
The Many Faces of Adversarial Risk
Muni Sreenivas Pydi · Varun Jog
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Online learning in MDPs with linear function approximation and bandit feedback.
Gergely Neu · Iuliia Olkhovskaia
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Impression learning: Online representation learning with synaptic plasticity
Colin Bredenberg · Benjamin Lyo · Eero Simoncelli · Cristina Savin
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Linear-Time Probabilistic Solution of Boundary Value Problems
Nicholas Krämer · Philipp Hennig
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Credit Assignment Through Broadcasting a Global Error Vector
David Clark · L F Abbott · Sueyeon Chung
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Subgaussian and Differentiable Importance Sampling for Off-Policy Evaluation and Learning
Alberto Maria Metelli · Alessio Russo · Marcello Restelli
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
PatchGame: Learning to Signal Mid-level Patches in Referential Games
Kamal Gupta · Gowthami Somepalli · Anubhav Anubhav · Vinoj Yasanga Jayasundara Magalle Hewa · Matthias Zwicker · Abhinav Shrivastava
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
A unified framework for bandit multiple testing
Ziyu Xu · Ruodu Wang · Aaditya Ramdas
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
BulletTrain: Accelerating Robust Neural Network Training via Boundary Example Mining
Weizhe Hua · Yichi Zhang · Chuan Guo · Zhiru Zhang · G. Edward Suh
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Self-Consistent Models and Values
Greg Farquhar · Kate Baumli · Zita Marinho · Angelos Filos · Matteo Hessel · Hado van Hasselt · David Silver
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Generalization of Model-Agnostic Meta-Learning Algorithms: Recurring and Unseen Tasks
Alireza Fallah · Aryan Mokhtari · Asuman Ozdaglar
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
A No-go Theorem for Robust Acceleration in the Hyperbolic Plane
Linus Hamilton · Ankur Moitra
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Perturbation-based Regret Analysis of Predictive Control in Linear Time Varying Systems
Yiheng Lin · Yang Hu · Guanya Shi · Haoyuan Sun · Guannan Qu · Adam Wierman
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Unsupervised Noise Adaptive Speech Enhancement by Discriminator-Constrained Optimal Transport
Hsin-Yi Lin · Huan-Hsin Tseng · Xugang Lu · Yu Tsao
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Fast Training of Neural Lumigraph Representations using Meta Learning
Alexander Bergman · Petr Kellnhofer · Gordon Wetzstein
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Pure Exploration in Kernel and Neural Bandits
Yinglun Zhu · Dongruo Zhou · Ruoxi Jiang · Quanquan Gu · Rebecca Willett · Robert Nowak
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Consistent Non-Parametric Methods for Maximizing Robustness
Robi Bhattacharjee · Kamalika Chaudhuri
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Random Shuffling Beats SGD Only After Many Epochs on Ill-Conditioned Problems
Itay Safran · Ohad Shamir
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Removing Inter-Experimental Variability from Functional Data in Systems Neuroscience
Dominic Gonschorek · Larissa Höfling · Klaudia P. Szatko · Katrin Franke · Timm Schubert · Benjamin Dunn · Philipp Berens · David Klindt · Thomas Euler
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
VATT: Transformers for Multimodal Self-Supervised Learning from Raw Video, Audio and Text
Hassan Akbari · Liangzhe Yuan · Rui Qian · Wei-Hong Chuang · Shih-Fu Chang · Yin Cui · Boqing Gong
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Recursive Bayesian Networks: Generalising and Unifying Probabilistic Context-Free Grammars and Dynamic Bayesian Networks
Robert Lieck · Martin Rohrmeier
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
MarioNette: Self-Supervised Sprite Learning
Dmitriy Smirnov · MICHAEL GHARBI · Matthew Fisher · Vitor Guizilini · Alexei Efros · Justin Solomon
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Learning Generalized Gumbel-max Causal Mechanisms
Guy Lorberbom · Daniel D. Johnson · Chris Maddison · Daniel Tarlow · Tamir Hazan
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
On the Algorithmic Stability of Adversarial Training
Yue Xing · Qifan Song · Guang Cheng
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Achieving Forgetting Prevention and Knowledge Transfer in Continual Learning
Zixuan Ke · Bing Liu · Nianzu Ma · Hu Xu · Lei Shu
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Counterfactual Explanations in Sequential Decision Making Under Uncertainty
Stratis Tsirtsis · Abir De · Manuel Rodriguez
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
End-to-end Multi-modal Video Temporal Grounding
Yi-Wen Chen · Yi-Hsuan Tsai · Ming-Hsuan Yang
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Neural Auto-Curricula in Two-Player Zero-Sum Games
Xidong Feng · Oliver Slumbers · Ziyu Wan · Bo Liu · Stephen McAleer · Ying Wen · Jun Wang · Yaodong Yang
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
A Kernel-based Test of Independence for Cluster-correlated Data
Hongjiao Liu · Anna Plantinga · Yunhua Xiang · Michael Wu
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
A Closer Look at the Worst-case Behavior of Multi-armed Bandit Algorithms
Anand Kalvit · Assaf Zeevi
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Bootstrap Your Object Detector via Mixed Training
Mengde Xu · Zheng Zhang · Fangyun Wei · Yutong Lin · Yue Cao · Stephen Lin · Han Hu · Xiang Bai
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Fitting summary statistics of neural data with a differentiable spiking network simulator
Guillaume Bellec · Shuqi Wang · Alireza Modirshanechi · Johanni Brea · Wulfram Gerstner
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
BARTScore: Evaluating Generated Text as Text Generation
Weizhe Yuan · Graham Neubig · Pengfei Liu
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
On the Rate of Convergence of Regularized Learning in Games: From Bandits and Uncertainty to Optimism and Beyond
Angeliki Giannou · Emmanouil-Vasileios Vlatakis-Gkaragkounis · Panayotis Mertikopoulos
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Neural optimal feedback control with local learning rules
Johannes Friedrich · Siavash Golkar · Shiva Farashahi · Alexander Genkin · Anirvan Sengupta · Dmitri Chklovskii
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Multimodal Virtual Point 3D Detection
Tianwei Yin · Xingyi Zhou · Philipp Krähenbühl
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Teachable Reinforcement Learning via Advice Distillation
Olivia Watkins · Abhishek Gupta · Trevor Darrell · Pieter Abbeel · Jacob Andreas
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Finding Bipartite Components in Hypergraphs
Peter Macgregor · He Sun
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
SurvITE: Learning Heterogeneous Treatment Effects from Time-to-Event Data
Alicia Curth · Changhee Lee · Mihaela van der Schaar
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Bandits with Knapsacks beyond the Worst Case
Karthik Abinav Sankararaman · Aleksandrs Slivkins
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Dynamic population-based meta-learning for multi-agent communication with natural language
Abhinav Gupta · Marc Lanctot · Angeliki Lazaridou
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Long-Short Transformer: Efficient Transformers for Language and Vision
Chen Zhu · Wei Ping · Chaowei Xiao · Mohammad Shoeybi · Tom Goldstein · Anima Anandkumar · Bryan Catanzaro
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Sanity Checks for Lottery Tickets: Does Your Winning Ticket Really Win the Jackpot?
Xiaolong Ma · Geng Yuan · Xuan Shen · Tianlong Chen · Xuxi Chen · Xiaohan Chen · Ning Liu · Minghai Qin · Sijia Liu · Zhangyang Wang · Yanzhi Wang
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
NORESQA: A Framework for Speech Quality Assessment using Non-Matching References
Pranay Manocha · Buye Xu · Anurag Kumar
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
One Question Answering Model for Many Languages with Cross-lingual Dense Passage Retrieval
Akari Asai · Xinyan Yu · Jungo Kasai · Hanna Hajishirzi
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Panoptic 3D Scene Reconstruction From a Single RGB Image
Manuel Dahnert · Ji Hou · Matthias Niessner · Angela Dai
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Offline RL Without Off-Policy Evaluation
David Brandfonbrener · Will Whitney · Rajesh Ranganath · Joan Bruna
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
A flow-based latent state generative model of neural population responses to natural images
Mohammad Bashiri · Edgar Walker · Konstantin-Klemens Lurz · Akshay Jagadish · Taliah Muhammad · Zhiwei Ding · Zhuokun Ding · Andreas Tolias · Fabian Sinz
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Vector-valued Gaussian Processes on Riemannian Manifolds via Gauge Independent Projected Kernels
Michael Hutchinson · Alexander Terenin · Viacheslav Borovitskiy · So Takao · Yee Teh · Marc Deisenroth
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
SE(3)-equivariant prediction of molecular wavefunctions and electronic densities
Oliver Unke · Mihail Bogojeski · Michael Gastegger · Mario Geiger · Tess Smidt · Klaus-Robert Müller
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Reinforcement Learning in Reward-Mixing MDPs
Jeongyeol Kwon · Yonathan Efroni · Constantine Caramanis · Shie Mannor
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Online Convex Optimization with Continuous Switching Constraint
Guanghui Wang · Yuanyu Wan · Tianbao Yang · Lijun Zhang
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
A Universal Law of Robustness via Isoperimetry
Sebastien Bubeck · Mark Sellke
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Improving Calibration through the Relationship with Adversarial Robustness
Yao Qin · Xuezhi Wang · Alex Beutel · Ed Chi
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Achieving Rotational Invariance with Bessel-Convolutional Neural Networks
Valentin Delchevalerie · Adrien Bibal · Benoît Frénay · Alexandre Mayer
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Near-Optimal Offline Reinforcement Learning via Double Variance Reduction
Ming Yin · Yu Bai · Yu-Xiang Wang
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
On Model Calibration for Long-Tailed Object Detection and Instance Segmentation
Tai-Yu Pan · Cheng Zhang · Yandong Li · Hexiang Hu · Dong Xuan · Soravit Changpinyo · Boqing Gong · Wei-Lun Chao
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Your head is there to move you around: Goal-driven models of the primate dorsal pathway
Patrick Mineault · Shahab Bakhtiari · Blake Richards · Christopher Pack
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Revisiting ResNets: Improved Training and Scaling Strategies
Irwan Bello · William Fedus · Xianzhi Du · Ekin Dogus Cubuk · Aravind Srinivas · Tsung-Yi Lin · Jonathon Shlens · Barret Zoph
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Adversarial Examples Make Strong Poisons
Liam Fowl · Micah Goldblum · Ping-yeh Chiang · Jonas Geiping · Wojciech Czaja · Tom Goldstein
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Safe Pontryagin Differentiable Programming
Wanxin Jin · Shaoshuai Mou · George J. Pappas
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
NeurWIN: Neural Whittle Index Network For Restless Bandits Via Deep RL
Khaled Nakhleh · Santosh Ganji · Ping-Chun Hsieh · I-Hong Hou · Srinivas Shakkottai
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Adversarial Examples for k-Nearest Neighbor Classifiers Based on Higher-Order Voronoi Diagrams
Chawin Sitawarin · Evgenios Kornaropoulos · Dawn Song · David Wagner
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
MAU: A Motion-Aware Unit for Video Prediction and Beyond
Zheng Chang · Xinfeng Zhang · Shanshe Wang · Siwei Ma · Yan Ye · Xiang Xinguang · Wen Gao
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
PCA Initialization for Approximate Message Passing in Rotationally Invariant Models
Marco Mondelli · Ramji Venkataramanan
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Can fMRI reveal the representation of syntactic structure in the brain?
Aniketh Janardhan Reddy · Leila Wehbe
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Indexed Minimum Empirical Divergence for Unimodal Bandits
Hassan SABER · Pierre Ménard · Odalric-Ambrym Maillard
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Graph Neural Networks with Local Graph Parameters
Pablo Barceló · Floris Geerts · Juan Reutter · Maksimilian Ryschkov
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Invariance Principle Meets Information Bottleneck for Out-of-Distribution Generalization
Kartik Ahuja · Ethan Caballero · Dinghuai Zhang · Jean-Christophe Gagnon-Audet · Yoshua Bengio · Ioannis Mitliagkas · Irina Rish
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Asymptotically Best Causal Effect Identification with Multi-Armed Bandits
Alan Malek · Silvia Chiappa
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Statistical Undecidability in Linear, Non-Gaussian Causal Models in the Presence of Latent Confounders
Konstantin Genin
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Matrix factorisation and the interpretation of geodesic distance
Nick Whiteley · Annie Gray · Patrick Rubin-Delanchy
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Stochastic Online Linear Regression: the Forward Algorithm to Replace Ridge
Reda Ouhamma · Odalric-Ambrym Maillard · Vianney Perchet
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Synthetic Design: An Optimization Approach to Experimental Design with Synthetic Controls
Nick Doudchenko · Khashayar Khosravi · Jean Pouget-Abadie · Sébastien Lahaie · Miles Lubin · Vahab Mirrokni · Jann Spiess · guido imbens
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Stochastic Optimization of Areas Under Precision-Recall Curves with Provable Convergence
Qi Qi · Youzhi Luo · Zhao Xu · Shuiwang Ji · Tianbao Yang
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
MICo: Improved representations via sampling-based state similarity for Markov decision processes
Pablo Samuel Castro · Tyler Kastner · Prakash Panangaden · Mark Rowland
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Learning-to-learn non-convex piecewise-Lipschitz functions
Maria-Florina Balcan · Mikhail Khodak · Dravyansh Sharma · Ameet Talwalkar
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
TOHAN: A One-step Approach towards Few-shot Hypothesis Adaptation
Haoang Chi · Feng Liu · Wenjing Yang · Long Lan · Tongliang Liu · Bo Han · William Cheung · James Kwok
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
An Empirical Investigation of Domain Generalization with Empirical Risk Minimizers
Ramakrishna Vedantam · David Lopez-Paz · David Schwab
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Answering Complex Causal Queries With the Maximum Causal Set Effect
Zachary Markovich
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
On Calibration and Out-of-Domain Generalization
Yoav Wald · Amir Feder · Daniel Greenfeld · Uri Shalit
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Cardinality constrained submodular maximization for random streams
Paul Liu · Aviad Rubinstein · Jan Vondrak · Junyao Zhao
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Multi-modal Dependency Tree for Video Captioning
Wentian Zhao · Xinxiao Wu · Jiebo Luo
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Shapeshifter: a Parameter-efficient Transformer using Factorized Reshaped Matrices
Aliakbar Panahi · Seyran Saeedi · Tom Arodz
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Identification of Partially Observed Linear Causal Models: Graphical Conditions for the Non-Gaussian and Heterogeneous Cases
Jeffrey Adams · Niels Hansen · Kun Zhang
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Fast Minimum-norm Adversarial Attacks through Adaptive Norm Constraints
Maura Pintor · Fabio Roli · Wieland Brendel · Battista Biggio
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Escape saddle points by a simple gradient-descent based algorithm
Chenyi Zhang · Tongyang Li
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Online Multi-Armed Bandits with Adaptive Inference
Maria Dimakopoulou · Zhimei Ren · Zhengyuan Zhou
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Dealing With Misspecification In Fixed-Confidence Linear Top-m Identification
Clémence Réda · Andrea Tirinzoni · Rémy Degenne
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Model Adaptation: Historical Contrastive Learning for Unsupervised Domain Adaptation without Source Data
Jiaxing Huang · Dayan Guan · Aoran Xiao · Shijian Lu
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Adversarially robust learning for security-constrained optimal power flow
Priya Donti · Aayushya Agarwal · Neeraj Vijay Bedmutha · Larry Pileggi · J. Zico Kolter
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Exploiting the Intrinsic Neighborhood Structure for Source-free Domain Adaptation
Shiqi Yang · yaxing wang · Joost van de Weijer · Luis Herranz · Shangling Jui
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Adversarial Graph Augmentation to Improve Graph Contrastive Learning
Susheel Suresh · Pan Li · Cong Hao · Jennifer Neville
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
An Image is Worth More Than a Thousand Words: Towards Disentanglement in The Wild
Aviv Gabbay · Niv Cohen · Yedid Hoshen
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Bayesian decision-making under misspecified priors with applications to meta-learning
Max Simchowitz · Christopher Tosh · Akshay Krishnamurthy · Daniel Hsu · Thodoris Lykouris · Miro Dudik · Robert Schapire
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Counterfactual Maximum Likelihood Estimation for Training Deep Networks
Xinyi Wang · Wenhu Chen · Michael Saxon · William Yang Wang
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Stateful ODE-Nets using Basis Function Expansions
Alejandro Queiruga · N. Benjamin Erichson · Liam Hodgkinson · Michael Mahoney
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Optimal Order Simple Regret for Gaussian Process Bandits
Sattar Vakili · Nacime Bouziani · Sepehr Jalali · Alberto Bernacchia · Da-shan Shiu
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
A Separation Result Between Data-oblivious and Data-aware Poisoning Attacks
Samuel Deng · Sanjam Garg · Somesh Jha · Saeed Mahloujifar · Mohammad Mahmoody · Abhradeep Guha Thakurta
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Robust and Fully-Dynamic Coreset for Continuous-and-Bounded Learning (With Outliers) Problems
Zixiu Wang · Yiwen Guo · Hu Ding
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Deformable Butterfly: A Highly Structured and Sparse Linear Transform
Rui Lin · Jie Ran · King Hung Chiu · Graziano Chesi · Ngai Wong
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Deep Reinforcement Learning at the Edge of the Statistical Precipice
Rishabh Agarwal · Max Schwarzer · Pablo Samuel Castro · Aaron Courville · Marc Bellemare
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Temporally Abstract Partial Models
Khimya Khetarpal · Zafarali Ahmed · Gheorghe Comanici · Doina Precup
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
An analysis of Ermakov-Zolotukhin quadrature using kernels
Ayoub Belhadji
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Adversarial Attacks on Black Box Video Classifiers: Leveraging the Power of Geometric Transformations
Shasha Li · Abhishek Aich · Shitong Zhu · Salman Asif · Chengyu Song · Amit Roy-Chowdhury · Srikanth Krishnamurthy
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Gradient-based Hyperparameter Optimization Over Long Horizons
Paul Micaelli · Amos Storkey
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Double Machine Learning Density Estimation for Local Treatment Effects with Instruments
Yonghan Jung · Jin Tian · Elias Bareinboim
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Revisiting Hilbert-Schmidt Information Bottleneck for Adversarial Robustness
Zifeng Wang · Tong Jian · Aria Masoomi · Stratis Ioannidis · Jennifer Dy
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Rebounding Bandits for Modeling Satiation Effects
Liu Leqi · Fatma Kilinc Karzan · Zachary Lipton · Alan Montgomery
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Scallop: From Probabilistic Deductive Databases to Scalable Differentiable Reasoning
Jiani Huang · Ziyang Li · Binghong Chen · Karan Samel · Mayur Naik · Le Song · Xujie Si
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Sharp Impossibility Results for Hyper-graph Testing
Jiashun Jin · Zheng Tracy Ke · Jiajun Liang
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
3DP3: 3D Scene Perception via Probabilistic Programming
Nishad Gothoskar · Marco Cusumano-Towner · Ben Zinberg · Matin Ghavamizadeh · Falk Pollok · Austin Garrett · Josh Tenenbaum · Dan Gutfreund · Vikash Mansinghka
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Off-Policy Risk Assessment in Contextual Bandits
Audrey Huang · Liu Leqi · Zachary Lipton · Kamyar Azizzadenesheli
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Reverse-Complement Equivariant Networks for DNA Sequences
Vincent Mallet · Jean-Philippe Vert
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Online Sign Identification: Minimization of the Number of Errors in Thresholding Bandits
Reda Ouhamma · Odalric-Ambrym Maillard · Vianney Perchet
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Self-Attention Between Datapoints: Going Beyond Individual Input-Output Pairs in Deep Learning
Jannik Kossen · Neil Band · Clare Lyle · Aidan Gomez · Thomas Rainforth · Yarin Gal
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Grounding inductive biases in natural images: invariance stems from variations in data
Diane Bouchacourt · Mark Ibrahim · Ari Morcos
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Editing a classifier by rewriting its prediction rules
Shibani Santurkar · Dimitris Tsipras · Mahalaxmi Elango · David Bau · Antonio Torralba · Aleksander Madry
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Formalizing Generalization and Adversarial Robustness of Neural Networks to Weight Perturbations
Yu-Lin Tsai · Chia-Yi Hsu · Chia-Mu Yu · Pin-Yu Chen
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Automated Discovery of Adaptive Attacks on Adversarial Defenses
Chengyuan Yao · Pavol Bielik · Petar Tsankov · Martin Vechev
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Tailoring: encoding inductive biases by optimizing unsupervised objectives at prediction time
Ferran Alet · Maria Bauza · Kenji Kawaguchi · Nurullah Giray Kuru · Tomás Lozano-Pérez · Leslie Kaelbling
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Aligning Silhouette Topology for Self-Adaptive 3D Human Pose Recovery
Ramesha Rakesh Mugaludi · Jogendra Nath Kundu · Varun Jampani · Venkatesh Babu R
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Counterfactual Invariance to Spurious Correlations in Text Classification
Victor Veitch · Alexander D'Amour · Steve Yadlowsky · Jacob Eisenstein
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
EvoGrad: Efficient Gradient-Based Meta-Learning and Hyperparameter Optimization
Ondrej Bohdal · Yongxin Yang · Timothy Hospedales
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
SOLQ: Segmenting Objects by Learning Queries
Bin Dong · Fangao Zeng · Tiancai Wang · Xiangyu Zhang · Yichen Wei
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Provable Model-based Nonlinear Bandit and Reinforcement Learning: Shelve Optimism, Embrace Virtual Curvature
Kefan Dong · Jiaqi Yang · Tengyu Ma
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Variational Diffusion Models
Diederik Kingma · Tim Salimans · Ben Poole · Jonathan Ho
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Collaborative Uncertainty in Multi-Agent Trajectory Forecasting
Bohan Tang · Yiqi Zhong · Ulrich Neumann · Gang Wang · Siheng Chen · Ya Zhang
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
On Provable Benefits of Depth in Training Graph Convolutional Networks
Weilin Cong · Morteza Ramezani · Mehrdad Mahdavi
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Locality defeats the curse of dimensionality in convolutional teacher-student scenarios
Alessandro Favero · Francesco Cagnetta · Matthieu Wyart
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Scalable Inference in SDEs by Direct Matching of the Fokker–Planck–Kolmogorov Equation
Arno Solin · Ella Tamir · Prakhar Verma
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Beware of the Simulated DAG! Causal Discovery Benchmarks May Be Easy to Game
Alexander Reisach · Christof Seiler · Sebastian Weichwald
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Do Wider Neural Networks Really Help Adversarial Robustness?
Boxi Wu · Jinghui Chen · Deng Cai · Xiaofei He · Quanquan Gu
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
The effectiveness of feature attribution methods and its correlation with automatic evaluation scores
Giang Nguyen · Daeyoung Kim · Anh Nguyen
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Tractable Regularization of Probabilistic Circuits
Anji Liu · Guy Van den Broeck
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Supervising the Transfer of Reasoning Patterns in VQA
Corentin Kervadec · Christian Wolf · Grigory Antipov · Moez Baccouche · Madiha Nadri
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
PerSim: Data-Efficient Offline Reinforcement Learning with Heterogeneous Agents via Personalized Simulators
Anish Agarwal · Abdullah Alomar · Varkey Alumootil · Devavrat Shah · Dennis Shen · Zhi Xu · Cindy Yang
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Refining Language Models with Compositional Explanations
Huihan Yao · Ying Chen · Qinyuan Ye · Xisen Jin · Xiang Ren
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
On the Suboptimality of Thompson Sampling in High Dimensions
Raymond Zhang · Richard Combes
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
An Exact Characterization of the Generalization Error for the Gibbs Algorithm
Gholamali Aminian · Yuheng Bu · Laura Toni · Miguel Rodrigues · Gregory Wornell
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Evaluating model performance under worst-case subpopulations
Mike Li · Hongseok Namkoong · Shangzhou Xia
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Deep Neural Networks as Point Estimates for Deep Gaussian Processes
Vincent Dutordoir · James Hensman · Mark van der Wilk · Carl Henrik Ek · Zoubin Ghahramani · Nicolas Durrande
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Domain Adaptation with Invariant Representation Learning: What Transformations to Learn?
Petar Stojanov · Zijian Li · Mingming Gong · Ruichu Cai · Jaime Carbonell · Kun Zhang
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Generalization Bounds for Meta-Learning via PAC-Bayes and Uniform Stability
Alec Farid · Anirudha Majumdar
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Bias Out-of-the-Box: An Empirical Analysis of Intersectional Occupational Biases in Popular Generative Language Models
Hannah Rose Kirk · Yennie Jun · Filippo Volpin · Haider Iqbal · Elias Benussi · Frederic Dreyer · Aleksandar Shtedritski · Yuki Asano
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Learning Equilibria in Matching Markets from Bandit Feedback
Meena Jagadeesan · Alexander Wei · Yixin Wang · Michael Jordan · Jacob Steinhardt
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
TTT++: When Does Self-Supervised Test-Time Training Fail or Thrive?
Yuejiang Liu · Parth Kothari · Bastien van Delft · Baptiste Bellot-Gurlet · Taylor Mordan · Alexandre Alahi
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Parallelizing Thompson Sampling
Amin Karbasi · Vahab Mirrokni · Mohammad Shadravan
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
A Causal Lens for Controllable Text Generation
Zhiting Hu · Li Erran Li
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Deep inference of latent dynamics with spatio-temporal super-resolution using selective backpropagation through time
Feng Zhu · Andrew Sedler · Harrison A Grier · Nauman Ahad · Mark Davenport · Matthew Kaufman · Andrea Giovannucci · Chethan Pandarinath
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Language models enable zero-shot prediction of the effects of mutations on protein function
Joshua Meier · Roshan Rao · Robert Verkuil · Jason Liu · Tom Sercu · Alex Rives
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Grad2Task: Improved Few-shot Text Classification Using Gradients for Task Representation
Jixuan Wang · Kuan-Chieh Wang · Frank Rudzicz · Michael Brudno
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Compressed Video Contrastive Learning
Yuqi Huo · Mingyu Ding · Haoyu Lu · Nanyi Fei · Zhiwu Lu · Ji-Rong Wen · Ping Luo
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Hyperbolic Procrustes Analysis Using Riemannian Geometry
Ya-Wei Eileen Lin · Yuval Kluger · Ronen Talmon
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Differentiable rendering with perturbed optimizers
Quentin Le Lidec · Ivan Laptev · Cordelia Schmid · Justin Carpentier
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Nested Graph Neural Networks
Muhan Zhang · Pan Li
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Deep Learning Through the Lens of Example Difficulty
Robert Baldock · Hartmut Maennel · Behnam Neyshabur
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Learning with Algorithmic Supervision via Continuous Relaxations
Felix Petersen · Christian Borgelt · Hilde Kuehne · Oliver Deussen
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Compositional Modeling of Nonlinear Dynamical Systems with ODE-based Random Features
Thomas McDonald · Mauricio Álvarez
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Shape Registration in the Time of Transformers
Giovanni Trappolini · Luca Cosmo · Luca Moschella · Riccardo Marin · Simone Melzi · Emanuele Rodolà
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Across-animal odor decoding by probabilistic manifold alignment
Pedro Herrero-Vidal · Dmitry Rinberg · Cristina Savin
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Score-based Generative Neural Networks for Large-Scale Optimal Transport
Grady Daniels · Tyler Maunu · Paul Hand
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Optimality of variational inference for stochasticblock model with missing links
Solenne Gaucher · Olga Klopp
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Recurrent Submodular Welfare and Matroid Blocking Semi-Bandits
Orestis Papadigenopoulos · Constantine Caramanis
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Causal Effect Inference for Structured Treatments
Jean Kaddour · Yuchen Zhu · Qi Liu · Matt Kusner · Ricardo Silva
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Neural Human Performer: Learning Generalizable Radiance Fields for Human Performance Rendering
Youngjoong Kwon · Dahun Kim · Duygu Ceylan · Henry Fuchs
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Counterfactual Explanations Can Be Manipulated
Dylan Slack · Anna Hilgard · Himabindu Lakkaraju · Sameer Singh
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Nonparametric estimation of continuous DPPs with kernel methods
Michaël Fanuel · Rémi Bardenet
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Introspective Distillation for Robust Question Answering
Yulei Niu · Hanwang Zhang
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Drawing Robust Scratch Tickets: Subnetworks with Inborn Robustness Are Found within Randomly Initialized Networks
Yonggan Fu · Qixuan Yu · Yang Zhang · Shang Wu · Xu Ouyang · David Cox · Yingyan Lin
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Learning Disentangled Behavior Embeddings
Changhao Shi · Sivan Schwartz · Shahar Levy · Shay Achvat · Maisan Abboud · Amir Ghanayim · Jackie Schiller · Gal Mishne
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Global Convergence of Gradient Descent for Asymmetric Low-Rank Matrix Factorization
Tian Ye · Simon Du
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Multi-armed Bandit Requiring Monotone Arm Sequences
Ningyuan Chen
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Validation Free and Replication Robust Volume-based Data Valuation
Xinyi Xu · Zhaoxuan Wu · Chuan Sheng Foo · Bryan Kian Hsiang Low
[ Slides [ OpenReview
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Learning Graph Cellular Automata
Daniele Grattarola · Lorenzo Livi · Cesare Alippi
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
A-NeRF: Articulated Neural Radiance Fields for Learning Human Shape, Appearance, and Pose
Shih-Yang Su · Frank Yu · Michael Zollhoefer · Helge Rhodin
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
GeoMol: Torsional Geometric Generation of Molecular 3D Conformer Ensembles
Octavian Ganea · Lagnajit Pattanaik · Connor Coley · Regina Barzilay · Klavs Jensen · William Green · Tommi Jaakkola
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Dueling Bandits with Adversarial Sleeping
Aadirupa Saha · Pierre Gaillard
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Hybrid Regret Bounds for Combinatorial Semi-Bandits and Adversarial Linear Bandits
Shinji Ito
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Dynamics-regulated kinematic policy for egocentric pose estimation
Zhengyi Luo · Ryo Hachiuma · Ye Yuan · Kris Kitani
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Projected GANs Converge Faster
Axel Sauer · Kashyap Chitta · Jens Müller · Andreas Geiger
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Certifying Robustness to Programmable Data Bias in Decision Trees
Anna Meyer · Aws Albarghouthi · Loris D'Antoni
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Continuous vs. Discrete Optimization of Deep Neural Networks
Omer Elkabetz · Nadav Cohen
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Proxy-Normalizing Activations to Match Batch Normalization while Removing Batch Dependence
Antoine Labatie · Dominic Masters · Zach Eaton-Rosen · Carlo Luschi
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
A Winning Hand: Compressing Deep Networks Can Improve Out-of-Distribution Robustness
James Diffenderfer · Brian Bartoldson · Shreya Chaganti · Jize Zhang · Bhavya Kailkhura
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
Finding Optimal Tangent Points for Reducing Distortions of Hard-label Attacks
Chen Ma · Xiangyu Guo · Li Chen · Jun-Hai Yong · Yisen Wang
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
The Causal-Neural Connection: Expressiveness, Learnability, and Inference
Kevin Xia · Kai-Zhan Lee · Yoshua Bengio · Elias Bareinboim
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Aligning Pretraining for Detection via Object-Level Contrastive Learning
Fangyun Wei · Yue Gao · Zhirong Wu · Han Hu · Stephen Lin
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Optimal Best-Arm Identification Methods for Tail-Risk Measures
Shubhada Agrawal · Wouter Koolen · Sandeep Juneja
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Interpolation can hurt robust generalization even when there is no noise
Konstantin Donhauser · Alexandru Tifrea · Michael Aerni · Reinhard Heckel · Fanny Yang
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Row-clustering of a Point Process-valued Matrix
Lihao Yin · Ganggang Xu · Huiyan Sang · Yongtao Guan
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Meta-Learning Reliable Priors in the Function Space
Jonas Rothfuss · Dominique Heyn · jinfan Chen · Andreas Krause
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Provably Efficient Causal Reinforcement Learning with Confounded Observational Data
Lingxiao Wang · Zhuoran Yang · Zhaoran Wang
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
The Difficulty of Passive Learning in Deep Reinforcement Learning
Georg Ostrovski · Pablo Samuel Castro · Will Dabney
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Mind the Gap: Assessing Temporal Generalization in Neural Language Models
Angeliki Lazaridou · Adhi Kuncoro · Elena Gribovskaya · Devang Agrawal · Adam Liska · Tayfun Terzi · Mai Gimenez · Cyprien de Masson d'Autume · Tomas Kocisky · Sebastian Ruder · Dani Yogatama · Kris Cao · Susannah Barlow · Phil Blunsom
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Scaling Vision with Sparse Mixture of Experts
Carlos Riquelme · Joan Puigcerver · Basil Mustafa · Maxim Neumann · Rodolphe Jenatton · André Susano Pinto · Daniel Keysers · Neil Houlsby
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Reusing Combinatorial Structure: Faster Iterative Projections over Submodular Base Polytopes
Jai Moondra · Hassan Mortagy · Swati Gupta
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Overcoming the Convex Barrier for Simplex Inputs
Harkirat Singh Behl · M. Pawan Kumar · Philip Torr · Krishnamurthy Dvijotham
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST) @ Virtual
An Infinite-Feature Extension for Bayesian ReLU Nets That Fixes Their Asymptotic Overconfidence
Agustinus Kristiadi · Matthias Hein · Philipp Hennig
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Provably Strict Generalisation Benefit for Invariance in Kernel Methods
Bryn Elesedy
Poster
Tue Dec 07 08:30 AM -- 10:00 AM (PST)
Pooling by Sliced-Wasserstein Embedding
Navid Naderializadeh · Joseph F Comer · Reed Andrews · Heiko Hoffmann · Soheil Kolouri
Affinity Workshop
Tue Dec 07 10:00 AM -- 03:00 PM (PST)
LatinX in AI (LXAI) Research @ NeurIPS 2021
Maria Luisa Santiago · Andres Munoz Medina · Laura Montoya · Karla Caballero Barajas · Isabel Metzger · Jose Gallego-Posada · Juan Banda · Gabriela Vega · Amanda Duarte · Patrick Feeney · Lourdes Ramírez Cerna · Walter M Mayor · Omar U. Florez · Rosina Weber · Rocio Zorrilla
Competition
Tue Dec 07 10:00 AM -- 03:04 PM (PST)
Competition Track Day 1: Overviews + Breakout Sessions
Douwe Kiela · Marco Ciccone · Barbara Caputo
Affinity Workshop
Tue Dec 07 11:00 AM -- 02:33 PM (PST)
New in ML 2
Haozhe Sun · Wenzhuo Liu · Joseph Pedersen
Invited Talk
Tue Dec 07 03:00 PM -- 04:30 PM (PST)
The Banality of Scale: A Theory on the Limits of Modeling Bias and Fairness Frameworks for Social Justice (and other lessons from the Pandemic)
Mary L. Gray
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Sample Complexity of Tree Search Configuration: Cutting Planes and Beyond
Maria-Florina Balcan · Siddharth Prasad · Tuomas Sandholm · Ellen Vitercik
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Overparameterization Improves Robustness to Covariate Shift in High Dimensions
Nilesh Tripuraneni · Ben Adlam · Jeffrey Pennington
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
NovelD: A Simple yet Effective Exploration Criterion
Tianjun Zhang · Huazhe Xu · Xiaolong Wang · Yi Wu · Kurt Keutzer · Joseph Gonzalez · Yuandong Tian
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Be Confident! Towards Trustworthy Graph Neural Networks via Confidence Calibration
Xiao Wang · Hongrui Liu · Chuan Shi · Cheng Yang
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Validating the Lottery Ticket Hypothesis with Inertial Manifold Theory
Zeru Zhang · Jiayin Jin · Zijie Zhang · Yang Zhou · Xin Zhao · Jiaxiang Ren · Ji Liu · Lingfei Wu · Ruoming Jin · Dejing Dou
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
CLIP-It! Language-Guided Video Summarization
Medhini Narasimhan · Anna Rohrbach · Trevor Darrell
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Leveraging SE(3) Equivariance for Self-supervised Category-Level Object Pose Estimation from Point Clouds
Xiaolong Li · Yijia Weng · Li Yi · Leonidas Guibas · A. Abbott · Shuran Song · He Wang
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Revisiting 3D Object Detection From an Egocentric Perspective
Boyang Deng · Charles R Qi · Mahyar Najibi · Thomas Funkhouser · Yin Zhou · Dragomir Anguelov
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
On the Value of Infinite Gradients in Variational Autoencoder Models
Bin Dai · Li Wenliang · David Wipf
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Dimensionality Reduction for Wasserstein Barycenter
Zachary Izzo · Sandeep Silwal · Samson Zhou
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Exploiting Local Convergence of Quasi-Newton Methods Globally: Adaptive Sample Size Approach
Qiujiang Jin · Aryan Mokhtari
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Neural Analysis and Synthesis: Reconstructing Speech from Self-Supervised Representations
Hyeong-Seok Choi · Juheon Lee · Wansoo Kim · Jie Lee · Hoon Heo · Kyogu Lee
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Learned Robust PCA: A Scalable Deep Unfolding Approach for High-Dimensional Outlier Detection
HanQin Cai · Jialin Liu · Wotao Yin
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Machine versus Human Attention in Deep Reinforcement Learning Tasks
Sihang Guo · Ruohan Zhang · Bo Liu · Yifeng Zhu · Dana Ballard · Mary Hayhoe · Peter Stone
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Temporal-attentive Covariance Pooling Networks for Video Recognition
Zilin Gao · Qilong Wang · Bingbing Zhang · Qinghua Hu · Peihua Li
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Machine learning structure preserving brackets for forecasting irreversible processes
Kookjin Lee · Nathaniel Trask · Panos Stinis
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Generalized Proximal Policy Optimization with Sample Reuse
James Queeney · Yannis Paschalidis · Christos G Cassandras
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
On the Variance of the Fisher Information for Deep Learning
Alexander Soen · Ke Sun
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Escaping Saddle Points with Compressed SGD
Dmitrii Avdiukhin · Grigory Yaroslavtsev
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST) @ Virtual
When Expressivity Meets Trainability: Fewer than $n$ Neurons Can Work
Jiawei Zhang · Yushun Zhang · Mingyi Hong · Ruoyu Sun · Zhi-Quan Luo
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting
Haixu Wu · Jiehui Xu · Jianmin Wang · Mingsheng Long
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Provably efficient multi-task reinforcement learning with model transfer
Chicheng Zhang · Zhi Wang
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Learning and Generalization in RNNs
Abhishek Panigrahi · Navin Goyal
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Scheduling jobs with stochastic holding costs
Dabeen Lee · Milan Vojnovic
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Inverse-Weighted Survival Games
Xintian Han · Mark Goldstein · Aahlad Puli · Thomas Wies · Adler Perotte · Rajesh Ranganath
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Model-Based Domain Generalization
Alexander Robey · George J. Pappas · Hamed Hassani
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
The Elastic Lottery Ticket Hypothesis
Xiaohan Chen · Yu Cheng · Shuohang Wang · Zhe Gan · Jingjing Liu · Zhangyang Wang
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Learning to Elect
Cem Anil · Xuchan Bao
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Bellman Eluder Dimension: New Rich Classes of RL Problems, and Sample-Efficient Algorithms
Chi Jin · Qinghua Liu · Sobhan Miryoosefi
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Bandit Learning with Delayed Impact of Actions
Wei Tang · Chien-Ju Ho · Yang Liu
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Heavy Ball Neural Ordinary Differential Equations
Hedi Xia · Vai Suliafu · Hangjie Ji · Tan Nguyen · Andrea Bertozzi · Stanley Osher · Bao Wang
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Testing Probabilistic Circuits
Yash Pote · Kuldeep S Meel
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Does Knowledge Distillation Really Work?
Samuel Stanton · Pavel Izmailov · Polina Kirichenko · Alexander Alemi · Andrew Wilson
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Differentiable Simulation of Soft Multi-body Systems
Yi-Ling Qiao · Junbang Liang · Vladlen Koltun · Ming Lin
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Modified Frank Wolfe in Probability Space
Carson Kent · Jiajin Li · Jose Blanchet · Peter W Glynn
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
A mechanistic multi-area recurrent network model of decision-making
Michael Kleinman · Chandramouli Chandrasekaran · Jonathan Kao
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
ELLA: Exploration through Learned Language Abstraction
Suvir Mirchandani · Siddharth Karamcheti · Dorsa Sadigh
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer
Ge Yang · Edward Hu · Igor Babuschkin · Szymon Sidor · Xiaodong Liu · David Farhi · Nick Ryder · Jakub Pachocki · Weizhu Chen · Jianfeng Gao
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST) @ Virtual
Self-Diagnosing GAN: Diagnosing Underrepresented Samples in Generative Adversarial Networks
Jinhee Lee · Haeri Kim · Youngkyu Hong · Hye Won Chung
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Gradient-Free Adversarial Training Against Image Corruption for Learning-based Steering
Yu Shen · Laura Zheng · Manli Shu · Weizi Li · Tom Goldstein · Ming Lin
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
An Improved Analysis and Rates for Variance Reduction under Without-replacement Sampling Orders
Xinmeng Huang · Kun Yuan · Xianghui Mao · Wotao Yin
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Taxonomizing local versus global structure in neural network loss landscapes
Yaoqing Yang · Liam Hodgkinson · Ryan Theisen · Joe Zou · Joseph Gonzalez · Kannan Ramchandran · Michael Mahoney
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Towards a Theoretical Framework of Out-of-Distribution Generalization
Haotian Ye · Chuanlong Xie · Tianle Cai · Ruichen Li · Zhenguo Li · Liwei Wang
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
A Prototype-Oriented Framework for Unsupervised Domain Adaptation
Korawat Tanwisuth · Xinjie Fan · Huangjie Zheng · Shujian Zhang · Hao Zhang · Bo Chen · Mingyuan Zhou
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Out-of-Distribution Generalization in Kernel Regression
Abdulkadir Canatar · Blake Bordelon · Cengiz Pehlevan
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST) @ Virtual
Provably Efficient Reinforcement Learning with Linear Function Approximation under Adaptivity Constraints
Tianhao Wang · Dongruo Zhou · Quanquan Gu
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
K-level Reasoning for Zero-Shot Coordination in Hanabi
Brandon Cui · Hengyuan Hu · Luis Pineda · Jakob Foerster
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
A Highly-Efficient Group Elastic Net Algorithm with an Application to Function-On-Scalar Regression
Tobia Boschi · Matthew Reimherr · Francesca Chiaromonte
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Learning Tree Interpretation from Object Representation for Deep Reinforcement Learning
Guiliang Liu · Xiangyu Sun · Oliver Schulte · Pascal Poupart
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
EIGNN: Efficient Infinite-Depth Graph Neural Networks
Juncheng Liu · Kenji Kawaguchi · Bryan Hooi · Yiwei Wang · Xiaokui Xiao
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST) @ Virtual
UniDoc: Unified Pretraining Framework for Document Understanding
Jiuxiang Gu · Jason Kuen · Vlad I Morariu · Handong Zhao · Rajiv Jain · Nikolaos Barmpalios · Ani Nenkova · Tong Sun
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Reinforcement Learning with Latent Flow
Wenling Shang · Xiaofei Wang · Aravind Srinivas · Aravind Rajeswaran · Yang Gao · Pieter Abbeel · Misha Laskin
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
PiRank: Scalable Learning To Rank via Differentiable Sorting
Robin Swezey · Aditya Grover · Bruno Charron · Stefano Ermon
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
A Multi-Implicit Neural Representation for Fonts
Pradyumna Reddy · Zhifei Zhang · Zhaowen Wang · Matthew Fisher · Hailin Jin · Niloy Mitra
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Variational Model Inversion Attacks
Kuan-Chieh Wang · YAN FU · Ke Li · Ashish Khisti · Richard Zemel · Alireza Makhzani
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
L2ight: Enabling On-Chip Learning for Optical Neural Networks via Efficient in-situ Subspace Optimization
Jiaqi Gu · Hanqing Zhu · Chenghao Feng · Zixuan Jiang · Ray Chen · David Pan
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Teaching via Best-Case Counterexamples in the Learning-with-Equivalence-Queries Paradigm
Akash Kumar · Yuxin Chen · Adish Singla
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Learning Large Neighborhood Search Policy for Integer Programming
Yaoxin Wu · Wen Song · Zhiguang Cao · Jie Zhang
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Parameter Prediction for Unseen Deep Architectures
Boris Knyazev · Michal Drozdzal · Graham Taylor · Adriana Romero Soriano
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Efficient Truncated Linear Regression with Unknown Noise Variance
Constantinos Daskalakis · Patroklos Stefanou · Rui Yao · Emmanouil Zampetakis
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Joint Modeling of Visual Objects and Relations for Scene Graph Generation
Minghao Xu · Meng Qu · Bingbing Ni · Jian Tang
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Baleen: Robust Multi-Hop Reasoning at Scale via Condensed Retrieval
Omar Khattab · Christopher Potts · Matei Zaharia
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Towards Robust Bisimulation Metric Learning
Mete Kemertas · Tristan Aumentado-Armstrong
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Unadversarial Examples: Designing Objects for Robust Vision
Hadi Salman · Andrew Ilyas · Logan Engstrom · Sai Vemprala · Aleksander Madry · Ashish Kapoor
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST) @ Virtual
Pareto-Optimal Learning-Augmented Algorithms for Online Conversion Problems
Bo Sun · Russell Lee · Mohammad Hajiesmaili · Adam Wierman · Danny Tsang
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST) @ Virtual
Accommodating Picky Customers: Regret Bound and Exploration Complexity for Multi-Objective Reinforcement Learning
Jingfeng Wu · Vladimir Braverman · Lin Yang
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Absolute Neighbour Difference based Correlation Test for Detecting Heteroscedastic Relationships
Lifeng Zhang
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST) @ Virtual
Shift-Robust GNNs: Overcoming the Limitations of Localized Graph Training data
Qi Zhu · Natalia Ponomareva · Jiawei Han · Bryan Perozzi
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST) @ Virtual
Densely connected normalizing flows
Matej Grcić · Ivan Grubišić · Siniša Šegvić
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST) @ Virtual
Transfer Learning of Graph Neural Networks with Ego-graph Information Maximization
Qi Zhu · Carl Yang · Yidan Xu · Haonan Wang · Chao Zhang · Jiawei Han
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
No-Press Diplomacy from Scratch
Anton Bakhtin · David Wu · Adam Lerer · Noam Brown
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Dual Adaptivity: A Universal Algorithm for Minimizing the Adaptive Regret of Convex Functions
Lijun Zhang · Guanghui Wang · Wei-Wei Tu · Wei Jiang · Zhi-Hua Zhou
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
CBP: backpropagation with constraint on weight precision using a pseudo-Lagrange multiplier method
Guhyun Kim · Doo Seok Jeong
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Relaxing Local Robustness
Klas Leino · Matt Fredrikson
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Rethinking Neural Operations for Diverse Tasks
Nicholas Roberts · Mikhail Khodak · Tri Dao · Liam Li · Christopher Ré · Ameet Talwalkar
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Robust Regression Revisited: Acceleration and Improved Estimation Rates
Arun Jambulapati · Jerry Li · Tselil Schramm · Kevin Tian
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Differentiable Spline Approximations
Minsu Cho · Aditya Balu · Ameya Joshi · Anjana Deva Prasad · Biswajit Khara · Soumik Sarkar · Baskar Ganapathysubramanian · Adarsh Krishnamurthy · Chinmay Hegde
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST) @ Virtual
AugMax: Adversarial Composition of Random Augmentations for Robust Training
Haotao Wang · Chaowei Xiao · Jean Kossaifi · Zhiding Yu · Anima Anandkumar · Zhangyang Wang
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Unsupervised Object-Level Representation Learning from Scene Images
Jiahao Xie · Xiaohang Zhan · Ziwei Liu · Yew Soon Ong · Chen Change Loy
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Prior-independent Dynamic Auctions for a Value-maximizing Buyer
Yuan Deng · Hanrui Zhang
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Meta-learning with an Adaptive Task Scheduler
Huaxiu Yao · Yu Wang · Ying Wei · Peilin Zhao · Mehrdad Mahdavi · Defu Lian · Chelsea Finn
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Baby Intuitions Benchmark (BIB): Discerning the goals, preferences, and actions of others
Kanishk Gandhi · Gala Stojnic · Brenden Lake · Moira R. Dillon
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
On the Cryptographic Hardness of Learning Single Periodic Neurons
Min Jae Song · Ilias Zadik · Joan Bruna
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Direct Multi-view Multi-person 3D Pose Estimation
tao wang · Jianfeng Zhang · Yujun Cai · Shuicheng Yan · Jiashi Feng
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST) @ Virtual
Amortized Variational Inference for Simple Hierarchical Models
Abhinav Agrawal · Justin Domke
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
The Role of Global Labels in Few-Shot Classification and How to Infer Them
Ruohan Wang · Massimiliano Pontil · Carlo Ciliberto
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST) @ Virtual
Better Safe Than Sorry: Preventing Delusive Adversaries with Adversarial Training
Lue Tao · Lei Feng · Jinfeng Yi · Sheng-Jun Huang · Songcan Chen
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Lossy Compression for Lossless Prediction
Yann Dubois · Benjamin Bloem-Reddy · Karen Ullrich · Chris Maddison
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
SSMF: Shifting Seasonal Matrix Factorization
Koki Kawabata · Siddharth Bhatia · Rui Liu · Mohit Wadhwa · Bryan Hooi
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST) @ Virtual
CSDI: Conditional Score-based Diffusion Models for Probabilistic Time Series Imputation
Yusuke Tashiro · Jiaming Song · Yang Song · Stefano Ermon
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Learning Space Partitions for Path Planning
Kevin Yang · Tianjun Zhang · Chris Cummins · Brandon Cui · Benoit Steiner · Linnan Wang · Joseph Gonzalez · Dan Klein · Yuandong Tian
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Accumulative Poisoning Attacks on Real-time Data
Tianyu Pang · Xiao Yang · Yinpeng Dong · Hang Su · Jun Zhu
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Learning with Noisy Correspondence for Cross-modal Matching
Zhenyu Huang · Guocheng Niu · Xiao Liu · Wenbiao Ding · Xinyan Xiao · Hua Wu · Xi Peng
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Hamiltonian Dynamics with Non-Newtonian Momentum for Rapid Sampling
Greg Ver Steeg · Aram Galstyan
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST) @ Virtual
Goal-Aware Cross-Entropy for Multi-Target Reinforcement Learning
Kibeom Kim · Min Whoo Lee · Yoonsung Kim · JeHwan Ryu · Minsu Lee · Byoung-Tak Zhang
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Visualizing the Emergence of Intermediate Visual Patterns in DNNs
Mingjie Li · Shaobo Wang · Quanshi Zhang
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Reconstruction for Powerful Graph Representations
Leonardo Cotta · Christopher Morris · Bruno Ribeiro
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
An Efficient Transfer Learning Framework for Multiagent Reinforcement Learning
Tianpei Yang · Weixun Wang · Hongyao Tang · Jianye Hao · Zhaopeng Meng · Hangyu Mao · Dong Li · Wulong Liu · Yingfeng Chen · Yujing Hu · Changjie Fan · Chengwei Zhang
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Analysis of Sensing Spectral for Signal Recovery under a Generalized Linear Model
Junjie Ma · Ji Xu · Arian Maleki
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Novel Upper Bounds for the Constrained Most Probable Explanation Task
Tahrima Rahman · Sara Rouhani · Vibhav Gogate
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
TopicNet: Semantic Graph-Guided Topic Discovery
Zhibin Duan · Yi.shi Xu · Bo Chen · Dongsheng Wang · Chaojie Wang · Mingyuan Zhou
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
NN-Baker: A Neural-network Infused Algorithmic Framework for Optimization Problems on Geometric Intersection Graphs
Evan McCarty · Qi Zhao · Anastasios Sidiropoulos · Yusu Wang
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Profiling Pareto Front With Multi-Objective Stein Variational Gradient Descent
Xingchao Liu · Xin Tong · Qiang Liu
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
argmax centroid
Chengyue Gong · Mao Ye · Qiang Liu
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Automorphic Equivalence-aware Graph Neural Network
Fengli Xu · Quanming Yao · Pan Hui · Yong Li
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Rethinking Graph Transformers with Spectral Attention
Devin Kreuzer · Dominique Beaini · Will Hamilton · Vincent Létourneau · Prudencio Tossou
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST) @ Virtual
AC-GC: Lossy Activation Compression with Guaranteed Convergence
R David Evans · Tor Aamodt
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
XDO: A Double Oracle Algorithm for Extensive-Form Games
Stephen McAleer · JB Lanier · Kevin A Wang · Pierre Baldi · Roy Fox
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Understanding the Generalization Benefit of Model Invariance from a Data Perspective
Sicheng Zhu · Bang An · Furong Huang
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST) @ Virtual
Representer Point Selection via Local Jacobian Expansion for Post-hoc Classifier Explanation of Deep Neural Networks and Ensemble Models
Yi Sui · Ga Wu · Scott Sanner
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Amortized Synthesis of Constrained Configurations Using a Differentiable Surrogate
Xingyuan Sun · Tianju Xue · Szymon Rusinkiewicz · Ryan Adams
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST) @ Virtual
Imitating Deep Learning Dynamics via Locally Elastic Stochastic Differential Equations
Jiayao Zhang · Hua Wang · Weijie Su
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Adaptive Denoising via GainTuning
Sreyas Mohan · Joshua L Vincent · Ramon Manzorro · Peter Crozier · Carlos Fernandez-Granda · Eero Simoncelli
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Equivariant Manifold Flows
Isay Katsman · Aaron Lou · Derek Lim · Qingxuan Jiang · Ser Nam Lim · Christopher De Sa
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Iterative Teaching by Label Synthesis
Weiyang Liu · Zhen Liu · Hanchen Wang · Liam Paull · Bernhard Schölkopf · Adrian Weller
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
PLUR: A Unifying, Graph-Based View of Program Learning, Understanding, and Repair
Zimin Chen · Vincent J Hellendoorn · Pascal Lamblin · Petros Maniatis · Pierre-Antoine Manzagol · Daniel Tarlow · Subhodeep Moitra
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Understanding How Encoder-Decoder Architectures Attend
Kyle Aitken · Vinay Ramasesh · Yuan Cao · Niru Maheswaranathan
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Gradual Domain Adaptation without Indexed Intermediate Domains
Hong-You Chen · Wei-Lun Chao
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Towards Biologically Plausible Convolutional Networks
Roman Pogodin · Yash Mehta · Timothy Lillicrap · Peter E Latham
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Dynamic Neural Representational Decoders for High-Resolution Semantic Segmentation
Bowen Zhang · Yifan liu · Zhi Tian · Chunhua Shen
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Self-Supervised Learning with Kernel Dependence Maximization
Yazhe Li · Roman Pogodin · Danica J. Sutherland · Arthur Gretton
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
You Are the Best Reviewer of Your Own Papers: An Owner-Assisted Scoring Mechanism
Weijie Su
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
ByPE-VAE: Bayesian Pseudocoresets Exemplar VAE
Qingzhong Ai · LIRONG HE · SHIYU LIU · Zenglin Xu
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST) @ Virtual
Improved Transformer for High-Resolution GANs
Long Zhao · Zizhao Zhang · Ting Chen · Dimitris Metaxas · Han Zhang
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST) @ Virtual
Exponential Graph is Provably Efficient for Decentralized Deep Training
Bicheng Ying · Kun Yuan · Yiming Chen · Hanbin Hu · PAN PAN · Wotao Yin
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Delayed Propagation Transformer: A Universal Computation Engine towards Practical Control in Cyber-Physical Systems
Wenqing Zheng · Qiangqiang Guo · Hao Yang · Peihao Wang · Zhangyang Wang
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Learning Compact Representations of Neural Networks using DiscriminAtive Masking (DAM)
Jie Bu · Arka Daw · M. Maruf · Anuj Karpatne
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST) @ Virtual
Weighted model estimation for offline model-based reinforcement learning
Toru Hishinuma · Kei Senda
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Differentiable Optimization of Generalized Nondecomposable Functions using Linear Programs
Zihang Meng · Lopamudra Mukherjee · Yichao Wu · Vikas Singh · Sathya Ravi
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Remember What You Want to Forget: Algorithms for Machine Unlearning
Ayush Sekhari · Jayadev Acharya · Gautam Kamath · Ananda Theertha Suresh
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Automatic and Harmless Regularization with Constrained and Lexicographic Optimization: A Dynamic Barrier Approach
Chengyue Gong · Xingchao Liu · Qiang Liu
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Simple steps are all you need: Frank-Wolfe and generalized self-concordant functions
Alejandro Carderera · Mathieu Besançon · Sebastian Pokutta
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Residual Pathway Priors for Soft Equivariance Constraints
Marc Finzi · Gregory Benton · Andrew Wilson
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Dynamic Normalization and Relay for Video Action Recognition
Dongqi Cai · Anbang Yao · Yurong Chen
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
DeepGEM: Generalized Expectation-Maximization for Blind Inversion
Angela Gao · Jorge Castellanos · Yisong Yue · Zachary Ross · Katherine Bouman
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Training Certifiably Robust Neural Networks with Efficient Local Lipschitz Bounds
Yujia Huang · Huan Zhang · Yuanyuan Shi · J. Zico Kolter · Anima Anandkumar
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST) @ Virtual
Conservative Data Sharing for Multi-Task Offline Reinforcement Learning
Tianhe Yu · Aviral Kumar · Yevgen Chebotar · Karol Hausman · Sergey Levine · Chelsea Finn
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Information is Power: Intrinsic Control via Information Capture
Nicholas Rhinehart · Jenny Wang · Glen Berseth · John Co-Reyes · Danijar Hafner · Chelsea Finn · Sergey Levine
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Iteratively Reweighted Least Squares for Basis Pursuit with Global Linear Convergence Rate
Christian Kümmerle · Claudio Mayrink Verdun · Dominik Stöger
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST) @ Virtual
MagNet: A Neural Network for Directed Graphs
Xitong Zhang · Yixuan He · Nathan Brugnone · Michael Perlmutter · Matthew Hirn
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST) @ Virtual
On Pathologies in KL-Regularized Reinforcement Learning from Expert Demonstrations
Tim G. J. Rudner · Cong Lu · Michael A Osborne · Yarin Gal · Yee Teh
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
MADE: Exploration via Maximizing Deviation from Explored Regions
Tianjun Zhang · Paria Rashidinejad · Jiantao Jiao · Yuandong Tian · Joseph Gonzalez · Stuart Russell
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
QuPeD: Quantized Personalization via Distillation with Applications to Federated Learning
Kaan Ozkara · Navjot Singh · Deepesh Data · Suhas Diggavi
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
FMMformer: Efficient and Flexible Transformer via Decomposed Near-field and Far-field Attention
Tan Nguyen · Vai Suliafu · Stanley Osher · Long Chen · Bao Wang
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Deep Jump Learning for Off-Policy Evaluation in Continuous Treatment Settings
Hengrui Cai · Chengchun Shi · Rui Song · Wenbin Lu
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST) @ Virtual
Understanding the Effect of Stochasticity in Policy Optimization
Jincheng Mei · Bo Dai · Chenjun Xiao · Csaba Szepesvari · Dale Schuurmans
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
On Learning Domain-Invariant Representations for Transfer Learning with Multiple Sources
Trung Phung · Trung Le · Tung-Long Vuong · Toan Tran · Anh Tran · Hung Bui · Dinh Phung
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
TransGAN: Two Pure Transformers Can Make One Strong GAN, and That Can Scale Up
Yifan Jiang · Shiyu Chang · Zhangyang Wang
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Near-optimal Offline and Streaming Algorithms for Learning Non-Linear Dynamical Systems
Suhas Kowshik · Dheeraj Nagaraj · Prateek Jain · Praneeth Netrapalli
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST) @ Virtual
Fine-grained Generalization Analysis of Inductive Matrix Completion
Antoine Ledent · Rodrigo Alves · Yunwen Lei · Marius Kloft
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Learning where to learn: Gradient sparsity in meta and continual learning
Johannes von Oswald · Dominic Zhao · Seijin Kobayashi · Simon Schug · Massimo Caccia · Nicolas Zucchet · João Sacramento
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Diffusion Normalizing Flow
Qinsheng Zhang · Yongxin Chen
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST) @ Virtual
Multi-Person 3D Motion Prediction with Multi-Range Transformers
Jiashun Wang · Huazhe Xu · Medhini Narasimhan · Xiaolong Wang
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST) @ Virtual
Excess Capacity and Backdoor Poisoning
Naren Manoj · Avrim Blum
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST) @ Virtual
Flow Network based Generative Models for Non-Iterative Diverse Candidate Generation
Emmanuel Bengio · Moksh Jain · Maksym Korablyov · Doina Precup · Yoshua Bengio
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Learning Frequency Domain Approximation for Binary Neural Networks
Yixing Xu · Kai Han · Chang Xu · Yehui Tang · Chunjing XU · Yunhe Wang
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Functional Neural Networks for Parametric Image Restoration Problems
Fangzhou Luo · Xiaolin Wu · Yanhui Guo
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST) @ Virtual
Deceive D: Adaptive Pseudo Augmentation for GAN Training with Limited Data
Liming Jiang · Bo Dai · Wayne Wu · Chen Change Loy
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Particle Cloud Generation with Message Passing Generative Adversarial Networks
Raghav Kansal · Javier Duarte · Hao Su · Breno Orzari · Thiago Tomei · Maurizio Pierini · Mary Touranakou · jean-roch vlimant · Dimitrios Gunopulos
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Faster Matchings via Learned Duals
Michael Dinitz · Sungjin Im · Thomas Lavastida · Benjamin Moseley · Sergei Vassilvitskii
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Low-Rank Constraints for Fast Inference in Structured Models
Justin Chiu · Yuntian Deng · Alexander Rush
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Regime Switching Bandits
Xiang Zhou · Yi Xiong · Ningyuan Chen · Xuefeng GAO
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Discovery of Options via Meta-Learned Subgoals
Vivek Veeriah · Tom Zahavy · Matteo Hessel · Zhongwen Xu · Junhyuk Oh · Iurii Kemaev · Hado van Hasselt · David Silver · Satinder Singh
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Open-set Label Noise Can Improve Robustness Against Inherent Label Noise
Hongxin Wei · Lue Tao · RENCHUNZI XIE · Bo An
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
An Improved Analysis of Gradient Tracking for Decentralized Machine Learning
Anastasiia Koloskova · Tao Lin · Sebastian Stich
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
A Faster Decentralized Algorithm for Nonconvex Minimax Problems
Wenhan Xian · Feihu Huang · Yanfu Zhang · Heng Huang
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
MOMA: Multi-Object Multi-Actor Activity Parsing
Zelun Luo · Wanze Xie · Siddharth Kapoor · Yiyun Liang · Michael Cooper · Juan Carlos Niebles · Ehsan Adeli · Fei-Fei Li
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
A Theory-Driven Self-Labeling Refinement Method for Contrastive Representation Learning
Pan Zhou · Caiming Xiong · Xiaotong Yuan · Steven Chu Hong Hoi
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST) @ Virtual
Choose a Transformer: Fourier or Galerkin
Shuhao Cao
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Differentiable Spike: Rethinking Gradient-Descent for Training Spiking Neural Networks
Yuhang Li · Yufei Guo · Shanghang Zhang · Shikuang Deng · Yongqing Hai · Shi Gu
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Learning State Representations from Random Deep Action-conditional Predictions
Zeyu Zheng · Vivek Veeriah · Risto Vuorio · Richard L Lewis · Satinder Singh
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Reverse engineering learned optimizers reveals known and novel mechanisms
Niru Maheswaranathan · David Sussillo · Luke Metz · Ruoxi Sun · Jascha Sohl-Dickstein
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Convergence Rates of Stochastic Gradient Descent under Infinite Noise Variance
Hongjian Wang · Mert Gurbuzbalaban · Lingjiong Zhu · Umut Simsekli · Murat Erdogdu
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Few-Shot Data-Driven Algorithms for Low Rank Approximation
Piotr Indyk · Tal Wagner · David Woodruff
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Deep Residual Learning in Spiking Neural Networks
Wei Fang · Zhaofei Yu · Yanqi Chen · Tiejun Huang · Timothée Masquelier · Yonghong Tian
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
List-Decodable Mean Estimation in Nearly-PCA Time
Ilias Diakonikolas · Daniel Kane · Daniel Kongsgaard · Jerry Li · Kevin Tian
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Unsupervised Foreground Extraction via Deep Region Competition
Peiyu Yu · Sirui Xie · Xiaojian (Shawn) Ma · Yixin Zhu · Ying Nian Wu · Song-Chun Zhu
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Confidence-Aware Imitation Learning from Demonstrations with Varying Optimality
Songyuan Zhang · ZHANGJIE CAO · Dorsa Sadigh · Yanan Sui
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST) @ Virtual
The Emergence of Objectness: Learning Zero-shot Segmentation from Videos
Runtao Liu · Zhirong Wu · Stella Yu · Stephen Lin
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Augmented Shortcuts for Vision Transformers
Yehui Tang · Kai Han · Chang Xu · An Xiao · Yiping Deng · Chao Xu · Yunhe Wang
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Exploring Architectural Ingredients of Adversarially Robust Deep Neural Networks
Hanxun Huang · Yisen Wang · Sarah Erfani · Quanquan Gu · James Bailey · Xingjun Ma
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Pay Attention to MLPs
Hanxiao Liu · Zihang Dai · David So · Quoc V Le
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Stateful Strategic Regression
Keegan Harris · Hoda Heidari · Steven Wu
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
How Data Augmentation affects Optimization for Linear Regression
Boris Hanin · Yi Sun
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Motif-based Graph Self-Supervised Learning for Molecular Property Prediction
ZAIXI ZHANG · Qi Liu · Hao Wang · Chengqiang Lu · Chee-Kong Lee
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Limiting fluctuation and trajectorial stability of multilayer neural networks with mean field training
Huy Tuan Pham · Phan-Minh Nguyen
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Robust Auction Design in the Auto-bidding World
Santiago Balseiro · Yuan Deng · Jieming Mao · Vahab Mirrokni · Song Zuo
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Rethinking conditional GAN training: An approach using geometrically structured latent manifolds
Sameera Ramasinghe · Moshiur Farazi · Salman H Khan · Nick Barnes · Stephen Gould
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST) @ Virtual
Do Transformers Really Perform Badly for Graph Representation?
Chengxuan Ying · Tianle Cai · Shengjie Luo · Shuxin Zheng · Guolin Ke · Di He · Yanming Shen · Tie-Yan Liu
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Curriculum Learning for Vision-and-Language Navigation
Jiwen Zhang · zhongyu wei · Jianqing Fan · Jiajie Peng
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Neo-GNNs: Neighborhood Overlap-aware Graph Neural Networks for Link Prediction
Seongjun Yun · Seoyoon Kim · Junhyun Lee · Jaewoo Kang · Hyunwoo Kim
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Nearly Horizon-Free Offline Reinforcement Learning
Tongzheng Ren · Jialian Li · Bo Dai · Simon Du · Sujay Sanghavi
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
SSUL: Semantic Segmentation with Unknown Label for Exemplar-based Class-Incremental Learning
Sungmin Cha · beomyoung kim · YoungJoon Yoo · Taesup Moon
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
On Interaction Between Augmentations and Corruptions in Natural Corruption Robustness
Eric Mintun · Alexander Kirillov · Saining Xie
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST) @ Virtual
Predicting Event Memorability from Contextual Visual Semantics
Qianli Xu · Fen Fang · Ana Molino · Vigneshwaran Subbaraju · Joo-Hwee Lim
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST) @ Virtual
Symbolic Regression via Deep Reinforcement Learning Enhanced Genetic Programming Seeding
Terrell Mundhenk · Mikel Landajuela · Ruben Glatt · Claudio P Santiago · Daniel faissol · Brenden K Petersen
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Unsupervised Domain Adaptation with Dynamics-Aware Rewards in Reinforcement Learning
Jinxin Liu · Hao Shen · Donglin Wang · Yachen Kang · Qiangxing Tian
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST) @ Virtual
Co-Adaptation of Algorithmic and Implementational Innovations in Inference-based Deep Reinforcement Learning
Hiroki Furuta · Tadashi Kozuno · Tatsuya Matsushima · Yutaka Matsuo · Shixiang (Shane) Gu
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Policy Optimization in Adversarial MDPs: Improved Exploration via Dilated Bonuses
Haipeng Luo · Chen-Yu Wei · Chung-Wei Lee
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Evaluating State-of-the-Art Classification Models Against Bayes Optimality
Ryan Theisen · Huan Wang · Lav Varshney · Caiming Xiong · Richard Socher
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Exploring Forensic Dental Identification with Deep Learning
Yuan Liang · Weikun Han · Liang Qiu · Chen Wu · Yiting Shao · Kun Wang · Lei He
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Improving Visual Quality of Image Synthesis by A Token-based Generator with Transformers
Yanhong Zeng · Huan Yang · Hongyang Chao · Jianbo Wang · Jianlong Fu
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Generalized DataWeighting via Class-Level Gradient Manipulation
Can Chen · Shuhao Zheng · Xi Chen · Erqun Dong · Xue (Steve) Liu · Hao Liu · Dejing Dou
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Subgroup Generalization and Fairness of Graph Neural Networks
Jiaqi Ma · Junwei Deng · Qiaozhu Mei
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Quantifying and Improving Transferability in Domain Generalization
Guojun Zhang · Han Zhao · Yaoliang Yu · Pascal Poupart
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Understanding the Under-Coverage Bias in Uncertainty Estimation
Yu Bai · Song Mei · Huan Wang · Caiming Xiong
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Unifying lower bounds on prediction dimension of convex surrogates
Jessica Finocchiaro · Rafael Frongillo · Bo Waggoner
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST)
Representation Learning on Spatial Networks
Zheng Zhang · Liang Zhao
Poster
Tue Dec 07 04:30 PM -- 06:00 PM (PST) @ Virtual
Self-Supervised Multi-Object Tracking with Cross-input Consistency
Favyen Bastani · Songtao He · Samuel Madden
Invited Talk (Breiman Lecture)
Tue Dec 07 11:00 PM -- 12:30 AM (PST)
Do We Know How to Estimate the Mean?
Gabor Lugosi
Datasets and Benchmarks
Wed Dec 08 12:00 AM -- 02:00 AM (PST) @ Virtual
Dataset and Benchmark Poster Session 2
Joaquin Vanschoren · Serena Yeung
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Post-Training Quantization for Vision Transformer
Zhenhua Liu · Yunhe Wang · Kai Han · Wei Zhang · Siwei Ma · Wen Gao
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Neural Dubber: Dubbing for Videos According to Scripts
Chenxu Hu · Qiao Tian · Tingle Li · Wang Yuping · Yuxuan Wang · Hang Zhao
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Training Neural Networks is ER-complete
Mikkel Abrahamsen · Linda Kleist · Tillmann Miltzow
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Regularized Softmax Deep Multi-Agent Q-Learning
Ling Pan · Tabish Rashid · Bei Peng · Longbo Huang · Shimon Whiteson
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
BlendGAN: Implicitly GAN Blending for Arbitrary Stylized Face Generation
Mingcong Liu · Qiang Li · Zekui Qin · Guoxin Zhang · Pengfei Wan · Wen Zheng
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Improving Deep Learning Interpretability by Saliency Guided Training
Aya Abdelsalam Ismail · Hector Corrada Bravo · Soheil Feizi
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Transformer in Transformer
Kai Han · An Xiao · Enhua Wu · Jianyuan Guo · Chunjing XU · Yunhe Wang
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Unfolding Taylor's Approximations for Image Restoration
man zhou · Xueyang Fu · Zeyu Xiao · Gang Yang · Aiping Liu · Zhiwei Xiong
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Dynamic Grained Encoder for Vision Transformers
Lin Song · Songyang Zhang · Songtao Liu · Zeming Li · Xuming He · Hongbin Sun · Jian Sun · Nanning Zheng
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
DynamicViT: Efficient Vision Transformers with Dynamic Token Sparsification
Yongming Rao · Wenliang Zhao · Benlin Liu · Jiwen Lu · Jie Zhou · Cho-Jui Hsieh
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
BCORLE($\lambda$): An Offline Reinforcement Learning and Evaluation Framework for Coupons Allocation in E-commerce Market
Yang Zhang · Bo Tang · Qingyu Yang · Dou An · Hongyin Tang · Chenyang Xi · Xueying LI · Feiyu Xiong
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
DP-SSL: Towards Robust Semi-supervised Learning with A Few Labeled Samples
Yi Xu · Jiandong Ding · Lu Zhang · Shuigeng Zhou
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
A PAC-Bayes Analysis of Adversarial Robustness
Paul Viallard · Eric Guillaume VIDOT · Amaury Habrard · Emilie Morvant
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
GradInit: Learning to Initialize Neural Networks for Stable and Efficient Training
Chen Zhu · Renkun Ni · Zheng Xu · Kezhi Kong · W. Ronny Huang · Tom Goldstein
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Variational Bayesian Reinforcement Learning with Regret Bounds
Brendan O'Donoghue
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
General Low-rank Matrix Optimization: Geometric Analysis and Sharper Bounds
Haixiang Zhang · Yingjie Bi · Javad Lavaei
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Towards Stable and Robust AdderNets
Minjing Dong · Yunhe Wang · Xinghao Chen · Chang Xu
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
OctField: Hierarchical Implicit Functions for 3D Modeling
Jia-Heng Tang · Weikai Chen · jie Yang · Bo Wang · Songrun Liu · Bo Yang · Lin Gao
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Neural Routing by Memory
Kaipeng Zhang · Zhenqiang Li · Zhifeng Li · Wei Liu · Yoichi Sato
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
Regularized Frank-Wolfe for Dense CRFs: Generalizing Mean Field and Beyond
Đ.Khuê Lê-Huu · Karteek Alahari
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
You Only Look at One Sequence: Rethinking Transformer in Vision through Object Detection
Yuxin Fang · Bencheng Liao · Xinggang Wang · Jiemin Fang · Jiyang Qi · Rui Wu · Jianwei Niu · Wenyu Liu
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Online Learning Of Neural Computations From Sparse Temporal Feedback
Lukas Braun · Tim Vogels
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
SAPE: Spatially-Adaptive Progressive Encoding for Neural Optimization
Amir Hertz · Or Perel · Raja Giryes · Olga Sorkine-hornung · Daniel Cohen-or
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
Uncertainty Quantification and Deep Ensembles
Rahul Rahaman · alexandre thiery
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Learning Debiased and Disentangled Representations for Semantic Segmentation
Sanghyeok Chu · Dongwan Kim · Bohyung Han
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
Neural Relightable Participating Media Rendering
Quan Zheng · Gurprit Singh · Hans-peter Seidel
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Not All Images are Worth 16x16 Words: Dynamic Transformers for Efficient Image Recognition
Yulin Wang · Rui Huang · Shiji Song · Zeyi Huang · Gao Huang
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
Video Instance Segmentation using Inter-Frame Communication Transformers
Sukjun Hwang · Miran Heo · Seoung Wug Oh · Seon Joo Kim
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Flattening Sharpness for Dynamic Gradient Projection Memory Benefits Continual Learning
Danruo DENG · Guangyong Chen · Jianye Hao · Qiong Wang · Pheng-Ann Heng
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Learning Transferable Adversarial Perturbations
Krishna kanth Nakka · Mathieu Salzmann
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
FINE Samples for Learning with Noisy Labels
Taehyeon Kim · Jongwoo Ko · sangwook Cho · JinHwan Choi · Se-Young Yun
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Prototypical Cross-Attention Networks for Multiple Object Tracking and Segmentation
Lei Ke · Xia Li · Martin Danelljan · Yu-Wing Tai · Chi-Keung Tang · Fisher Yu
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
Integrating Expert ODEs into Neural ODEs: Pharmacology and Disease Progression
Zhaozhi Qian · William Zame · Lucas Fleuren · Paul Elbers · Mihaela van der Schaar
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Topology-Imbalance Learning for Semi-Supervised Node Classification
Deli Chen · Yankai Lin · Guangxiang Zhao · Xuancheng Ren · Peng Li · Jie Zhou · Xu Sun
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
VoiceMixer: Adversarial Voice Style Mixup
Sang-Hoon Lee · Ji-Hoon Kim · Hyunseung Chung · Seong-Whan Lee
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Sparse Steerable Convolutions: An Efficient Learning of SE(3)-Equivariant Features for Estimation and Tracking of Object Poses in 3D Space
Jiehong Lin · Hongyang Li · Ke Chen · Jiangbo Lu · Kui Jia
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
Invertible Tabular GANs: Killing Two Birds with One Stone for Tabular Data Synthesis
JAEHOON LEE · Jihyeon Hyeong · Jinsung Jeon · Noseong Park · Jihoon Cho
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Non-approximate Inference for Collective Graphical Models on Path Graphs via Discrete Difference of Convex Algorithm
Yasunori Akagi · Naoki Marumo · Hideaki Kim · Takeshi Kurashima · Hiroyuki Toda
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Deep Molecular Representation Learning via Fusing Physical and Chemical Information
shuwen yang · Ziyao Li · Guojie Song · Lingsheng Cai
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Convex Polytope Trees
Mohammadreza Armandpour · Ali Sadeghian · Mingyuan Zhou
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Landmark-RxR: Solving Vision-and-Language Navigation with Fine-Grained Alignment Supervision
Keji He · Yan Huang · Qi Wu · Jianhua Yang · Dong An · Shuanglin Sima · Liang Wang
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Multimodal and Multilingual Embeddings for Large-Scale Speech Mining
Paul-Ambroise Duquenne · Hongyu Gong · Holger Schwenk
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Learning Nonparametric Volterra Kernels with Gaussian Processes
Magnus Ross · Michael T Smith · Mauricio Álvarez
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
Compacter: Efficient Low-Rank Hypercomplex Adapter Layers
Rabeeh Karimi Mahabadi · James Henderson · Sebastian Ruder
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Fast Axiomatic Attribution for Neural Networks
Robin Hesse · Simone Schaub-Meyer · Stefan Roth
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Stable, Fast and Accurate: Kernelized Attention with Relative Positional Encoding
Shengjie Luo · Shanda Li · Tianle Cai · Di He · Dinglan Peng · Shuxin Zheng · Guolin Ke · Liwei Wang · Tie-Yan Liu
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
TacticZero: Learning to Prove Theorems from Scratch with Deep Reinforcement Learning
Minchao Wu · Michael Norrish · Christian Walder · Amir Dezfouli
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Mixed Supervised Object Detection by Transferring Mask Prior and Semantic Similarity
Yan Liu · Zhijie Zhang · Li Niu · Junjie Chen · Liqing Zhang
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
DualNet: Continual Learning, Fast and Slow
Quang Pham · Chenghao Liu · Steven Hoi
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Learning to Simulate Self-driven Particles System with Coordinated Policy Optimization
Zhenghao Peng · Quanyi Li · Ka Ming Hui · Chunxiao Liu · Bolei Zhou
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
A Mathematical Framework for Quantifying Transferability in Multi-source Transfer Learning
Xinyi Tong · Xiangxiang Xu · Shao-Lun Huang · Lizhong Zheng
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
A single gradient step finds adversarial examples on random two-layers neural networks
Sebastien Bubeck · Yeshwanth Cherapanamjeri · Gauthier Gidel · Remi Tachet des Combes
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Self-Supervised GANs with Label Augmentation
Liang Hou · Huawei Shen · Qi Cao · Xueqi Cheng
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
Linear Convergence of Gradient Methods for Estimating Structured Transition Matrices in High-dimensional Vector Autoregressive Models
Xiao Lv · Wei Cui · Yulong Liu
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Efficient Equivariant Network
Lingshen He · Yuxuan Chen · zhengyang shen · Yiming Dong · Yisen Wang · Zhouchen Lin
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Word2Fun: Modelling Words as Functions for Diachronic Word Representation
Benyou Wang · Emanuele Di Buccio · Massimo Melucci
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
A Trainable Spectral-Spatial Sparse Coding Model for Hyperspectral Image Restoration
Theo Bodrito · Alexandre Zouaoui · Jocelyn Chanussot · Julien Mairal
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
RIM: Reliable Influence-based Active Learning on Graphs
Wentao Zhang · Yexin Wang · Zhenbang You · Meng Cao · Ping Huang · Jiulong Shan · Zhi Yang · Bin CUI
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Natural continual learning: success is a journey, not (just) a destination
Ta-Chu Kao · Kristopher Jensen · Gido van de Ven · Alberto Bernacchia · Guillaume Hennequin
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Mitigating Forgetting in Online Continual Learning with Neuron Calibration
Haiyan Yin · peng yang · Ping Li
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Combating Noise: Semi-supervised Learning by Region Uncertainty Quantification
Zhenyu Wang · Ya-Li Li · Ye Guo · Shengjin Wang
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
Coarse-to-fine Animal Pose and Shape Estimation
Chen Li · Gim Hee Lee
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Efficient Training of Visual Transformers with Small Datasets
Yahui Liu · Enver Sangineto · Wei Bi · Nicu Sebe · Bruno Lepri · Marco Nadai
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
Learning Collaborative Policies to Solve NP-hard Routing Problems
Minsu Kim · Jinkyoo Park · joungho kim
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
Fast Abductive Learning by Similarity-based Consistency Optimization
Yu-Xuan Huang · Wang-Zhou Dai · Le-Wen Cai · Stephen H Muggleton · Yuan Jiang
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Implicit Deep Adaptive Design: Policy-Based Experimental Design without Likelihoods
Desi R Ivanova · Adam Foster · Steven Kleinegesse · Michael Gutmann · Thomas Rainforth
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Garment4D: Garment Reconstruction from Point Cloud Sequences
Fangzhou Hong · Liang Pan · Zhongang Cai · Ziwei Liu
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
Learnability of Linear Thresholds from Label Proportions
Rishi Saket
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
What Matters for Adversarial Imitation Learning?
Manu Orsini · Anton Raichuk · Leonard Hussenot · Damien Vincent · Robert Dadashi · Sertan Girgin · Matthieu Geist · Olivier Bachem · Olivier Pietquin · Marcin Andrychowicz
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Contrastive Laplacian Eigenmaps
Hao Zhu · Ke Sun · Peter Koniusz
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
CoFiNet: Reliable Coarse-to-fine Correspondences for Robust PointCloud Registration
Hao Yu · Fu Li · Mahdi Saleh · Benjamin Busam · Slobodan Ilic
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Metropolis-Hastings Data Augmentation for Graph Neural Networks
Hyeonjin Park · Seunghun Lee · Sihyeon Kim · Jinyoung Park · Jisu Jeong · Kyung-Min Kim · Jung-Woo Ha · Hyunwoo Kim
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Robust Pose Estimation in Crowded Scenes with Direct Pose-Level Inference
Dongkai Wang · Shiliang Zhang · Gang Hua
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
A Framework to Learn with Interpretation
Jayneel Parekh · Pavlo Mozharovskyi · Florence d'Alché-Buc
[ Slides
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Implicit MLE: Backpropagating Through Discrete Exponential Family Distributions
Mathias Niepert · Pasquale Minervini · Luca Franceschi
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
Learning Conjoint Attentions for Graph Neural Nets
Tiantian He · Yew Soon Ong · L Bai
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Alignment Attention by Matching Key and Query Distributions
Shujian Zhang · Xinjie Fan · Huangjie Zheng · Korawat Tanwisuth · Mingyuan Zhou
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Locally Most Powerful Bayesian Test for Out-of-Distribution Detection using Deep Generative Models
Keunseo Kim · JunCheol Shin · Heeyoung Kim
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Instance-Dependent Bounds for Zeroth-order Lipschitz Optimization with Error Certificates
Francois Bachoc · Tom Cesari · Sébastien Gerchinovitz
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
PolarStream: Streaming Object Detection and Segmentation with Polar Pillars
Qi Chen · Sourabh Vora · Oscar Beijbom
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Distilling Robust and Non-Robust Features in Adversarial Examples by Information Bottleneck
Junho Kim · Byung-Kwan Lee · Yong Man Ro
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Deep learning is adaptive to intrinsic dimensionality of model smoothness in anisotropic Besov space
Taiji Suzuki · Atsushi Nitanda
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Pareto Domain Adaptation
fangrui lv · Jian Liang · Kaixiong Gong · Shuang Li · Chi Harold Liu · Han Li · Di Liu · Guoren Wang
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
Accurately Solving Rod Dynamics with Graph Learning
Han Shao · Tassilo Kugelstadt · Torsten Hädrich · Wojtek Palubicki · Jan Bender · Soeren Pirk · Dominik L Michels
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Sparsely Changing Latent States for Prediction and Planning in Partially Observable Domains
Christian Gumbsch · Martin V. Butz · Georg Martius
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
Policy Learning Using Weak Supervision
Jingkang Wang · Hongyi Guo · Zhaowei Zhu · Yang Liu
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Rate-Optimal Subspace Estimation on Random Graphs
Zhixin Zhou · Fan Zhou · Ping Li · Cun-Hui Zhang
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
On Optimal Interpolation in Linear Regression
Eduard Oravkin · Patrick Rebeschini
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Instance-Dependent Partial Label Learning
Ning Xu · Congyu Qiao · Xin Geng · Min-Ling Zhang
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Rethinking and Reweighting the Univariate Losses for Multi-Label Ranking: Consistency and Generalization
Guoqiang Wu · Chongxuan LI · Kun Xu · Jun Zhu
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Unsupervised Representation Transfer for Small Networks: I Believe I Can Distill On-the-Fly
Hee Min Choi · Hyoa Kang · Dokwan Oh
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Credal Self-Supervised Learning
Julian Lienen · Eyke Hüllermeier
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Lower Bounds and Optimal Algorithms for Smooth and Strongly Convex Decentralized Optimization Over Time-Varying Networks
Dmitry Kovalev · Elnur Gasanov · Alexander Gasnikov · Peter Richtarik
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Greedy and Random Quasi-Newton Methods with Faster Explicit Superlinear Convergence
Dachao Lin · Haishan Ye · Zhihua Zhang
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Predicting Molecular Conformation via Dynamic Graph Score Matching
Shitong Luo · Chence Shi · Minkai Xu · Jian Tang
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
DeepReduce: A Sparse-tensor Communication Framework for Federated Deep Learning
Hang Xu · Kelly Kostopoulou · Aritra Dutta · Xin Li · Alexandros Ntoulas · Panos Kalnis
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
Hard-Attention for Scalable Image Classification
Athanasios Papadopoulos · Pawel Korus · Nasir Memon
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Object-Aware Regularization for Addressing Causal Confusion in Imitation Learning
Jongjin Park · Younggyo Seo · Chang Liu · Li Zhao · Tao Qin · Jinwoo Shin · Tie-Yan Liu
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Structured Dropout Variational Inference for Bayesian Neural Networks
Son Nguyen · Duong Nguyen · Khai Nguyen · Khoat Than · Hung Bui · Nhat Ho
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Posterior Meta-Replay for Continual Learning
Christian Henning · Maria Cervera · Francesco D'Angelo · Johannes von Oswald · Regina Traber · Benjamin Ehret · Seijin Kobayashi · Benjamin F. Grewe · João Sacramento
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
All Tokens Matter: Token Labeling for Training Better Vision Transformers
Zi-Hang Jiang · Qibin Hou · Li Yuan · Daquan Zhou · Yujun Shi · Xiaojie Jin · Anran Wang · Jiashi Feng
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
Neighborhood Reconstructing Autoencoders
Yonghyeon LEE · Hyeokjun Kwon · Frank Park
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Generalized and Discriminative Few-Shot Object Detection via SVD-Dictionary Enhancement
Aming WU · Suqi Zhao · Cheng Deng · Wei Liu
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
Probabilistic Entity Representation Model for Reasoning over Knowledge Graphs
Nurendra Choudhary · Nikhil Rao · Sumeet Katariya · Karthik Subbian · Chandan Reddy
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Generative vs. Discriminative: Rethinking The Meta-Continual Learning
Mohammadamin Banayeeanzade · Rasoul Mirzaiezadeh · Hosein Hasani · Mahdieh Soleymani
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Discovering Dynamic Salient Regions for Spatio-Temporal Graph Neural Networks
Iulia Duta · Andrei Nicolicioiu · Marius Leordeanu
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
A 3D Generative Model for Structure-Based Drug Design
Shitong Luo · Jiaqi Guan · Jianzhu Ma · Jian Peng
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Reliable Estimation of KL Divergence using a Discriminator in Reproducing Kernel Hilbert Space
Sandesh Ghimire · Aria Masoomi · Jennifer Dy
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Batch Normalization Orthogonalizes Representations in Deep Random Networks
Hadi Daneshmand · Amir Joudaki · Francis Bach
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
SPANN: Highly-efficient Billion-scale Approximate Nearest Neighborhood Search
Qi Chen · Bing Zhao · Haidong Wang · Mingqin Li · Chuanjie Liu · Zengzhong Li · Mao Yang · Jingdong Wang
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Dynamic Sasvi: Strong Safe Screening for Norm-Regularized Least Squares
Hiroaki Yamada · Makoto Yamada
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
A/B/n Testing with Control in the Presence of Subpopulations
Yoan Russac · Christina Katsimerou · Dennis Bohle · Olivier Cappé · Aurélien Garivier · Wouter Koolen
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
No-regret Online Learning over Riemannian Manifolds
Xi Wang · Zhipeng Tu · Yiguang Hong · Yingyi Wu · Guodong Shi
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Learning High-Precision Bounding Box for Rotated Object Detection via Kullback-Leibler Divergence
Xue Yang · Xiaojiang Yang · Jirui Yang · Qi Ming · Wentao Wang · Qi Tian · Junchi Yan
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
Scalable Rule-Based Representation Learning for Interpretable Classification
Zhuo Wang · Wei Zhang · Ning Liu · Jianyong Wang
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Rank Overspecified Robust Matrix Recovery: Subgradient Method and Exact Recovery
Lijun Ding · Liwei Jiang · Yudong Chen · Qing Qu · Zhihui Zhu
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
On Robust Optimal Transport: Computational Complexity and Barycenter Computation
Khang Le · Huy Nguyen · Quang M Nguyen · Tung Pham · Hung Bui · Nhat Ho
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Learning to Execute: Efficient Learning of Universal Plan-Conditioned Policies in Robotics
Ingmar Schubert · Danny Driess · Ozgur S. Oguz · Marc Toussaint
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Contextual Similarity Aggregation with Self-attention for Visual Re-ranking
Jianbo Ouyang · Hui Wu · Min Wang · Wengang Zhou · Houqiang Li
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Mastering Atari Games with Limited Data
Weirui Ye · Shaohuai Liu · Thanard Kurutach · Pieter Abbeel · Yang Gao
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
Learning Causal Semantic Representation for Out-of-Distribution Prediction
Chang Liu · Xinwei Sun · Jindong Wang · Haoyue Tang · Tao Li · Tao Qin · Wei Chen · Tie-Yan Liu
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Duplex Sequence-to-Sequence Learning for Reversible Machine Translation
Zaixiang Zheng · Hao Zhou · Shujian Huang · Jiajun Chen · Jingjing Xu · Lei Li
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Bridging Explicit and Implicit Deep Generative Models via Neural Stein Estimators
Qitian Wu · Rui Gao · Hongyuan Zha
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Align before Fuse: Vision and Language Representation Learning with Momentum Distillation
Junnan Li · Ramprasaath Selvaraju · Akhilesh Gotmare · Shafiq Joty · Caiming Xiong · Steven Chu Hong Hoi
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
Exploiting Domain-Specific Features to Enhance Domain Generalization
Manh-Ha Bui · Toan Tran · Anh Tran · Dinh Phung
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Capturing implicit hierarchical structure in 3D biomedical images with self-supervised hyperbolic representations
Joy Hsu · Jeffrey Gu · Gong Wu · Wah Chiu · Serena Yeung
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Learning Riemannian metric for disease progression modeling
Samuel Gruffaz · Pierre-Emmanuel Poulet · Etienne Maheux · Bruno Jedynak · Stanley DURRLEMAN
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Celebrating Diversity in Shared Multi-Agent Reinforcement Learning
Chenghao Li · Tonghan Wang · Chengjie Wu · Qianchuan Zhao · Jun Yang · Chongjie Zhang
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Node Dependent Local Smoothing for Scalable Graph Learning
Wentao Zhang · Mingyu Yang · Zeang Sheng · Yang Li · Wen Ouyang · Yangyu Tao · Zhi Yang · Bin CUI
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
Distilling Object Detectors with Feature Richness
Du Zhixing · Rui Zhang · Ming Chang · xishan zhang · Shaoli Liu · Tianshi Chen · Yunji Chen
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Mining the Benefits of Two-stage and One-stage HOI Detection
Aixi Zhang · Yue Liao · Si Liu · Miao Lu · Yongliang Wang · Chen Gao · XIAOBO LI
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Probabilistic Margins for Instance Reweighting in Adversarial Training
qizhou wang · Feng Liu · Bo Han · Tongliang Liu · Chen Gong · Gang Niu · Mingyuan Zhou · Masashi Sugiyama
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Provably Efficient Black-Box Action Poisoning Attacks Against Reinforcement Learning
Guanlin Liu · Lifeng LAI
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Neural Additive Models: Interpretable Machine Learning with Neural Nets
Rishabh Agarwal · Levi Melnick · Nicholas Frosst · Xuezhou Zhang · Ben Lengerich · Rich Caruana · Geoffrey Hinton
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
Modality-Agnostic Topology Aware Localization
Farhad Ghazvinian Zanjani · Ilia Karmanov · Hanno Ackermann · Daniel Dijkman · Simone Merlin · Max Welling · Fatih Porikli
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
Shape your Space: A Gaussian Mixture Regularization Approach to Deterministic Autoencoders
Amrutha Saseendran · Kathrin Skubch · Stefan Falkner · Margret Keuper
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Searching Parameterized AP Loss for Object Detection
Tao Chenxin · Zizhang Li · Xizhou Zhu · Gao Huang · Yong Liu · jifeng dai
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
LADA: Look-Ahead Data Acquisition via Augmentation for Deep Active Learning
Yoon-Yeong Kim · Kyungwoo Song · JoonHo Jang · Il-chul Moon
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Continual World: A Robotic Benchmark For Continual Reinforcement Learning
Maciej Wołczyk · Michał Zając · Razvan Pascanu · Łukasz Kuciński · Piotr Miłoś
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Adaptive First-Order Methods Revisited: Convex Minimization without Lipschitz Requirements
Kimon Antonakopoulos · Panayotis Mertikopoulos
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Physics-Aware Downsampling with Deep Learning for Scalable Flood Modeling
Niv Giladi · Zvika Ben-Haim · Sella Nevo · Yossi Matias · Daniel Soudry
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Parametrized Quantum Policies for Reinforcement Learning
Sofiene Jerbi · Casper Gyurik · Simon Marshall · Hans Briegel · Vedran Dunjko
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
AFEC: Active Forgetting of Negative Transfer in Continual Learning
Liyuan Wang · Mingtian Zhang · Zhongfan Jia · Qian Li · Chenglong Bao · Kaisheng Ma · Jun Zhu · Yi Zhong
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
IQ-Learn: Inverse soft-Q Learning for Imitation
Divyansh Garg · Shuvam Chakraborty · Chris Cundy · Jiaming Song · Stefano Ermon
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
On Joint Learning for Solving Placement and Routing in Chip Design
Ruoyu Cheng · Junchi Yan
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
STEP: Out-of-Distribution Detection in the Presence of Limited In-Distribution Labeled Data
Zhi Zhou · Lan-Zhe Guo · Zhanzhan Cheng · Yu-Feng Li · Shiliang Pu
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Tracking People with 3D Representations
Jathushan Rajasegaran · Georgios Pavlakos · Angjoo Kanazawa · Jitendra Malik
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Generalization Bounds for Graph Embedding Using Negative Sampling: Linear vs Hyperbolic
Atsushi Suzuki · Atsushi Nitanda · jing wang · Linchuan Xu · Kenji Yamanishi · Marc Cavazza
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
Few-Shot Object Detection via Association and DIscrimination
Yuhang Cao · Jiaqi Wang · Ying Jin · Tong Wu · Kai Chen · Ziwei Liu · Dahua Lin
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Labeling Trick: A Theory of Using Graph Neural Networks for Multi-Node Representation Learning
Muhan Zhang · Pan Li · Yinglong Xia · Kai Wang · Long Jin
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
MixACM: Mixup-Based Robustness Transfer via Distillation of Activated Channel Maps
Awais Muhammad · Fengwei Zhou · Chuanlong Xie · Jiawei Li · Sung-Ho Bae · Zhenguo Li
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
On the Convergence of Step Decay Step-Size for Stochastic Optimization
Xiaoyu Wang · Sindri Magnússon · Mikael Johansson
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Two steps to risk sensitivity
Christopher Gagne · Peter Dayan
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Unbalanced Optimal Transport through Non-negative Penalized Linear Regression
Laetitia Chapel · Rémi Flamary · Haoran Wu · Cédric Févotte · Gilles Gasso
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Smooth Bilevel Programming for Sparse Regularization
Clarice Poon · Gabriel Peyré
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Dual-stream Network for Visual Recognition
Mingyuan Mao · peng gao · Renrui Zhang · Honghui Zheng · Teli Ma · Yan Peng · Errui Ding · Baochang Zhang · Shumin Han
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Handling Long-tailed Feature Distribution in AdderNets
Minjing Dong · Yunhe Wang · Xinghao Chen · Chang Xu
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
BAST: Bayesian Additive Regression Spanning Trees for Complex Constrained Domain
Zhao Tang Luo · Huiyan Sang · Bani Mallick
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
Action-guided 3D Human Motion Prediction
Jiangxin Sun · Zihang Lin · Xintong Han · Jian-Fang Hu · Jia Xu · Wei-Shi Zheng
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
RETRIEVE: Coreset Selection for Efficient and Robust Semi-Supervised Learning
Krishnateja Killamsetty · Xujiang Zhao · Feng Chen · Rishabh Iyer
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Provable Guarantees for Self-Supervised Deep Learning with Spectral Contrastive Loss
Jeff Z. HaoChen · Colin Wei · Adrien Gaidon · Tengyu Ma
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
MLP-Mixer: An all-MLP Architecture for Vision
Ilya Tolstikhin · Neil Houlsby · Alexander Kolesnikov · Lucas Beyer · Xiaohua Zhai · Thomas Unterthiner · Jessica Yung · Andreas Steiner · Daniel Keysers · Jakob Uszkoreit · Mario Lucic · Alexey Dosovitskiy
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Adversarial Examples in Multi-Layer Random ReLU Networks
Peter Bartlett · Sebastien Bubeck · Yeshwanth Cherapanamjeri
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Control Variates for Slate Off-Policy Evaluation
Nikos Vlassis · Ashok Chandrashekar · Fernando Amat · Nathan Kallus
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
On Riemannian Optimization over Positive Definite Matrices with the Bures-Wasserstein Geometry
Andi Han · Bamdev Mishra · Pratik Kumar Jawanpuria · Junbin Gao
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
BooVAE: Boosting Approach for Continual Learning of VAE
Evgenii Egorov · Anna Kuzina · Evgeny Burnaev
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Even your Teacher Needs Guidance: Ground-Truth Targets Dampen Regularization Imposed by Self-Distillation
Kenneth Borup · Lars N Andersen
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Implicit Sparse Regularization: The Impact of Depth and Early Stopping
Jiangyuan Li · Thanh Nguyen · Chinmay Hegde · Raymond K. W. Wong
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Continuized Accelerations of Deterministic and Stochastic Gradient Descents, and of Gossip Algorithms
Mathieu Even · Raphaël Berthier · Francis Bach · Nicolas Flammarion · Hadrien Hendrikx · Pierre Gaillard · Laurent Massoulié · Adrien Taylor
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
CentripetalText: An Efficient Text Instance Representation for Scene Text Detection
Tao Sheng · Jie Chen · Zhouhui Lian
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Learning Diverse Policies in MOBA Games via Macro-Goals
Yiming Gao · Bei Shi · Xueying Du · Liang Wang · Guangwei Chen · Zhenjie Lian · Fuhao Qiu · GUOAN HAN · Weixuan Wang · Deheng Ye · Qiang Fu · Wei Yang · Lanxiao Huang
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
Latent Equilibrium: A unified learning theory for arbitrarily fast computation with arbitrarily slow neurons
Paul Haider · Benjamin Ellenberger · Laura Kriener · Jakob Jordan · Walter Senn · Mihai A. Petrovici
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Towards Understanding Cooperative Multi-Agent Q-Learning with Value Factorization
Jianhao Wang · Zhizhou Ren · Beining Han · Jianing Ye · Chongjie Zhang
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
SBO-RNN: Reformulating Recurrent Neural Networks via Stochastic Bilevel Optimization
Ziming Zhang · Yun Yue · Guojun Wu · Yanhua Li · Haichong Zhang
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Finding Discriminative Filters for Specific Degradations in Blind Super-Resolution
Liangbin Xie · Xintao Wang · Chao Dong · Zhongang Qi · Ying Shan
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
FastCorrect: Fast Error Correction with Edit Alignment for Automatic Speech Recognition
Yichong Leng · Xu Tan · Linchen Zhu · Jin Xu · Renqian Luo · Linquan Liu · Tao Qin · Xiangyang Li · Edward Lin · Tie-Yan Liu
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Efficient and Accurate Gradients for Neural SDEs
Patrick Kidger · James Foster · Xuechen (Chen) Li · Terry Lyons
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Tuning Mixed Input Hyperparameters on the Fly for Efficient Population Based AutoRL
Jack Parker-Holder · Vu Nguyen · Shaan Desai · Stephen J Roberts
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
The Image Local Autoregressive Transformer
Chenjie Cao · Yuxin Hong · Xiang Li · Chengrong Wang · Chengming Xu · Yanwei Fu · Xiangyang Xue
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
Learning on Random Balls is Sufficient for Estimating (Some) Graph Parameters
Takanori Maehara · Hoang NT
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Graph Adversarial Self-Supervised Learning
Longqi Yang · Liangliang Zhang · Wenjing Yang
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Contrastive Graph Poisson Networks: Semi-Supervised Learning with Extremely Limited Labels
Sheng Wan · Yibing Zhan · Liu Liu · Baosheng Yu · Shirui Pan · Chen Gong
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Balanced Chamfer Distance as a Comprehensive Metric for Point Cloud Completion
Tong Wu · Liang Pan · Junzhe Zhang · Tai WANG · Ziwei Liu · Dahua Lin
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
Using Random Effects to Account for High-Cardinality Categorical Features and Repeated Measures in Deep Neural Networks
Giora Simchoni · Saharon Rosset
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Data-Efficient Instance Generation from Instance Discrimination
Ceyuan Yang · Yujun Shen · Yinghao Xu · Bolei Zhou
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
Differentiable Synthesis of Program Architectures
Guofeng Cui · He Zhu
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
OSOA: One-Shot Online Adaptation of Deep Generative Models for Lossless Compression
Chen Zhang · Shifeng Zhang · Fabio Maria Carlucci · Zhenguo Li
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
Learning to Iteratively Solve Routing Problems with Dual-Aspect Collaborative Transformer
Yining Ma · Jingwen Li · Zhiguang Cao · Wen Song · Le Zhang · Zhenghua Chen · Jing Tang
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Learning Transferable Features for Point Cloud Detection via 3D Contrastive Co-training
Zeng Yihan · Chunwei Wang · Yunbo Wang · Hang Xu · Chaoqiang Ye · Zhen Yang · Chao Ma
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
FlexMatch: Boosting Semi-Supervised Learning with Curriculum Pseudo Labeling
Bowen Zhang · Yidong Wang · Wenxin Hou · HAO WU · Jindong Wang · Manabu Okumura · Takahiro Shinozaki
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Non-asymptotic convergence bounds for Wasserstein approximation using point clouds
Quentin Mérigot · Filippo Santambrogio · Clément SARRAZIN
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
Convex-Concave Min-Max Stackelberg Games
Denizalp Goktas · Amy Greenwald
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
VAST: Value Function Factorization with Variable Agent Sub-Teams
Thomy Phan · Fabian Ritz · Lenz Belzner · Philipp Altmann · Thomas Gabor · Claudia Linnhoff-Popien
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
Towards a Unified Game-Theoretic View of Adversarial Perturbations and Robustness
Jie Ren · Die Zhang · Yisen Wang · Lu Chen · Zhanpeng Zhou · Yiting Chen · Xu Cheng · Xin Wang · Meng Zhou · Jie Shi · Quanshi Zhang
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Coordinated Proximal Policy Optimization
Zifan Wu · Chao Yu · Deheng Ye · Junge Zhang · haiyin piao · Hankz Hankui Zhuo
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Multi-View Representation Learning via Total Correlation Objective
HyeongJoo Hwang · Geon-Hyeong Kim · Seunghoon Hong · Kee-Eung Kim
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
RelaySum for Decentralized Deep Learning on Heterogeneous Data
Thijs Vogels · Lie He · Anastasiia Koloskova · Sai Praneeth Karimireddy · Tao Lin · Sebastian Stich · Martin Jaggi
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Gaussian Kernel Mixture Network for Single Image Defocus Deblurring
Yuhui Quan · Zicong Wu · Hui Ji
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
Self-Supervised Representation Learning on Neural Network Weights for Model Characteristic Prediction
Konstantin Schürholt · Dimche Kostadinov · Damian Borth
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
The Hardness Analysis of Thompson Sampling for Combinatorial Semi-bandits with Greedy Oracle
Fang Kong · Yueran Yang · Wei Chen · Shuai Li
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Determinantal point processes based on orthogonal polynomials for sampling minibatches in SGD
Rémi Bardenet · Subhroshekhar Ghosh · Meixia LIN
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
A Non-commutative Extension of Lee-Seung's Algorithm for Positive Semidefinite Factorizations
Yong Sheng Soh · Antonios Varvitsiotis
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Adversarial Teacher-Student Representation Learning for Domain Generalization
Fu-En Yang · Yuan-Chia Cheng · Zu-Yun Shiau · Frank Wang
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
ABC: Auxiliary Balanced Classifier for Class-imbalanced Semi-supervised Learning
Hyuck Lee · Seungjae Shin · Heeyoung Kim
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
Differentiable Learning Under Triage
Nastaran Okati · Abir De · Manuel Rodriguez
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Global Filter Networks for Image Classification
Yongming Rao · Wenliang Zhao · Zheng Zhu · Jiwen Lu · Jie Zhou
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Adaptive Online Packing-guided Search for POMDPs
Chenyang Wu · Guoyu Yang · Zongzhang Zhang · Yang Yu · Dong Li · Wulong Liu · Jianye Hao
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
Ising Model Selection Using $\ell_{1}$-Regularized Linear Regression: A Statistical Mechanics Analysis
Xiangming Meng · Tomoyuki Obuchi · Yoshiyuki Kabashima
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Noisy Adaptation Generates Lévy Flights in Attractor Neural Networks
Xingsi Dong · Tianhao Chu · Tiejun Huang · Zilong Ji · Si Wu
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
GraphFormers: GNN-nested Transformers for Representation Learning on Textual Graph
Junhan Yang · Zheng Liu · Shitao Xiao · Chaozhuo Li · Defu Lian · Sanjay Agrawal · Amit Singh · Guangzhong Sun · Xing Xie
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
How Should Pre-Trained Language Models Be Fine-Tuned Towards Adversarial Robustness?
Xinshuai Dong · Anh Tuan Luu · Min Lin · Shuicheng Yan · Hanwang Zhang
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
Robust Inverse Reinforcement Learning under Transition Dynamics Mismatch
Luca Viano · Yu-Ting Huang · Parameswaran Kamalaruban · Adrian Weller · Volkan Cevher
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Variational Inference for Continuous-Time Switching Dynamical Systems
Lukas Köhs · Bastian Alt · Heinz Koeppl
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
Towards Better Understanding of Training Certifiably Robust Models against Adversarial Examples
Sungyoon Lee · Woojin Lee · Jinseong Park · Jaewook Lee
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Weak-shot Fine-grained Classification via Similarity Transfer
Junjie Chen · Li Niu · Liu Liu · Liqing Zhang
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Conic Blackwell Algorithm: Parameter-Free Convex-Concave Saddle-Point Solving
Julien Grand-Clément · Christian Kroer
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Differentiable Equilibrium Computation with Decision Diagrams for Stackelberg Models of Combinatorial Congestion Games
Shinsaku Sakaue · Kengo Nakamura
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Online Variational Filtering and Parameter Learning
Andrew Campbell · Yuyang Shi · Thomas Rainforth · Arnaud Doucet
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Loss function based second-order Jensen inequality and its application to particle variational inference
Futoshi Futami · Tomoharu Iwata · naonori ueda · Issei Sato · Masashi Sugiyama
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Disentangling the Roles of Curation, Data-Augmentation and the Prior in the Cold Posterior Effect
Lorenzo Noci · Kevin Roth · Gregor Bachmann · Sebastian Nowozin · Thomas Hofmann
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Information-theoretic generalization bounds for black-box learning algorithms
Hrayr Harutyunyan · Maxim Raginsky · Greg Ver Steeg · Aram Galstyan
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Optimizing Conditional Value-At-Risk of Black-Box Functions
Quoc Phong Nguyen · Zhongxiang Dai · Bryan Kian Hsiang Low · Patrick Jaillet
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Debiased Visual Question Answering from Feature and Sample Perspectives
Zhiquan Wen · Guanghui Xu · Mingkui Tan · Qingyao Wu · Qi Wu
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
Learning to dehaze with polarization
Chu Zhou · Minggui Teng · Yufei Han · Chao Xu · Boxin Shi
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Universal Semi-Supervised Learning
Zhuo Huang · Chao Xue · Bo Han · Jian Yang · Chen Gong
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
TestRank: Bringing Order into Unlabeled Test Instances for Deep Learning Tasks
YU LI · Min LI · Qiuxia LAI · Yannan Liu · Qiang Xu
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Sifting through the noise: Universal first-order methods for stochastic variational inequalities
Kimon Antonakopoulos · Thomas Pethick · Ali Kavis · Panayotis Mertikopoulos · Volkan Cevher
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Do Input Gradients Highlight Discriminative Features?
Harshay Shah · Prateek Jain · Praneeth Netrapalli
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Improving black-box optimization in VAE latent space using decoder uncertainty
Pascal Notin · José Miguel Hernández-Lobato · Yarin Gal
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Alias-Free Generative Adversarial Networks
Tero Karras · Miika Aittala · Samuli Laine · Erik Härkönen · Janne Hellsten · Jaakko Lehtinen · Timo Aila
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Generative Occupancy Fields for 3D Surface-Aware Image Synthesis
Xudong XU · Xingang Pan · Dahua Lin · Bo Dai
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
K-Net: Towards Unified Image Segmentation
Wenwei Zhang · Jiangmiao Pang · Kai Chen · Chen Change Loy
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
Bridging Non Co-occurrence with Unlabeled In-the-wild Data for Incremental Object Detection
NA DONG · Yongqiang Zhang · Mingli Ding · Gim Hee Lee
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Unleashing the Power of Contrastive Self-Supervised Visual Models via Contrast-Regularized Fine-Tuning
Yifan Zhang · Bryan Hooi · Dapeng Hu · Jian Liang · Jiashi Feng
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
PTR: A Benchmark for Part-based Conceptual, Relational, and Physical Reasoning
Yining Hong · Li Yi · Josh Tenenbaum · Antonio Torralba · Chuang Gan
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Faster Directional Convergence of Linear Neural Networks under Spherically Symmetric Data
Dachao Lin · Ruoyu Sun · Zhihua Zhang
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Iterative Teacher-Aware Learning
Luyao Yuan · Dongruo Zhou · Junhong Shen · Jingdong Gao · Jeffrey L Chen · Quanquan Gu · Ying Nian Wu · Song-Chun Zhu
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Collaborative Learning in the Jungle (Decentralized, Byzantine, Heterogeneous, Asynchronous and Nonconvex Learning)
El Mahdi El-Mhamdi · Sadegh Farhadkhani · Rachid Guerraoui · Arsany Guirguis · Lê-Nguyên Hoang · Sébastien Rouault
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
Shape from Blur: Recovering Textured 3D Shape and Motion of Fast Moving Objects
Denys Rozumnyi · Martin R. Oswald · Vittorio Ferrari · Marc Pollefeys
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
Interpreting Representation Quality of DNNs for 3D Point Cloud Processing
Wen Shen · Qihan Ren · Dongrui Liu · Quanshi Zhang
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Neural Production Systems
Anirudh Goyal · Aniket Didolkar · Nan Rosemary Ke · Charles Blundell · Philippe Beaudoin · Nicolas Heess · Michael Mozer · Yoshua Bengio
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
Generalization Error Rates in Kernel Regression: The Crossover from the Noiseless to Noisy Regime
Hugo Cui · Bruno Loureiro · Florent Krzakala · Lenka Zdeborová
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
AutoGEL: An Automated Graph Neural Network with Explicit Link Information
Zhili Wang · Shimin DI · Lei Chen
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
On Optimal Robustness to Adversarial Corruption in Online Decision Problems
Shinji Ito
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
Vector-valued Distance and Gyrocalculus on the Space of Symmetric Positive Definite Matrices
Federico López · Beatrice Pozzetti · Steve Trettel · Michael Strube · Anna Wienhard
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
A self consistent theory of Gaussian Processes captures feature learning effects in finite CNNs
Gadi Naveh · Zohar Ringel
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Image Generation using Continuous Filter Atoms
Ze Wang · Seunghyun Hwang · Zichen Miao · Qiang Qiu
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Relative Uncertainty Learning for Facial Expression Recognition
Yuhang Zhang · Chengrui Wang · Weihong Deng
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
A Hierarchical Reinforcement Learning Based Optimization Framework for Large-scale Dynamic Pickup and Delivery Problems
Yi Ma · Xiaotian Hao · Jianye Hao · Jiawen Lu · Xing Liu · Tong Xialiang · Mingxuan Yuan · Zhigang Li · Jie Tang · Zhaopeng Meng
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Self-Instantiated Recurrent Units with Dynamic Soft Recursion
Aston Zhang · Yi Tay · Yikang Shen · Alvin Chan · SHUAI ZHANG
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Navigating to the Best Policy in Markov Decision Processes
Aymen Al Marjani · Aurélien Garivier · Alexandre Proutiere
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
An Empirical Study of Adder Neural Networks for Object Detection
Xinghao Chen · Chang Xu · Minjing Dong · Chunjing XU · Yunhe Wang
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Analogous to Evolutionary Algorithm: Designing a Unified Sequence Model
Jiangning Zhang · Chao Xu · Jian Li · Wenzhou Chen · Yabiao Wang · Ying Tai · Shuo Chen · Chengjie Wang · Feiyue Huang · Yong Liu
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Low-Rank Extragradient Method for Nonsmooth and Low-Rank Matrix Optimization Problems
Atara Kaplan · Dan Garber
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
Distilling Image Classifiers in Object Detectors
Shuxuan Guo · Jose M. Alvarez · Mathieu Salzmann
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Offline Reinforcement Learning with Reverse Model-based Imagination
Jianhao Wang · Wenzhe Li · Haozhe Jiang · Guangxiang Zhu · Siyuan Li · Chongjie Zhang
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
UFC-BERT: Unifying Multi-Modal Controls for Conditional Image Synthesis
Zhu Zhang · Jianxin Ma · Chang Zhou · Rui Men · Zhikang Li · Ming Ding · Jie Tang · Jingren Zhou · Hongxia Yang
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
MAP Propagation Algorithm: Faster Learning with a Team of Reinforcement Learning Agents
Stephen Chung
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Improve Agents without Retraining: Parallel Tree Search with Off-Policy Correction
Gal Dalal · Assaf Hallak · Steven Dalton · iuri frosio · Shie Mannor · Gal Chechik
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
3D Pose Transfer with Correspondence Learning and Mesh Refinement
Chaoyue Song · Jiacheng Wei · Ruibo Li · Fayao Liu · Guosheng Lin
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
Credit Assignment in Neural Networks through Deep Feedback Control
Alexander Meulemans · Matilde Tristany Farinha · Javier Garcia Ordonez · Pau Vilimelis Aceituno · João Sacramento · Benjamin F. Grewe
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Only Train Once: A One-Shot Neural Network Training And Pruning Framework
Tianyi Chen · Bo Ji · Tianyu Ding · Biyi Fang · Guanyi Wang · Zhihui Zhu · Luming Liang · Yixin Shi · Sheng Yi · Xiao Tu
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Revitalizing CNN Attention via Transformers in Self-Supervised Visual Representation Learning
Chongjian GE · Youwei Liang · YIBING SONG · Jianbo Jiao · Jue Wang · Ping Luo
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Sparse Quadratic Optimisation over the Stiefel Manifold with Application to Permutation Synchronisation
Florian Bernard · Daniel Cremers · Johan Thunberg
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
Pruning Randomly Initialized Neural Networks with Iterative Randomization
Daiki Chijiwa · Shin'ya Yamaguchi · Yasutoshi Ida · Kenji Umakoshi · Tomohiro INOUE
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Safe Reinforcement Learning by Imagining the Near Future
Garrett Thomas · Yuping Luo · Tengyu Ma
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Meta-Learning Sparse Implicit Neural Representations
Jaeho Lee · Jihoon Tack · Namhoon Lee · Jinwoo Shin
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
Learning from Inside: Self-driven Siamese Sampling and Reasoning for Video Question Answering
Weijiang Yu · Haoteng Zheng · Mengfei Li · Lei Ji · Lijun Wu · Nong Xiao · Nan Duan
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Stable Neural ODE with Lyapunov-Stable Equilibrium Points for Defending Against Adversarial Attacks
Qiyu Kang · Yang Song · Qinxu Ding · Wee Peng Tay
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST) @ Virtual
Learning to Generate Realistic Noisy Images via Pixel-level Noise-aware Adversarial Training
Yuanhao Cai · Xiaowan Hu · Haoqian Wang · Yulun Zhang · Hanspeter Pfister · Donglai Wei
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
When Is Unsupervised Disentanglement Possible?
Daniella Horan · Eitan Richardson · Yair Weiss
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Distilling Meta Knowledge on Heterogeneous Graph for Illicit Drug Trafficker Detection on Social Media
Yiyue Qian · Yiming Zhang · Yanfang (Fa Ye · Chuxu Zhang
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Recognizing Vector Graphics without Rasterization
XINYANG JIANG · LU LIU · Caihua Shan · Yifei Shen · Xuanyi Dong · Dongsheng Li
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Instance-Conditional Knowledge Distillation for Object Detection
Zijian Kang · Peizhen Zhang · Xiangyu Zhang · Jian Sun · Nanning Zheng
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Set Prediction in the Latent Space
Konpat Preechakul · Chawan Piansaddhayanon · Burin Naowarat · Tirasan Khandhawit · Sira Sriswasdi · Ekapol Chuangsuwanich
Poster
Wed Dec 08 12:30 AM -- 02:00 AM (PST)
Neural Architecture Dilation for Adversarial Robustness
Yanxi Li · Zhaohui Yang · Yunhe Wang · Chang Xu
Competition
Wed Dec 08 02:00 AM -- 06:44 AM (PST)
Competition Track Day 2: Overviews + Breakout Sessions
Douwe Kiela · Marco Ciccone · Barbara Caputo
Panel
Wed Dec 08 07:00 AM -- 08:00 AM (PST)
The Role of Benchmarks in the Scientific Progress of Machine Learning
Lora Aroyo · Samuel Bowman · Isabelle Guyon · Joaquin Vanschoren
Datasets and Benchmarks
Wed Dec 08 08:00 AM -- 09:00 AM (PST)
Dataset and Benchmark Track 2
Joaquin Vanschoren · Serena Yeung
Oral
Wed Dec 08 08:00 AM -- 08:15 AM (PST)
Unsupervised Speech Recognition
Alexei Baevski · Wei-Ning Hsu · Alexis CONNEAU · Michael Auli
Oral
Wed Dec 08 08:00 AM -- 08:15 AM (PST)
Partial success in closing the gap between human and machine vision
Robert Geirhos · Kantharaju Narayanappa · Benjamin Mitzkus · Tizian Thieringer · Matthias Bethge · Felix A. Wichmann · Wieland Brendel
Oral
Wed Dec 08 08:00 AM -- 08:15 AM (PST)
Efficient First-Order Contextual Bandits: Prediction, Allocation, and Triangular Discrimination
Dylan Foster · Akshay Krishnamurthy
Oral
Wed Dec 08 08:00 AM -- 08:15 AM (PST)
Continuized Accelerations of Deterministic and Stochastic Gradient Descents, and of Gossip Algorithms
Mathieu Even · Raphaël Berthier · Francis Bach · Nicolas Flammarion · Hadrien Hendrikx · Pierre Gaillard · Laurent Massoulié · Adrien Taylor
Q&A
Wed Dec 08 08:15 AM -- 08:20 AM (PST)
Q&A
Q&A
Wed Dec 08 08:15 AM -- 08:20 AM (PST)
Q&A
Q&A
Wed Dec 08 08:15 AM -- 08:20 AM (PST)
Q&A
Q&A
Wed Dec 08 08:15 AM -- 08:20 AM (PST)
Q&A
Oral
Wed Dec 08 08:20 AM -- 08:35 AM (PST)
Keeping Your Eye on the Ball: Trajectory Attention in Video Transformers
Mandela Patrick · Dylan Campbell · Yuki Asano · Ishan Misra · Florian Metze · Christoph Feichtenhofer · Andrea Vedaldi · João Henriques
Oral
Wed Dec 08 08:20 AM -- 08:35 AM (PST)
Bellman-consistent Pessimism for Offline Reinforcement Learning
Tengyang Xie · Ching-An Cheng · Nan Jiang · Paul Mineiro · Alekh Agarwal
Oral
Wed Dec 08 08:20 AM -- 08:35 AM (PST)
Oracle Complexity in Nonsmooth Nonconvex Optimization
Guy Kornowski · Ohad Shamir
Oral
Wed Dec 08 08:20 AM -- 08:35 AM (PST)
Deep Reinforcement Learning at the Edge of the Statistical Precipice
Rishabh Agarwal · Max Schwarzer · Pablo Samuel Castro · Aaron Courville · Marc Bellemare
Demonstration
Wed Dec 08 08:30 AM -- 09:50 AM (PST)
Demonstrations 2
Douwe Kiela · Barbara Caputo · Marco Ciccone
Q&A
Wed Dec 08 08:35 AM -- 08:40 AM (PST)
Q&A
Q&A
Wed Dec 08 08:35 AM -- 08:40 AM (PST)
Q&A
Q&A
Wed Dec 08 08:35 AM -- 08:40 AM (PST)
Q&A
Q&A
Wed Dec 08 08:35 AM -- 08:40 AM (PST)
Q&A
Oral
Wed Dec 08 08:40 AM -- 08:55 AM (PST)
Volume Rendering of Neural Implicit Surfaces
Lior Yariv · Jiatao Gu · Yoni Kasten · Yaron Lipman
Oral
Wed Dec 08 08:40 AM -- 08:55 AM (PST)
Faster Matchings via Learned Duals
Michael Dinitz · Sungjin Im · Thomas Lavastida · Benjamin Moseley · Sergei Vassilvitskii
Oral
Wed Dec 08 08:40 AM -- 08:55 AM (PST)
Provable Guarantees for Self-Supervised Deep Learning with Spectral Contrastive Loss
Jeff Z. HaoChen · Colin Wei · Adrien Gaidon · Tengyu Ma
Oral
Wed Dec 08 08:40 AM -- 08:55 AM (PST)
A Compositional Atlas of Tractable Circuit Operations for Probabilistic Inference
Antonio Vergari · YooJung Choi · Anji Liu · Stefano Teso · Guy Van den Broeck
Q&A
Wed Dec 08 08:55 AM -- 09:00 AM (PST)
Q&A
Q&A
Wed Dec 08 08:55 AM -- 09:00 AM (PST)
Q&A
Q&A
Wed Dec 08 08:55 AM -- 09:00 AM (PST)
Q&A
Q&A
Wed Dec 08 08:55 AM -- 09:00 AM (PST)
Q&A
Town Hall
Wed Dec 08 09:00 AM -- 10:00 AM (PST)
Town Hall
Affinity Workshop
Wed Dec 08 10:30 AM -- 01:30 PM (PST)
Queer in AI Workshop 2
Claas Voelcker · Arjun Subramonian · Vishakha Agrawal · Luca Soldaini · Pan Xu · Pranav A · William Agnew · Juan Pajaro Velasquez · Yanan Long · Sharvani Jha · Ashwin S · Mary Anne Smart · Patrick Feeney · Ruchira Ray
Affinity Workshop
Wed Dec 08 11:00 AM -- 02:30 PM (PST)
Indigenous in AI Workshop
Mason Grimshaw · Michael Running Wolf · Patrick Feeney
Invited Talk (Posner Lecture)
Wed Dec 08 03:00 PM -- 04:30 PM (PST)
Benign Overfitting
Peter Bartlett
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST) @ Virtual
On the Value of Interaction and Function Approximation in Imitation Learning
Nived Rajaraman · Yanjun Han · Lin Yang · Jingbo Liu · Jiantao Jiao · Kannan Ramchandran
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST) @ Virtual
A Law of Iterated Logarithm for Multi-Agent Reinforcement Learning
Gugan Chandrashekhar Thoppe · Bhumesh Kumar
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST) @ Virtual
Bridging Offline Reinforcement Learning and Imitation Learning: A Tale of Pessimism
Paria Rashidinejad · Banghua Zhu · Cong Ma · Jiantao Jiao · Stuart Russell
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
SQALER: Scaling Question Answering by Decoupling Multi-Hop and Logical Reasoning
Mattia Atzeni · Jasmina Bogojeska · Andreas Loukas
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Focal Attention for Long-Range Interactions in Vision Transformers
Jianwei Yang · Chunyuan Li · Pengchuan Zhang · Xiyang Dai · Bin Xiao · Lu Yuan · Jianfeng Gao
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Finite Sample Analysis of Average-Reward TD Learning and $Q$-Learning
Sheng Zhang · Zhe Zhang · Siva Theja Maguluri
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Scaling Up Exact Neural Network Compression by ReLU Stability
Thiago Serra · Xin Yu · Abhinav Kumar · Srikumar Ramalingam
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST) @ Virtual
Best of Both Worlds: Practical and Theoretically Optimal Submodular Maximization in Parallel
Yixin Chen · Tonmoy Dey · Alan Kuhnle
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Implicit Finite-Horizon Approximation and Efficient Optimal Algorithms for Stochastic Shortest Path
Liyu Chen · Mehdi Jafarnia-Jahromi · Rahul Jain · Haipeng Luo
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Preconditioned Gradient Descent for Over-Parameterized Nonconvex Matrix Factorization
Jialun Zhang · Salar Fattahi · Richard Y Zhang
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Pseudo-Spherical Contrastive Divergence
Lantao Yu · Jiaming Song · Yang Song · Stefano Ermon
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Evidential Softmax for Sparse Multimodal Distributions in Deep Generative Models
Phil Chen · Masha Itkina · Ransalu Senanayake · Mykel J Kochenderfer
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
When Is Generalizable Reinforcement Learning Tractable?
Dhruv Malik · Yuanzhi Li · Pradeep Ravikumar
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST) @ Virtual
Towards Efficient and Effective Adversarial Training
Gaurang Sriramanan · Sravanti Addepalli · Arya Baburaj · Venkatesh Babu R
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Progressive Coordinate Transforms for Monocular 3D Object Detection
Li Wang · Li Zhang · Yi Zhu · Zhi Zhang · Tong He · Mu Li · Xiangyang Xue
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Gradient Descent on Two-layer Nets: Margin Maximization and Simplicity Bias
Kaifeng Lyu · Zhiyuan Li · Runzhe Wang · Sanjeev Arora
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST) @ Virtual
Particle Dual Averaging: Optimization of Mean Field Neural Network with Global Convergence Rate Analysis
Atsushi Nitanda · Denny Wu · Taiji Suzuki
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
A nonparametric method for gradual change problems with statistical guarantees
Lizhen Nie · Dan Nicolae
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST) @ Virtual
Topological Detection of Trojaned Neural Networks
Songzhu Zheng · Yikai Zhang · Hubert Wagner · Mayank Goswami · Chao Chen
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST) @ Virtual
SEAL: Self-supervised Embodied Active Learning using Exploration and 3D Consistency
Devendra Singh Chaplot · Murtaza Dalal · Saurabh Gupta · Jitendra Malik · Russ Salakhutdinov
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Leveraging Spatial and Temporal Correlations in Sparsified Mean Estimation
Divyansh Jhunjhunwala · Ankur Mallick · Advait Gadhikar · Swanand Kadhe · Gauri Joshi
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Learning Student-Friendly Teacher Networks for Knowledge Distillation
Dae Young Park · Moon-Hyun Cha · changwook jeong · Daesin Kim · Bohyung Han
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST) @ Virtual
Multiple Descent: Design Your Own Generalization Curve
Lin Chen · Yifei Min · Mikhail Belkin · Amin Karbasi
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Revisiting Discriminator in GAN Compression: A Generator-discriminator Cooperative Compression Scheme
Shaojie Li · Jie Wu · Xuefeng Xiao · Fei Chao · Xudong Mao · Rongrong Ji
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Look at What I’m Doing: Self-Supervised Spatial Grounding of Narrations in Instructional Videos
Reuben Tan · Bryan Plummer · Kate Saenko · Hailin Jin · Bryan Russell
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Topic Modeling Revisited: A Document Graph-based Neural Network Perspective
Dazhong Shen · Chuan Qin · Chao Wang · Zheng Dong · Hengshu Zhu · Hui Xiong
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST) @ Virtual
CHIP: CHannel Independence-based Pruning for Compact Neural Networks
Yang Sui · Miao Yin · Yi Xie · Huy Phan · Saman Aliari Zonouz · Bo Yuan
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Pretraining Representations for Data-Efficient Reinforcement Learning
Max Schwarzer · Nitarshan Rajkumar · Michael Noukhovitch · Ankesh Anand · Laurent Charlin · R Devon Hjelm · Philip Bachman · Aaron Courville
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST) @ Virtual
On the Stochastic Stability of Deep Markov Models
Jan Drgona · Sayak Mukherjee · Jiaxin Zhang · Frank Liu · Mahantesh Halappanavar
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Replacing Rewards with Examples: Example-Based Policy Search via Recursive Classification
Ben Eysenbach · Sergey Levine · Russ Salakhutdinov
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST) @ Virtual
TNASP: A Transformer-based NAS Predictor with a Self-evolution Framework
Shun Lu · Jixiang Li · Jianchao Tan · Sen Yang · Ji Liu
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Stability and Deviation Optimal Risk Bounds with Convergence Rate $O(1/n)$
Yegor Klochkov · Nikita Zhivotovskiy
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Neural Regression, Representational Similarity, Model Zoology & Neural Taskonomy at Scale in Rodent Visual Cortex
Colin Conwell · David Mayo · Andrei Barbu · Michael Buice · George Alvarez · Boris Katz
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
The Limitations of Large Width in Neural Networks: A Deep Gaussian Process Perspective
Geoff Pleiss · John Cunningham
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
MST: Masked Self-Supervised Transformer for Visual Representation
Zhaowen Li · Zhiyang Chen · Fan Yang · Wei Li · Yousong Zhu · Chaoyang Zhao · Rui Deng · Liwei Wu · Rui Zhao · Ming Tang · Jinqiao Wang
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST) @ Virtual
NAS-Bench-x11 and the Power of Learning Curves
Shen Yan · Colin White · Yash Savani · Frank Hutter
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
A Surrogate Objective Framework for Prediction+Programming with Soft Constraints
Kai Yan · Jie Yan · Chuan Luo · Liting Chen · Qingwei Lin · Dongmei Zhang
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Manipulating SGD with Data Ordering Attacks
I Shumailov · Zakhar Shumaylov · Dmitry Kazhdan · Yiren Zhao · Nicolas Papernot · Murat Erdogdu · Ross J Anderson
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Online Learning in Periodic Zero-Sum Games
Tanner Fiez · Ryann Sim · Stratis Skoulakis · Georgios Piliouras · Lillian Ratliff
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Channel Permutations for N:M Sparsity
Jeff Pool · Chong Yu
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Forster Decomposition and Learning Halfspaces with Noise
Ilias Diakonikolas · Daniel Kane · Christos Tzamos
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Sequence-to-Sequence Learning with Latent Neural Grammars
Yoon Kim
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Regret Minimization Experience Replay in Off-Policy Reinforcement Learning
Xu-Hui Liu · Zhenghai Xue · Jingcheng Pang · Shengyi Jiang · Feng Xu · Yang Yu
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Bayesian Optimization of Function Networks
Raul Astudillo · Peter Frazier
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Coupled Gradient Estimators for Discrete Latent Variables
Zhe Dong · Andriy Mnih · George Tucker
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Gone Fishing: Neural Active Learning with Fisher Embeddings
Jordan Ash · Surbhi Goel · Akshay Krishnamurthy · Sham Kakade
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Hyperparameter Tuning is All You Need for LISTA
Xiaohan Chen · Jialin Liu · Zhangyang Wang · Wotao Yin
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST) @ Virtual
A Convergence Analysis of Gradient Descent on Graph Neural Networks
Pranjal Awasthi · Abhimanyu Das · Sreenivas Gollapudi
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST) @ Virtual
Evaluating Efficient Performance Estimators of Neural Architectures
Xuefei Ning · Changcheng Tang · Wenshuo Li · Zixuan Zhou · Shuang Liang · Huazhong Yang · Yu Wang
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST) @ Virtual
Efficient Mirror Descent Ascent Methods for Nonsmooth Minimax Problems
Feihu Huang · Xidong Wu · Heng Huang
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST) @ Virtual
Reinforcement Learning in Linear MDPs: Constant Regret and Representation Selection
Matteo Papini · Andrea Tirinzoni · Aldo Pacchiano · Marcello Restelli · Alessandro Lazaric · Matteo Pirotta
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Spatiotemporal Joint Filter Decomposition in 3D Convolutional Neural Networks
Zichen Miao · Ze Wang · Xiuyuan Cheng · Qiang Qiu
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST) @ Virtual
How Modular should Neural Module Networks Be for Systematic Generalization?
Vanessa D'Amario · Tomotake Sasaki · Xavier Boix
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
A Topological Perspective on Causal Inference
Duligur Ibeling · Thomas Icard
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST) @ Virtual
Graph Neural Networks with Adaptive Residual
Xiaorui Liu · Jiayuan Ding · Wei Jin · Han Xu · Yao Ma · Zitao Liu · Jiliang Tang
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Structure learning in polynomial time: Greedy algorithms, Bregman information, and exponential families
Goutham Rajendran · Bohdan Kivva · Ming Gao · Bryon Aragam
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Skyformer: Remodel Self-Attention with Gaussian Kernel and Nystr\"om Method
Yifan Chen · Qi Zeng · Heng Ji · Yun Yang
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Formalizing the Generalization-Forgetting Trade-off in Continual Learning
Krishnan Raghavan · Prasanna Balaprakash
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Adaptable Agent Populations via a Generative Model of Policies
Kenneth Derek · Phillip Isola
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Optimal prediction of Markov chains with and without spectral gap
Yanjun Han · Soham Jana · Yihong Wu
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Efficient constrained sampling via the mirror-Langevin algorithm
Kwangjun Ahn · Sinho Chewi
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST) @ Virtual
CO-PILOT: COllaborative Planning and reInforcement Learning On sub-Task curriculum
Shuang Ao · Tianyi Zhou · Guodong Long · Qinghua Lu · Liming Zhu · Jing Jiang
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Breaking the Sample Complexity Barrier to Regret-Optimal Model-Free Reinforcement Learning
Gen Li · Laixi Shi · Yuxin Chen · Yuantao Gu · Yuejie Chi
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Sample Complexity Bounds for Active Ranking from Multi-wise Comparisons
Wenbo Ren · Jia Liu · Ness Shroff
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST) @ Virtual
Neural Active Learning with Performance Guarantees
Zhilei Wang · Pranjal Awasthi · Christoph Dann · Ayush Sekhari · Claudio Gentile
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
How does a Neural Network's Architecture Impact its Robustness to Noisy Labels?
Jingling Li · Mozhi Zhang · Keyulu Xu · John Dickerson · Jimmy Ba
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Conditionally Parameterized, Discretization-Aware Neural Networks for Mesh-Based Modeling of Physical Systems
Jiayang Xu · Aniruddhe Pradhan · Karthikeyan Duraisamy
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Continual Learning via Local Module Composition
Oleksiy Ostapenko · Pau Rodriguez · Massimo Caccia · Laurent Charlin
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST) @ Virtual
ResNEsts and DenseNEsts: Block-based DNN Models with Improved Representation Guarantees
Kuan-Lin Chen · Ching-Hua Lee · Harinath Garudadri · Bhaskar D Rao
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
RoMA: Robust Model Adaptation for Offline Model-based Optimization
Sihyun Yu · Sungsoo Ahn · Le Song · Jinwoo Shin
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Emergent Communication under Varying Sizes and Connectivities
Jooyeon Kim · Alice Oh
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST) @ Virtual
Open Rule Induction
Wanyun Cui · Xingran Chen
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Neural Symplectic Form: Learning Hamiltonian Equations on General Coordinate Systems
Yuhan Chen · Takashi Matsubara · Takaharu Yaguchi
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST) @ Virtual
Counterbalancing Learning and Strategic Incentives in Allocation Markets
Jamie Kang · Faidra Monachou · Moran Koren · Itai Ashlagi
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Multi-task Learning of Order-Consistent Causal Graphs
Xinshi Chen · Haoran Sun · Caleb Ellington · Eric Xing · Le Song
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Agnostic Reinforcement Learning with Low-Rank MDPs and Rich Observations
Ayush Sekhari · Christoph Dann · Mehryar Mohri · Yishay Mansour · Karthik Sridharan
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Sample-Efficient Reinforcement Learning Is Feasible for Linearly Realizable MDPs with Limited Revisiting
Gen Li · Yuxin Chen · Yuejie Chi · Yuantao Gu · Yuting Wei
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Exact marginal prior distributions of finite Bayesian neural networks
Jacob Zavatone-Veth · Cengiz Pehlevan
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
On Effective Scheduling of Model-based Reinforcement Learning
Hang Lai · Jian Shen · Weinan Zhang · Yimin Huang · Xing Zhang · Ruiming Tang · Yong Yu · Zhenguo Li
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST) @ Virtual
Training Feedback Spiking Neural Networks by Implicit Differentiation on the Equilibrium State
Mingqing Xiao · Qingyan Meng · Zongpeng Zhang · Yisen Wang · Zhouchen Lin
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
An Axiomatic Theory of Provably-Fair Welfare-Centric Machine Learning
Cyrus Cousins
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Change Point Detection via Multivariate Singular Spectrum Analysis
Arwa Alanqary · Abdullah Alomar · Devavrat Shah
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Diffusion Models Beat GANs on Image Synthesis
Prafulla Dhariwal · Alexander Nichol
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Gauge Equivariant Transformer
Lingshen He · Yiming Dong · Yisen Wang · Dacheng Tao · Zhouchen Lin
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Proper Value Equivalence
Christopher Grimm · Andre Barreto · Greg Farquhar · David Silver · Satinder Singh
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST) @ Virtual
TransMIL: Transformer based Correlated Multiple Instance Learning for Whole Slide Image Classification
Zhuchen Shao · Hao Bian · Yang Chen · Yifeng Wang · Jian Zhang · Xiangyang Ji · yongbing zhang
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
On the Expected Complexity of Maxout Networks
Hanna Tseran · Guido Montufar
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective
Jingwei Sun · Ang Li · Louis DiValentin · Amin Hassanzadeh · Yiran Chen · Hai Li
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST) @ Virtual
Fault-Tolerant Federated Reinforcement Learning with Theoretical Guarantee
Xiaofeng Fan · Yining Ma · Zhongxiang Dai · Wei Jing · Cheston Tan · Bryan Kian Hsiang Low
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Blending Anti-Aliasing into Vision Transformer
Shengju Qian · Hao Shao · Yi Zhu · Mu Li · Jiaya Jia
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Detecting Errors and Estimating Accuracy on Unlabeled Data with Self-training Ensembles
Jiefeng Chen · Frederick Liu · Besim Avci · Xi Wu · Yingyu Liang · Somesh Jha
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Chasing Sparsity in Vision Transformers: An End-to-End Exploration
Tianlong Chen · Yu Cheng · Zhe Gan · Lu Yuan · Lei Zhang · Zhangyang Wang
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Class-Incremental Learning via Dual Augmentation
Fei Zhu · Zhen Cheng · Xu-yao Zhang · Cheng-lin Liu
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST) @ Virtual
Differentiable Quality Diversity
Matthew Fontaine · Stefanos Nikolaidis
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Rectangular Flows for Manifold Learning
Anthony Caterini · Gabriel Loaiza-Ganem · Geoff Pleiss · John Cunningham
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
USCO-Solver: Solving Undetermined Stochastic Combinatorial Optimization Problems
Guangmo Tong
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Coresets for Classification – Simplified and Strengthened
Tung Mai · Cameron Musco · Anup Rao
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST) @ Virtual
Neural Bellman-Ford Networks: A General Graph Neural Network Framework for Link Prediction
Zhaocheng Zhu · Zuobai Zhang · Louis-Pascal Xhonneux · Jian Tang
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
DeepSITH: Efficient Learning via Decomposition of What and When Across Time Scales
Brandon Jacques · Zoran Tiganj · Marc Howard · Per B Sederberg
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Spatial-Temporal Super-Resolution of Satellite Imagery via Conditional Pixel Synthesis
Yutong He · Dingjie Wang · Nicholas Lai · William Zhang · Chenlin Meng · Marshall Burke · David Lobell · Stefano Ermon
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Improved Learning Rates of a Functional Lasso-type SVM with Sparse Multi-Kernel Representation
shaogao lv · Junhui Wang · Jiankun Liu · Yong Liu
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Provably Faster Algorithms for Bilevel Optimization
Junjie Yang · Kaiyi Ji · Yingbin Liang
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST) @ Virtual
Adversarial Attack Generation Empowered by Min-Max Optimization
Jingkang Wang · Tianyun Zhang · Sijia Liu · Pin-Yu Chen · Jiacen Xu · Makan Fardad · Bo Li
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST) @ Virtual
Posterior Collapse and Latent Variable Non-identifiability
Yixin Wang · David Blei · John Cunningham
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Local plasticity rules can learn deep representations using self-supervised contrastive predictions
Bernd Illing · Jean Ventura · Guillaume Bellec · Wulfram Gerstner
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Robust Compressed Sensing MRI with Deep Generative Priors
Ajil Jalal · Marius Arvinte · Giannis Daras · Eric Price · Alex Dimakis · Jon Tamir
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Exploiting Data Sparsity in Secure Cross-Platform Social Recommendation
Jinming Cui · Chaochao Chen · Lingjuan Lyu · Carl Yang · Wang Li
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
ConE: Cone Embeddings for Multi-Hop Reasoning over Knowledge Graphs
Zhanqiu Zhang · Jie Wang · Jiajun Chen · Shuiwang Ji · Feng Wu
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Deep Extended Hazard Models for Survival Analysis
Qixian Zhong · Jonas Mueller · Jane-Ling Wang
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Deep Markov Factor Analysis: Towards Concurrent Temporal and Spatial Analysis of fMRI Data
Amirreza Farnoosh · Sarah Ostadabbas
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Sample-Efficient Learning of Stackelberg Equilibria in General-Sum Games
Yu Bai · Chi Jin · Huan Wang · Caiming Xiong
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Breaking the Dilemma of Medical Image-to-image Translation
Lingke Kong · Chenyu Lian · Detian Huang · zhenjiang li · Yanle Hu · Qichao Zhou
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Soft Calibration Objectives for Neural Networks
Archit Karandikar · Nicholas Cain · Dustin Tran · Balaji Lakshminarayanan · Jonathon Shlens · Michael Mozer · Becca Roelofs
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Complexity Lower Bounds for Nonconvex-Strongly-Concave Min-Max Optimization
Haochuan Li · Yi Tian · Jingzhao Zhang · Ali Jadbabaie
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Deep Self-Dissimilarities as Powerful Visual Fingerprints
Idan Kligvasser · Tamar Shaham · Yuval Bahat · Tomer Michaeli
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Data-Efficient GAN Training Beyond (Just) Augmentations: A Lottery Ticket Perspective
Tianlong Chen · Yu Cheng · Zhe Gan · Jingjing Liu · Zhangyang Wang
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Raw Nav-merge Seismic Data to Subsurface Properties with MLP based Multi-Modal Information Unscrambler
Aditya Desai · Zhaozhuo Xu · Menal Gupta · Anu Chandran · Antoine Vial-Aussavy · Anshumali Shrivastava
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
On the Convergence and Sample Efficiency of Variance-Reduced Policy Gradient Method
Junyu Zhang · Chengzhuo Ni · zheng Yu · Csaba Szepesvari · Mengdi Wang
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST) @ Virtual
Robust Optimization for Multilingual Translation with Imbalanced Data
Xian Li · Hongyu Gong
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Parameterized Knowledge Transfer for Personalized Federated Learning
Jie Zhang · Song Guo · Xiaosong Ma · Haozhao Wang · Wenchao Xu · Feijie Wu
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
On the Second-order Convergence Properties of Random Search Methods
Aurelien Lucchi · Antonio Orvieto · Adamos Solomou
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Towards Scalable Unpaired Virtual Try-On via Patch-Routed Spatially-Adaptive GAN
Zhenyu Xie · Zaiyu Huang · Fuwei Zhao · Haoye Dong · Michael Kampffmeyer · Xiaodan Liang
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
A Geometric Structure of Acceleration and Its Role in Making Gradients Small Fast
Jongmin Lee · Chanwoo Park · Ernest Ryu
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
The staircase property: How hierarchical structure can guide deep learning
Emmanuel Abbe · Enric Boix-Adsera · Matthew S Brennan · Guy Bresler · Dheeraj Nagaraj
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Emergent Discrete Communication in Semantic Spaces
Mycal Tucker · Huao Li · Siddharth Agrawal · Dana Hughes · Katia Sycara · Michael Lewis · Julie A Shah
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Reward-Free Model-Based Reinforcement Learning with Linear Function Approximation
Weitong ZHANG · Dongruo Zhou · Quanquan Gu
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Teaching an Active Learner with Contrastive Examples
Chaoqi Wang · Adish Singla · Yuxin Chen
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Offline Reinforcement Learning as One Big Sequence Modeling Problem
Michael Janner · Qiyang Li · Sergey Levine
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST) @ Virtual
Lifelong Domain Adaptation via Consolidated Internal Distribution
Mohammad Rostami
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Fast Federated Learning in the Presence of Arbitrary Device Unavailability
Xinran Gu · Kaixuan Huang · Jingzhao Zhang · Longbo Huang
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST) @ Virtual
Diversity Enhanced Active Learning with Strictly Proper Scoring Rules
Wei Tan · Lan Du · Wray Buntine
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Autobahn: Automorphism-based Graph Neural Nets
Erik Thiede · Wenda Zhou · Risi Kondor
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Learning with Holographic Reduced Representations
Ashwinkumar Ganesan · Hang Gao · Sunil Gandhi · Edward Raff · Tim Oates · James Holt · Mark McLean
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Tensor decompositions of higher-order correlations by nonlinear Hebbian plasticity
Gabriel Ocker · Michael Buice
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
A generative nonparametric Bayesian model for whole genomes
Alan Amin · Eli N Weinstein · Debora Marks
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Derivative-Free Policy Optimization for Linear Risk-Sensitive and Robust Control Design: Implicit Regularization and Sample Complexity
Kaiqing Zhang · Xiangyuan Zhang · Bin Hu · Tamer Basar
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Flexible Option Learning
Martin Klissarov · Doina Precup
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST) @ Virtual
Federated Split Task-Agnostic Vision Transformer for COVID-19 CXR Diagnosis
Sangjoon Park · Gwanghyun Kim · Jeongsol Kim · Boah Kim · Jong Chul Ye
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Sub-Linear Memory: How to Make Performers SLiM
Valerii Likhosherstov · Krzysztof Choromanski · Jared Quincy Davis · Xingyou Song · Adrian Weller
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Fine-Grained Zero-Shot Learning with DNA as Side Information
Sarkhan Badirli · Zeynep Akata · George Mohler · Christine Picard · Mehmet M Dundar
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Low-dimensional Structure in the Space of Language Representations is Reflected in Brain Responses
Richard Antonello · Javier Turek · Vy Vo · Alexander Huth
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Stability & Generalisation of Gradient Descent for Shallow Neural Networks without the Neural Tangent Kernel
Dominic Richards · Ilja Kuzborskij
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
A Max-Min Entropy Framework for Reinforcement Learning
Seungyul Han · Youngchul Sung
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Nested Counterfactual Identification from Arbitrary Surrogate Experiments
Juan Correa · Sanghack Lee · Elias Bareinboim
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Corruption Robust Active Learning
Yifang Chen · Simon Du · Kevin Jamieson
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST) @ Virtual
Class-Disentanglement and Applications in Adversarial Detection and Defense
Kaiwen Yang · Tianyi Zhou · Yonggang Zhang · Xinmei Tian · Dacheng Tao
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Optimal Sketching for Trace Estimation
Shuli Jiang · Hai Pham · David Woodruff · Richard Zhang
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Diverse Message Passing for Attribute with Heterophily
Liang Yang · Mengzhe Li · Liyang Liu · bingxin niu · Chuan Wang · Xiaochun Cao · Yuanfang Guo
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Sample-Efficient Reinforcement Learning for Linearly-Parameterized MDPs with a Generative Model
Bingyan Wang · Yuling Yan · Jianqing Fan
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
A Geometric Analysis of Neural Collapse with Unconstrained Features
Zhihui Zhu · Tianyu Ding · Jinxin Zhou · Xiao Li · Chong You · Jeremias Sulam · Qing Qu
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Localization with Sampling-Argmax
Jiefeng Li · Tong Chen · Ruiqi Shi · Yujing Lou · Yong-Lu Li · Cewu Lu
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST) @ Virtual
Variance-Aware Off-Policy Evaluation with Linear Function Approximation
Yifei Min · Tianhao Wang · Dongruo Zhou · Quanquan Gu
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Ultrahyperbolic Neural Networks
Marc Law
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Revenue maximization via machine learning with noisy data
Ellen Vitercik · Tom Yan
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Active 3D Shape Reconstruction from Vision and Touch
Edward Smith · David Meger · Luis Pineda · Roberto Calandra · Jitendra Malik · Adriana Romero Soriano · Michal Drozdzal
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Dynaboard: An Evaluation-As-A-Service Platform for Holistic Next-Generation Benchmarking
Zhiyi Ma · Kawin Ethayarajh · Tristan Thrush · Somya Jain · Ledell Wu · Robin Jia · Christopher Potts · Adina Williams · Douwe Kiela
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST) @ Virtual
A Consciousness-Inspired Planning Agent for Model-Based Reinforcement Learning
Mingde Zhao · Zhen Liu · Sitao Luan · Shuyuan Zhang · Doina Precup · Yoshua Bengio
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
What Makes Multi-Modal Learning Better than Single (Provably)
Yu Huang · Chenzhuang Du · Zihui Xue · Xuanyao Chen · Hang Zhao · Longbo Huang
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST) @ Virtual
Permuton-induced Chinese Restaurant Process
Masahiro Nakano · Yasuhiro Fujiwara · Akisato Kimura · Takeshi Yamada · naonori ueda
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Second-Order Neural ODE Optimizer
Guan-Horng Liu · Tianrong Chen · Evangelos Theodorou
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Bayesian Adaptation for Covariate Shift
Aurick Zhou · Sergey Levine
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Efficient Active Learning for Gaussian Process Classification by Error Reduction
Guang Zhao · Edward Dougherty · Byung-Jun Yoon · Francis Alexander · Xiaoning Qian
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Why Do Pretrained Language Models Help in Downstream Tasks? An Analysis of Head and Prompt Tuning
Colin Wei · Sang Michael Xie · Tengyu Ma
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
A Variational Perspective on Diffusion-Based Generative Models and Score Matching
Chin-Wei Huang · Jae Hyun Lim · Aaron Courville
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST) @ Virtual
Scaling Neural Tangent Kernels via Sketching and Random Features
Amir Zandieh · Insu Han · Haim Avron · Neta Shoham · Chaewon Kim · Jinwoo Shin
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Uncertain Decisions Facilitate Better Preference Learning
Cassidy Laidlaw · Stuart Russell
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Towards a Unified Information-Theoretic Framework for Generalization
Mahdi Haghifam · Gintare Karolina Dziugaite · Shay Moran · Dan Roy
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Continuous Doubly Constrained Batch Reinforcement Learning
Rasool Fakoor · Jonas Mueller · Kavosh Asadi · Pratik Chaudhari · Alexander Smola
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Taming Communication and Sample Complexities in Decentralized Policy Evaluation for Cooperative Multi-Agent Reinforcement Learning
Xin Zhang · Zhuqing Liu · Jia Liu · Zhengyuan Zhu · Songtao Lu
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Shifted Chunk Transformer for Spatio-Temporal Representational Learning
Xuefan Zha · Wentao Zhu · Lv Xun · Sen Yang · Ji Liu
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Learning Dynamic Graph Representation of Brain Connectome with Spatio-Temporal Attention
Byung-Hoon Kim · Jong Chul Ye · Jae-Jin Kim
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
On Empirical Risk Minimization with Dependent and Heavy-Tailed Data
Abhishek Roy · Krishnakumar Balasubramanian · Murat Erdogdu
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Maximum Likelihood Training of Score-Based Diffusion Models
Yang Song · Conor Durkan · Iain Murray · Stefano Ermon
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Generalization Bounds for (Wasserstein) Robust Optimization
Yang An · Rui Gao
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Probability Paths and the Structure of Predictions over Time
Zhiyuan Jerry Lin · Hao Sheng · Sharad Goel
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
For high-dimensional hierarchical models, consider exchangeability of effects across covariates instead of across datasets
Brian Trippe · Hilary Finucane · Tamara Broderick
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Learning Distilled Collaboration Graph for Multi-Agent Perception
Yiming Li · Shunli Ren · Pengxiang Wu · Siheng Chen · Chen Feng · Wenjun Zhang
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Estimating High Order Gradients of the Data Distribution by Denoising
Chenlin Meng · Yang Song · Wenzhe Li · Stefano Ermon
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Greedy Approximation Algorithms for Active Sequential Hypothesis Testing
Kyra Gan · Su Jia · Andrew Li
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST) @ Virtual
Reliable and Trustworthy Machine Learning for Health Using Dataset Shift Detection
Chunjong Park · Anas Awadalla · Tadayoshi Kohno · Shwetak Patel
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
ViTAE: Vision Transformer Advanced by Exploring Intrinsic Inductive Bias
Yufei Xu · Qiming ZHANG · Jing Zhang · Dacheng Tao
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Characterizing possible failure modes in physics-informed neural networks
Aditi Krishnapriyan · Amir Gholami · Shandian Zhe · Robert Kirby · Michael Mahoney
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Pragmatic Image Compression for Human-in-the-Loop Decision-Making
Sid Reddy · Anca Dragan · Sergey Levine
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Revisiting Model Stitching to Compare Neural Representations
Yamini Bansal · Preetum Nakkiran · Boaz Barak
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Non-Asymptotic Analysis for Two Time-scale TDC with General Smooth Function Approximation
Yue Wang · Shaofeng Zou · Yi Zhou
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Batch Multi-Fidelity Bayesian Optimization with Deep Auto-Regressive Networks
Shibo Li · Robert Kirby · Shandian Zhe
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Combining Latent Space and Structured Kernels for Bayesian Optimization over Combinatorial Spaces
Aryan Deshwal · Jana Doppa
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Practical, Provably-Correct Interactive Learning in the Realizable Setting: The Power of True Believers
Julian Katz-Samuels · Blake Mason · Kevin Jamieson · Rob Nowak
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Lower and Upper Bounds on the Pseudo-Dimension of Tensor Network Models
Behnoush Khavari · Guillaume Rabusseau
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
A Stochastic Newton Algorithm for Distributed Convex Optimization
Brian Bullins · Kshitij Patel · Ohad Shamir · Nathan Srebro · Blake Woodworth
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST) @ Virtual
Three Operator Splitting with Subgradients, Stochastic Gradients, and Adaptive Learning Rates
Alp Yurtsever · Alex Gu · Suvrit Sra
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
HRFormer: High-Resolution Vision Transformer for Dense Predict
YUHUI YUAN · Rao Fu · Lang Huang · Weihong Lin · Chao Zhang · Xilin Chen · Jingdong Wang
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Sliced Mutual Information: A Scalable Measure of Statistical Dependence
Ziv Goldfeld · Kristjan Greenewald
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
On the Representation Power of Set Pooling Networks
Christian Bueno · Alan Hylton
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Universal Approximation Using Well-Conditioned Normalizing Flows
Holden Lee · Chirag Pabbaraju · Anish Prasad Sevekari · Andrej Risteski
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Locally Valid and Discriminative Prediction Intervals for Deep Learning Models
Zhen Lin · Shubhendu Trivedi · Jimeng Sun
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Demystifying and Generalizing BinaryConnect
Tim Dockhorn · Yaoliang Yu · Eyyüb Sari · Mahdi Zolnouri · Vahid Partovi Nia
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Gradient-based Editing of Memory Examples for Online Task-free Continual Learning
Xisen Jin · Arka Sadhu · Junyi Du · Xiang Ren
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
MobTCast: Leveraging Auxiliary Trajectory Forecasting for Human Mobility Prediction
Hao Xue · Flora Salim · Yongli Ren · Nuria Oliver
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Program Synthesis Guided Reinforcement Learning for Partially Observed Environments
Yichen Yang · Jeevana Priya Inala · Osbert Bastani · Yewen Pu · Armando Solar-Lezama · Martin Rinard
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Why Spectral Normalization Stabilizes GANs: Analysis and Improvements
Zinan Lin · Vyas Sekar · Giulia Fanti
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST) @ Virtual
SADGA: Structure-Aware Dual Graph Aggregation Network for Text-to-SQL
Ruichu Cai · Jinjie Yuan · Boyan Xu · Zhifeng Hao
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Selective Sampling for Online Best-arm Identification
Romain Camilleri · Zhihan Xiong · Maryam Fazel · Lalit Jain · Kevin Jamieson
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Referring Transformer: A One-step Approach to Multi-task Visual Grounding
Muchen Li · Leonid Sigal
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Sageflow: Robust Federated Learning against Both Stragglers and Adversaries
Jungwuk Park · Dong-Jun Han · Minseok Choi · Jaekyun Moon
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
MobILE: Model-Based Imitation Learning From Observation Alone
Rahul Kidambi · Jonathan Chang · Wen Sun
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Provably efficient, succinct, and precise explanations
Guy Blanc · Jane Lange · Li-Yang Tan
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Improving Generalization in Meta-RL with Imaginary Tasks from Latent Dynamics Mixture
Suyoung Lee · Sae-Young Chung
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Does Preprocessing Help Training Over-parameterized Neural Networks?
Zhao Song · Shuo Yang · Ruizhe Zhang
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Collapsed Variational Bounds for Bayesian Neural Networks
Marcin Tomczak · Siddharth Swaroop · Andrew Foong · Richard Turner
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Bootstrapping the Error of Oja's Algorithm
Robert Lunde · Purnamrita Sarkar · Rachel Ward
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Multi-Step Budgeted Bayesian Optimization with Unknown Evaluation Costs
Raul Astudillo · Daniel Jiang · Maximilian Balandat · Eytan Bakshy · Peter Frazier
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Controlled Text Generation as Continuous Optimization with Multiple Constraints
Sachin Kumar · Eric Malmi · Aliaksei Severyn · Yulia Tsvetkov
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Calibrating Predictions to Decisions: A Novel Approach to Multi-Class Calibration
Shengjia Zhao · Michael Kim · Roshni Sahoo · Tengyu Ma · Stefano Ermon
Poster
Wed Dec 08 04:30 PM -- 06:00 PM (PST)
Representing Long-Range Context for Graph Neural Networks with Global Attention
Zhanghao Wu · Paras Jain · Matthew Wright · Azalia Mirhoseini · Joseph Gonzalez · Ion Stoica
Affinity Workshop
Wed Dec 08 06:00 PM -- 11:00 PM (PST)
WiML Workshop 1
Soomin Aga Lee · Meera Desai · Nezihe Merve Gürel · Boyi Li · Linh Tran · Akiko Eriguchi · Jieyu Zhao · Salomey Osei · Sirisha Rambhatla · Geeticka Chauhan · Nwamaka (Amaka) Okafor · Mariya Vasileva
Invited Talk
Wed Dec 08 11:00 PM -- 12:30 AM (PST)
Optimal Transport: Past, Present, and Future
Alessio Figalli
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Understanding Bandits with Graph Feedback
Houshuang Chen · zengfeng Huang · Shuai Li · Chihao Zhang
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Rethinking gradient sparsification as total error minimization
Atal Sahu · Aritra Dutta · Ahmed M. Abdelmoniem · Trambak Banerjee · Marco Canini · Panos Kalnis
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Low-Rank Subspaces in GANs
Jiapeng Zhu · Ruili Feng · Yujun Shen · Deli Zhao · Zheng-Jun Zha · Jingren Zhou · Qifeng Chen
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
The Adaptive Doubly Robust Estimator and a Paradox Concerning Logging Policy
Masahiro Kato · Kenichiro McAlinn · Shota Yasui
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Breaking the Moments Condition Barrier: No-Regret Algorithm for Bandits with Super Heavy-Tailed Payoffs
Han Zhong · Jiayi Huang · Lin Yang · Liwei Wang
[ OpenReview
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
CorticalFlow: A Diffeomorphic Mesh Transformer Network for Cortical Surface Reconstruction
Leo Lebrat · Rodrigo Santa Cruz · Frederic de Gournay · Darren Fu · Pierrick Bourgeat · Jurgen Fripp · Clinton Fookes · Olivier Salvado
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
GRIN: Generative Relation and Intention Network for Multi-agent Trajectory Prediction
Longyuan Li · Jian Yao · Li Wenliang · Tong He · Tianjun Xiao · Junchi Yan · David Wipf · Zheng Zhang
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
ImageBART: Bidirectional Context with Multinomial Diffusion for Autoregressive Image Synthesis
Patrick Esser · Robin Rombach · Andreas Blattmann · Bjorn Ommer
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Rethinking the Variational Interpretation of Accelerated Optimization Methods
Peiyuan Zhang · Antonio Orvieto · Hadi Daneshmand
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
TransMatcher: Deep Image Matching Through Transformers for Generalizable Person Re-identification
Shengcai Liao · Ling Shao
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
Analyzing the Generalization Capability of SGLD Using Properties of Gaussian Channels
Hao Wang · Yizhe Huang · Rui Gao · Flavio Calmon
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
A$^2$-Net: Learning Attribute-Aware Hash Codes for Large-Scale Fine-Grained Image Retrieval
Xiu-Shen Wei · Yang Shen · Xuhao Sun · Han-Jia Ye · Jian Yang
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
PlayVirtual: Augmenting Cycle-Consistent Virtual Trajectories for Reinforcement Learning
Tao Yu · Cuiling Lan · Wenjun Zeng · Mingxiao Feng · Zhizheng Zhang · Zhibo Chen
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Meta Internal Learning
Raphael Bensadoun · Shir Gur · Tomer Galanti · Lior Wolf
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
On the Convergence of Prior-Guided Zeroth-Order Optimization Algorithms
Shuyu Cheng · Guoqiang Wu · Jun Zhu
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Intrinsic Dimension, Persistent Homology and Generalization in Neural Networks
Tolga Birdal · Aaron Lou · Leonidas Guibas · Umut Simsekli
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Variational Bayesian Optimistic Sampling
Brendan O'Donoghue · Tor Lattimore
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Interventional Sum-Product Networks: Causal Inference with Tractable Probabilistic Models
Matej Zečević · Devendra Dhami · Athresh Karanam · Sriraam Natarajan · Kristian Kersting
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Network-to-Network Regularization: Enforcing Occam's Razor to Improve Generalization
Rohan Ghosh · Mehul Motani
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Redesigning the Transformer Architecture with Insights from Multi-particle Dynamical Systems
Subhabrata Dutta · Tanya Gautam · Soumen Chakrabarti · Tanmoy Chakraborty
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Deep Bandits Show-Off: Simple and Efficient Exploration with Deep Networks
Rong Zhu · Mattia Rigotti
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
BooVI: Provably Efficient Bootstrapped Value Iteration
Boyi Liu · Qi Cai · Zhuoran Yang · Zhaoran Wang
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
EF21: A New, Simpler, Theoretically Better, and Practically Faster Error Feedback
Peter Richtarik · Igor Sokolov · Ilyas Fatkhullin
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Conformal Prediction using Conditional Histograms
Matteo Sesia · Yaniv Romano
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Modular Gaussian Processes for Transfer Learning
Pablo Moreno-Muñoz · Antonio Artes · Mauricio Álvarez
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Offline Constrained Multi-Objective Reinforcement Learning via Pessimistic Dual Value Iteration
Runzhe Wu · Yufeng Zhang · Zhuoran Yang · Zhaoran Wang
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Stochastic Anderson Mixing for Nonconvex Stochastic Optimization
Fuchao Wei · Chenglong Bao · Yang Liu
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Identifiability in inverse reinforcement learning
Haoyang Cao · Samuel Cohen · Lukasz Szpruch
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
An Even More Optimal Stochastic Optimization Algorithm: Minibatching and Interpolation Learning
Blake Woodworth · Nathan Srebro
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Habitat 2.0: Training Home Assistants to Rearrange their Habitat
Andrew Szot · Alexander Clegg · Eric Undersander · Erik Wijmans · Yili Zhao · John Turner · Noah Maestre · Mustafa Mukadam · Devendra Singh Chaplot · Oleksandr Maksymets · Aaron Gokaslan · Vladimír Vondruš · Sameer Dharur · Franziska Meier · Wojciech Galuba · Angel Chang · Zsolt Kira · Vladlen Koltun · Jitendra Malik · Manolis Savva · Dhruv Batra
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Meta-Learning for Relative Density-Ratio Estimation
Atsutoshi Kumagai · Tomoharu Iwata · Yasuhiro Fujiwara
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
A Constant Approximation Algorithm for Sequential Random-Order No-Substitution k-Median Clustering
Tom Hess · Michal Moshkovitz · Sivan Sabato
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Sim and Real: Better Together
Shirli Di-Castro · Dotan Di Castro · Shie Mannor
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Making the most of your day: online learning for optimal allocation of time
Etienne Boursier · Tristan Garrec · Vianney Perchet · Marco Scarsini
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Post-Training Sparsity-Aware Quantization
Gil Shomron · Freddy Gabbay · Samer Kurzum · Uri Weiser
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Global Convergence of Online Optimization for Nonlinear Model Predictive Control
Sen Na
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Adaptive Data Augmentation on Temporal Graphs
Yiwei Wang · Yujun Cai · Yuxuan Liang · Henghui Ding · Changhu Wang · Siddharth Bhatia · Bryan Hooi
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Dynamic Resolution Network
Mingjian Zhu · Kai Han · Enhua Wu · Qiulin Zhang · Ying Nie · Zhenzhong Lan · Yunhe Wang
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
DRONE: Data-aware Low-rank Compression for Large NLP Models
Patrick Chen · Hsiang-Fu Yu · Inderjit Dhillon · Cho-Jui Hsieh
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
An Analysis of Constant Step Size SGD in the Non-convex Regime: Asymptotic Normality and Bias
Lu Yu · Krishnakumar Balasubramanian · Stanislav Volgushev · Murat Erdogdu
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Instance-optimal Mean Estimation Under Differential Privacy
Ziyue Huang · Yuting Liang · Ke Yi
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Automatic Data Augmentation for Generalization in Reinforcement Learning
Roberta Raileanu · Maxwell Goldstein · Denis Yarats · Ilya Kostrikov · Rob Fergus
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Towards Sample-Optimal Compressive Phase Retrieval with Sparse and Generative Priors
Zhaoqiang Liu · Subhroshekhar Ghosh · Jonathan Scarlett
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
A Gradient Method for Multilevel Optimization
Ryo Sato · Mirai Tanaka · Akiko Takeda
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Efficient Combination of Rematerialization and Offloading for Training DNNs
Olivier Beaumont · Lionel Eyraud-Dubois · Alena Shilova
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Structure-Aware Random Fourier Kernel for Graphs
Jinyuan Fang · Qiang Zhang · Zaiqiao Meng · Shangsong Liang
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
Bridging the Gap Between Practice and PAC-Bayes Theory in Few-Shot Meta-Learning
Nan Ding · Xi Chen · Tomer Levinboim · Sebastian Goodman · Radu Soricut
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Subquadratic Overparameterization for Shallow Neural Networks
ChaeHwan Song · Ali Ramezani-Kebrya · Thomas Pethick · Armin Eftekhari · Volkan Cevher
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
It Has Potential: Gradient-Driven Denoisers for Convergent Solutions to Inverse Problems
Regev Cohen · Yochai Blau · Daniel Freedman · Ehud Rivlin
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Differentially Private Multi-Armed Bandits in the Shuffle Model
Jay Tenenbaum · Haim Kaplan · Yishay Mansour · Uri Stemmer
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Continuous Mean-Covariance Bandits
Yihan Du · Siwei Wang · Zhixuan Fang · Longbo Huang
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Combinatorial Pure Exploration with Bottleneck Reward Function
Yihan Du · Yuko Kuroki · Wei Chen
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Well-tuned Simple Nets Excel on Tabular Datasets
Arlind Kadra · Marius Lindauer · Frank Hutter · Josif Grabocka
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
The Complexity of Bayesian Network Learning: Revisiting the Superstructure
Robert Ganian · Viktoriia Korchemna
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Curriculum Disentangled Recommendation with Noisy Multi-feedback
Hong Chen · Yudong Chen · Xin Wang · Ruobing Xie · Rui Wang · Feng Xia · Wenwu Zhu
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Towards Open-World Feature Extrapolation: An Inductive Graph Learning Approach
Qitian Wu · Chenxiao Yang · Junchi Yan
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
The Complexity of Sparse Tensor PCA
Davin Choo · Tommaso d'Orsi
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Semialgebraic Representation of Monotone Deep Equilibrium Models and Applications to Certification
Tong Chen · Jean Lasserre · Victor Magron · Edouard Pauwels
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Adder Attention for Vision Transformer
Han Shu · Jiahao Wang · Hanting Chen · Lin Li · Yujiu Yang · Yunhe Wang
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Solving Soft Clustering Ensemble via $k$-Sparse Discrete Wasserstein Barycenter
Ruizhe Qin · Mengying Li · Hu Ding
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Self-Supervised Learning of Event-Based Optical Flow with Spiking Neural Networks
Jesse Hagenaars · Federico Paredes-Valles · Guido de Croon
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Rethinking Calibration of Deep Neural Networks: Do Not Be Afraid of Overconfidence
Deng-Bao Wang · Lei Feng · Min-Ling Zhang
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Gradient Driven Rewards to Guarantee Fairness in Collaborative Machine Learning
Xinyi Xu · Lingjuan Lyu · Xingjun Ma · Chenglin Miao · Chuan Sheng Foo · Bryan Kian Hsiang Low
[ OpenReview
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Twins: Revisiting the Design of Spatial Attention in Vision Transformers
Xiangxiang Chu · Zhi Tian · Yuqing Wang · Bo Zhang · Haibing Ren · Xiaolin Wei · Huaxia Xia · Chunhua Shen
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Decentralized Q-learning in Zero-sum Markov Games
Muhammed Sayin · Kaiqing Zhang · David Leslie · Tamer Basar · Asuman Ozdaglar
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Discerning Decision-Making Process of Deep Neural Networks with Hierarchical Voting Transformation
Ying Sun · Hengshu Zhu · Chuan Qin · Fuzhen Zhuang · Qing He · Hui Xiong
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Beyond BatchNorm: Towards a Unified Understanding of Normalization in Deep Learning
Ekdeep S Lubana · Robert Dick · Hidenori Tanaka
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Model Selection for Bayesian Autoencoders
Ba-Hien Tran · Simone Rossi · Dimitrios Milios · Pietro Michiardi · Edwin Bonilla · Maurizio Filippone
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
PartialFed: Cross-Domain Personalized Federated Learning via Partial Initialization
Benyuan Sun · Hongxing Huo · YI YANG · Bo Bai
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Efficient Learning of Discrete-Continuous Computation Graphs
David Friede · Mathias Niepert
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Integrated Latent Heterogeneity and Invariance Learning in Kernel Space
Jiashuo Liu · Zheyuan Hu · Peng Cui · Bo Li · Zheyan Shen
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Parameter-free HE-friendly Logistic Regression
Junyoung Byun · Woojin Lee · Jaewook Lee
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
CATs: Cost Aggregation Transformers for Visual Correspondence
Seokju Cho · Sunghwan Hong · Sangryul Jeon · Yunsung Lee · Kwanghoon Sohn · Seungryong Kim
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
INDIGO: GNN-Based Inductive Knowledge Graph Completion Using Pair-Wise Encoding
Shuwen Liu · Bernardo Grau · Ian Horrocks · Egor Kostylev
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
Adversarial Reweighting for Partial Domain Adaptation
Xiang Gu · Xi Yu · Yan Yang · Jian Sun · Zongben Xu
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Personalized Federated Learning With Gaussian Processes
Idan Achituve · Aviv Shamsian · Aviv Navon · Gal Chechik · Ethan Fetaya
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Trustworthy Multimodal Regression with Mixture of Normal-inverse Gamma Distributions
Huan Ma · Zongbo Han · Changqing Zhang · Huazhu Fu · Joey Tianyi Zhou · Qinghua Hu
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
NEO: Non Equilibrium Sampling on the Orbits of a Deterministic Transform
Achille Thin · Yazid Janati El Idrissi · Sylvain Le Corff · Charles Ollion · Eric Moulines · Arnaud Doucet · Alain Durmus · Christian X Robert
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Towards Gradient-based Bilevel Optimization with Non-convex Followers and Beyond
Risheng Liu · Yaohua Liu · Shangzhi Zeng · Jin Zhang
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
iFlow: Numerically Invertible Flows for Efficient Lossless Compression via a Uniform Coder
Shifeng Zhang · Ning Kang · Tom Ryder · Zhenguo Li
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Understanding Partial Multi-Label Learning via Mutual Information
Xiuwen Gong · Dong Yuan · Wei Bao
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Precise characterization of the prior predictive distribution of deep ReLU networks
Lorenzo Noci · Gregor Bachmann · Kevin Roth · Sebastian Nowozin · Thomas Hofmann
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Cross-modal Domain Adaptation for Cost-Efficient Visual Reinforcement Learning
Xiong-Hui Chen · Shengyi Jiang · Feng Xu · Zongzhang Zhang · Yang Yu
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
Fast Tucker Rank Reduction for Non-Negative Tensors Using Mean-Field Approximation
Kazu Ghalamkari · Mahito Sugiyama
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Graph Posterior Network: Bayesian Predictive Uncertainty for Node Classification
Maximilian Stadler · Bertrand Charpentier · Simon Geisler · Daniel Zügner · Stephan Günnemann
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
ScaleCert: Scalable Certified Defense against Adversarial Patches with Sparse Superficial Layers
Husheng Han · Kaidi Xu · Xing Hu · Xiaobing Chen · LING LIANG · Zidong Du · Qi Guo · Yanzhi Wang · Yunji Chen
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Towards Calibrated Model for Long-Tailed Visual Recognition from Prior Perspective
Zhengzhuo Xu · Zenghao Chai · Chun Yuan
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Repulsive Deep Ensembles are Bayesian
Francesco D'Angelo · Vincent Fortuin
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Partition-Based Formulations for Mixed-Integer Optimization of Trained ReLU Neural Networks
Calvin Tsay · Jan Kronqvist · Alexander Thebelt · Ruth Misener
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
De-randomizing MCMC dynamics with the diffusion Stein operator
Zheyang Shen · Markus Heinonen · Samuel Kaski
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
A Probabilistic State Space Model for Joint Inference from Differential Equations and Data
Jonathan Schmidt · Nicholas Krämer · Philipp Hennig
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Brick-by-Brick: Combinatorial Construction with Deep Reinforcement Learning
Hyunsoo Chung · Jungtaek Kim · Boris Knyazev · Jinhwi Lee · Graham Taylor · Jaesik Park · Minsu Cho
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Non-convex Distributionally Robust Optimization: Non-asymptotic Analysis
Jikai Jin · Bohang Zhang · Haiyang Wang · Liwei Wang
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Fast Routing under Uncertainty: Adaptive Learning in Congestion Games via Exponential Weights
Dong Quan Vu · Kimon Antonakopoulos · Panayotis Mertikopoulos
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
Transformers Generalize DeepSets and Can be Extended to Graphs & Hypergraphs
Jinwoo Kim · Saeyoon Oh · Seunghoon Hong
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
Revisit Multimodal Meta-Learning through the Lens of Multi-Task Learning
Milad Abdollahzadeh · Touba Malekzadeh · Ngai-Man (Man) Cheung
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
PSD Representations for Effective Probability Models
Alessandro Rudi · Carlo Ciliberto
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Spherical Motion Dynamics: Learning Dynamics of Normalized Neural Network using SGD and Weight Decay
Ruosi Wan · Zhanxing Zhu · Xiangyu Zhang · Jian Sun
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Boost Neural Networks by Checkpoints
Feng Wang · Guoyizhe Wei · Qiao Liu · Jinxiang Ou · xian wei · Hairong Lv
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Independent mechanism analysis, a new concept?
Luigi Gresele · Julius von Kügelgen · Vincent Stimper · Bernhard Schölkopf · Michel Besserve
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Neural Rule-Execution Tracking Machine For Transformer-Based Text Generation
Yufei Wang · Can Xu · Huang Hu · Chongyang Tao · Stephen Wan · Mark Dras · Mark Johnson · Daxin Jiang
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Time-independent Generalization Bounds for SGLD in Non-convex Settings
Tyler Farghly · Patrick Rebeschini
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Overcoming Catastrophic Forgetting in Incremental Few-Shot Learning by Finding Flat Minima
Guangyuan SHI · JIAXIN CHEN · Wenlong Zhang · Li-Ming Zhan · Xiao-Ming Wu
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Causal Identification with Matrix Equations
Sanghack Lee · Elias Bareinboim
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Deep Conditional Gaussian Mixture Model for Constrained Clustering
Laura Manduchi · Kieran Chin-Cheong · Holger Michel · Sven Wellmann · Julia Vogt
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
Integrating Tree Path in Transformer for Code Representation
Han Peng · Ge Li · Wenhan Wang · YunFei Zhao · Zhi Jin
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
E(n) Equivariant Normalizing Flows
Victor Garcia Satorras · Emiel Hoogeboom · Fabian Fuchs · Ingmar Posner · Max Welling
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Stylized Dialogue Generation with Multi-Pass Dual Learning
Jinpeng Li · Yingce Xia · Rui Yan · Hongda Sun · Dongyan Zhao · Tie-Yan Liu
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
Faster Non-asymptotic Convergence for Double Q-learning
Lin Zhao · Huaqing Xiong · Yingbin Liang
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
Hessian Eigenspectra of More Realistic Nonlinear Models
Zhenyu Liao · Michael Mahoney
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Batched Thompson Sampling
Cem Kalkanli · Ayfer Ozgur
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Spectrum-to-Kernel Translation for Accurate Blind Image Super-Resolution
Guangpin Tao · Xiaozhong Ji · Wenzhuo Wang · Shuo Chen · Chuming Lin · Yun Cao · Tong Lu · Donghao Luo · Ying Tai
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Doubly Robust Thompson Sampling with Linear Payoffs
Wonyoung Kim · Gi-Soo Kim · Myunghee Cho Paik
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Visual Search Asymmetry: Deep Nets and Humans Share Similar Inherent Biases
Shashi Kant Gupta · Mengmi Zhang · CHIA-CHIEN WU · Jeremy Wolfe · Gabriel Kreiman
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
Learning interaction rules from multi-animal trajectories via augmented behavioral models
Keisuke Fujii · Naoya Takeishi · Kazushi Tsutsui · Emyo Fujioka · Nozomi Nishiumi · Ryoya Tanaka · Mika Fukushiro · Kaoru Ide · Hiroyoshi Kohno · Ken Yoda · Susumu Takahashi · Shizuko Hiryu · Yoshinobu Kawahara
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Robustifying Algorithms of Learning Latent Trees with Vector Variables
Fengzhuo Zhang · Vincent Tan
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Generalization Guarantee of SGD for Pairwise Learning
Yunwen Lei · Mingrui Liu · Yiming Ying
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
Universal Off-Policy Evaluation
Yash Chandak · Scott Niekum · Bruno da Silva · Erik Learned-Miller · Emma Brunskill · Philip Thomas
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
Tactical Optimism and Pessimism for Deep Reinforcement Learning
Ted Moskovitz · Jack Parker-Holder · Aldo Pacchiano · Michael Arbel · Michael Jordan
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Sparse Spiking Gradient Descent
Nicolas Perez-Nieves · Dan Goodman
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Refined Learning Bounds for Kernel and Approximate $k$-Means
Yong Liu
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Towards Understanding Why Lookahead Generalizes Better Than SGD and Beyond
Pan Zhou · Hanshu Yan · Xiaotong Yuan · Jiashi Feng · Shuicheng Yan
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
KS-GNN: Keywords Search over Incomplete Graphs via Graphs Neural Network
YU HAO · Xin Cao · Yufan Sheng · Yixiang Fang · Wei Wang
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Variational Continual Bayesian Meta-Learning
Qiang Zhang · Jinyuan Fang · Zaiqiao Meng · Shangsong Liang · Emine Yilmaz
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Causal Bandits with Unknown Graph Structure
Yangyi Lu · Amirhossein Meisami · Ambuj Tewari
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Beyond the Signs: Nonparametric Tensor Completion via Sign Series
Chanwoo Lee · Miaoyan Wang
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
A Bayesian-Symbolic Approach to Reasoning and Learning in Intuitive Physics
Kai Xu · Akash Srivastava · Dan Gutfreund · Felix Sosa · Tomer Ullman · Josh Tenenbaum · Charles Sutton
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Spatial Ensemble: a Novel Model Smoothing Mechanism for Student-Teacher Framework
Tengteng Huang · Yifan Sun · Xun Wang · Haotian Yao · Chi Zhang
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Constrained Optimization to Train Neural Networks on Critical and Under-Represented Classes
Sara Sangalli · Ertunc Erdil · Andeas Hötker · Olivio Donati · Ender Konukoglu
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Generalizable Multi-linear Attention Network
Tao Jin · Zhou Zhao
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Near-Optimal Multi-Perturbation Experimental Design for Causal Structure Learning
Scott Sussex · Caroline Uhler · Andreas Krause
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Graph Differentiable Architecture Search with Structure Learning
Yijian Qin · Xin Wang · Zeyang Zhang · Wenwu Zhu
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Not All Low-Pass Filters are Robust in Graph Convolutional Networks
Heng Chang · Yu Rong · Tingyang Xu · Yatao Bian · Shiji Zhou · Xin Wang · Junzhou Huang · Wenwu Zhu
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Oracle Complexity in Nonsmooth Nonconvex Optimization
Guy Kornowski · Ohad Shamir
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Unlabeled Principal Component Analysis
Yunzhen Yao · Liangzu Peng · Manolis Tsakiris
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Coresets for Time Series Clustering
Lingxiao Huang · K Sudhir · Nisheeth Vishnoi
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
Width-based Lookaheads with Learnt Base Policies and Heuristics Over the Atari-2600 Benchmark
Stefan O'Toole · Nir Lipovetzky · Miquel Ramirez · Adrian Pearce
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
ROI Maximization in Stochastic Online Decision-Making
Nicolò Cesa-Bianchi · Tom Cesari · Yishay Mansour · Vianney Perchet
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Cycle Self-Training for Domain Adaptation
Hong Liu · Jianmin Wang · Mingsheng Long
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Deep Proxy Causal Learning and its Application to Confounded Bandit Policy Evaluation
Ritsugen Jo · Heishiro Kanagawa · Arthur Gretton
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Disentangled Contrastive Learning on Graphs
Haoyang Li · Xin Wang · Ziwei Zhang · Zehuan Yuan · Hang Li · Wenwu Zhu
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
CANITA: Faster Rates for Distributed Convex Optimization with Communication Compression
Zhize Li · Peter Richtarik
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
Uncertainty-Driven Loss for Single Image Super-Resolution
Qian Ning · Weisheng Dong · Xin Li · Jinjian Wu · GUANGMING Shi
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Dual Progressive Prototype Network for Generalized Zero-Shot Learning
Chaoqun Wang · Shaobo Min · Xuejin Chen · Xiaoyan Sun · Houqiang Li
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Scalable Bayesian GPFA with automatic relevance determination and discrete noise models
Kristopher Jensen · Ta-Chu Kao · Jasmine Stone · Guillaume Hennequin
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
IRM—when it works and when it doesn't: A test case of natural language inference
Yana Dranker · He He · Yonatan Belinkov
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Learning to Combine Per-Example Solutions for Neural Program Synthesis
Disha Shrivastava · Hugo Larochelle · Daniel Tarlow
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
LLC: Accurate, Multi-purpose Learnt Low-dimensional Binary Codes
Aditya Kusupati · Matthew Wallingford · Vivek Ramanujan · Raghav Somani · Jae Sung Park · Krishna Pillutla · Prateek Jain · Sham Kakade · Ali Farhadi
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Robust Generalization despite Distribution Shift via Minimum Discriminating Information
Tobias Sutter · Andreas Krause · Daniel Kuhn
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
A Note on Sparse Generalized Eigenvalue Problem
Yunfeng Cai · Guanhua Fang · Ping Li
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
HSVA: Hierarchical Semantic-Visual Adaptation for Zero-Shot Learning
Shiming Chen · Guosen Xie · Yang Liu · Qinmu Peng · Baigui Sun · Hao Li · Xinge You · Ling Shao
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Landmark-Guided Subgoal Generation in Hierarchical Reinforcement Learning
Junsu Kim · Younggyo Seo · Jinwoo Shin
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Conformal Time-series Forecasting
Kamile Stankeviciute · Ahmed M. Alaa · Mihaela van der Schaar
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Few-Round Learning for Federated Learning
Younghyun Park · Dong-Jun Han · Do-Yeon Kim · Jun Seo · Jaekyun Moon
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Addressing Algorithmic Disparity and Performance Inconsistency in Federated Learning
Sen Cui · Weishen Pan · Jian Liang · Changshui Zhang · Fei Wang
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
There Is No Turning Back: A Self-Supervised Approach for Reversibility-Aware Reinforcement Learning
Nathan Grinsztajn · Johan Ferret · Olivier Pietquin · philippe preux · Matthieu Geist
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
Learning Interpretable Decision Rule Sets: A Submodular Optimization Approach
Fan Yang · Kai He · Linxiao Yang · Hongxia Du · Jingbang Yang · Bo Yang · Liang Sun
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Entropy-based adaptive Hamiltonian Monte Carlo
Marcel Hirt · Michalis Titsias · Petros Dellaportas
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Improved Variance-Aware Confidence Sets for Linear Bandits and Linear Mixture MDP
Zihan Zhang · Jiaqi Yang · Xiangyang Ji · Simon Du
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
Necessary and sufficient graphical conditions for optimal adjustment sets in causal graphical models with hidden variables
Jakob Runge
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Learning a Single Neuron with Bias Using Gradient Descent
Gal Vardi · Gilad Yehudai · Ohad Shamir
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Re-ranking for image retrieval and transductive few-shot classification
Xi SHEN · Yang Xiao · Shell Xu Hu · Othman Sbai · Mathieu Aubry
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Truncated Marginal Neural Ratio Estimation
Benjamin K Miller · Alex Cole · Patrick Forré · Gilles Louppe · Christoph Weniger
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Learning Barrier Certificates: Towards Safe Reinforcement Learning with Zero Training-time Violations
Yuping Luo · Tengyu Ma
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
A Provably Efficient Sample Collection Strategy for Reinforcement Learning
Jean Tarbouriech · Matteo Pirotta · Michal Valko · Alessandro Lazaric
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Lip to Speech Synthesis with Visual Context Attentional GAN
Minsu Kim · Joanna Hong · Yong Man Ro
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
RMIX: Learning Risk-Sensitive Policies for Cooperative Reinforcement Learning Agents
Wei Qiu · Xinrun Wang · Runsheng Yu · Rundong Wang · Xu He · Bo An · Svetlana Obraztsova · Zinovi Rabinovich
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
MixSeq: Connecting Macroscopic Time Series Forecasting with Microscopic Time Series Data
Zhibo Zhu · Ziqi Liu · Ge Jin · Zhiqiang Zhang · Lei Chen · Jun Zhou · Jianyong Zhou
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
See More for Scene: Pairwise Consistency Learning for Scene Classification
Gongwei Chen · Xinhang Song · Bohan Wang · Shuqiang Jiang
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
Variational Automatic Curriculum Learning for Sparse-Reward Cooperative Multi-Agent Problems
Jiayu Chen · Yuanxin Zhang · Yuanfan Xu · Huimin Ma · Huazhong Yang · Jiaming Song · Yu Wang · Yi Wu
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
PortaSpeech: Portable and High-Quality Generative Text-to-Speech
Yi Ren · Jinglin Liu · Zhou Zhao
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
Graphical Models in Heavy-Tailed Markets
José Vinícius de Miranda Cardoso · Jiaxi Ying · Daniel Palomar
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
Deep Contextual Video Compression
Jiahao Li · Bin Li · Yan Lu
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
Anti-Backdoor Learning: Training Clean Models on Poisoned Data
Yige Li · Xixiang Lyu · Nodens Koren · Lingjuan Lyu · Bo Li · Xingjun Ma
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Iterative Causal Discovery in the Possible Presence of Latent Confounders and Selection Bias
Raanan Rohekar · Shami Nisimov · Yaniv Gurwicz · Gal Novik
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
What’s a good imputation to predict with missing values?
Marine Le Morvan · Julie Josse · Erwan Scornet · Gael Varoquaux
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Artistic Style Transfer with Internal-external Learning and Contrastive Learning
Haibo Chen · lei zhao · Zhizhong Wang · Huiming Zhang · Zhiwen Zuo · Ailin Li · Wei Xing · Dongming Lu
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
The Implicit Bias of Minima Stability: A View from Function Space
Rotem Mulayoff · Tomer Michaeli · Daniel Soudry
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
What can linearized neural networks actually say about generalization?
Guillermo Ortiz-Jimenez · Seyed-Mohsen Moosavi-Dezfooli · Pascal Frossard
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Variational Multi-Task Learning with Gumbel-Softmax Priors
Jiayi Shen · Xiantong Zhen · Marcel Worring · Ling Shao
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Learning Theory Can (Sometimes) Explain Generalisation in Graph Neural Networks
Pascal Esser · Leena Chennuru Vankadara · Debarghya Ghoshdastidar
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Rectifying the Shortcut Learning of Background for Few-Shot Learning
Xu Luo · Longhui Wei · Liangjian Wen · Jinrong Yang · Lingxi Xie · Zenglin Xu · Qi Tian
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
Counterexample Guided RL Policy Refinement Using Bayesian Optimization
Briti Gangopadhyay · Pallab Dasgupta
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Model-Based Reinforcement Learning via Imagination with Derived Memory
Yao Mu · Yuzheng Zhuang · Bin Wang · Guangxiang Zhu · Wulong Liu · Jianyu Chen · Ping Luo · Shengbo Li · Chongjie Zhang · Jianye Hao
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
MIRACLE: Causally-Aware Imputation via Learning Missing Data Mechanisms
Trent Kyono · Yao Zhang · Alexis Bellot · Mihaela van der Schaar
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Proportional Participatory Budgeting with Additive Utilities
Grzegorz Pierczyński · Piotr Skowron · Dominik Peters
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Identification of the Generalized Condorcet Winner in Multi-dueling Bandits
Björn Haddenhorst · Viktor Bengs · Eyke Hüllermeier
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
ToAlign: Task-Oriented Alignment for Unsupervised Domain Adaptation
Guoqiang Wei · Cuiling Lan · Wenjun Zeng · Zhizheng Zhang · Zhibo Chen
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
BernNet: Learning Arbitrary Graph Spectral Filters via Bernstein Approximation
Mingguo He · Zhewei Wei · zengfeng Huang · Hongteng Xu
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
On learning sparse vectors from mixture of responses
Nikita Polyanskii
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
On the Estimation Bias in Double Q-Learning
Zhizhou Ren · Guangxiang Zhu · Hao Hu · Beining Han · Jianglun Chen · Chongjie Zhang
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Auto-Encoding Knowledge Graph for Unsupervised Medical Report Generation
Fenglin Liu · Chenyu You · Xian Wu · Shen Ge · Sheng wang · Xu Sun
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
From Canonical Correlation Analysis to Self-supervised Graph Neural Networks
Hengrui Zhang · Qitian Wu · Junchi Yan · David Wipf · Philip S Yu
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Powerpropagation: A sparsity inducing weight reparameterisation
Jonathan Richard Schwarz · Siddhant Jayakumar · Razvan Pascanu · Peter E Latham · Yee Teh
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Learning curves of generic features maps for realistic datasets with a teacher-student model
Bruno Loureiro · Cedric Gerbelot · Hugo Cui · Sebastian Goldt · Florent Krzakala · Marc Mezard · Lenka Zdeborová
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Stochastic Shortest Path: Minimax, Parameter-Free and Towards Horizon-Free Regret
Jean Tarbouriech · Runlong Zhou · Simon Du · Matteo Pirotta · Michal Valko · Alessandro Lazaric
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
SWAD: Domain Generalization by Seeking Flat Minima
Junbum Cha · Sanghyuk Chun · Kyungjae Lee · Han-Cheol Cho · Seunghyun Park · Yunsung Lee · Sungrae Park
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Information Directed Reward Learning for Reinforcement Learning
David Lindner · Matteo Turchetta · Sebastian Tschiatschek · Kamil Ciosek · Andreas Krause
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Associating Objects with Transformers for Video Object Segmentation
Zongxin Yang · Yunchao Wei · Yi Yang
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Agent Modelling under Partial Observability for Deep Reinforcement Learning
Georgios Papoudakis · Filippos Christianos · Stefano Albrecht
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Self-Supervised Learning Disentangled Group Representation as Feature
Tan Wang · Zhongqi Yue · Jianqiang Huang · Qianru Sun · Hanwang Zhang
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Optimizing Information-theoretical Generalization Bound via Anisotropic Noise of SGLD
Bohan Wang · Huishuai Zhang · Jieyu Zhang · Qi Meng · Wei Chen · Tie-Yan Liu
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
Co-evolution Transformer for Protein Contact Prediction
He Zhang · Fusong Ju · Jianwei Zhu · Liang He · Bin Shao · Nanning Zheng · Tie-Yan Liu
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Task-Adaptive Neural Network Search with Meta-Contrastive Learning
Wonyong Jeong · Hayeon Lee · Geon Park · Eunyoung Hyung · Jinheon Baek · Sung Ju Hwang
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Learning to Learn Graph Topologies
Xingyue Pu · Tianyue Cao · Xiaoyun Zhang · Xiaowen Dong · Siheng Chen
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Active Assessment of Prediction Services as Accuracy Surface Over Attribute Combinations
Vihari Piratla · Soumen Chakrabarti · Sunita Sarawagi
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Learning Equivariant Energy Based Models with Equivariant Stein Variational Gradient Descent
Priyank Jaini · Lars Holdijk · Max Welling
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Recurrence along Depth: Deep Convolutional Neural Networks with Recurrent Layer Aggregation
Jingyu Zhao · Yanwen Fang · Guodong Li
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Hardware-adaptive Efficient Latency Prediction for NAS via Meta-Learning
Hayeon Lee · Sewoong Lee · Song Chong · Sung Ju Hwang
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Global-aware Beam Search for Neural Abstractive Summarization
Ye Ma · Zixun Lan · Lu Zong · Kaizhu Huang
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
STORM+: Fully Adaptive SGD with Recursive Momentum for Nonconvex Optimization
Kfir Levy · Ali Kavis · Volkan Cevher
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
Diversity Matters When Learning From Ensembles
Giung Nam · Jongmin Yoon · Yoonho Lee · Juho Lee
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Asynchronous Decentralized Online Learning
Jiyan Jiang · Wenpeng Zhang · Jinjie GU · Wenwu Zhu
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Denoising Normalizing Flow
Christian Horvat · Jean-Pascal Pfister
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Effective Meta-Regularization by Kernelized Proximal Regularization
Weisen Jiang · James Kwok · Yu Zhang
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Knowledge-Adaptation Priors
Mohammad Emtiyaz Khan · Siddharth Swaroop
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
No Fear of Heterogeneity: Classifier Calibration for Federated Learning with Non-IID Data
Mi Luo · Fei Chen · Dapeng Hu · Yifan Zhang · Jian Liang · Jiashi Feng
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Multi-Label Learning with Pairwise Relevance Ordering
Ming-Kun Xie · Sheng-Jun Huang
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
Scalable Quasi-Bayesian Inference for Instrumental Variable Regression
Ziyu Wang · Yuhao Zhou · Tongzheng Ren · Jun Zhu
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
Gradient Inversion with Generative Image Prior
Jinwoo Jeon · jaechang Kim · Kangwook Lee · Sewoong Oh · Jungseul Ok
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
Intermediate Layers Matter in Momentum Contrastive Self Supervised Learning
Aakash Kaku · Sahana Upadhya · Narges Razavian
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Do Different Tracking Tasks Require Different Appearance Models?
Zhongdao Wang · Hengshuang Zhao · Ya-Li Li · Shengjin Wang · Philip Torr · Luca Bertinetto
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Mosaicking to Distill: Knowledge Distillation from Out-of-Domain Data
Gongfan Fang · Yifan Bao · Jie Song · Xinchao Wang · Donglin Xie · Chengchao Shen · Mingli Song
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Uncertainty Calibration for Ensemble-Based Debiasing Methods
Ruibin Xiong · Yimeng Chen · Liang Pang · Xueqi Cheng · Zhi-Ming Ma · Yanyan Lan
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Activation Sharing with Asymmetric Paths Solves Weight Transport Problem without Bidirectional Connection
Sunghyeon Woo · Jeongwoo Park · Jiwoo Hong · Dongsuk Jeon
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Catalytic Role Of Noise And Necessity Of Inductive Biases In The Emergence Of Compositional Communication
Łukasz Kuciński · Tomasz Korbak · Paweł Kołodziej · Piotr Miłoś
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Bandits with many optimal arms
Rianne de Heide · James Cheshire · Pierre Ménard · Alexandra Carpentier
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Faster Algorithms and Constant Lower Bounds for the Worst-Case Expected Error
Jonah Brown-Cohen
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Preserved central model for faster bidirectional compression in distributed settings
Constantin Philippenko · Aymeric Dieuleveut
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Reinforced Few-Shot Acquisition Function Learning for Bayesian Optimization
Bing-Jing Hsieh · Ping-Chun Hsieh · Xi Liu
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Actively Identifying Causal Effects with Latent Variables Given Only Response Variable Observable
Tian-Zuo Wang · Zhi-Hua Zhou
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
Manifold Topology Divergence: a Framework for Comparing Data Manifolds.
Serguei Barannikov · Ilya Trofimov · Grigorii Sotnikov · Ekaterina Trimbach · Alexander Korotin · Alexander Filippov · Evgeny Burnaev
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Compositional Reinforcement Learning from Logical Specifications
Kishor Jothimurugan · Suguman Bansal · Osbert Bastani · Rajeev Alur
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Model, sample, and epoch-wise descents: exact solution of gradient flow in the random feature model
Antoine Bodin · Nicolas Macris
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Wasserstein Flow Meets Replicator Dynamics: A Mean-Field Analysis of Representation Learning in Actor-Critic
Yufeng Zhang · Siyu Chen · Zhuoran Yang · Michael Jordan · Zhaoran Wang
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
SSAL: Synergizing between Self-Training and Adversarial Learning for Domain Adaptive Object Detection
Muhammad Akhtar Munir · Muhammad Haris Khan · M. Sarfraz · Mohsen Ali
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Chebyshev-Cantelli PAC-Bayes-Bennett Inequality for the Weighted Majority Vote
Yi-Shan Wu · Andres Masegosa · Stephan Lorenzen · Christian Igel · Yevgeny Seldin
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
History Aware Multimodal Transformer for Vision-and-Language Navigation
Shizhe Chen · Pierre-Louis Guhur · Cordelia Schmid · Ivan Laptev
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Distributional Reinforcement Learning for Multi-Dimensional Reward Functions
Pushi Zhang · Xiaoyu Chen · Li Zhao · Wei Xiong · Tao Qin · Tie-Yan Liu
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Efficient and Local Parallel Random Walks
Michael Kapralov · Silvio Lattanzi · Navid Nouri · Jakab Tardos
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Online Meta-Learning via Learning with Layer-Distributed Memory
Sudarshan Babu · Pedro Savarese · Michael Maire
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Stochastic Multi-Armed Bandits with Control Variates
Arun Verma · Manjesh Kumar Hanawal
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
POODLE: Improving Few-shot Learning via Penalizing Out-of-Distribution Samples
Duong Le · Khoi Duc Nguyen · Khoi Nguyen · Quoc-Huy Tran · Rang Nguyen · Binh-Son Hua
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Trash or Treasure? An Interactive Dual-Stream Strategy for Single Image Reflection Separation
Qiming Hu · Xiaojie Guo
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
IA-RED$^2$: Interpretability-Aware Redundancy Reduction for Vision Transformers
Bowen Pan · Rameswar Panda · Yifan Jiang · Zhangyang Wang · Rogerio Feris · Aude Oliva
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Error Compensated Distributed SGD Can Be Accelerated
Xun Qian · Peter Richtarik · Tong Zhang
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Asynchronous Decentralized SGD with Quantized and Local Updates
Giorgi Nadiradze · Amirmojtaba Sabour · Peter Davies · Shigang Li · Dan Alistarh
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
How Tight Can PAC-Bayes be in the Small Data Regime?
Andrew Foong · Wessel Bruinsma · David Burt · Richard Turner
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Going Beyond Linear RL: Sample Efficient Neural Function Approximation
Baihe Huang · Kaixuan Huang · Sham Kakade · Jason Lee · Qi Lei · Runzhe Wang · Jiaqi Yang
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
One Loss for All: Deep Hashing with a Single Cosine Similarity based Learning Objective
Jiun Tian Hoe · Kam Woh Ng · Tianyu Zhang · Chee Seng Chan · Yi-Zhe Song · Tao Xiang
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
On the Provable Generalization of Recurrent Neural Networks
Lifu Wang · Bo Shen · Bo Hu · Xing Cao
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Nearly Minimax Optimal Reinforcement Learning for Discounted MDPs
Jiafan He · Dongruo Zhou · Quanquan Gu
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Self-Paced Contrastive Learning for Semi-supervised Medical Image Segmentation with Meta-labels
Jizong Peng · Ping Wang · Christian Desrosiers · Marco Pedersoli
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST) @ Virtual
Overlapping Spaces for Compact Graph Representations
Kirill Shevkunov · Liudmila Prokhorenkova
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Hypergraph Propagation and Community Selection for Objects Retrieval
Guoyuan An · Yuchi Huo · Sung-eui Yoon
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Numerical Composition of Differential Privacy
Sivakanth Gopi · Yin Tat Lee · Lukas Wutschitz
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Latent Matters: Learning Deep State-Space Models
Alexej Klushyn · Richard Kurle · Maximilian Soelch · Botond Cseke · Patrick van der Smagt
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Learning Stable Deep Dynamics Models for Partially Observed or Delayed Dynamical Systems
Andreas Schlaginhaufen · Philippe Wenk · Andreas Krause · Florian Dorfler
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Subgoal Search For Complex Reasoning Tasks
Konrad Czechowski · Tomasz Odrzygóźdź · Marek Zbysiński · Michał Zawalski · Krzysztof Olejnik · Yuhuai Wu · Łukasz Kuciński · Piotr Miłoś
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
DropGNN: Random Dropouts Increase the Expressiveness of Graph Neural Networks
Pál András Papp · Karolis Martinkus · Lukas Faber · Roger Wattenhofer
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Reducing the Covariate Shift by Mirror Samples in Cross Domain Alignment
Yin Zhao · minquan wang · Longjun Cai
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Kernel Functional Optimisation
Arun Kumar Anjanapura Venkatesh · Alistair Shilton · Santu Rana · Sunil Gupta · Svetha Venkatesh
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Low-Fidelity Video Encoder Optimization for Temporal Action Localization
Mengmeng Xu · Juan Manuel Perez Rua · Xiatian Zhu · Bernard Ghanem · Brais Martinez
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Beyond Smoothness: Incorporating Low-Rank Analysis into Nonparametric Density Estimation
Robert Vandermeulen · Antoine Ledent
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
Stochastic bandits with groups of similar arms.
Fabien Pesquerel · Hassan SABER · Odalric-Ambrym Maillard
Poster
Thu Dec 09 12:30 AM -- 02:00 AM (PST)
CLDA: Contrastive Learning for Semi-Supervised Domain Adaptation
Ankit Singh
Invited Talk (Interview)
Thu Dec 09 07:00 AM -- 08:30 AM (PST)
A Conversation on Human and Machine Intelligence
Daniel Kahneman
Datasets and Benchmarks
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Dataset and Benchmark Poster Session 3
Joaquin Vanschoren · Serena Yeung
Demonstration
Thu Dec 09 08:30 AM -- 09:35 AM (PST) @ Virtual
Demonstrations 3
Douwe Kiela · Barbara Caputo · Marco Ciccone
[ Slides
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Learning Markov State Abstractions for Deep Reinforcement Learning
Cameron Allen · Neev Parikh · Omer Gottesman · George Konidaris
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Tree in Tree: from Decision Trees to Decision Graphs
Bingzhao Zhu · Mahsa Shoaran
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST) @ Virtual
Group Equivariant Subsampling
Jin Xu · Hyunjik Kim · Thomas Rainforth · Yee Teh
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Differential Privacy Dynamics of Langevin Diffusion and Noisy Gradient Descent
Rishav Chourasia · Jiayuan Ye · Reza Shokri
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Improving Conditional Coverage via Orthogonal Quantile Regression
Shai Feldman · Stephen Bates · Yaniv Romano
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Adaptive Ensemble Q-learning: Minimizing Estimation Bias via Error Feedback
Hang Wang · Sen Lin · Junshan Zhang
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Evaluation of Human-AI Teams for Learned and Rule-Based Agents in Hanabi
Ho Chit Siu · Jaime Peña · Edenna Chen · Yutai Zhou · Victor Lopez · Kyle Palko · Kimberlee Chang · Ross Allen
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Dense Keypoints via Multiview Supervision
Zhixuan Yu · Haozheng Yu · Long Sha · Sujoy Ganguly · Hyun Soo Park
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction
Peng Wang · Lingjie Liu · Yuan Liu · Christian Theobalt · Taku Komura · Wenping Wang
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Logarithmic Regret in Feature-based Dynamic Pricing
Jianyu Xu · Yu-Xiang Wang
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Adapting to function difficulty and growth conditions in private optimization
Hilal Asi · Daniel Levy · John Duchi
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Machine Learning for Variance Reduction in Online Experiments
Yongyi Guo · Dominic Coey · Mikael Konutgan · Wenting Li · Chris Schoener · Matt Goldman
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Individual Privacy Accounting via a Rényi Filter
Vitaly Feldman · Tijana Zrnic
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
PDE-GCN: Novel Architectures for Graph Neural Networks Motivated by Partial Differential Equations
Moshe Eliasof · Eldad Haber · Eran Treister
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Towards Tight Communication Lower Bounds for Distributed Optimisation
Janne H. Korhonen · Dan Alistarh
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Last-iterate Convergence in Extensive-Form Games
Chung-Wei Lee · Christian Kroer · Haipeng Luo
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Functional Variational Inference based on Stochastic Process Generators
Chao Ma · José Miguel Hernández-Lobato
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Accelerated Sparse Neural Training: A Provable and Efficient Method to Find N:M Transposable Masks
Itay Hubara · Brian Chmiel · Moshe Island · Ron Banner · Joseph Naor · Daniel Soudry
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Scalars are universal: Equivariant machine learning, structured like classical physics
Soledad Villar · David W Hogg · Kate Storey-Fisher · Weichi Yao · Ben Blum-Smith
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Faster proximal algorithms for matrix optimization using Jacobi-based eigenvalue methods
Hamza Fawzi · Harry Goulbourne
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
CAFE: Catastrophic Data Leakage in Vertical Federated Learning
Xiao Jin · Pin-Yu Chen · Chia-Yi Hsu · Chia-Mu Yu · Tianyi Chen
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Improved Regret Bounds for Tracking Experts with Memory
James Robinson · Mark Herbster
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
NeRV: Neural Representations for Videos
Hao Chen · Bo He · Hanyu Wang · Yixuan Ren · Ser Nam Lim · Abhinav Shrivastava
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Locally private online change point detection
Tom Berrett · Yi Yu
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Probabilistic Forecasting: A Level-Set Approach
Hilaf Hasson · Bernie Wang · Tim Januschowski · Jan Gasthaus
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Adaptive Machine Unlearning
Varun Gupta · Christopher Jung · Seth Neel · Aaron Roth · Saeed Sharifi-Malvajerdi · Chris Waites
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Deep Networks Provably Classify Data on Curves
Tingran Wang · Sam Buchanan · Dar Gilboa · John Wright
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Towards Best-of-All-Worlds Online Learning with Feedback Graphs
Liad Erez · Tomer Koren
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Fast Multi-Resolution Transformer Fine-tuning for Extreme Multi-label Text Classification
Jiong Zhang · Wei-Cheng Chang · Hsiang-Fu Yu · Inderjit Dhillon
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Label-Imbalanced and Group-Sensitive Classification under Overparameterization
Ganesh Ramachandra Kini · Orestis Paraskevas · Samet Oymak · Christos Thrampoulidis
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
The Skellam Mechanism for Differentially Private Federated Learning
Naman Agarwal · Peter Kairouz · Ken Liu
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Pipeline Combinators for Gradual AutoML
Guillaume Baudart · Martin Hirzel · Kiran Kate · Parikshit Ram · Avi Shinnar · Jason Tsay
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Exploring Cross-Video and Cross-Modality Signals for Weakly-Supervised Audio-Visual Video Parsing
Yan-Bo Lin · Hung-Yu Tseng · Hsin-Ying Lee · Yen-Yu Lin · Ming-Hsuan Yang
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
DECAF: Generating Fair Synthetic Data Using Causally-Aware Generative Networks
Boris van Breugel · Trent Kyono · Jeroen Berrevoets · Mihaela van der Schaar
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
The Lazy Online Subgradient Algorithm is Universal on Strongly Convex Domains
Daron Anderson · Douglas Leith
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Multi-Scale Representation Learning on Proteins
Vignesh Ram Somnath · Charlotte Bunne · Andreas Krause
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST) @ Virtual
When in Doubt: Neural Non-Parametric Uncertainty Quantification for Epidemic Forecasting
Harshavardhan Kamarthi · Lingkai Kong · Alexander Rodriguez · Chao Zhang · B. Aditya Prakash
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Analytic Insights into Structure and Rank of Neural Network Hessian Maps
Sidak Pal Singh · Gregor Bachmann · Thomas Hofmann
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
FACMAC: Factored Multi-Agent Centralised Policy Gradients
Bei Peng · Tabish Rashid · Christian Schroeder de Witt · Pierre-Alexandre Kamienny · Philip Torr · Wendelin Boehmer · Shimon Whiteson
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Benign Overfitting in Multiclass Classification: All Roads Lead to Interpolation
Ke Wang · Vidya Muthukumar · Christos Thrampoulidis
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Online Adaptation to Label Distribution Shift
Ruihan Wu · Chuan Guo · Yi Su · Kilian Weinberger
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Margin-Independent Online Multiclass Learning via Convex Geometry
Guru Guruganesh · Allen Liu · Jon Schneider · Joshua Wang
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Learning with User-Level Privacy
Daniel Levy · Ziteng Sun · Kareem Amin · Satyen Kale · Alex Kulesza · Mehryar Mohri · Ananda Theertha Suresh
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Dr Jekyll & Mr Hyde: the strange case of off-policy policy updates
Romain Laroche · Remi Tachet des Combes
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
OpenMatch: Open-Set Semi-supervised Learning with Open-set Consistency Regularization
Kuniaki Saito · Donghyun Kim · Kate Saenko
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Locally differentially private estimation of functionals of discrete distributions
Cristina Butucea · Yann ISSARTEL
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Asymptotics of the Bootstrap via Stability with Applications to Inference with Model Selection
Morgane Austern · Vasilis Syrgkanis
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST) @ Virtual
Efficient hierarchical Bayesian inference for spatio-temporal regression models in neuroimaging
Ali Hashemi · Yijing Gao · Chang Cai · Sanjay Ghosh · Klaus-Robert Müller · Srikantan Nagarajan · Stefan Haufe
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST) @ Virtual
Federated Multi-Task Learning under a Mixture of Distributions
Othmane Marfoq · Giovanni Neglia · Aurélien Bellet · Laetitia Kameni · Richard Vidal
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Mixture Proportion Estimation and PU Learning:A Modern Approach
Saurabh Garg · Yifan Wu · Alexander Smola · Sivaraman Balakrishnan · Zachary Lipton
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Local Disentanglement in Variational Auto-Encoders Using Jacobian $L_1$ Regularization
Travers Rhodes · Daniel Lee
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST) @ Virtual
Detecting Individual Decision-Making Style: Exploring Behavioral Stylometry in Chess
Reid McIlroy-Young · Russell Wang · Siddhartha Sen · Jon Kleinberg · Ashton Anderson
[ Slides
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Characterizing Generalization under Out-Of-Distribution Shifts in Deep Metric Learning
Timo Milbich · Karsten Roth · Samarth Sinha · Ludwig Schmidt · Marzyeh Ghassemi · Bjorn Ommer
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST) @ Virtual
Fast Pure Exploration via Frank-Wolfe
Po-An Wang · Ruo-Chun Tzeng · Alexandre Proutiere
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Light Field Networks: Neural Scene Representations with Single-Evaluation Rendering
Vincent Sitzmann · Semon Rezchikov · Bill Freeman · Josh Tenenbaum · Fredo Durand
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Pay Better Attention to Attention: Head Selection in Multilingual and Multi-Domain Sequence Modeling
Hongyu Gong · Yun Tang · Juan Pino · Xian Li
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Shared Independent Component Analysis for Multi-Subject Neuroimaging
Hugo Richard · Pierre Ablin · Bertrand Thirion · Alexandre Gramfort · Aapo Hyvarinen
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Decision Transformer: Reinforcement Learning via Sequence Modeling
Lili Chen · Kevin Lu · Aravind Rajeswaran · Kimin Lee · Aditya Grover · Misha Laskin · Pieter Abbeel · Aravind Srinivas · Igor Mordatch
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Learning in two-player zero-sum partially observable Markov games with perfect recall
Tadashi Kozuno · Pierre Ménard · Remi Munos · Michal Valko
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Post-processing for Individual Fairness
Felix Petersen · Debarghya Mukherjee · Yuekai Sun · Mikhail Yurochkin
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Drop-DTW: Aligning Common Signal Between Sequences While Dropping Outliers
Mikita Dvornik · Isma Hadji · Konstantinos Derpanis · Animesh Garg · Allan Jepson
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST) @ Virtual
Neural Trees for Learning on Graphs
Rajat Talak · Siyi Hu · Lisa Peng · Luca Carlone
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST) @ Virtual
Learning Policies with Zero or Bounded Constraint Violation for Constrained MDPs
Tao Liu · Ruida Zhou · Dileep Kalathil · P. R. Kumar · Chao Tian
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Linear and Kernel Classification in the Streaming Model: Improved Bounds for Heavy Hitters
Arvind Mahankali · David Woodruff
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Relaxed Marginal Consistency for Differentially Private Query Answering
Ryan McKenna · Siddhant Pradhan · Daniel Sheldon · Gerome Miklau
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Boosting with Multiple Sources
Corinna Cortes · Mehryar Mohri · Dmitry Storcheus · Ananda Theertha Suresh
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Understanding End-to-End Model-Based Reinforcement Learning Methods as Implicit Parameterization
Clement Gehring · Kenji Kawaguchi · Jiaoyang Huang · Leslie Kaelbling
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Storchastic: A Framework for General Stochastic Automatic Differentiation
Emile van Krieken · Jakub Tomczak · Annette Ten Teije
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
GENESIS-V2: Inferring Unordered Object Representations without Iterative Refinement
Martin Engelcke · Oiwi Parker Jones · Ingmar Posner
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Reliable Decisions with Threshold Calibration
Roshni Sahoo · Shengjia Zhao · Alyssa Chen · Stefano Ermon
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Adaptive Sampling for Minimax Fair Classification
Shubhanshu Shekhar · Greg Fields · Mohammad Ghavamzadeh · Tara Javidi
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Minimizing Polarization and Disagreement in Social Networks via Link Recommendation
Liwang Zhu · Qi Bao · Zhongzhi Zhang
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST) @ Virtual
Settling the Variance of Multi-Agent Policy Gradients
Jakub Grudzien Kuba · Muning Wen · Linghui Meng · shangding gu · Haifeng Zhang · David Mguni · Jun Wang · Yaodong Yang
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Improving Compositionality of Neural Networks by Decoding Representations to Inputs
Mike Wu · Noah Goodman · Stefano Ermon
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Average-Reward Learning and Planning with Options
Yi Wan · Abhishek Naik · Rich Sutton
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST) @ Virtual
Slow Learning and Fast Inference: Efficient Graph Similarity Computation via Knowledge Distillation
Can Qin · Handong Zhao · Lichen Wang · Huan Wang · Yulun Zhang · Yun Fu
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
(Almost) Free Incentivized Exploration from Decentralized Learning Agents
Chengshuai Shi · Haifeng Xu · Wei Xiong · Cong Shen
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
EditGAN: High-Precision Semantic Image Editing
Huan Ling · Karsten Kreis · Daiqing Li · Seung Wook Kim · Antonio Torralba · Sanja Fidler
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Coresets for Decision Trees of Signals
Ibrahim Jubran · Ernesto Evgeniy Sanches Shayda · Ilan I Newman · Dan Feldman
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Photonic Differential Privacy with Direct Feedback Alignment
Ruben Ohana · Hamlet Medina · Julien Launay · Alessandro Cappelli · Iacopo Poli · Liva Ralaivola · Alain Rakotomamonjy
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Multiclass Boosting and the Cost of Weak Learning
Nataly Brukhim · Elad Hazan · Shay Moran · Indraneel Mukherjee · Robert Schapire
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST) @ Virtual
Boosted CVaR Classification
Runtian Zhai · Chen Dan · Arun Suggala · J. Zico Kolter · Pradeep Ravikumar
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST) @ Virtual
Outcome-Driven Reinforcement Learning via Variational Inference
Tim G. J. Rudner · Vitchyr Pong · Rowan McAllister · Yarin Gal · Sergey Levine
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Learning to Predict Trustworthiness with Steep Slope Loss
Yan Luo · Yongkang Wong · Mohan Kankanhalli · Qi Zhao
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Dynamic influence maximization
Binghui Peng
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Representation Costs of Linear Neural Networks: Analysis and Design
Zhen Dai · Mina Karzand · Nathan Srebro
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Equilibrium Refinement for the Age of Machines: The One-Sided Quasi-Perfect Equilibrium
Gabriele Farina · Tuomas Sandholm
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Neural Tangent Kernel Maximum Mean Discrepancy
Xiuyuan Cheng · Yao Xie
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Who Leads and Who Follows in Strategic Classification?
Tijana Zrnic · Eric Mazumdar · Shankar Sastry · Michael Jordan
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Don’t Generate Me: Training Differentially Private Generative Models with Sinkhorn Divergence
Tianshi Cao · Alex Bie · Arash Vahdat · Sanja Fidler · Karsten Kreis
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
LEADS: Learning Dynamical Systems that Generalize Across Environments
Yuan Yin · Ibrahim Ayed · Emmanuel de Bézenac · Nicolas Baskiotis · Patrick Gallinari
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Privately Learning Mixtures of Axis-Aligned Gaussians
Ishaq Aden-Ali · Hassan Ashtiani · Christopher Liaw
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Differentiable Multiple Shooting Layers
Stefano Massaroli · Michael Poli · Sho Sonoda · Taiji Suzuki · Jinkyoo Park · Atsushi Yamashita · Hajime Asama
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Federated Hyperparameter Tuning: Challenges, Baselines, and Connections to Weight-Sharing
Mikhail Khodak · Renbo Tu · Tian Li · Liam Li · Maria-Florina Balcan · Virginia Smith · Ameet Talwalkar
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Similarity and Matching of Neural Network Representations
Adrián Csiszárik · Péter Kőrösi-Szabó · Ákos Matszangosz · Gergely Papp · Dániel Varga
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Two-sided fairness in rankings via Lorenz dominance
Virginie Do · Sam Corbett-Davies · Jamal Atif · Nicolas Usunier
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Differentially Private Sampling from Distributions
Sofya Raskhodnikova · Satchit Sivakumar · Adam Smith · Marika Swanberg
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Fixes That Fail: Self-Defeating Improvements in Machine-Learning Systems
Ruihan Wu · Chuan Guo · Awni Hannun · Laurens van der Maaten
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Inverse Problems Leveraging Pre-trained Contrastive Representations
Sriram Ravula · Georgios Smyrnis · Matt Jordan · Alex Dimakis
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Private and Non-private Uniformity Testing for Ranking Data
Róbert Busa-Fekete · Dimitris Fotakis · Emmanouil Zampetakis
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Best-case lower bounds in online learning
Cristóbal Guzmán · Nishant Mehta · Ali Mortazavi
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Linear Convergence in Federated Learning: Tackling Client Heterogeneity and Sparse Gradients
Aritra Mitra · Rayana Jaafar · George J. Pappas · Hamed Hassani
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Unsupervised Learning of Compositional Energy Concepts
Yilun Du · Shuang Li · Yash Sharma · Josh Tenenbaum · Igor Mordatch
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST) @ Virtual
Risk-Aware Transfer in Reinforcement Learning using Successor Features
Michael Gimelfarb · Andre Barreto · Scott Sanner · Chi-Guhn Lee
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST) @ Virtual
Topological Attention for Time Series Forecasting
Sebastian Zeng · Florian Graf · Christoph Hofer · Roland Kwitt
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Fair Algorithms for Multi-Agent Multi-Armed Bandits
Safwan Hossain · Evi Micha · Nisarg Shah
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
SOAT: A Scene- and Object-Aware Transformer for Vision-and-Language Navigation
Abhinav Moudgil · Arjun Majumdar · Harsh Agrawal · Stefan Lee · Dhruv Batra
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
CogView: Mastering Text-to-Image Generation via Transformers
Ming Ding · Zhuoyi Yang · Wenyi Hong · Wendi Zheng · Chang Zhou · Da Yin · Junyang Lin · Xu Zou · Zhou Shao · Hongxia Yang · Jie Tang
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Fair Clustering Under a Bounded Cost
Seyed Esmaeili · Brian Brubach · Aravind Srinivasan · John Dickerson
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Solving Min-Max Optimization with Hidden Structure via Gradient Descent Ascent
Emmanouil-Vasileios Vlatakis-Gkaragkounis · Lampros Flokas · Georgios Piliouras
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Assessing Fairness in the Presence of Missing Data
Yiliang Zhang · Qi Long
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Privately Publishable Per-instance Privacy
Rachel Redberg · Yu-Xiang Wang
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
MCMC Variational Inference via Uncorrected Hamiltonian Annealing
Tomas Geffner · Justin Domke
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
A Geometric Perspective towards Neural Calibration via Sensitivity Decomposition
Junjiao Tian · Dylan Yung · Yen-Chang Hsu · Zsolt Kira
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Attention over Learned Object Embeddings Enables Complex Visual Reasoning
David Ding · Felix Hill · Adam Santoro · Malcolm Reynolds · Matt Botvinick
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Neural Algorithmic Reasoners are Implicit Planners
Andreea-Ioana Deac · Petar Veličković · Ognjen Milinkovic · Pierre-Luc Bacon · Jian Tang · Mladen Nikolic
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Reinforcement learning for optimization of variational quantum circuit architectures
Mateusz Ostaszewski · Lea M. Trenkwalder · Wojciech Masarczyk · Eleanor Scerri · Vedran Dunjko
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Stochastic Gradient Descent-Ascent and Consensus Optimization for Smooth Games: Convergence Analysis under Expected Co-coercivity
Nicolas Loizou · Hugo Berard · Gauthier Gidel · Ioannis Mitliagkas · Simon Lacoste-Julien
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
On the Sample Complexity of Learning under Geometric Stability
Alberto Bietti · Luca Venturi · Joan Bruna
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Consistent Estimation for PCA and Sparse Regression with Oblivious Outliers
Tommaso d'Orsi · Chih-Hung Liu · Rajai Nasser · Gleb Novikov · David Steurer · Stefan Tiegel
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Replay-Guided Adversarial Environment Design
Minqi Jiang · Michael Dennis · Jack Parker-Holder · Jakob Foerster · Edward Grefenstette · Tim Rocktäschel
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Local Differential Privacy for Regret Minimization in Reinforcement Learning
Evrard Garcelon · Vianney Perchet · Ciara Pike-Burke · Matteo Pirotta
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Automatic Symmetry Discovery with Lie Algebra Convolutional Network
Nima Dehmamy · Robin Walters · Yanchen Liu · Dashun Wang · Rose Yu
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST) @ Virtual
Good Classification Measures and How to Find Them
Martijn Gösgens · Anton Zhiyanov · Aleksey Tikhonov · Liudmila Prokhorenkova
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Landscape analysis of an improved power method for tensor decomposition
Joe Kileel · Timo Klock · João M Pereira
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Statistical Query Lower Bounds for List-Decodable Linear Regression
Ilias Diakonikolas · Daniel Kane · Ankit Pensia · Thanasis Pittas · Alistair Stewart
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Controllable and Compositional Generation with Latent-Space Energy-Based Models
Weili Nie · Arash Vahdat · Anima Anandkumar
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST) @ Virtual
TokenLearner: Adaptive Space-Time Tokenization for Videos
Michael Ryoo · AJ Piergiovanni · Anurag Arnab · Mostafa Dehghani · Anelia Angelova
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
FLEX: Unifying Evaluation for Few-Shot NLP
Jonathan Bragg · Arman Cohan · Kyle Lo · Iz Beltagy
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Double/Debiased Machine Learning for Dynamic Treatment Effects
Greg Lewis · Vasilis Syrgkanis
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Multimodal Few-Shot Learning with Frozen Language Models
Maria Tsimpoukelli · Jacob L Menick · Serkan Cabi · S. M. Ali Eslami · Oriol Vinyals · Felix Hill
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Renyi Differential Privacy of The Subsampled Shuffle Model In Distributed Learning
Antonious Girgis · Deepesh Data · Suhas Diggavi
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Scaling Ensemble Distribution Distillation to Many Classes with Proxy Targets
Max Ryabinin · Andrey Malinin · Mark Gales
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Neural Bootstrapper
Minsuk Shin · Hyungjoo Cho · Hyun-seok Min · Sungbin Lim
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Look at the Variance! Efficient Black-box Explanations with Sobol-based Sensitivity Analysis
Thomas FEL · Remi Cadene · Mathieu Chalvidal · Matthieu Cord · David Vigouroux · Thomas Serre
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Beltrami Flow and Neural Diffusion on Graphs
Benjamin Chamberlain · James Rowbottom · Davide Eynard · Francesco Di Giovanni · Xiaowen Dong · Michael Bronstein
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Circa: Stochastic ReLUs for Private Deep Learning
Zahra Ghodsi · Nandan Kumar Jha · Brandon Reagen · Siddharth Garg
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Explicit loss asymptotics in the gradient descent training of neural networks
Maksim Velikanov · Dmitry Yarotsky
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
PettingZoo: Gym for Multi-Agent Reinforcement Learning
J Terry · Benjamin Black · Nathaniel Grammel · Mario Jayakumar · Ananth Hari · Ryan Sullivan · Luis S Santos · Clemens Dieffendahl · Caroline Horsch · Rodrigo Perez-Vicente · Niall Williams · Yashas Lokesh · Praveen Ravi
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST) @ Virtual
Fair Classification with Adversarial Perturbations
L. Elisa Celis · Anay Mehrotra · Nisheeth Vishnoi
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Score-based Generative Modeling in Latent Space
Arash Vahdat · Karsten Kreis · Jan Kautz
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Practical Large-Scale Linear Programming using Primal-Dual Hybrid Gradient
David Applegate · Mateo Diaz · Oliver Hinder · Haihao Lu · Miles Lubin · Brendan O'Donoghue · Warren Schudy
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST) @ Virtual
Recovery Analysis for Plug-and-Play Priors using the Restricted Eigenvalue Condition
Jiaming Liu · Salman Asif · Brendt Wohlberg · Ulugbek Kamilov
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
NxMTransformer: Semi-Structured Sparsification for Natural Language Understanding via ADMM
Connor Holmes · Minjia Zhang · Yuxiong He · Bo Wu
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Littlestone Classes are Privately Online Learnable
Noah Golowich · Roi Livni
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST) @ Virtual
Probabilistic Attention for Interactive Segmentation
Prasad Gabbur · Manjot Bilkhu · Javier Movellan
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST) @ Virtual
Detecting and Adapting to Irregular Distribution Shifts in Bayesian Online Learning
Aodong Li · Alex Boyd · Padhraic Smyth · Stephan Mandt
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST) @ Virtual
A/B Testing for Recommender Systems in a Two-sided Marketplace
Preetam Nandy · Divya Venugopalan · Chun Lo · Shaunak Chatterjee
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Are My Deep Learning Systems Fair? An Empirical Study of Fixed-Seed Training
Shangshu Qian · Viet Hung Pham · Thibaud Lutellier · Zeou Hu · Jungwon Kim · Lin Tan · Yaoliang Yu · Jiahao Chen · Sameena Shah
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
On Large-Cohort Training for Federated Learning
Zachary Charles · Zachary Garrett · Zhouyuan Huo · Sergei Shmulyian · Virginia Smith
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Causal Navigation by Continuous-time Neural Networks
Charles Vorbach · Ramin Hasani · Alexander Amini · Mathias Lechner · Daniela Rus
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Combining Human Predictions with Model Probabilities via Confusion Matrices and Calibration
Gavin Kerrigan · Padhraic Smyth · Mark Steyvers
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST) @ Virtual
Widening the Pipeline in Human-Guided Reinforcement Learning with Explanation and Context-Aware Data Augmentation
Lin Guan · Mudit Verma · Sihang Guo · Ruohan Zhang · Subbarao Kambhampati
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Searching for Efficient Transformers for Language Modeling
David So · Wojciech Mańke · Hanxiao Liu · Zihang Dai · Noam Shazeer · Quoc V Le
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST) @ Virtual
DRIVE: One-bit Distributed Mean Estimation
Shay Vargaftik · Ran Ben-Basat · Amit Portnoy · Gal Mendelson · Yaniv Ben-Itzhak · Michael Mitzenmacher
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Provable Benefits of Actor-Critic Methods for Offline Reinforcement Learning
Andrea Zanette · Martin J Wainwright · Emma Brunskill
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST) @ Virtual
Differentiable Unsupervised Feature Selection based on a Gated Laplacian
Ofir Lindenbaum · Uri Shaham · Erez Peterfreund · Jonathan Svirsky · Nicolas Casey · Yuval Kluger
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Risk-Averse Bayes-Adaptive Reinforcement Learning
Marc Rigter · Bruno Lacerda · Nick Hawes
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Fast and Memory Efficient Differentially Private-SGD via JL Projections
Zhiqi Bu · Sivakanth Gopi · Janardhan Kulkarni · Yin Tat Lee · Judy Hanwen Shen · Uthaipon Tantipongpipat
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
The Flip Side of the Reweighted Coin: Duality of Adaptive Dropout and Regularization
Daniel LeJeune · Hamid Javadi · Richard Baraniuk
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Hyperparameter Optimization Is Deceiving Us, and How to Stop It
A. Feder Cooper · Yucheng Lu · Jessica Forde · Christopher De Sa
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Distribution-free inference for regression: discrete, continuous, and in between
Yonghoon Lee · Rina Barber
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Approximate Decomposable Submodular Function Minimization for Cardinality-Based Components
Nate Veldt · Austin Benson · Jon Kleinberg
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Federated Reconstruction: Partially Local Federated Learning
Karan Singhal · Hakim Sidahmed · Zachary Garrett · Shanshan Wu · John Rush · Sushant Prakash
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST) @ Virtual
Noisy Recurrent Neural Networks
Soon Hoe Lim · N. Benjamin Erichson · Liam Hodgkinson · Michael Mahoney
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST) @ Virtual
Conformal Bayesian Computation
Edwin Fong · Chris C Holmes
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Enabling Fast Differentially Private SGD via Just-in-Time Compilation and Vectorization
Pranav Subramani · Nicholas Vadivelu · Gautam Kamath
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Offline Meta Reinforcement Learning -- Identifiability Challenges and Effective Data Collection Strategies
Ron Dorfman · Idan Shenfeld · Aviv Tamar
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Streaming Linear System Identification with Reverse Experience Replay
Suhas Kowshik · Dheeraj Nagaraj · Prateek Jain · Praneeth Netrapalli
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Neural Distance Embeddings for Biological Sequences
Gabriele Corso · Zhitao Ying · Michal Pándy · Petar Veličković · Jure Leskovec · Pietro Liò
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Provable Representation Learning for Imitation with Contrastive Fourier Features
Ofir Nachum · Mengjiao (Sherry) Yang
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Unsupervised Motion Representation Learning with Capsule Autoencoders
Ziwei Xu · Xudong Shen · Yongkang Wong · Mohan Kankanhalli
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Explaining heterogeneity in medial entorhinal cortex with task-driven neural networks
Aran Nayebi · Alexander Attinger · Malcolm Campbell · Kiah Hardcastle · Isabel Low · Caitlin S Mallory · Gabriel Mel · Ben Sorscher · Alex H Williams · Surya Ganguli · Lisa Giocomo · Dan Yamins
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Distributed Machine Learning with Sparse Heterogeneous Data
Dominic Richards · Sahand Negahban · Patrick Rebeschini
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Adjusting for Autocorrelated Errors in Neural Networks for Time Series
Fan-Keng Sun · Chris Lang · Duane Boning
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Extending Lagrangian and Hamiltonian Neural Networks with Differentiable Contact Models
Yaofeng Desmond Zhong · Biswadip Dey · Amit Chakraborty
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
A Gang of Adversarial Bandits
Mark Herbster · Stephen Pasteris · Fabio Vitale · Massimiliano Pontil
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Representation Learning Beyond Linear Prediction Functions
Ziping Xu · Ambuj Tewari
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
A Near-Optimal Algorithm for Stochastic Bilevel Optimization via Double-Momentum
Prashant Khanduri · Siliang Zeng · Mingyi Hong · Hoi-To Wai · Zhaoran Wang · Zhuoran Yang
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Continual Auxiliary Task Learning
Matthew McLeod · Chunlok Lo · Matthew Schlegel · Andrew Jacobsen · Raksha Kumaraswamy · Martha White · Adam White
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Scalable Online Planning via Reinforcement Learning Fine-Tuning
Arnaud Fickinger · Hengyuan Hu · Brandon Amos · Stuart Russell · Noam Brown
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Oracle-Efficient Regret Minimization in Factored MDPs with Unknown Structure
Aviv Rosenberg · Yishay Mansour
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Disrupting Deep Uncertainty Estimation Without Harming Accuracy
Ido Galil · Ran El-Yaniv
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Towards robust vision by multi-task learning on monkey visual cortex
Shahd Safarani · Arne Nix · Konstantin Willeke · Santiago Cadena · Kelli Restivo · George Denfield · Andreas Tolias · Fabian Sinz
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Implicit Generative Copulas
Tim Janke · Mohamed Ghanmi · Florian Steinke
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Online false discovery rate control for anomaly detection in time series
Quentin Rebjock · Baris Kurt · Tim Januschowski · Laurent Callot
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST) @ Virtual
Roto-translated Local Coordinate Frames For Interacting Dynamical Systems
Miltiadis Kofinas · Naveen Nagaraja · Stratis Gavves
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Learning Hard Optimization Problems: A Data Generation Perspective
James Kotary · Ferdinando Fioretto · Pascal Van Hentenryck
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Online Knapsack with Frequency Predictions
Sungjin Im · Ravi Kumar · Mahshid Montazer Qaem · Manish Purohit
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
SubTab: Subsetting Features of Tabular Data for Self-Supervised Representation Learning
Talip Ucar · Ehsan Hajiramezanali · Lindsay Edwards
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Perturb-and-max-product: Sampling and learning in discrete energy-based models
Miguel Lazaro-Gredilla · Antoine Dedieu · Dileep George
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
On The Structure of Parametric Tournaments with Application to Ranking from Pairwise Comparisons
Vishnu Veerathu · Arun Rajkumar
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Instance-Conditioned GAN
Arantxa Casanova · Marlene Careil · Jakob Verbeek · Michal Drozdzal · Adriana Romero Soriano
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Planning from Pixels in Environments with Combinatorially Hard Search Spaces
Marco Bagatella · Miroslav Olšák · Michal Rolínek · Georg Martius
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
How to transfer algorithmic reasoning knowledge to learn new algorithms?
Louis-Pascal Xhonneux · Andreea-Ioana Deac · Petar Veličković · Jian Tang
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
FjORD: Fair and Accurate Federated Learning under heterogeneous targets with Ordered Dropout
Samuel Horváth · Stefanos Laskaridis · Mario Almeida · Ilias Leontiadis · Stylianos Venieris · Nicholas Lane
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Periodic Activation Functions Induce Stationarity
Lassi Meronen · Martin Trapp · Arno Solin
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Representation Learning for Event-based Visuomotor Policies
Sai Vemprala · Sami Mian · Ashish Kapoor
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST) @ Virtual
Disentangling Identifiable Features from Noisy Data with Structured Nonlinear ICA
Hermanni Hälvä · Sylvain Le Corff · Luc Lehéricy · Jonathan So · Yongjie Zhu · Elisabeth Gassiat · Aapo Hyvarinen
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Logarithmic Regret from Sublinear Hints
Aditya Bhaskara · Ashok Cutkosky · Ravi Kumar · Manish Purohit
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Asynchronous Stochastic Optimization Robust to Arbitrary Delays
Alon Cohen · Amit Daniely · Yoel Drori · Tomer Koren · Mariano Schain
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Revisiting Contrastive Methods for Unsupervised Learning of Visual Representations
Wouter Van Gansbeke · Simon Vandenhende · Stamatios Georgoulis · Luc V Gool
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Towards Multi-Grained Explainability for Graph Neural Networks
Xiang Wang · Yingxin Wu · An Zhang · Xiangnan He · Tat-Seng Chua
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Parameter Inference with Bifurcation Diagrams
Gregory Szep · Neil Dalchau · Attila Csikász-Nagy
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST) @ Virtual
Breaking the centralized barrier for cross-device federated learning
Sai Praneeth Karimireddy · Martin Jaggi · Satyen Kale · Mehryar Mohri · Sashank Reddi · Sebastian Stich · Ananda Theertha Suresh
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Stochastic Bias-Reduced Gradient Methods
Hilal Asi · Yair Carmon · Arun Jambulapati · Yujia Jin · Aaron Sidford
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Online Market Equilibrium with Application to Fair Division
Yuan Gao · Alex Peysakhovich · Christian Kroer
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Efficient Training of Retrieval Models using Negative Cache
Erik Lindgren · Sashank Reddi · Ruiqi Guo · Sanjiv Kumar
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Glance-and-Gaze Vision Transformer
Qihang Yu · Yingda Xia · Yutong Bai · Yongyi Lu · Alan Yuille · Wei Shen
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Can Less be More? When Increasing-to-Balancing Label Noise Rates Considered Beneficial
Yang Liu · Jialu Wang
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
On the Importance of Gradients for Detecting Distributional Shifts in the Wild
Rui Huang · Andrew Geng · Yixuan Li
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Ensembling Graph Predictions for AMR Parsing
Thanh Lam Hoang · Gabriele Picco · Yufang Hou · Young-Suk Lee · Lam Nguyen · Dzung Phan · Vanessa Lopez · Ramon Fernandez Astudillo
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Towards Context-Agnostic Learning Using Synthetic Data
Charles Jin · Martin Rinard
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
NeuroLKH: Combining Deep Learning Model with Lin-Kernighan-Helsgaun Heuristic for Solving the Traveling Salesman Problem
Liang Xin · Wen Song · Zhiguang Cao · Jie Zhang
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Near-Optimal No-Regret Learning in General Games
Constantinos Daskalakis · Maxwell Fishelson · Noah Golowich
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST) @ Virtual
End-to-End Weak Supervision
Salva Rühling Cachay · Benedikt Boecking · Artur Dubrawski
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
A Near-Optimal Algorithm for Debiasing Trained Machine Learning Models
Ibrahim Alabdulmohsin · Mario Lucic
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
ATISS: Autoregressive Transformers for Indoor Scene Synthesis
Despoina Paschalidou · Amlan Kar · Maria Shugrina · Karsten Kreis · Andreas Geiger · Sanja Fidler
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
On the Sample Complexity of Privately Learning Axis-Aligned Rectangles
Menachem Sadigurschi · Uri Stemmer
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Test-time Collective Prediction
Celestine Mendler-Dünner · Wenshuo Guo · Stephen Bates · Michael Jordan
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
NeuroMLR: Robust & Reliable Route Recommendation on Road Networks
Jayant Jain · Vrittika Bagadia · Sahil Manchanda · Sayan Ranu
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
ViSER: Video-Specific Surface Embeddings for Articulated 3D Shape Reconstruction
Gengshan Yang · Deqing Sun · Varun Jampani · Daniel Vlasic · Forrester Cole · Ce Liu · Deva Ramanan
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST) @ Virtual
Recurrent Bayesian Classifier Chains for Exact Multi-Label Classification
Walter Gerych · Thomas Hartvigsen · Luke Buquicchio · Emmanuel Agu · Elke A. Rundensteiner
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Shaping embodied agent behavior with activity-context priors from egocentric video
Tushar Nagarajan · Kristen Grauman
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Federated Graph Classification over Non-IID Graphs
Han Xie · Jing Ma · Li Xiong · Carl Yang
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Differentially Private n-gram Extraction
Kunho Kim · Sivakanth Gopi · Janardhan Kulkarni · Sergey Yekhanin
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
An online passive-aggressive algorithm for difference-of-squares classification
Lawrence Saul
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST) @ Virtual
Exploration-Exploitation in Multi-Agent Competition: Convergence with Bounded Rationality
Stefanos Leonardos · Georgios Piliouras · Kelly Spendlove
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST) @ Virtual
Least Square Calibration for Peer Reviews
Sijun Tan · Jibang Wu · Xiaohui Bei · Haifeng Xu
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Unsupervised Speech Recognition
Alexei Baevski · Wei-Ning Hsu · Alexis CONNEAU · Michael Auli
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST) @ Virtual
Curriculum Offline Imitating Learning
Minghuan Liu · Hanye Zhao · Zhengyu Yang · Jian Shen · Weinan Zhang · Li Zhao · Tie-Yan Liu
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Online Control of Unknown Time-Varying Dynamical Systems
Edgar Minasyan · Paula Gradu · Max Simchowitz · Elad Hazan
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
D2C: Diffusion-Decoding Models for Few-Shot Conditional Generation
Abhishek Sinha · Jiaming Song · Chenlin Meng · Stefano Ermon
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Mixability made efficient: Fast online multiclass logistic regression
Rémi Jézéquel · Pierre Gaillard · Alessandro Rudi
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Contrastive Reinforcement Learning of Symbolic Reasoning Domains
Gabriel Poesia · WenXin Dong · Noah Goodman
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Deep Learning on a Data Diet: Finding Important Examples Early in Training
Mansheej Paul · Surya Ganguli · Gintare Karolina Dziugaite
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Optimality and Stability in Federated Learning: A Game-theoretic Approach
Kate Donahue · Jon Kleinberg
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Overcoming the curse of dimensionality with Laplacian regularization in semi-supervised learning
Vivien Cabannes · Loucas Pillaud-Vivien · Francis Bach · Alessandro Rudi
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST) @ Virtual
Distributed Saddle-Point Problems Under Data Similarity
Aleksandr Beznosikov · Gesualdo Scutari · Alexander Rogozin · Alexander Gasnikov
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Grammar-Based Grounded Lexicon Learning
Jiayuan Mao · Freda Shi · Jiajun Wu · Roger Levy · Josh Tenenbaum
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST) @ Virtual
Learning Gaussian Mixtures with Generalized Linear Models: Precise Asymptotics in High-dimensions
Bruno Loureiro · Gabriele Sicuro · Cedric Gerbelot · Alessandro Pacco · Florent Krzakala · Lenka Zdeborová
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Compositional Transformers for Scene Generation
Dor Arad Hudson · Larry Zitnick
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Learning in Non-Cooperative Configurable Markov Decision Processes
Giorgia Ramponi · Alberto Maria Metelli · Alessandro Concetti · Marcello Restelli
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Support vector machines and linear regression coincide with very high-dimensional features
Navid Ardeshir · Clayton Sanford · Daniel Hsu
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST) @ Virtual
Scalable Inference of Sparsely-changing Gaussian Markov Random Fields
Salar Fattahi · Andres Gomez
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Deep Explicit Duration Switching Models for Time Series
Abdul Fatir Ansari · Konstantinos Benidis · Richard Kurle · Ali Caner Turkmen · Harold Soh · Alexander Smola · Bernie Wang · Tim Januschowski
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST) @ Virtual
Faster Neural Network Training with Approximate Tensor Operations
Menachem Adelman · Kfir Levy · Ido Hakimi · Mark Silberstein
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Never Go Full Batch (in Stochastic Convex Optimization)
Idan Amir · Yair Carmon · Tomer Koren · Roi Livni
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Can multi-label classification networks know what they don’t know?
Haoran Wang · Weitang Liu · Alex Bocchieri · Yixuan Li
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Multiclass versus Binary Differentially Private PAC Learning
Satchit Sivakumar · Mark Bun · Marco Gaboardi
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Optimal Uniform OPE and Model-based Offline Reinforcement Learning in Time-Homogeneous, Reward-Free and Task-Agnostic Settings
Ming Yin · Yu-Xiang Wang
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Adversarial Regression with Doubly Non-negative Weighting Matrices
Tam Le · Truyen Nguyen · Makoto Yamada · Jose Blanchet · Viet Anh Nguyen
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST) @ Virtual
A Central Limit Theorem for Differentially Private Query Answering
Jinshuo Dong · Weijie Su · Linjun Zhang
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
On the Out-of-distribution Generalization of Probabilistic Image Modelling
Mingtian Zhang · Andi Zhang · Steven McDonagh
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Local Hyper-Flow Diffusion
Kimon Fountoulakis · Pan Li · Shenghao Yang
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
On the interplay between data structure and loss function in classification problems
Stéphane d'Ascoli · Marylou Gabrié · Levent Sagun · Giulio Biroli
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Are Transformers more robust than CNNs?
Yutong Bai · Jieru Mei · Alan Yuille · Cihang Xie
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Heavy Ball Momentum for Conditional Gradient
Bingcong Li · Alireza Sadeghi · Georgios Giannakis
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Learning to See by Looking at Noise
Manel Baradad Jurjo · Jonas Wulff · Tongzhou Wang · Phillip Isola · Antonio Torralba
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST) @ Virtual
XCiT: Cross-Covariance Image Transformers
Alaaeldin Ali · Hugo Touvron · Mathilde Caron · Piotr Bojanowski · Matthijs Douze · Armand Joulin · Ivan Laptev · Natalia Neverova · Gabriel Synnaeve · Jakob Verbeek · Herve Jegou
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Stochastic $L^\natural$-convex Function Minimization
Haixiang Zhang · Zeyu Zheng · Javad Lavaei
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Non-asymptotic Error Bounds for Bidirectional GANs
Shiao Liu · Yunfei Yang · Jian Huang · Yuling Jiao · Yang Wang
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Federated-EM with heterogeneity mitigation and variance reduction
Aymeric Dieuleveut · Gersende Fort · Eric Moulines · Geneviève Robin
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Terra: Imperative-Symbolic Co-Execution of Imperative Deep Learning Programs
Taebum Kim · Eunji Jeong · Geon-Woo Kim · Yunmo Koo · Sehoon Kim · Gyeongin Yu · Byung-Gon Chun
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Exploiting Opponents Under Utility Constraints in Sequential Games
Martino Bernasconi · Federico Cacciamani · Simone Fioravanti · Nicola Gatti · Alberto Marchesi · Francesco Trovò
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Mixture weights optimisation for Alpha-Divergence Variational Inference
Kamélia Daudel · randal douc
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Minimax Optimal Quantile and Semi-Adversarial Regret via Root-Logarithmic Regularizers
Jeffrey Negrea · Blair Bilodeau · Nicolò Campolongo · Francesco Orabona · Dan Roy
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Nonuniform Negative Sampling and Log Odds Correction with Rare Events Data
HaiYing Wang · Aonan Zhang · Chong Wang
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Estimating the Long-Term Effects of Novel Treatments
Keith Battocchi · Eleanor Dillon · Maggie Hei · Greg Lewis · Miruna Oprescu · Vasilis Syrgkanis
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST) @ Virtual
Joint Inference for Neural Network Depth and Dropout Regularization
Kishan K C · Rui Li · MohammadMahdi Gilany
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Causal Influence Detection for Improving Efficiency in Reinforcement Learning
Maximilian Seitzer · Bernhard Schölkopf · Georg Martius
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Label Noise SGD Provably Prefers Flat Global Minimizers
Alex Damian · Tengyu Ma · Jason Lee
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Surrogate Regret Bounds for Polyhedral Losses
Rafael Frongillo · Bo Waggoner
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Object-Centric Representation Learning with Generative Spatial-Temporal Factorization
Nanbo Li · Muhammad Ahmed Raza · Wenbin Hu · Zhaole Sun · Robert Fisher
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Learning Semantic Representations to Verify Hardware Designs
Shobha Vasudevan · Wenjie (Joe) Jiang · David Bieber · Rishabh Singh · hamid shojaei · C. Richard Ho · Charles Sutton
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Fair Scheduling for Time-dependent Resources
Bo Li · Minming Li · Ruilong Zhang
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
General Nonlinearities in SO(2)-Equivariant CNNs
Daniel Franzen · Michael Wand
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST) @ Virtual
Local policy search with Bayesian optimization
Sarah Müller · Alexander von Rohr · Sebastian Trimpe
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST) @ Virtual
TAAC: Temporally Abstract Actor-Critic for Continuous Control
Haonan Yu · Wei Xu · Haichao Zhang
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Twice regularized MDPs and the equivalence between robustness and regularization
Esther Derman · Matthieu Geist · Shie Mannor
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Contextual Recommendations and Low-Regret Cutting-Plane Algorithms
Sreenivas Gollapudi · Guru Guruganesh · Kostas Kollias · Pasin Manurangsi · Renato Leme · Jon Schneider
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Learning-Augmented Dynamic Power Management with Multiple States via New Ski Rental Bounds
Antonios Antoniadis · Christian Coester · Marek Elias · Adam Polak · Bertrand Simon
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST) @ Virtual
Neural-PIL: Neural Pre-Integrated Lighting for Reflectance Decomposition
Mark Boss · Varun Jampani · Raphael Braun · Ce Liu · Jonathan Barron · Hendrik PA Lensch
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Deep Learning with Label Differential Privacy
Badih Ghazi · Noah Golowich · Ravi Kumar · Pasin Manurangsi · Chiyuan Zhang
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
An Online Riemannian PCA for Stochastic Canonical Correlation Analysis
Zihang Meng · Rudrasis Chakraborty · Vikas Singh
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
CAM-GAN: Continual Adaptation Modules for Generative Adversarial Networks
Sakshi Varshney · Vinay Kumar Verma · P. K. Srijith · Lawrence Carin · Piyush Rai
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST) @ Virtual
Exact Privacy Guarantees for Markov Chain Implementations of the Exponential Mechanism with Artificial Atoms
Jeremy Seeman · Matthew Reimherr · Aleksandra Slavković
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Data driven semi-supervised learning
Maria-Florina Balcan · Dravyansh Sharma
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
PreferenceNet: Encoding Human Preferences in Auction Design with Deep Learning
Neehar Peri · Michael Curry · Samuel Dooley · John Dickerson
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Single Layer Predictive Normalized Maximum Likelihood for Out-of-Distribution Detection
Koby Bibas · Meir Feder · Tal Hassner
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST) @ Virtual
Analyzing the Confidentiality of Undistillable Teachers in Knowledge Distillation
Souvik Kundu · Qirui Sun · Yao Fu · Massoud Pedram · Peter Beerel
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST) @ Virtual
Understanding Negative Samples in Instance Discriminative Self-supervised Representation Learning
Kento Nozawa · Issei Sato
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Evaluating Gradient Inversion Attacks and Defenses in Federated Learning
Yangsibo Huang · Samyak Gupta · Zhao Song · Kai Li · Sanjeev Arora
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Risk Bounds for Over-parameterized Maximum Margin Classification on Sub-Gaussian Mixtures
Yuan Cao · Quanquan Gu · Mikhail Belkin
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
G-PATE: Scalable Differentially Private Data Generator via Private Aggregation of Teacher Discriminators
Yunhui Long · Boxin Wang · Zhuolin Yang · Bhavya Kailkhura · Aston Zhang · Carl Gunter · Bo Li
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Hierarchical Reinforcement Learning with Timed Subgoals
Nico Gürtler · Dieter Büchler · Georg Martius
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Interesting Object, Curious Agent: Learning Task-Agnostic Exploration
Simone Parisi · Victoria Dean · Deepak Pathak · Abhinav Gupta
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Reverse engineering recurrent neural networks with Jacobian switching linear dynamical systems
Jimmy Smith · Scott Linderman · David Sussillo
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST) @ Virtual
Retiring Adult: New Datasets for Fair Machine Learning
Frances Ding · Moritz Hardt · John Miller · Ludwig Schmidt
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
MERLOT: Multimodal Neural Script Knowledge Models
Rowan Zellers · Ximing Lu · Jack Hessel · Youngjae Yu · Jae Sung Park · Jize Cao · Ali Farhadi · Yejin Choi
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Reinforcement Learning Enhanced Explainer for Graph Neural Networks
Caihua Shan · Yifei Shen · Yao Zhang · Xiang Li · Dongsheng Li
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Privately Learning Subspaces
Vikrant Singhal · Thomas Steinke
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Training Over-parameterized Models with Non-decomposable Objectives
Harikrishna Narasimhan · Aditya Menon
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Aligned Structured Sparsity Learning for Efficient Image Super-Resolution
Yulun Zhang · Huan Wang · Can Qin · Yun Fu
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Learning to Schedule Heuristics in Branch and Bound
Antonia Chmiela · Elias Khalil · Ambros Gleixner · Andrea Lodi · Sebastian Pokutta
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Framing RNN as a kernel method: A neural ODE approach
Adeline Fermanian · Pierre Marion · Jean-Philippe Vert · Gérard Biau
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Container: Context Aggregation Networks
peng gao · Jiasen Lu · Hongsheng Li · Roozbeh Mottaghi · Aniruddha Kembhavi
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Optimal Rates for Random Order Online Optimization
Uri Sherman · Tomer Koren · Yishay Mansour
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Speech-T: Transducer for Text to Speech and Beyond
Jiawei Chen · Xu Tan · Yichong Leng · Jin Xu · Guihua Wen · Tao Qin · Tie-Yan Liu
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
$(\textrm{Implicit})^2$: Implicit Layers for Implicit Representations
Zhichun Huang · Shaojie Bai · J. Zico Kolter
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Beyond Pinball Loss: Quantile Methods for Calibrated Uncertainty Quantification
Youngseog Chung · Willie Neiswanger · Ian Char · Jeff Schneider
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Adversarial Neuron Pruning Purifies Backdoored Deep Models
Dongxian Wu · Yisen Wang
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Adaptive Conformal Inference Under Distribution Shift
Isaac Gibbs · Emmanuel Candes
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Safe Reinforcement Learning with Natural Language Constraints
Tsung-Yen Yang · Michael Y Hu · Yinlam Chow · Peter J Ramadge · Karthik Narasimhan
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Asymptotics of representation learning in finite Bayesian neural networks
Jacob Zavatone-Veth · Abdulkadir Canatar · Ben Ruben · Cengiz Pehlevan
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Robust Allocations with Diversity Constraints
Zeyu Shen · Lodewijk Gelauff · Ashish Goel · Aleksandra Korolova · Kamesh Munagala
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Hyperbolic Busemann Learning with Ideal Prototypes
Mina Ghadimi Atigh · Martin Keller-Ressel · Pascal Mettes
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Differentially Private Stochastic Optimization: New Results in Convex and Non-Convex Settings
Raef Bassily · Cristóbal Guzmán · Michael Menart
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Characterizing the risk of fairwashing
Ulrich Aïvodji · Hiromi Arai · Sébastien Gambs · Satoshi Hara
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST) @ Virtual
Directed Probabilistic Watershed
Enrique Fita Sanmartin · Sebastian Damrich · Fred Hamprecht
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Stabilizing Deep Q-Learning with ConvNets and Vision Transformers under Data Augmentation
Nicklas Hansen · Hao Su · Xiaolong Wang
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
RL for Latent MDPs: Regret Guarantees and a Lower Bound
Jeongyeol Kwon · Yonathan Efroni · Constantine Caramanis · Shie Mannor
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST) @ Virtual
Shape As Points: A Differentiable Poisson Solver
Songyou Peng · Chiyu Jiang · Yiyi Liao · Michael Niemeyer · Marc Pollefeys · Andreas Geiger
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST) @ Virtual
Lattice partition recovery with dyadic CART
OSCAR HERNAN MADRID PADILLA · Yi Yu · Alessandro Rinaldo
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Make Sure You're Unsure: A Framework for Verifying Probabilistic Specifications
Leonard Berrada · Sumanth Dathathri · Krishnamurthy Dvijotham · Robert Stanforth · Rudy Bunel · Jonathan Uesato · Sven Gowal · M. Pawan Kumar
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Beyond Bandit Feedback in Online Multiclass Classification
Dirk van der Hoeven · Federico Fusco · Nicolò Cesa-Bianchi
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Mitigating Covariate Shift in Imitation Learning via Offline Data With Partial Coverage
Jonathan Chang · Masatoshi Uehara · Dhruv Sreenivas · Rahul Kidambi · Wen Sun
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Covariance-Aware Private Mean Estimation Without Private Covariance Estimation
Gavin Brown · Marco Gaboardi · Adam Smith · Jonathan Ullman · Lydia Zakynthinou
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Fast Approximate Dynamic Programming for Infinite-Horizon Markov Decision Processes
Mohamad Amin Sharifi Kolarijani · Gyula Max · Peyman Mohajerin Esfahani
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Learning to Generate Visual Questions with Noisy Supervision
Shen Kai · Lingfei Wu · Siliang Tang · Yueting Zhuang · zhen he · Zhuoye Ding · Yun Xiao · Bo Long
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Differentially Private Empirical Risk Minimization under the Fairness Lens
Cuong Tran · My Dinh · Ferdinando Fioretto
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Fair Sparse Regression with Clustering: An Invex Relaxation for a Combinatorial Problem
Adarsh Barik · Jean Honorio
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
User-Level Differentially Private Learning via Correlated Sampling
Badih Ghazi · Ravi Kumar · Pasin Manurangsi
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
A Unified Approach to Fair Online Learning via Blackwell Approachability
Evgenii Chzhen · Christophe Giraud · Gilles Stoltz
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Improved Guarantees for Offline Stochastic Matching via new Ordered Contention Resolution Schemes
Brian Brubach · Nathaniel Grammel · Will Ma · Aravind Srinivasan
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Gradient Starvation: A Learning Proclivity in Neural Networks
Mohammad Pezeshki · Oumar Kaba · Yoshua Bengio · Aaron Courville · Doina Precup · Guillaume Lajoie
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Distributed Principal Component Analysis with Limited Communication
Foivos Alimisis · Peter Davies · Bart Vandereycken · Dan Alistarh
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Decrypting Cryptic Crosswords: Semantically Complex Wordplay Puzzles as a Target for NLP
Josh Rozner · Christopher Potts · Kyle Mahowald
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Risk Minimization from Adaptively Collected Data: Guarantees for Supervised and Policy Learning
Aurelien Bibaut · Nathan Kallus · Maria Dimakopoulou · Antoine Chambaz · Mark van der Laan
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Collaborating with Humans without Human Data
DJ Strouse · Kevin McKee · Matt Botvinick · Edward Hughes · Richard Everett
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Towards optimally abstaining from prediction with OOD test examples
Adam Kalai · Varun Kanade
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Closing the loop in medical decision support by understanding clinical decision-making: A case study on organ transplantation
Yuchao Qin · Fergus Imrie · Alihan Hüyük · Daniel Jarrett · alexander gimson · Mihaela van der Schaar
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Canonical Capsules: Self-Supervised Capsules in Canonical Pose
Weiwei Sun · Andrea Tagliasacchi · Boyang Deng · Sara Sabour · Soroosh Yazdani · Geoffrey Hinton · Kwang Moo Yi
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
On the Theory of Reinforcement Learning with Once-per-Episode Feedback
Niladri Chatterji · Aldo Pacchiano · Peter Bartlett · Michael Jordan
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Bayesian Bellman Operators
Mattie Fellows · Kristian Hartikainen · Shimon Whiteson
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Iterative Methods for Private Synthetic Data: Unifying Framework and New Methods
Terrance Liu · Giuseppe Vietri · Steven Wu
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Exploring Social Posterior Collapse in Variational Autoencoder for Interaction Modeling
Chen Tang · Wei Zhan · Masayoshi Tomizuka
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST) @ Virtual
Robust and Decomposable Average Precision for Image Retrieval
Elias Ramzi · Nicolas THOME · Clément Rambour · Nicolas Audebert · Xavier Bitot
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Fair Sortition Made Transparent
Bailey Flanigan · Gregory Kehne · Ariel Procaccia
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Improving Anytime Prediction with Parallel Cascaded Networks and a Temporal-Difference Loss
Michael Iuzzolino · Michael Mozer · Samy Bengio
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Label Disentanglement in Partition-based Extreme Multilabel Classification
Xuanqing Liu · Wei-Cheng Chang · Hsiang-Fu Yu · Cho-Jui Hsieh · Inderjit Dhillon
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST) @ Virtual
Learning to Synthesize Programs as Interpretable and Generalizable Policies
Dweep Trivedi · Jesse Zhang · Shao-Hua Sun · Joseph Lim
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST) @ Virtual
On the Periodic Behavior of Neural Network Training with Batch Normalization and Weight Decay
Ekaterina Lobacheva · Maxim Kodryan · Nadezhda Chirkova · Andrey Malinin · Dmitry Vetrov
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Sampling with Trusthworthy Constraints: A Variational Gradient Framework
Xingchao Liu · Xin Tong · Qiang Liu
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
SLOE: A Faster Method for Statistical Inference in High-Dimensional Logistic Regression
Steve Yadlowsky · Taedong Yun · Cory Y McLean · Alexander D'Amour
Competition
Thu Dec 09 10:00 AM -- 03:04 PM (PST)
Competition Track Day 3: Overviews + Breakout Sessions
Douwe Kiela · Marco Ciccone · Barbara Caputo
Roundtable
Thu Dec 09 10:00 AM -- 11:00 AM (PST)
How Copyright Shapes Your Datasets and What To Do About It
Amanda Levendowski
Datasets and Benchmarks
Thu Dec 09 11:00 AM -- 02:00 PM (PST)
Dataset and Benchmark Symposium
Joaquin Vanschoren · Serena Yeung
Invited Talk
Thu Dec 09 03:00 PM -- 04:30 PM (PST)
Gender, Allyship & Public Interest Technology
Meredith Broussard
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Geometry Processing with Neural Fields
Guandao Yang · Serge Belongie · Bharath Hariharan · Vladlen Koltun
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
What training reveals about neural network complexity
Andreas Loukas · Marinos Poiitis · Stefanie Jegelka
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
A Shading-Guided Generative Implicit Model for Shape-Accurate 3D-Aware Image Synthesis
Xingang Pan · Xudong XU · Chen Change Loy · Christian Theobalt · Bo Dai
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Uncertainty-Based Offline Reinforcement Learning with Diversified Q-Ensemble
Gaon An · Seungyong Moon · Jang-Hyun Kim · Hyun Oh Song
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Contrastively Disentangled Sequential Variational Autoencoder
Junwen Bai · Weiran Wang · Carla Gomes
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST) @ Virtual
Learnable Fourier Features for Multi-dimensional Spatial Positional Encoding
Yang Li · Si Si · Gang Li · Cho-Jui Hsieh · Samy Bengio
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Risk Bounds and Calibration for a Smart Predict-then-Optimize Method
Heyuan Liu · Paul Grigas
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Sample Selection for Fair and Robust Training
Yuji Roh · Kangwook Lee · Steven Whang · Changho Suh
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Perturbation Theory for the Information Bottleneck
Vudtiwat Ngampruetikorn · David Schwab
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
AutoBalance: Optimized Loss Functions for Imbalanced Data
Mingchen Li · Xuechen Zhang · Christos Thrampoulidis · Jiasi Chen · Samet Oymak
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Momentum Centering and Asynchronous Update for Adaptive Gradient Methods
Juntang Zhuang · Yifan Ding · Tommy Tang · Nicha Dvornek · Sekhar C Tatikonda · James Duncan
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST) @ Virtual
Auditing Black-Box Prediction Models for Data Minimization Compliance
Bashir Rastegarpanah · Krishna Gummadi · Mark Crovella
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
TöRF: Time-of-Flight Radiance Fields for Dynamic Scene View Synthesis
Benjamin Attal · Eliot Laidlaw · Aaron Gokaslan · Changil Kim · Christian Richardt · James Tompkin · Matthew O'Toole
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Evolution Gym: A Large-Scale Benchmark for Evolving Soft Robots
Jagdeep Bhatia · Holly Jackson · Yunsheng Tian · Jie Xu · Wojciech Matusik
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
CoAtNet: Marrying Convolution and Attention for All Data Sizes
Zihang Dai · Hanxiao Liu · Quoc V Le · Mingxing Tan
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Combining Recurrent, Convolutional, and Continuous-time Models with Linear State Space Layers
Albert Gu · Isys Johnson · Karan Goel · Khaled Saab · Tri Dao · Atri Rudra · Christopher Ré
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Differential Privacy Over Riemannian Manifolds
Matthew Reimherr · Karthik Bharath · Carlos Soto
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST) @ Virtual
On the Generative Utility of Cyclic Conditionals
Chang Liu · Haoyue Tang · Tao Qin · Jintao Wang · Tie-Yan Liu
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Global Convergence to Local Minmax Equilibrium in Classes of Nonconvex Zero-Sum Games
Tanner Fiez · Lillian Ratliff · Eric Mazumdar · Evan Faulkner · Adhyyan Narang
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Automated Dynamic Mechanism Design
Hanrui Zhang · Vincent Conitzer
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST) @ Virtual
Decoupling the Depth and Scope of Graph Neural Networks
Hanqing Zeng · Muhan Zhang · Yinglong Xia · Ajitesh Srivastava · Andrey Malevich · Rajgopal Kannan · Viktor Prasanna · Long Jin · Ren Chen
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Dimension-free empirical entropy estimation
Doron Cohen · Aryeh Kontorovich · Aaron Koolyk · Geoffrey Wolfer
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Observation-Free Attacks on Stochastic Bandits
Yinglun Xu · Bhuvesh Kumar · Jacob Abernethy
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Embedding Principle of Loss Landscape of Deep Neural Networks
Yaoyu Zhang · Zhongwang Zhang · Tao Luo · Zhiqin J Xu
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST) @ Virtual
Stochastic optimization under time drift: iterate averaging, step-decay schedules, and high probability guarantees
Joshua Cutler · Dmitriy Drusvyatskiy · Zaid Harchaoui
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST) @ Virtual
Dynamic Trace Estimation
Prathamesh Dharangutte · Christopher Musco
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST) @ Virtual
Stronger NAS with Weaker Predictors
Junru Wu · Xiyang Dai · Dongdong Chen · Yinpeng Chen · Mengchen Liu · Ye Yu · Zhangyang Wang · Zicheng Liu · Mei Chen · Lu Yuan
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Learning in Multi-Stage Decentralized Matching Markets
Xiaowu Dai · Michael Jordan
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Efficient Algorithms for Learning Depth-2 Neural Networks with General ReLU Activations
Pranjal Awasthi · Alex Tang · Aravindan Vijayaraghavan
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Uniform Sampling over Episode Difficulty
Sébastien Arnold · Guneet Dhillon · Avinash Ravichandran · Stefano Soatto
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Structured in Space, Randomized in Time: Leveraging Dropout in RNNs for Efficient Training
Anup Sarma · Sonali Singh · Huaipan Jiang · Rui Zhang · Mahmut Kandemir · Chita Das
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Time-series Generation by Contrastive Imitation
Daniel Jarrett · Ioana Bica · Mihaela van der Schaar
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Divergence Frontiers for Generative Models: Sample Complexity, Quantization Effects, and Frontier Integrals
Lang Liu · Krishna Pillutla · Sean Welleck · Sewoong Oh · Yejin Choi · Zaid Harchaoui
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Learning Optimal Predictive Checklists
Haoran Zhang · Quaid Morris · Berk Ustun · Marzyeh Ghassemi
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Believe What You See: Implicit Constraint Approach for Offline Multi-Agent Reinforcement Learning
Yiqin Yang · Xiaoteng Ma · Chenghao Li · Zewu Zheng · Qiyuan Zhang · Gao Huang · Jun Yang · Qianchuan Zhao
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Robust Learning of Optimal Auctions
Wenshuo Guo · Michael Jordan · Emmanouil Zampetakis
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Meta-Adaptive Nonlinear Control: Theory and Algorithms
Guanya Shi · Kamyar Azizzadenesheli · Michael O'Connell · Soon-Jo Chung · Yisong Yue
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Property-Aware Relation Networks for Few-Shot Molecular Property Prediction
Yaqing Wang · Abulikemu Abuduweili · Quanming Yao · Dejing Dou
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Learning Domain Invariant Representations in Goal-conditioned Block MDPs
Beining Han · Chongyi Zheng · Harris Chan · Keiran Paster · Michael Zhang · Jimmy Ba
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Metadata-based Multi-Task Bandits with Bayesian Hierarchical Models
Runzhe Wan · Lin Ge · Rui Song
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
A Contrastive Learning Approach for Training Variational Autoencoder Priors
Jyoti Aneja · Alex Schwing · Jan Kautz · Arash Vahdat
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
TriBERT: Human-centric Audio-visual Representation Learning
Tanzila Rahman · Mengyu Yang · Leonid Sigal
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Understanding and Improving Early Stopping for Learning with Noisy Labels
Yingbin Bai · Erkun Yang · Bo Han · Yanhua Yang · Jiatong Li · Yinian Mao · Gang Niu · Tongliang Liu
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Differentially Private Model Personalization
Prateek Jain · John Rush · Adam Smith · Shuang Song · Abhradeep Guha Thakurta
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Online Selective Classification with Limited Feedback
Aditya Gangrade · Anil Kag · Ashok Cutkosky · Venkatesh Saligrama
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Robust Predictable Control
Ben Eysenbach · Russ Salakhutdinov · Sergey Levine
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Fast Extra Gradient Methods for Smooth Structured Nonconvex-Nonconcave Minimax Problems
Sucheol Lee · Donghwan Kim
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Online Robust Reinforcement Learning with Model Uncertainty
Yue Wang · Shaofeng Zou
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
SimiGrad: Fine-Grained Adaptive Batching for Large Scale Training using Gradient Similarity Measurement
Heyang Qin · Samyam Rajbhandari · Olatunji Ruwase · Feng Yan · Lei Yang · Yuxiong He
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Approximate optimization of convex functions with outlier noise
Anindya De · Sanjeev Khanna · Huan Li · MohammadHesam NikpeySalekde
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Matrix encoding networks for neural combinatorial optimization
Yeong-Dae Kwon · Jinho Choo · Iljoo Yoon · Minah Park · Duwon Park · Youngjune Gwon
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Unifying Width-Reduced Methods for Quasi-Self-Concordant Optimization
Deeksha Adil · Brian Bullins · Sushant Sachdeva
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Which Mutual-Information Representation Learning Objectives are Sufficient for Control?
Kate Rakelly · Abhishek Gupta · Carlos Florensa · Sergey Levine
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Deconvolutional Networks on Graph Data
Jia Li · Jiajin Li · Yang Liu · Jianwei Yu · Yueting Li · Hong Cheng
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
A Regression Approach to Learning-Augmented Online Algorithms
Keerti Anand · Rong Ge · Amit Kumar · Debmalya Panigrahi
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Bounds all around: training energy-based models with bidirectional bounds
Cong Geng · Jia Wang · Zhiyong Gao · Jes Frellsen · Søren Hauberg
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Subgame solving without common knowledge
Brian Zhang · Tuomas Sandholm
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Meta-learning to Improve Pre-training
Aniruddh Raghu · Jonathan Lorraine · Simon Kornblith · Matthew McDermott · David Duvenaud
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Identity testing for Mallows model
Róbert Busa-Fekete · Dimitris Fotakis · Balazs Szorenyi · Emmanouil Zampetakis
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST) @ Virtual
Newton-LESS: Sparsification without Trade-offs for the Sketched Newton Update
Michal Derezinski · Jonathan Lacotte · Mert Pilanci · Michael Mahoney
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Noether’s Learning Dynamics: Role of Symmetry Breaking in Neural Networks
Hidenori Tanaka · Daniel Kunin
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST) @ Virtual
Episodic Multi-agent Reinforcement Learning with Curiosity-driven Exploration
Lulu Zheng · Jiarui Chen · Jianhao Wang · Jiamin He · Yujing Hu · Yingfeng Chen · Changjie Fan · Yang Gao · Chongjie Zhang
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Speech Separation Using an Asynchronous Fully Recurrent Convolutional Neural Network
Xiaolin Hu · Kai Li · Weiyi Zhang · Yi Luo · Jean-Marie Lemercier · Timo Gerkmann
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
A Biased Graph Neural Network Sampler with Near-Optimal Regret
Qingru Zhang · David Wipf · Quan Gan · Le Song
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
True Few-Shot Learning with Language Models
Ethan Perez · Douwe Kiela · Kyunghyun Cho
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
A Unified View of cGANs with and without Classifiers
Si-An Chen · Chun-Liang Li · Hsuan-Tien Lin
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Representing Hyperbolic Space Accurately using Multi-Component Floats
Tao Yu · Christopher De Sa
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Locality Sensitive Teaching
Zhaozhuo Xu · Beidi Chen · Chaojian Li · Weiyang Liu · Le Song · Yingyan Lin · Anshumali Shrivastava
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Asymptotically Exact Error Characterization of Offline Policy Evaluation with Misspecified Linear Models
Kohei Miyaguchi
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Fast Policy Extragradient Methods for Competitive Games with Entropy Regularization
Shicong Cen · Yuting Wei · Yuejie Chi
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Few-Shot Segmentation via Cycle-Consistent Transformer
Gengwei Zhang · Guoliang Kang · Yi Yang · Yunchao Wei
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Convergence and Alignment of Gradient Descent with Random Backpropagation Weights
Ganlin Song · Ruitu Xu · John Lafferty
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Constrained Robust Submodular Partitioning
Shengjie Wang · Tianyi Zhou · Chandrashekhar Lavania · Jeff A Bilmes
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Stability and Generalization of Bilevel Programming in Hyperparameter Optimization
Fan Bao · Guoqiang Wu · Chongxuan LI · Jun Zhu · Bo Zhang
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Efficient Neural Network Training via Forward and Backward Propagation Sparsification
Xiao Zhou · Weizhong Zhang · Zonghao Chen · SHIZHE DIAO · Tong Zhang
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Fair Sequential Selection Using Supervised Learning Models
Mahdi Khalili · Xueru Zhang · Mahed Abroshan
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Dissecting the Diffusion Process in Linear Graph Convolutional Networks
Yifei Wang · Yisen Wang · Jiansheng Yang · Zhouchen Lin
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Causal Abstractions of Neural Networks
Atticus Geiger · Hanson Lu · Thomas Icard · Christopher Potts
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Proxy Convexity: A Unified Framework for the Analysis of Neural Networks Trained by Gradient Descent
Spencer Frei · Quanquan Gu
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Revisiting Smoothed Online Learning
Lijun Zhang · Wei Jiang · Shiyin Lu · Tianbao Yang
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Dynamic COVID risk assessment accounting for community virus exposure from a spatial-temporal transmission model
Yuan Chen · Wenbo Fei · Qinxia Wang · Donglin Zeng · Yuanjia Wang
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Symplectic Adjoint Method for Exact Gradient of Neural ODE with Minimal Memory
Takashi Matsubara · Yuto Miyatake · Takaharu Yaguchi
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
RED : Looking for Redundancies for Data-FreeStructured Compression of Deep Neural Networks
Edouard YVINEC · Arnaud Dapogny · Matthieu Cord · Kevin Bailly
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Self-Adaptable Point Processes with Nonparametric Time Decays
Zhimeng Pan · Zheng Wang · Jeff M Phillips · Shandian Zhe
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Probabilistic Transformer For Time Series Analysis
Binh Tang · David S Matteson
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Understanding Instance-based Interpretability of Variational Auto-Encoders
Zhifeng Kong · Kamalika Chaudhuri
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Dynamic Distillation Network for Cross-Domain Few-Shot Recognition with Unlabeled Data
Ashraful Islam · Chun-Fu (Richard) Chen · Rameswar Panda · Leonid Karlinsky · Rogerio Feris · Richard J. Radke
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Fairness via Representation Neutralization
Mengnan Du · Subhabrata Mukherjee · Guanchu Wang · Ruixiang Tang · Ahmed Awadallah · Xia Hu
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Unintended Selection: Persistent Qualification Rate Disparities and Interventions
Reilly Raab · Yang Liu
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
COMBO: Conservative Offline Model-Based Policy Optimization
Tianhe Yu · Aviral Kumar · Rafael Rafailov · Aravind Rajeswaran · Sergey Levine · Chelsea Finn
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Topographic VAEs learn Equivariant Capsules
T. Anderson Keller · Max Welling
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST) @ Virtual
On the Equivalence between Neural Network and Support Vector Machine
Yilan Chen · Wei Huang · Lam Nguyen · Tsui-Wei Weng
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Universal Graph Convolutional Networks
Di Jin · Zhizhi Yu · Cuiying Huo · Rui Wang · Xiao Wang · Dongxiao He · Jiawei Han
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Learning Signal-Agnostic Manifolds of Neural Fields
Yilun Du · Katie Collins · Josh Tenenbaum · Vincent Sitzmann
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Generalized Shape Metrics on Neural Representations
Alex H Williams · Erin Kunz · Simon Kornblith · Scott Linderman
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Improving Self-supervised Learning with Automated Unsupervised Outlier Arbitration
Yu Wang · Jingyang Lin · Jingjing Zou · Yingwei Pan · Ting Yao · Tao Mei
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST) @ Virtual
Optimal Underdamped Langevin MCMC Method
Zhengmian Hu · Feihu Huang · Heng Huang
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Dataset Distillation with Infinitely Wide Convolutional Networks
Timothy Nguyen · Roman Novak · Lechao Xiao · Jaehoon Lee
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Improving Coherence and Consistency in Neural Sequence Models with Dual-System, Neuro-Symbolic Reasoning
Maxwell Nye · Michael Tessler · Josh Tenenbaum · Brenden Lake
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST) @ Virtual
Conflict-Averse Gradient Descent for Multi-task learning
Bo Liu · Xingchao Liu · Xiaojie Jin · Peter Stone · Qiang Liu
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
ReLU Regression with Massart Noise
Ilias Diakonikolas · Jong Ho Park · Christos Tzamos
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Learning 3D Dense Correspondence via Canonical Point Autoencoder
An-Chieh Cheng · Xueting Li · Min Sun · Ming-Hsuan Yang · Sifei Liu
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Towards understanding retrosynthesis by energy-based models
Ruoxi Sun · Hanjun Dai · Li Li · Steven Kearnes · Bo Dai
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Revealing and Protecting Labels in Distributed Training
Trung Dang · Om Thakkar · Swaroop Ramaswamy · Rajiv Mathews · Peter Chin · Françoise Beaufays
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Fast Training Method for Stochastic Compositional Optimization Problems
Hongchang Gao · Heng Huang
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Model-Based Episodic Memory Induces Dynamic Hybrid Controls
Hung Le · Thommen Karimpanal George · Majid Abdolshah · Truyen Tran · Svetha Venkatesh
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
VigDet: Knowledge Informed Neural Temporal Point Process for Coordination Detection on Social Media
Yizhou Zhang · Karishma Sharma · Yan Liu
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Exponential Bellman Equation and Improved Regret Bounds for Risk-Sensitive Reinforcement Learning
Yingjie Fei · Zhuoran Yang · Yudong Chen · Zhaoran Wang
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST) @ Virtual
Differentially Private Federated Bayesian Optimization with Distributed Exploration
Zhongxiang Dai · Bryan Kian Hsiang Low · Patrick Jaillet
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
A Computationally Efficient Method for Learning Exponential Family Distributions
Abhin Shah · Devavrat Shah · Gregory Wornell
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
The best of both worlds: stochastic and adversarial episodic MDPs with unknown transition
Tiancheng Jin · Longbo Huang · Haipeng Luo
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Fast Doubly-Adaptive MCMC to Estimate the Gibbs Partition Function with Weak Mixing Time Bounds
Shahrzad Haddadan · Yue Zhuang · Cyrus Cousins · Eli Upfal
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Implicit Transformer Network for Screen Content Image Continuous Super-Resolution
Jingyu Yang · Sheng Shen · Huanjing Yue · Kun Li
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Distributed Estimation with Multiple Samples per User: Sharp Rates and Phase Transition
Jayadev Acharya · Clement Canonne · Yuhan Liu · Ziteng Sun · Himanshu Tyagi
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Rot-Pro: Modeling Transitivity by Projection in Knowledge Graph Embedding
Tengwei Song · Jie Luo · Lei Huang
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Looking Beyond Single Images for Contrastive Semantic Segmentation Learning
FEIHU ZHANG · Philip Torr · Rene Ranftl · Stephan Richter
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Learning to Learn Dense Gaussian Processes for Few-Shot Learning
Ze Wang · Zichen Miao · Xiantong Zhen · Qiang Qiu
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Robust Deep Reinforcement Learning through Adversarial Loss
Tuomas Oikarinen · Wang Zhang · Alexandre Megretski · Luca Daniel · Tsui-Wei Weng
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Joint inference and input optimization in equilibrium networks
Swaminathan Gurumurthy · Shaojie Bai · Zachary Manchester · J. Zico Kolter
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Reinforcement Learning based Disease Progression Model for Alzheimer’s Disease
Krishnakant Saboo · Anirudh Choudhary · Yurui Cao · Gregory Worrell · David Jones · Ravishankar Iyer
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
STEM: A Stochastic Two-Sided Momentum Algorithm Achieving Near-Optimal Sample and Communication Complexities for Federated Learning
Prashant Khanduri · PRANAY SHARMA · Haibo Yang · Mingyi Hong · Jia Liu · Ketan Rajawat · Pramod Varshney
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
UCB-based Algorithms for Multinomial Logistic Regression Bandits
Sanae Amani · Christos Thrampoulidis
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST) @ Virtual
CAPE: Encoding Relative Positions with Continuous Augmented Positional Embeddings
Tatiana Likhomanenko · Qiantong Xu · Gabriel Synnaeve · Ronan Collobert · Alex Rogozhnikov
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Fast Bayesian Inference for Gaussian Cox Processes via Path Integral Formulation
Hideaki Kim
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
The Benefits of Implicit Regularization from SGD in Least Squares Problems
Difan Zou · Jingfeng Wu · Vladimir Braverman · Quanquan Gu · Dean Foster · Sham Kakade
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Multiwavelet-based Operator Learning for Differential Equations
Gaurav Gupta · Xiongye Xiao · Paul Bogdan
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Grounding Representation Similarity Through Statistical Testing
Frances Ding · Jean-Stanislas Denain · Jacob Steinhardt
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Why Lottery Ticket Wins? A Theoretical Perspective of Sample Complexity on Sparse Neural Networks
Shuai Zhang · Meng Wang · Sijia Liu · Pin-Yu Chen · Jinjun Xiong
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Deeply Shared Filter Bases for Parameter-Efficient Convolutional Neural Networks
Woochul Kang · Daeyeon Kim
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Long Short-Term Transformer for Online Action Detection
Mingze Xu · Yuanjun Xiong · Hao Chen · Xinyu Li · Wei Xia · Zhuowen Tu · Stefano Soatto
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
An Exponential Lower Bound for Linearly Realizable MDP with Constant Suboptimality Gap
Yuanhao Wang · Ruosong Wang · Sham Kakade
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Deep Synoptic Monte-Carlo Planning in Reconnaissance Blind Chess
Gregory Clark
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Supercharging Imbalanced Data Learning With Energy-based Contrastive Representation Transfer
Junya Chen · Zidi Xiu · Benjamin Goldstein · Ricardo Henao · Lawrence Carin · Chenyang Tao
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Dynamic Visual Reasoning by Learning Differentiable Physics Models from Video and Language
Mingyu Ding · Zhenfang Chen · Tao Du · Ping Luo · Josh Tenenbaum · Chuang Gan
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Minibatch and Momentum Model-based Methods for Stochastic Weakly Convex Optimization
Qi Deng · Wenzhi Gao
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Data Sharing and Compression for Cooperative Networked Control
Jiangnan Cheng · Marco Pavone · Sachin Katti · Sandeep Chinchali · Ao Tang
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
PLUGIn: A simple algorithm for inverting generative models with recovery guarantees
Babhru Joshi · Xiaowei Li · Yaniv Plan · Ozgur Yilmaz
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Imitation with Neural Density Models
Kuno Kim · Akshat Jindal · Yang Song · Jiaming Song · Yanan Sui · Stefano Ermon
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Inverse Reinforcement Learning in a Continuous State Space with Formal Guarantees
Gregory Dexter · Kevin Bello · Jean Honorio
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Rates of Estimation of Optimal Transport Maps using Plug-in Estimators via Barycentric Projections
NABARUN DEB · Promit Ghosal · Bodhisattva Sen
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
On the Representation of Solutions to Elliptic PDEs in Barron Spaces
Ziang Chen · Jianfeng Lu · Yulong Lu
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Continuous Latent Process Flows
Ruizhi Deng · Marcus Brubaker · Greg Mori · Andreas Lehrmann
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Information-constrained optimization: can adaptive processing of gradients help?
Jayadev Acharya · Clement Canonne · Prathamesh Mayekar · Himanshu Tyagi
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
High-probability Bounds for Non-Convex Stochastic Optimization with Heavy Tails
Ashok Cutkosky · Harsh Mehta
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Combiner: Full Attention Transformer with Sparse Computation Cost
Hongyu Ren · Hanjun Dai · Zihang Dai · Mengjiao (Sherry) Yang · Jure Leskovec · Dale Schuurmans · Bo Dai
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
BatchQuant: Quantized-for-all Architecture Search with Robust Quantizer
Haoping Bai · Meng Cao · Ping Huang · Jiulong Shan
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Subgraph Federated Learning with Missing Neighbor Generation
Ke ZHANG · Carl Yang · Xiaoxiao Li · Lichao Sun · Siu Ming Yiu
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
On Path Integration of Grid Cells: Group Representation and Isotropic Scaling
Ruiqi Gao · Jianwen Xie · Xue-Xin Wei · Song-Chun Zhu · Ying Nian Wu
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Understanding Deflation Process in Over-parametrized Tensor Decomposition
Rong Ge · Yunwei Ren · Xiang Wang · Mo Zhou
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Diffusion Schrödinger Bridge with Applications to Score-Based Generative Modeling
Valentin De Bortoli · James Thornton · Jeremy Heng · Arnaud Doucet
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Generalized Linear Bandits with Local Differential Privacy
Yuxuan Han · Zhipeng Liang · Yang Wang · Jiheng Zhang
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Unbiased Classification through Bias-Contrastive and Bias-Balanced Learning
Youngkyu Hong · Eunho Yang
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Efficient Statistical Assessment of Neural Network Corruption Robustness
Karim TIT · Teddy Furon · Mathias ROUSSET
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST) @ Virtual
Robust Visual Reasoning via Language Guided Neural Module Networks
Arjun Akula · Varun Jampani · Soravit Changpinyo · Song-Chun Zhu
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Robust and differentially private mean estimation
Xiyang Liu · Weihao Kong · Sham Kakade · Sewoong Oh
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Regulating algorithmic filtering on social media
Sarah Cen · Devavrat Shah
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
The future is log-Gaussian: ResNets and their infinite-depth-and-width limit at initialization
Mufan Li · Mihai Nica · Dan Roy
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Closing the Gap: Tighter Analysis of Alternating Stochastic Gradient Methods for Bilevel Problems
Tianyi Chen · Yuejiao Sun · Wotao Yin
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Functional Regularization for Reinforcement Learning via Learned Fourier Features
Alex Li · Deepak Pathak
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Conservative Offline Distributional Reinforcement Learning
Jason Yecheng Ma · Dinesh Jayaraman · Osbert Bastani
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods
Derek Lim · Felix Hohne · Xiuyu Li · Sijia Linda Huang · Vaishnavi Gupta · Omkar Bhalerao · Ser Nam Lim
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Realistic evaluation of transductive few-shot learning
Olivier Veilleux · Malik Boudiaf · Pablo Piantanida · Ismail Ben Ayed
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Systematic Generalization with Edge Transformers
Leon Bergen · Timothy O'Donnell · Dzmitry Bahdanau
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Associative Memories via Predictive Coding
Tommaso Salvatori · Yuhang Song · Yujian Hong · Lei Sha · Simon Frieder · Zhenghua Xu · Rafal Bogacz · Thomas Lukasiewicz
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST) @ Virtual
SUPER-ADAM: Faster and Universal Framework of Adaptive Gradients
Feihu Huang · Junyi Li · Heng Huang
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Fairness in Ranking under Uncertainty
Ashudeep Singh · David Kempe · Thorsten Joachims
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
SalKG: Learning From Knowledge Graph Explanations for Commonsense Reasoning
Aaron Chan · Jiashu Xu · Boyuan Long · Soumya Sanyal · Tanishq Gupta · Xiang Ren
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
ProTo: Program-Guided Transformer for Program-Guided Tasks
Zelin Zhao · Karan Samel · Binghong Chen · lee song
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Continuous-time edge modelling using non-parametric point processes
Xuhui Fan · Bin Li · Feng Zhou · Scott SIsson
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
DominoSearch: Find layer-wise fine-grained N:M sparse schemes from dense neural networks
Wei Sun · Aojun Zhou · Sander Stuijk · Rob Wijnhoven · Andrew Nelson · Hongsheng Li · Henk Corporaal
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
FedDR – Randomized Douglas-Rachford Splitting Algorithms for Nonconvex Federated Composite Optimization
Quoc Tran Dinh · Nhan H Pham · Dzung Phan · Lam Nguyen
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Clockwork Variational Autoencoders
Vaibhav Saxena · Jimmy Ba · Danijar Hafner
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST) @ Virtual
VQ-GNN: A Universal Framework to Scale up Graph Neural Networks using Vector Quantization
Mucong Ding · Kezhi Kong · Jingling Li · Chen Zhu · John Dickerson · Furong Huang · Tom Goldstein
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Multi-Agent Reinforcement Learning in Stochastic Networked Systems
Yiheng Lin · Guannan Qu · Longbo Huang · Adam Wierman
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Techniques for Symbol Grounding with SATNet
Sever Topan · David Rolnick · Xujie Si
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
A Minimalist Approach to Offline Reinforcement Learning
Scott Fujimoto · Shixiang (Shane) Gu
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
DIB-R++: Learning to Predict Lighting and Material with a Hybrid Differentiable Renderer
Wenzheng Chen · Joey Litalien · Jun Gao · Zian Wang · Clement Fuji Tsang · Sameh Khamis · Or Litany · Sanja Fidler
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Backdoor Attack with Imperceptible Input and Latent Modification
Khoa Doan · Yingjie Lao · Ping Li
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Permutation-Invariant Variational Autoencoder for Graph-Level Representation Learning
Robin Winter · Frank Noe · Djork-Arné Clevert
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Slice Sampling Reparameterization Gradients
David Zoltowski · Diana Cai · Ryan Adams
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Understanding Interlocking Dynamics of Cooperative Rationalization
Mo Yu · Yang Zhang · Shiyu Chang · Tommi Jaakkola
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Uniform Convergence of Interpolators: Gaussian Width, Norm Bounds and Benign Overfitting
Frederic Koehler · Lijia Zhou · Danica J. Sutherland · Nathan Srebro
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST) @ Virtual
RLlib Flow: Distributed Reinforcement Learning is a Dataflow Problem
Eric Liang · Zhanghao Wu · Michael Luo · Sven Mika · Joseph Gonzalez · Ion Stoica
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Dynamic Inference with Neural Interpreters
Nasim Rahaman · Muhammad Waleed Gondal · Shruti Joshi · Peter Gehler · Yoshua Bengio · Francesco Locatello · Bernhard Schölkopf
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Controlling Neural Networks with Rule Representations
Sungyong Seo · Sercan Arik · Jinsung Yoon · Xiang Zhang · Kihyuk Sohn · Tomas Pfister
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Differentially Private Learning with Adaptive Clipping
Galen Andrew · Om Thakkar · Brendan McMahan · Swaroop Ramaswamy
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Robust Counterfactual Explanations on Graph Neural Networks
Mohit Bajaj · Lingyang Chu · Zi Yu Xue · Jian Pei · Lanjun Wang · Peter Cho-Ho Lam · Yong Zhang
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST) @ Virtual
Successor Feature Landmarks for Long-Horizon Goal-Conditioned Reinforcement Learning
Christopher Hoang · Sungryull Sohn · Jongwook Choi · Wilka Carvalho · Honglak Lee
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Learning to Assimilate in Chaotic Dynamical Systems
John McCabe · Jed Brown
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Pessimism Meets Invariance: Provably Efficient Offline Mean-Field Multi-Agent RL
Minshuo Chen · Yan Li · Ethan Wang · Zhuoran Yang · Zhaoran Wang · Tuo Zhao
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
An Exponential Improvement on the Memorization Capacity of Deep Threshold Networks
Shashank Rajput · Kartik Sreenivasan · Dimitris Papailiopoulos · Amin Karbasi
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Learning to Select Exogenous Events for Marked Temporal Point Process
Ping Zhang · Rishabh Iyer · Ashish Tendulkar · Gaurav Aggarwal · Abir De
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Reducing Collision Checking for Sampling-Based Motion Planning Using Graph Neural Networks
Chenning Yu · Sicun Gao
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Discovering and Achieving Goals via World Models
Russell Mendonca · Oleh Rybkin · Kostas Daniilidis · Danijar Hafner · Deepak Pathak
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Lower Bounds on Metropolized Sampling Methods for Well-Conditioned Distributions
Yin Tat Lee · Ruoqi Shen · Kevin Tian
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
REMIPS: Physically Consistent 3D Reconstruction of Multiple Interacting People under Weak Supervision
Mihai Fieraru · Mihai Zanfir · Teodor Szente · Eduard Bazavan · Vlad Olaru · Cristian Sminchisescu
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST) @ Virtual
Adaptive wavelet distillation from neural networks through interpretations
Wooseok Ha · Chandan Singh · Francois Lanusse · Srigokul Upadhyayula · Bin Yu
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Functionally Regionalized Knowledge Transfer for Low-resource Drug Discovery
Huaxiu Yao · Ying Wei · Long-Kai Huang · Ding Xue · Junzhou Huang · Zhenhui (Jessie) Li
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Efficiently Learning One Hidden Layer ReLU Networks From Queries
Sitan Chen · Adam Klivans · Raghu Meka
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Scalable and Stable Surrogates for Flexible Classifiers with Fairness Constraints
Henry C Bendekgey · Erik Sudderth
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Pointwise Bounds for Distribution Estimation under Communication Constraints
Wei-Ning Chen · Peter Kairouz · Ayfer Ozgur
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Mean-based Best Arm Identification in Stochastic Bandits under Reward Contamination
Arpan Mukherjee · Ali Tajer · Pin-Yu Chen · Payel Das
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Can we globally optimize cross-validation loss? Quasiconvexity in ridge regression
Will Stephenson · Zachary Frangella · Madeleine Udell · Tamara Broderick
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Uniform-PAC Bounds for Reinforcement Learning with Linear Function Approximation
Jiafan He · Dongruo Zhou · Quanquan Gu
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST) @ Virtual
Safe Policy Optimization with Local Generalized Linear Function Approximations
Akifumi Wachi · Yunyue Wei · Yanan Sui
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Extracting Deformation-Aware Local Features by Learning to Deform
Guilherme Potje · Renato Martins · Felipe Chamone · Erickson Nascimento
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Simple Stochastic and Online Gradient Descent Algorithms for Pairwise Learning
ZHENHUAN YANG · Yunwen Lei · Puyu Wang · Tianbao Yang · Yiming Ying
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Finite-Sample Analysis of Off-Policy TD-Learning via Generalized Bellman Operators
Zaiwei Chen · Siva Theja Maguluri · Sanjay Shakkottai · Karthikeyan Shanmugam
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
SOFT: Softmax-free Transformer with Linear Complexity
Jiachen Lu · Jinghan Yao · Junge Zhang · Xiatian Zhu · Hang Xu · Weiguo Gao · Chunjing XU · Tao Xiang · Li Zhang
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Increasing Liquid State Machine Performance with Edge-of-Chaos Dynamics Organized by Astrocyte-modulated Plasticity
Vladimir Ivanov · Konstantinos Michmizos
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Knowledge-inspired 3D Scene Graph Prediction in Point Cloud
Shoulong Zhang · shuai li · Aimin Hao · Hong Qin
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Adaptive Diffusion in Graph Neural Networks
Jialin Zhao · Yuxiao Dong · Ming Ding · Evgeny Kharlamov · Jie Tang
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Modeling Heterogeneous Hierarchies with Relation-specific Hyperbolic Cones
Yushi Bai · Zhitao Ying · Hongyu Ren · Jure Leskovec
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Latent Execution for Neural Program Synthesis Beyond Domain-Specific Languages
Xinyun Chen · Dawn Song · Yuandong Tian
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Exploiting Chain Rule and Bayes' Theorem to Compare Probability Distributions
Huangjie Zheng · Mingyuan Zhou
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Efficiently Identifying Task Groupings for Multi-Task Learning
Chris Fifty · Ehsan Amid · Zhe Zhao · Tianhe Yu · Rohan Anil · Chelsea Finn
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Qu-ANTI-zation: Exploiting Quantization Artifacts for Achieving Adversarial Outcomes
Sanghyun Hong · Michael-Andrei Panaitescu-Liess · Yigitcan Kaya · Tudor Dumitras
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Heuristic-Guided Reinforcement Learning
Ching-An Cheng · Andrey Kolobov · Adith Swaminathan
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Learning to delegate for large-scale vehicle routing
Sirui Li · Zhongxia Yan · Cathy Wu
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Reliable Post hoc Explanations: Modeling Uncertainty in Explainability
Dylan Slack · Anna Hilgard · Sameer Singh · Himabindu Lakkaraju
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
HyperSPNs: Compact and Expressive Probabilistic Circuits
Andy Shih · Dorsa Sadigh · Stefano Ermon
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
Deep Extrapolation for Attribute-Enhanced Generation
Alvin Chan · Ali Madani · Ben Krause · Nikhil Naik
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
How can classical multidimensional scaling go wrong?
Rishi Sonthalia · Greg Van Buskirk · Benjamin Raichel · Anna Gilbert
Poster
Thu Dec 09 04:30 PM -- 06:00 PM (PST)
A Bi-Level Framework for Learning to Solve Combinatorial Optimization on Graphs
Runzhong Wang · Zhigang Hua · Gan Liu · Jiayi Zhang · Junchi Yan · Feng Qi · Shuang Yang · Jun Zhou · Xiaokang Yang
Affinity Workshop
Thu Dec 09 06:00 PM -- 11:00 PM (PST)
WiML Workshop 2
Soomin Aga Lee · Meera Desai · Nezihe Merve Gürel · Boyi Li · Linh Tran · Akiko Eriguchi · Jieyu Zhao · Salomey Osei · Sirisha Rambhatla · Geeticka Chauhan · Nwamaka (Amaka) Okafor · Mariya Vasileva
Town Hall
Thu Dec 09 11:00 PM -- 12:00 AM (PST)
Town Hall
Datasets and Benchmarks
Fri Dec 10 12:00 AM -- 01:00 AM (PST)
Dataset and Benchmark Track 3
Joaquin Vanschoren · Serena Yeung
Oral
Fri Dec 10 12:00 AM -- 12:15 AM (PST)
Passive attention in artificial neural networks predicts human visual selectivity
Thomas Langlois · Haicheng Zhao · Erin Grant · Ishita Dasgupta · Tom Griffiths · Nori Jacoby
Oral
Fri Dec 10 12:00 AM -- 12:15 AM (PST)
Risk Monotonicity in Statistical Learning
Zakaria Mhammedi
Q&A
Fri Dec 10 12:15 AM -- 12:20 AM (PST)
Q&A
Q&A
Fri Dec 10 12:15 AM -- 12:20 AM (PST)
Q&A
Oral
Fri Dec 10 12:20 AM -- 12:35 AM (PST)
Uniform Convergence of Interpolators: Gaussian Width, Norm Bounds and Benign Overfitting
Frederic Koehler · Lijia Zhou · Danica J. Sutherland · Nathan Srebro
Oral
Fri Dec 10 12:20 AM -- 12:35 AM (PST)
Shape As Points: A Differentiable Poisson Solver
Songyou Peng · Chiyu Jiang · Yiyi Liao · Michael Niemeyer · Marc Pollefeys · Andreas Geiger
Q&A
Fri Dec 10 12:35 AM -- 12:40 AM (PST)
Q&A
Q&A
Fri Dec 10 12:35 AM -- 12:40 AM (PST)
Q&A
Oral
Fri Dec 10 12:40 AM -- 12:55 AM (PST)
The decomposition of the higher-order homology embedding constructed from the $k$-Laplacian
Yu-Chia Chen · Marina Meila
Oral
Fri Dec 10 12:40 AM -- 12:55 AM (PST)
Optimal Rates for Random Order Online Optimization
Uri Sherman · Tomer Koren · Yishay Mansour
Q&A
Fri Dec 10 12:55 AM -- 01:00 AM (PST)
Q&A
Q&A
Fri Dec 10 12:55 AM -- 01:00 AM (PST)
Q&A
Affinity Workshop
Fri Dec 10 02:00 AM -- 07:00 AM (PST)
WiML Workshop 3
Soomin Aga Lee · Meera Desai · Nezihe Merve Gürel · Boyi Li · Linh Tran · Akiko Eriguchi · Jieyu Zhao · Salomey Osei · Sirisha Rambhatla · Geeticka Chauhan · Nwamaka (Amaka) Okafor · Mariya Vasileva
Affinity Workshop
Fri Dec 10 02:00 AM -- 07:00 AM (PST)
Black in AI Workshop
Irene Nandutu · Hameed Abdul-Rashid · Foutse Yuehgoh · Mírian Silva · Salomey Osei · Victor Silva
Competition
Fri Dec 10 02:00 AM -- 06:44 AM (PST)
Competition Track Day 4: Overviews + Breakout Sessions
Douwe Kiela · Marco Ciccone · Barbara Caputo
Invited Talk
Fri Dec 10 07:00 AM -- 08:30 AM (PST)
The Collective Intelligence of Army Ants, and the Robots They Inspire
Radhika Nagpal
Datasets and Benchmarks
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Dataset and Benchmark Poster Session 4
Joaquin Vanschoren · Serena Yeung
Demonstration
Fri Dec 10 08:30 AM -- 09:50 AM (PST)
Demonstrations 4
Douwe Kiela · Barbara Caputo · Marco Ciccone
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST) @ Virtual
RMM: Reinforced Memory Management for Class-Incremental Learning
Yaoyao Liu · Bernt Schiele · Qianru Sun
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Hierarchical Skills for Efficient Exploration
Jonas Gehring · Gabriel Synnaeve · Andreas Krause · Nicolas Usunier
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Analytic Study of Families of Spurious Minima in Two-Layer ReLU Neural Networks: A Tale of Symmetry II
Yossi Arjevani · Michael Field
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Towards Unifying Behavioral and Response Diversity for Open-ended Learning in Zero-sum Games
Xiangyu Liu · Hangtian Jia · Ying Wen · Yujing Hu · Yingfeng Chen · Changjie Fan · ZHIPENG HU · Yaodong Yang
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
On the Expressivity of Markov Reward
David Abel · Will Dabney · Anna Harutyunyan · Mark Ho · Michael Littman · Doina Precup · Satinder Singh
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Minimax Regret for Stochastic Shortest Path
Alon Cohen · Yonathan Efroni · Yishay Mansour · Aviv Rosenberg
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST) @ Virtual
Predicting Deep Neural Network Generalization with Perturbation Response Curves
Yair Schiff · Brian Quanz · Payel Das · Pin-Yu Chen
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
A Provably Efficient Model-Free Posterior Sampling Method for Episodic Reinforcement Learning
Christoph Dann · Mehryar Mohri · Tong Zhang · Julian Zimmert
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
The functional specialization of visual cortex emerges from training parallel pathways with self-supervised predictive learning
Shahab Bakhtiari · Patrick Mineault · Timothy Lillicrap · Christopher Pack · Blake Richards
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Small random initialization is akin to spectral learning: Optimization and generalization guarantees for overparameterized low-rank matrix reconstruction
Dominik Stöger · Mahdi Soltanolkotabi
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
On Contrastive Representations of Stochastic Processes
Emile Mathieu · Adam Foster · Yee Teh
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Learning Knowledge Graph-based World Models of Textual Environments
Prithviraj Ammanabrolu · Mark Riedl
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Memory-efficient Patch-based Inference for Tiny Deep Learning
Ji Lin · Wei-Ming Chen · Han Cai · Chuang Gan · Song Han
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST) @ Virtual
To The Point: Correspondence-driven monocular 3D category reconstruction
Filippos Kokkinos · Iasonas Kokkinos
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Scatterbrain: Unifying Sparse and Low-rank Attention
Beidi Chen · Tri Dao · Eric Winsor · Zhao Song · Atri Rudra · Christopher Ré
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
How Fine-Tuning Allows for Effective Meta-Learning
Kurtland Chua · Qi Lei · Jason Lee
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Drop, Swap, and Generate: A Self-Supervised Approach for Generating Neural Activity
Ran Liu · Mehdi Azabou · Max Dabagia · Chi-Heng Lin · Mohammad Gheshlaghi Azar · Keith Hengen · Michal Valko · Eva Dyer
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Antipodes of Label Differential Privacy: PATE and ALIBI
Mani Malek Esmaeili · Ilya Mironov · Karthik Prasad · Igor Shilov · Florian Tramer
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Dynamic Causal Bayesian Optimization
Virginia Aglietti · Neil Dhir · Javier González · Theodoros Damoulas
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
A Theoretical Analysis of Fine-tuning with Linear Teachers
Gal Shachaf · Alon Brutzkus · Amir Globerson
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Going Beyond Linear Transformers with Recurrent Fast Weight Programmers
Kazuki Irie · Imanol Schlag · Róbert Csordás · Jürgen Schmidhuber
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
On Linear Stability of SGD and Input-Smoothness of Neural Networks
Chao Ma · Lexing Ying
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Progressive Feature Interaction Search for Deep Sparse Network
Chen Gao · Yinfeng Li · Quanming Yao · Depeng Jin · Yong Li
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Private Non-smooth ERM and SCO in Subquadratic Steps
Janardhan Kulkarni · Yin Tat Lee · Daogao Liu
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
DROID-SLAM: Deep Visual SLAM for Monocular, Stereo, and RGB-D Cameras
Zachary Teed · Jia Deng
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Sparse Flows: Pruning Continuous-depth Models
Lucas Liebenwein · Ramin Hasani · Alexander Amini · Daniela Rus
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Square Root Principal Component Pursuit: Tuning-Free Noisy Robust Matrix Recovery
Junhui Zhang · Jingkai Yan · John Wright
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Cross-view Geo-localization with Layer-to-Layer Transformer
Hongji Yang · Xiufan Lu · Yingying Zhu
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Can You Learn an Algorithm? Generalizing from Easy to Hard Problems with Recurrent Networks
Avi Schwarzschild · Eitan Borgnia · Arjun Gupta · Furong Huang · Uzi Vishkin · Micah Goldblum · Tom Goldstein
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
The Limits of Optimal Pricing in the Dark
Quinlan Dawkins · Minbiao Han · Haifeng Xu
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Hierarchical Clustering: $O(1)$-Approximation for Well-Clustered Graphs
Bogdan-Adrian Manghiuc · He Sun
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
On Locality of Local Explanation Models
Sahra Ghalebikesabi · Lucile Ter-Minassian · Karla DiazOrdaz · Chris C Holmes
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST) @ Virtual
Learning Fast-Inference Bayesian Networks
Vaidyanathan Peruvemba Ramaswamy · Stefan Szeider
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Communication-efficient SGD: From Local SGD to One-Shot Averaging
Artin Spiridonoff · Alex Olshevsky · Yannis Paschalidis
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Reward is enough for convex MDPs
Tom Zahavy · Brendan O'Donoghue · Guillaume Desjardins · Satinder Singh
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Estimating the Unique Information of Continuous Variables
Ari Pakman · Amin Nejatbakhsh · Dar Gilboa · Abdullah Makkeh · Luca Mazzucato · Michael Wibral · Elad Schneidman
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
CCVS: Context-aware Controllable Video Synthesis
Guillaume Le Moing · Jean Ponce · Cordelia Schmid
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Invariant Causal Imitation Learning for Generalizable Policies
Ioana Bica · Daniel Jarrett · Mihaela van der Schaar
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Local Explanation of Dialogue Response Generation
Yi-Lin Tuan · Connor Pryor · Wenhu Chen · Lise Getoor · William Yang Wang
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
EDGE: Explaining Deep Reinforcement Learning Policies
Wenbo Guo · Xian Wu · Usmann Khan · Xinyu Xing
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Contrastive Learning for Neural Topic Model
Thong Nguyen · Anh Tuan Luu
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Bellman-consistent Pessimism for Offline Reinforcement Learning
Tengyang Xie · Ching-An Cheng · Nan Jiang · Paul Mineiro · Alekh Agarwal
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Foundations of Symbolic Languages for Model Interpretability
Marcelo Arenas · Daniel Báez · Pablo Barceló · Jorge Pérez · Bernardo Subercaseaux
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Luna: Linear Unified Nested Attention
Xuezhe Ma · Xiang Kong · Sinong Wang · Chunting Zhou · Jonathan May · Hao Ma · Luke Zettlemoyer
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Implicit Bias of SGD for Diagonal Linear Networks: a Provable Benefit of Stochasticity
Scott Pesme · Loucas Pillaud-Vivien · Nicolas Flammarion
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Active clustering for labeling training data
Quentin Lutz · Elie de Panafieu · Maya Stein · Alex Scott
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
The Effect of the Intrinsic Dimension on the Generalization of Quadratic Classifiers
Fabian Latorre · Leello Tadesse Dadi · Paul Rolland · Volkan Cevher
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST) @ Virtual
End-to-End Training of Multi-Document Reader and Retriever for Open-Domain Question Answering
Devendra Singh · Siva Reddy · Will Hamilton · Chris Dyer · Dani Yogatama
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Label consistency in overfitted generalized $k$-means
Linfan Zhang · Arash Amini
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Think Big, Teach Small: Do Language Models Distil Occam’s Razor?
Gonzalo Jaimovitch-Lopez · David Castellano Falcón · Cesar Ferri · José Hernández-Orallo
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Laplace Redux - Effortless Bayesian Deep Learning
Erik Daxberger · Agustinus Kristiadi · Alexander Immer · Runa Eschenhagen · Matthias Bauer · Philipp Hennig
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Independent Prototype Propagation for Zero-Shot Compositionality
Frank Ruis · Gertjan Burghouts · Doina Bucur
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
SGD: The Role of Implicit Regularization, Batch-size and Multiple-epochs
Ayush Sekhari · Karthik Sridharan · Satyen Kale
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
3D Siamese Voxel-to-BEV Tracker for Sparse Point Clouds
Le Hui · Lingpeng Wang · Mingmei Cheng · Jin Xie · Jian Yang
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Local Signal Adaptivity: Provable Feature Learning in Neural Networks Beyond Kernels
Stefani Karp · Ezra Winston · Yuanzhi Li · Aarti Singh
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST) @ Virtual
Parametric Complexity Bounds for Approximating PDEs with Neural Networks
Tanya Marwah · Zachary Lipton · Andrej Risteski
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Why Do Better Loss Functions Lead to Less Transferable Features?
Simon Kornblith · Ting Chen · Honglak Lee · Mohammad Norouzi
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Federated Linear Contextual Bandits
Ruiquan Huang · Weiqiang Wu · Jing Yang · Cong Shen
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Generic Neural Architecture Search via Regression
Yuhong Li · Cong Hao · Pan Li · Jinjun Xiong · Deming Chen
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Hash Layers For Large Sparse Models
Stephen Roller · Sainbayar Sukhbaatar · arthur szlam · Jason Weston
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Adversarial Intrinsic Motivation for Reinforcement Learning
Ishan Durugkar · Mauricio Tec · Scott Niekum · Peter Stone
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
SOPE: Spectrum of Off-Policy Estimators
Christina Yuan · Yash Chandak · Stephen Giguere · Philip Thomas · Scott Niekum
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Deep Marching Tetrahedra: a Hybrid Representation for High-Resolution 3D Shape Synthesis
Tianchang Shen · Jun Gao · Kangxue Yin · Ming-Yu Liu · Sanja Fidler
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST) @ Virtual
Distributed Deep Learning In Open Collaborations
Michael Diskin · Alexey Bukhtiyarov · Max Ryabinin · Lucile Saulnier · quentin lhoest · Anton Sinitsin · Dmitry Popov · Dmitry V. Pyrkin · Maxim Kashirin · Alexander Borzunov · Albert Villanova del Moral · Denis Mazur · Ilia Kobelev · Yacine Jernite · Thomas Wolf · Gennady Pekhimenko
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Concentration inequalities under sub-Gaussian and sub-exponential conditions
Andreas Maurer · Massimiliano Pontil
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Towards Robust and Reliable Algorithmic Recourse
Sohini Upadhyay · Shalmali Joshi · Himabindu Lakkaraju
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Breaking the Linear Iteration Cost Barrier for Some Well-known Conditional Gradient Methods Using MaxIP Data-structures
Zhaozhuo Xu · Zhao Song · Anshumali Shrivastava
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Topological Relational Learning on Graphs
Yuzhou Chen · Baris Coskunuzer · Yulia Gel
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Clustering Effect of Adversarial Robust Models
Yang Bai · Xin Yan · Yong Jiang · Shu-Tao Xia · Yisen Wang
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST) @ Virtual
Conditional Generation Using Polynomial Expansions
Grigorios Chrysos · Markos Georgopoulos · Yannis Panagakis
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
A Normative and Biologically Plausible Algorithm for Independent Component Analysis
Yanis Bahroun · Dmitri Chklovskii · Anirvan Sengupta
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Algorithmic Instabilities of Accelerated Gradient Descent
Amit Attia · Tomer Koren
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Relative Flatness and Generalization
Henning Petzka · Michael Kamp · Linara Adilova · Cristian Sminchisescu · Mario Boley
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Emergent Communication of Generalizations
Jesse Mu · Noah Goodman
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Fast Projection onto the Capped Simplex with Applications to Sparse Regression in Bioinformatics
Man Shun Ang · Jianzhu Ma · Nianjun Liu · Kun Huang · Yijie Wang
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Batch Active Learning at Scale
Gui Citovsky · Giulia DeSalvo · Claudio Gentile · Lazaros Karydas · Anand Rajagopalan · Afshin Rostamizadeh · Sanjiv Kumar
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Neural Flows: Efficient Alternative to Neural ODEs
Marin Biloš · Johanna Sommer · Syama Sundar Rangapuram · Tim Januschowski · Stephan Günnemann
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Learning to Time-Decode in Spiking Neural Networks Through the Information Bottleneck
Nicolas Skatchkovsky · Osvaldo Simeone · Hyeryung Jang
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Is Automated Topic Model Evaluation Broken? The Incoherence of Coherence
Alexander Hoyle · Pranav Goel · Andrew Hian-Cheong · Denis Peskov · Jordan Boyd-Graber · Philip Resnik
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
On Training Implicit Models
Zhengyang Geng · Xin-Yu Zhang · Shaojie Bai · Yisen Wang · Zhouchen Lin
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Uniform Concentration Bounds toward a Unified Framework for Robust Clustering
Debolina Paul · Saptarshi Chakraborty · Swagatam Das · Jason Xu
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Universal Rate-Distortion-Perception Representations for Lossy Compression
George Zhang · Jingjing Qian · Jun Chen · Ashish Khisti
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST) @ Virtual
Explanation-based Data Augmentation for Image Classification
Sandareka Wickramanayake · Wynne Hsu · Mong Li Lee
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Moshpit SGD: Communication-Efficient Decentralized Training on Heterogeneous Unreliable Devices
Max Ryabinin · Eduard Gorbunov · Vsevolod Plokhotnyuk · Gennady Pekhimenko
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Learning to Ground Multi-Agent Communication with Autoencoders
Toru Lin · Jacob Huh · Christopher Stauffer · Ser Nam Lim · Phillip Isola
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
No RL, No Simulation: Learning to Navigate without Navigating
Meera Hahn · Devendra Singh Chaplot · Shubham Tulsiani · Mustafa Mukadam · James Rehg · Abhinav Gupta
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Encoding Spatial Distribution of Convolutional Features for Texture Representation
Yong Xu · Feng Li · Zhile Chen · Jinxiu Liang · Yuhui Quan
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
On the Power of Edge Independent Graph Models
Sudhanshu Chanpuriya · Cameron Musco · Konstantinos Sotiropoulos · Charalampos Tsourakakis
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Argmax Flows and Multinomial Diffusion: Learning Categorical Distributions
Emiel Hoogeboom · Didrik Nielsen · Priyank Jaini · Patrick Forré · Max Welling
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST) @ Virtual
Sparse is Enough in Scaling Transformers
Sebastian Jaszczur · Aakanksha Chowdhery · Afroz Mohiuddin · LUKASZ KAISER · Wojciech Gajewski · Henryk Michalewski · Jonni Kanerva
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Sequential Algorithms for Testing Closeness of Distributions
Aadil Oufkir · Omar Fawzi · Nicolas Flammarion · Aurélien Garivier
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
$\alpha$-IoU: A Family of Power Intersection over Union Losses for Bounding Box Regression
JIABO HE · Sarah Erfani · Xingjun Ma · James Bailey · Ying Chi · Xian-Sheng Hua
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
On the Validity of Modeling SGD with Stochastic Differential Equations (SDEs)
Zhiyuan Li · Sadhika Malladi · Sanjeev Arora
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Constrained Two-step Look-Ahead Bayesian Optimization
Yunxiang Zhang · Xiangyu Zhang · Peter Frazier
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST) @ Virtual
Last iterate convergence of SGD for Least-Squares in the Interpolation regime.
Aditya Vardhan Varre · Loucas Pillaud-Vivien · Nicolas Flammarion
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Beta-CROWN: Efficient Bound Propagation with Per-neuron Split Constraints for Neural Network Robustness Verification
Shiqi Wang · Huan Zhang · Kaidi Xu · Xue Lin · Suman Jana · Cho-Jui Hsieh · J. Zico Kolter
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Entropic Desired Dynamics for Intrinsic Control
Steven Hansen · Guillaume Desjardins · Kate Baumli · David Warde-Farley · Nicolas Heess · Simon Osindero · Volodymyr Mnih
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
ParK: Sound and Efficient Kernel Ridge Regression by Feature Space Partitions
Luigi Carratino · Stefano Vigogna · Daniele Calandriello · Lorenzo Rosasco
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Turing Completeness of Bounded-Precision Recurrent Neural Networks
Stephen Chung · Hava Siegelmann
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Early-stopped neural networks are consistent
Ziwei Ji · Justin Li · Matus Telgarsky
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
The Out-of-Distribution Problem in Explainability and Search Methods for Feature Importance Explanations
Peter Hase · Harry Xie · Mohit Bansal
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Leveraging Recursive Gumbel-Max Trick for Approximate Inference in Combinatorial Spaces
Kirill Struminsky · Artyom Gadetsky · Denis Rakitin · Danil Karpushkin · Dmitry Vetrov
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Robust Contrastive Learning Using Negative Samples with Diminished Semantics
Songwei Ge · Shlok Mishra · Chun-Liang Li · Haohan Wang · David Jacobs
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Implicit Regularization in Matrix Sensing via Mirror Descent
Fan Wu · Patrick Rebeschini
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Reinforcement Learning with State Observation Costs in Action-Contingent Noiselessly Observable Markov Decision Processes
HyunJi Alex Nam · Scott Fleming · Emma Brunskill
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST) @ Virtual
To Beam Or Not To Beam: That is a Question of Cooperation for Language GANs
Thomas Scialom · Paul-Alexis Dray · Jacopo Staiano · Sylvain Lamprier · Benjamin Piwowarski
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
On the Frequency Bias of Generative Models
Katja Schwarz · Yiyi Liao · Andreas Geiger
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Improving Computational Efficiency in Visual Reinforcement Learning via Stored Embeddings
Lili Chen · Kimin Lee · Aravind Srinivas · Pieter Abbeel
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
On the Existence of The Adversarial Bayes Classifier
Pranjal Awasthi · Natalie Frank · Mehryar Mohri
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Tractable Density Estimation on Learned Manifolds with Conformal Embedding Flows
Brendan Ross · Jesse Cresswell
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
An Uncertainty Principle is a Price of Privacy-Preserving Microdata
John Abowd · Robert Ashmead · Ryan Cumings-Menon · Simson Garfinkel · Daniel Kifer · Philip Leclerc · William Sexton · Ashley Simpson · Christine Task · Pavel Zhuravlev
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST) @ Virtual
Compressing Neural Networks: Towards Determining the Optimal Layer-wise Decomposition
Lucas Liebenwein · Alaa Maalouf · Dan Feldman · Daniela Rus
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
The Utility of Explainable AI in Ad Hoc Human-Machine Teaming
Rohan Paleja · Muyleng Ghuy · Nadun Ranawaka Arachchige · Reed Jensen · Matthew Gombolay
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Convergence of adaptive algorithms for constrained weakly convex optimization
Ahmet Alacaoglu · Yura Malitsky · Volkan Cevher
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Two Sides of Meta-Learning Evaluation: In vs. Out of Distribution
Amrith Setlur · Oscar Li · Virginia Smith
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Directed Graph Contrastive Learning
Zekun Tong · Yuxuan Liang · Henghui Ding · Yongxing Dai · Xinke Li · Changhu Wang
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Contrastive Active Inference
Pietro Mazzaglia · Tim Verbelen · Bart Dhoedt
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
DSelect-k: Differentiable Selection in the Mixture of Experts with Applications to Multi-Task Learning
Hussein Hazimeh · Zhe Zhao · Aakanksha Chowdhery · Maheswaran Sathiamoorthy · Yihua Chen · Rahul Mazumder · Lichan Hong · Ed Chi
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
On Plasticity, Invariance, and Mutually Frozen Weights in Sequential Task Learning
Julian Zilly · Alessandro Achille · Andrea Censi · Emilio Frazzoli
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Designing Counterfactual Generators using Deep Model Inversion
Jayaraman Thiagarajan · Vivek Sivaraman Narayanaswamy · Deepta Rajan · Jia Liang · Akshay Chaudhari · Andreas Spanias
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Scalable Neural Data Server: A Data Recommender for Transfer Learning
Tianshi Cao · Sasha (Alexandre) Doubov · David Acuna · Sanja Fidler
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
High Probability Complexity Bounds for Line Search Based on Stochastic Oracles
Billy Jin · Katya Scheinberg · Miaolan Xie
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Keeping Your Eye on the Ball: Trajectory Attention in Video Transformers
Mandela Patrick · Dylan Campbell · Yuki Asano · Ishan Misra · Florian Metze · Christoph Feichtenhofer · Andrea Vedaldi · João Henriques
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Adversarial Training Helps Transfer Learning via Better Representations
Zhun Deng · Linjun Zhang · Kailas Vodrahalli · Kenji Kawaguchi · James Zou
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Invertible DenseNets with Concatenated LipSwish
Yura Perugachi-Diaz · Jakub Tomczak · Sandjai Bhulai
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
TransformerFusion: Monocular RGB Scene Reconstruction using Transformers
Aljaz Bozic · Pablo Palafox · Justus Thies · Angela Dai · Matthias Niessner
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST) @ Virtual
Solving Graph-based Public Goods Games with Tree Search and Imitation Learning
Victor-Alexandru Darvariu · Stephen Hailes · Mirco Musolesi
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Making a (Counterfactual) Difference One Rationale at a Time
Mitchell Plyler · Michael Green · Min Chi
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Online Facility Location with Multiple Advice
Matteo Almanza · Flavio Chierichetti · Silvio Lattanzi · Alessandro Panconesi · Giuseppe Re
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST) @ Virtual
DNN-based Topology Optimisation: Spatial Invariance and Neural Tangent Kernel
Benjamin Dupuis · Arthur Jacot
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST) @ Virtual
Speedy Performance Estimation for Neural Architecture Search
Robin Ru · Clare Lyle · Lisa Schut · Miroslav Fil · Mark van der Wilk · Yarin Gal
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Towards Deeper Deep Reinforcement Learning with Spectral Normalization
Nils Bjorck · Carla Gomes · Kilian Weinberger
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Dual Parameterization of Sparse Variational Gaussian Processes
Vincent ADAM · Paul Chang · Mohammad Emtiyaz Khan · Arno Solin
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Parallel and Efficient Hierarchical k-Median Clustering
Vincent Cohen-Addad · Silvio Lattanzi · Ashkan Norouzi-Fard · Christian Sohler · Ola Svensson
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Memory-Efficient Approximation Algorithms for Max-k-Cut and Correlation Clustering
Nimita Shinde · Vishnu Narayanan · James Saunderson
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Capacity and Bias of Learned Geometric Embeddings for Directed Graphs
Michael Boratko · Dongxu Zhang · Nicholas Monath · Luke Vilnis · Kenneth L Clarkson · Andrew McCallum
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST) @ Virtual
Novel Visual Category Discovery with Dual Ranking Statistics and Mutual Knowledge Distillation
Bingchen Zhao · Kai Han
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Smoothness Matrices Beat Smoothness Constants: Better Communication Compression Techniques for Distributed Optimization
Mher Safaryan · Filip Hanzely · Peter Richtarik
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Sparse Training via Boosting Pruning Plasticity with Neuroregeneration
Shiwei Liu · Tianlong Chen · Xiaohan Chen · Zahra Atashgahi · Lu Yin · Huanyu Kou · Li Shen · Mykola Pechenizkiy · Zhangyang Wang · Decebal Constantin Mocanu
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
On the Power of Differentiable Learning versus PAC and SQ Learning
Emmanuel Abbe · Pritish Kamath · Eran Malach · Colin Sandon · Nathan Srebro
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Space-time Mixing Attention for Video Transformer
Adrian Bulat · Juan Manuel Perez Rua · Swathikiran Sudhakaran · Brais Martinez · Georgios Tzimiropoulos
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
A Gaussian Process-Bayesian Bernoulli Mixture Model for Multi-Label Active Learning
Weishi Shi · Dayou Yu · Qi Yu
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST) @ Virtual
How Powerful are Performance Predictors in Neural Architecture Search?
Colin White · Arber Zela · Robin Ru · Yang Liu · Frank Hutter
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Practical Near Neighbor Search via Group Testing
Joshua Engels · Benjamin Coleman · Anshumali Shrivastava
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST) @ Virtual
Detecting Anomalous Event Sequences with Temporal Point Processes
Oleksandr Shchur · Ali Caner Turkmen · Tim Januschowski · Jan Gasthaus · Stephan Günnemann
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
When Are Solutions Connected in Deep Networks?
Quynh Nguyen · Pierre Bréchet · Marco Mondelli
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Sparse Uncertainty Representation in Deep Learning with Inducing Weights
Hippolyt Ritter · Martin Kukla · Cheng Zhang · Yingzhen Li
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Online Active Learning with Surrogate Loss Functions
Giulia DeSalvo · Claudio Gentile · Tobias Sommer Thune
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Hit and Lead Discovery with Explorative RL and Fragment-based Molecule Generation
Soojung Yang · Doyeong Hwang · Seul Lee · Seongok Ryu · Sung Ju Hwang
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Multi-Facet Clustering Variational Autoencoders
Fabian Falck · Haoting Zhang · Matthew Willetts · George Nicholson · Christopher Yau · Chris C Holmes
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Consistency Regularization for Variational Auto-Encoders
Samarth Sinha · Adji Bousso Dieng
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST) @ Virtual
ResT: An Efficient Transformer for Visual Recognition
Qinglong Zhang · Yu-Bin Yang
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Curriculum Design for Teaching via Demonstrations: Theory and Applications
Gaurav Yengera · Rati Devidze · Parameswaran Kamalaruban · Adish Singla
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
No Regrets for Learning the Prior in Bandits
Soumya Basu · Branislav Kveton · Manzil Zaheer · Csaba Szepesvari
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Dirichlet Energy Constrained Learning for Deep Graph Neural Networks
Kaixiong Zhou · Xiao Huang · Daochen Zha · Rui Chen · Li Li · Soo-Hyun Choi · Xia Hu
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Reinforcement Learning in Newcomblike Environments
James Bell · Linda Linsefors · Caspar Oesterheld · Joar Skalse
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST) @ Virtual
Explainable Semantic Space by Grounding Language to Vision with Cross-Modal Contrastive Learning
Yizhen Zhang · Minkyu Choi · Kuan Han · Zhongming Liu
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST) @ Virtual
Intriguing Properties of Vision Transformers
Muhammad Muzammal Naseer · Kanchana Ranasinghe · Salman H Khan · Munawar Hayat · Fahad Shahbaz Khan · Ming-Hsuan Yang
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Near Optimal Policy Optimization via REPS
Aldo Pacchiano · Jonathan N Lee · Peter Bartlett · Ofir Nachum
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
When False Positive is Intolerant: End-to-End Optimization with Low FPR for Multipartite Ranking
Peisong Wen · Qianqian Xu · Zhiyong Yang · Yuan He · Qingming Huang
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Robustness of Graph Neural Networks at Scale
Simon Geisler · Tobias Schmidt · Hakan Şirin · Daniel Zügner · Aleksandar Bojchevski · Stephan Günnemann
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
LSH-SMILE: Locality Sensitive Hashing Accelerated Simulation and Learning
Chonghao Sima · Yexiang Xue
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Regularization in ResNet with Stochastic Depth
Soufiane Hayou · Fadhel Ayed
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Contrastive Learning of Global and Local Video Representations
shuang ma · Zhaoyang Zeng · Daniel McDuff · Yale Song
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST) @ Virtual
CoFrNets: Interpretable Neural Architecture Inspired by Continued Fractions
Isha Puri · Amit Dhurandhar · Tejaswini Pedapati · Karthikeyan Shanmugam · Dennis Wei · Kush Varshney
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Towards Sharper Generalization Bounds for Structured Prediction
Shaojie Li · Yong Liu
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Explaining Latent Representations with a Corpus of Examples
Jonathan Crabbe · Zhaozhi Qian · Fergus Imrie · Mihaela van der Schaar
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Scaling up Continuous-Time Markov Chains Helps Resolve Underspecification
Alkis Gotovos · Rebekka Burkholz · John Quackenbush · Stefanie Jegelka
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Shift Invariance Can Reduce Adversarial Robustness
Vasu Singla · Songwei Ge · Basri Ronen · David Jacobs
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Beyond Value-Function Gaps: Improved Instance-Dependent Regret Bounds for Episodic Reinforcement Learning
Christoph Dann · Teodor Vanislavov Marinov · Mehryar Mohri · Julian Zimmert
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Fuzzy Clustering with Similarity Queries
Wasim Huleihel · Arya Mazumdar · Soumyabrata Pal
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Improving Contrastive Learning on Imbalanced Data via Open-World Sampling
Ziyu Jiang · Tianlong Chen · Ting Chen · Zhangyang Wang
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Efficient Generalization with Distributionally Robust Learning
Soumyadip Ghosh · Mark Squillante · Ebisa Wollega
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Improved Coresets and Sublinear Algorithms for Power Means in Euclidean Spaces
Vincent Cohen-Addad · David Saulpic · Chris Schwiegelshohn
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
A Faster Maximum Cardinality Matching Algorithm with Applications in Machine Learning
Nathaniel Lahn · Sharath Raghvendra · Jiacheng Ye
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Learning with Labeling Induced Abstentions
Kareem Amin · Giulia DeSalvo · Afshin Rostamizadeh
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Coresets for Clustering with Missing Values
Vladimir Braverman · Shaofeng Jiang · Robert Krauthgamer · Xuan Wu
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Three-dimensional spike localization and improved motion correction for Neuropixels recordings
Julien Boussard · Erdem Varol · Hyun Dong Lee · Nishchal Dethe · Liam Paninski
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Algorithmic stability and generalization of an unsupervised feature selection algorithm
xinxing wu · Qiang Cheng
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Joint Semantic Mining for Weakly Supervised RGB-D Salient Object Detection
Jingjing Li · Wei Ji · Qi Bi · Cheng Yan · Miao Zhang · Yongri Piao · Huchuan Lu · Li cheng
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST) @ Virtual
Intriguing Properties of Contrastive Losses
Ting Chen · Calvin Luo · Lala Li
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Zero Time Waste: Recycling Predictions in Early Exit Neural Networks
Maciej Wołczyk · Bartosz Wójcik · Klaudia Bałazy · Igor T Podolak · Jacek Tabor · Marek Śmieja · Tomasz Trzcinski
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Catch-A-Waveform: Learning to Generate Audio from a Single Short Example
Gal Greshler · Tamar Shaham · Tomer Michaeli
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Structured Denoising Diffusion Models in Discrete State-Spaces
Jacob Austin · Daniel D. Johnson · Jonathan Ho · Daniel Tarlow · Rianne van den Berg
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Damped Anderson Mixing for Deep Reinforcement Learning: Acceleration, Convergence, and Stabilization
Ke Sun · Yafei Wang · Yi Liu · yingnan zhao · Bo Pan · Shangling Jui · Bei Jiang · Linglong Kong
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
An Information-theoretic Approach to Distribution Shifts
Marco Federici · Ryota Tomioka · Patrick Forré
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Towards Hyperparameter-free Policy Selection for Offline Reinforcement Learning
Siyuan Zhang · Nan Jiang
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
The Sensory Neuron as a Transformer: Permutation-Invariant Neural Networks for Reinforcement Learning
Yujin Tang · David Ha
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST) @ Virtual
T-LoHo: A Bayesian Regularization Model for Structured Sparsity and Smoothness on Graphs
Changwoo Lee · Zhao Tang Luo · Huiyan Sang
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST) @ Virtual
Robust Implicit Networks via Non-Euclidean Contractions
Saber Jafarpour · Alexander Davydov · Anton Proskurnikov · Francesco Bullo
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Noise2Score: Tweedie’s Approach to Self-Supervised Image Denoising without Clean Images
Kwanyoung Kim · Jong Chul Ye
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Per-Pixel Classification is Not All You Need for Semantic Segmentation
Bowen Cheng · Alex Schwing · Alexander Kirillov
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST) @ Virtual
Learning to Draw: Emergent Communication through Sketching
Daniela Mihai · Jonathon Hare
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Nearly-Tight and Oblivious Algorithms for Explainable Clustering
Buddhima Gamlath · Xinrui Jia · Adam Polak · Ola Svensson
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Can contrastive learning avoid shortcut solutions?
Joshua Robinson · Li Sun · Ke Yu · Kayhan Batmanghelich · Stefanie Jegelka · Suvrit Sra
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Localization, Convexity, and Star Aggregation
Suhas Vijaykumar
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Visual Adversarial Imitation Learning using Variational Models
Rafael Rafailov · Tianhe Yu · Aravind Rajeswaran · Chelsea Finn
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Risk Monotonicity in Statistical Learning
Zakaria Mhammedi
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Exponential Separation between Two Learning Models and Adversarial Robustness
Grzegorz Gluch · Ruediger Urbanke
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
SNIPS: Solving Noisy Inverse Problems Stochastically
Bahjat Kawar · Gregory Vaksman · Michael Elad
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Dynamic Analysis of Higher-Order Coordination in Neuronal Assemblies via De-Sparsified Orthogonal Matching Pursuit
Shoutik Mukherjee · Behtash Babadi
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Multi-view Contrastive Graph Clustering
ErLin Pan · Zhao Kang
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Interactive Label Cleaning with Example-based Explanations
Stefano Teso · Andrea Bontempelli · Fausto Giunchiglia · Andrea Passerini
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Hindsight Task Relabelling: Experience Replay for Sparse Reward Meta-RL
Charles Packer · Pieter Abbeel · Joseph Gonzalez
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Support Recovery of Sparse Signals from a Mixture of Linear Measurements
Soumyabrata Pal · Arya Mazumdar · Venkata Gandikota
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Rethinking the Pruning Criteria for Convolutional Neural Network
Zhongzhan Huang · Wenqi Shao · Xinjiang Wang · Liang Lin · Ping Luo
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
A Compositional Atlas of Tractable Circuit Operations for Probabilistic Inference
Antonio Vergari · YooJung Choi · Anji Liu · Stefano Teso · Guy Van den Broeck
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Influence Patterns for Explaining Information Flow in BERT
Kaiji Lu · Zifan Wang · Piotr Mardziel · Anupam Datta
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
CROCS: Clustering and Retrieval of Cardiac Signals Based on Patient Disease Class, Sex, and Age
Dani Kiyasseh · Tingting Zhu · David Clifton
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Heavy Tails in SGD and Compressibility of Overparametrized Neural Networks
Melih Barsbey · Milad Sefidgaran · Murat Erdogdu · Gaël Richard · Umut Simsekli
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Strategic Behavior is Bliss: Iterative Voting Improves Social Welfare
Joshua Kavner · Lirong Xia
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Fine-Grained Neural Network Explanation by Identifying Input Features with Predictive Information
Yang Zhang · Ashkan Khakzar · Yawei Li · Azade Farshad · Seong Tae Kim · Nassir Navab
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Tracking Without Re-recognition in Humans and Machines
Drew Linsley · Girik Malik · Junkyung Kim · Lakshmi Narasimhan Govindarajan · Ennio Mingolla · Thomas Serre
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Multi-Objective SPIBB: Seldonian Offline Policy Improvement with Safety Constraints in Finite MDPs
harsh satija · Philip Thomas · Joelle Pineau · Romain Laroche
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Infinite Time Horizon Safety of Bayesian Neural Networks
Mathias Lechner · Đorđe Žikelić · Krishnendu Chatterjee · Thomas Henzinger
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST) @ Virtual
Improving Transferability of Representations via Augmentation-Aware Self-Supervision
Hankook Lee · Kibok Lee · Kimin Lee · Honglak Lee · Jinwoo Shin
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST) @ Virtual
SIMILAR: Submodular Information Measures Based Active Learning In Realistic Scenarios
Suraj Kothawade · Nathan Beck · Krishnateja Killamsetty · Rishabh Iyer
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
End-to-end reconstruction meets data-driven regularization for inverse problems
Subhadip Mukherjee · Marcello Carioni · Ozan Öktem · Carola-Bibiane Schönlieb
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Shapley Residuals: Quantifying the limits of the Shapley value for explanations
Indra Kumar · Carlos Scheidegger · Suresh Venkatasubramanian · Sorelle Friedler
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
HNPE: Leveraging Global Parameters for Neural Posterior Estimation
Pedro Rodrigues · Thomas Moreau · Gilles Louppe · Alexandre Gramfort
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
GemNet: Universal Directional Graph Neural Networks for Molecules
Johannes Gasteiger · Florian Becker · Stephan Günnemann
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Towards Lower Bounds on the Depth of ReLU Neural Networks
Christoph Hertrich · Amitabh Basu · Marco Di Summa · Martin Skutella
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
You Never Cluster Alone
Yuming Shen · Ziyi Shen · Menghan Wang · Jie Qin · Philip Torr · Ling Shao
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Better Algorithms for Individually Fair $k$-Clustering
Maryam Negahbani · Deeparnab Chakrabarty
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Learning latent causal graphs via mixture oracles
Bohdan Kivva · Goutham Rajendran · Pradeep Ravikumar · Bryon Aragam
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Explicable Reward Design for Reinforcement Learning Agents
Rati Devidze · Goran Radanovic · Parameswaran Kamalaruban · Adish Singla
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
NTopo: Mesh-free Topology Optimization using Implicit Neural Representations
Jonas Zehnder · Yue Li · Stelian Coros · Bernhard Thomaszewski
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Directional Message Passing on Molecular Graphs via Synthetic Coordinates
Johannes Gasteiger · Chandan Yeshwanth · Stephan Günnemann
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Averaging on the Bures-Wasserstein manifold: dimension-free convergence of gradient descent
Jason Altschuler · Sinho Chewi · Patrik R Gerber · Austin Stromme
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Robust Online Correlation Clustering
Silvio Lattanzi · Benjamin Moseley · Sergei Vassilvitskii · Yuyan Wang · Rudy Zhou
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST) @ Virtual
Smooth Normalizing Flows
Jonas Köhler · Andreas Krämer · Frank Noe
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
ASSANet: An Anisotropic Separable Set Abstraction for Efficient Point Cloud Representation Learning
Guocheng Qian · Hasan Hammoud · Guohao Li · Ali Thabet · Bernard Ghanem
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Accelerating Robotic Reinforcement Learning via Parameterized Action Primitives
Murtaza Dalal · Deepak Pathak · Russ Salakhutdinov
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Large-Scale Unsupervised Object Discovery
Van Huy Vo · Elena Sizikova · Cordelia Schmid · Patrick Pérez · Jean Ponce
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Edge Representation Learning with Hypergraphs
Jaehyeong Jo · Jinheon Baek · Seul Lee · Dongki Kim · Minki Kang · Sung Ju Hwang
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Efficient Online Estimation of Causal Effects by Deciding What to Observe
Shantanu Gupta · Zachary Lipton · David Childers
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Improved Regularization and Robustness for Fine-tuning in Neural Networks
Dongyue Li · Hongyang Zhang
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
How Well do Feature Visualizations Support Causal Understanding of CNN Activations?
Roland S. Zimmermann · Judy Borowski · Robert Geirhos · Matthias Bethge · Thomas Wallis · Wieland Brendel
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
ErrorCompensatedX: error compensation for variance reduced algorithms
Hanlin Tang · Yao Li · Ji Liu · Ming Yan
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST) @ Virtual
Risk-averse Heteroscedastic Bayesian Optimization
Anastasia Makarova · Ilnura Usmanova · Ilija Bogunovic · Andreas Krause
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
M-FAC: Efficient Matrix-Free Approximations of Second-Order Information
Elias Frantar · Eldar Kurtic · Dan Alistarh
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
On Blame Attribution for Accountable Multi-Agent Sequential Decision Making
Stelios Triantafyllou · Adish Singla · Goran Radanovic
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Task-Agnostic Undesirable Feature Deactivation Using Out-of-Distribution Data
Dongmin Park · Hwanjun Song · Minseok Kim · Jae-Gil Lee
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Neural Scene Flow Prior
Xueqian Li · Jhony Kaesemodel Pontes · Simon Lucey
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
SLAPS: Self-Supervision Improves Structure Learning for Graph Neural Networks
Bahare Fatemi · Layla El Asri · Seyed Mehran Kazemi
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Distributionally Robust Imitation Learning
Mohammad Ali Bashiri · Brian Ziebart · Xinhua Zhang
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Adaptive Proximal Gradient Methods for Structured Neural Networks
Jihun Yun · Aurelie Lozano · Eunho Yang
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Bridging the Imitation Gap by Adaptive Insubordination
Luca Weihs · Unnat Jain · Iou-Jen Liu · Jordi Salvador · Svetlana Lazebnik · Aniruddha Kembhavi · Alex Schwing
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST) @ Virtual
Active Learning of Convex Halfspaces on Graphs
Maximilian Thiessen · Thomas Gaertner
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
KALE Flow: A Relaxed KL Gradient Flow for Probabilities with Disjoint Support
Pierre Glaser · Michael Arbel · Arthur Gretton
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Accelerating Quadratic Optimization with Reinforcement Learning
Jeffrey Ichnowski · Paras Jain · Bartolomeo Stellato · Goran Banjac · Michael Luo · Francesco Borrelli · Joseph Gonzalez · Ion Stoica · Ken Goldberg
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Learning to Compose Visual Relations
Nan Liu · Shuang Li · Yilun Du · Josh Tenenbaum · Antonio Torralba
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST) @ Virtual
Combinatorial Optimization for Panoptic Segmentation: A Fully Differentiable Approach
Ahmed Abbas · Paul Swoboda
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
The Value of Information When Deciding What to Learn
Dilip Arumugam · Benjamin Van Roy
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Exploring the Limits of Out-of-Distribution Detection
Stanislav Fort · Jie Ren · Balaji Lakshminarayanan
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
A Comprehensively Tight Analysis of Gradient Descent for PCA
Zhiqiang Xu · Ping Li
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
COHESIV: Contrastive Object and Hand Embedding Segmentation In Video
Dandan Shan · Richard Higgins · David Fouhey
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST) @ Virtual
Learning Graph Models for Retrosynthesis Prediction
Vignesh Ram Somnath · Charlotte Bunne · Connor Coley · Andreas Krause · Regina Barzilay
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Self-Supervised Bug Detection and Repair
Miltiadis Allamanis · Henry Jackson-Flux · Marc Brockschmidt
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
SyMetric: Measuring the Quality of Learnt Hamiltonian Dynamics Inferred from Vision
Irina Higgins · Peter Wirnsberger · Andrew Jaegle · Aleksandar Botev
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST) @ Virtual
Adversarial Feature Desensitization
Pouya Bashivan · Reza Bayat · Adam Ibrahim · Kartik Ahuja · Mojtaba Faramarzi · Touraj Laleh · Blake Richards · Irina Rish
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Play to Grade: Testing Coding Games as Classifying Markov Decision Process
Allen Nie · Emma Brunskill · Chris Piech
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Generating High-Quality Explanations for Navigation in Partially-Revealed Environments
Gregory Stein
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Multi-Agent Reinforcement Learning for Active Voltage Control on Power Distribution Networks
Jianhong Wang · Wangkun Xu · Yunjie Gu · Wenbin Song · Tim C Green
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Optimization-Based Algebraic Multigrid Coarsening Using Reinforcement Learning
Ali Taghibakhshi · Scott MacLachlan · Luke Olson · Matthew West
Poster
Fri Dec 10 08:30 AM -- 10:00 AM (PST)
Does enforcing fairness mitigate biases caused by subpopulation shift?
Subha Maity · Debarghya Mukherjee · Mikhail Yurochkin · Yuekai Sun
Affinity Workshop
Fri Dec 10 11:00 AM -- 03:00 PM (PST)
WiML Workshop 4
Soomin Aga Lee · Meera Desai · Nezihe Merve Gürel · Boyi Li · Linh Tran · Akiko Eriguchi · Jieyu Zhao · Salomey Osei · Sirisha Rambhatla · Geeticka Chauhan · Nwamaka (Amaka) Okafor · Mariya Vasileva
Panel
Fri Dec 10 03:00 PM -- 04:00 PM (PST)
How Should a Machine Learning Researcher Think About AI Ethics?
Amanda Askell · Abeba Birhane · Jesse Dodge · Casey Fiesler · Pascale N Fung · Hanna Wallach
Oral
Fri Dec 10 04:00 PM -- 04:15 PM (PST)
MERLOT: Multimodal Neural Script Knowledge Models
Rowan Zellers · Ximing Lu · Jack Hessel · Youngjae Yu · Jae Sung Park · Jize Cao · Ali Farhadi · Yejin Choi
Oral
Fri Dec 10 04:00 PM -- 04:15 PM (PST)
Evaluating Gradient Inversion Attacks and Defenses in Federated Learning
Yangsibo Huang · Samyak Gupta · Zhao Song · Kai Li · Sanjeev Arora
Oral
Fri Dec 10 04:00 PM -- 04:15 PM (PST)
Moser Flow: Divergence-based Generative Modeling on Manifolds
Noam Rozen · Aditya Grover · Maximilian Nickel · Yaron Lipman
Oral
Fri Dec 10 04:00 PM -- 04:15 PM (PST)
DROID-SLAM: Deep Visual SLAM for Monocular, Stereo, and RGB-D Cameras
Zachary Teed · Jia Deng
Oral
Fri Dec 10 04:00 PM -- 04:15 PM (PST)
Interesting Object, Curious Agent: Learning Task-Agnostic Exploration
Simone Parisi · Victoria Dean · Deepak Pathak · Abhinav Gupta
Q&A
Fri Dec 10 04:15 PM -- 04:20 PM (PST)
Q&A
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Fri Dec 10 04:15 PM -- 04:20 PM (PST)
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Fri Dec 10 04:15 PM -- 04:20 PM (PST)
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Fri Dec 10 04:15 PM -- 04:20 PM (PST)
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Fri Dec 10 04:15 PM -- 04:20 PM (PST)
Q&A
Oral
Fri Dec 10 04:20 PM -- 04:35 PM (PST)
Drop, Swap, and Generate: A Self-Supervised Approach for Generating Neural Activity
Ran Liu · Mehdi Azabou · Max Dabagia · Chi-Heng Lin · Mohammad Gheshlaghi Azar · Keith Hengen · Michal Valko · Eva Dyer
Oral
Fri Dec 10 04:20 PM -- 04:35 PM (PST)
High-probability Bounds for Non-Convex Stochastic Optimization with Heavy Tails
Ashok Cutkosky · Harsh Mehta
Oral
Fri Dec 10 04:20 PM -- 04:35 PM (PST)
Retiring Adult: New Datasets for Fair Machine Learning
Frances Ding · Moritz Hardt · John Miller · Ludwig Schmidt
Oral
Fri Dec 10 04:20 PM -- 04:35 PM (PST)
Replacing Rewards with Examples: Example-Based Policy Search via Recursive Classification
Ben Eysenbach · Sergey Levine · Russ Salakhutdinov
Oral
Fri Dec 10 04:20 PM -- 04:35 PM (PST)
Learning with Noisy Correspondence for Cross-modal Matching
Zhenyu Huang · Guocheng Niu · Xiao Liu · Wenbiao Ding · Xinyan Xiao · Hua Wu · Xi Peng
Q&A
Fri Dec 10 04:35 PM -- 04:40 PM (PST)
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Fri Dec 10 04:35 PM -- 04:40 PM (PST)
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Fri Dec 10 04:35 PM -- 04:40 PM (PST)
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Fri Dec 10 04:35 PM -- 04:40 PM (PST)
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Fri Dec 10 04:35 PM -- 04:40 PM (PST)
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Oral
Fri Dec 10 04:40 PM -- 04:55 PM (PST)
Learning Treatment Effects in Panels with General Intervention Patterns
Vivek Farias · Andrew Li · Tianyi Peng
Oral
Fri Dec 10 04:40 PM -- 04:55 PM (PST)
Adaptive Conformal Inference Under Distribution Shift
Isaac Gibbs · Emmanuel Candes
Oral
Fri Dec 10 04:40 PM -- 04:55 PM (PST)
Sequential Causal Imitation Learning with Unobserved Confounders
Daniel Kumor · Junzhe Zhang · Elias Bareinboim
Q&A
Fri Dec 10 04:55 PM -- 05:00 PM (PST)
Q&A
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Fri Dec 10 04:55 PM -- 05:00 PM (PST)
Q&A
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Fri Dec 10 04:55 PM -- 05:00 PM (PST)
Q&A
Test Of Time
Fri Dec 10 05:00 PM -- 06:00 PM (PST)
Online Learning for Latent Dirichlet Allocation
Matthew Hoffman · Francis Bach · David Blei
Workshop
Mon Dec 13 01:00 AM -- 12:30 PM (PST)
Algorithmic Fairness through the lens of Causality and Robustness
Jessica Schrouff · Awa Dieng · Golnoosh Farnadi · Mark Kwegyir-Aggrey · Miriam Rateike
Workshop
Mon Dec 13 03:00 AM -- 12:30 PM (PST)
5th Workshop on Meta-Learning
Erin Grant · Fábio Ferreira · Frank Hutter · Jonathan Richard Schwarz · Joaquin Vanschoren · Huaxiu Yao
Workshop
Mon Dec 13 03:15 AM -- 02:35 PM (PST)
OPT 2021: Optimization for Machine Learning
Courtney Paquette · Quanquan Gu · Oliver Hinder · Katya Scheinberg · Sebastian Stich · Martin Takac
Workshop
Mon Dec 13 04:00 AM -- 05:15 PM (PST)
ImageNet: Past, Present, and Future
Zeynep Akata · Lucas Beyer · Sanghyuk Chun · A. Sophia Koepke · Diane Larlus · Seong Joon Oh · Rafael Rezende · Sangdoo Yun · Xiaohua Zhai
Workshop
Mon Dec 13 04:00 AM -- 11:10 AM (PST)
The pre-registration workshop: an alternative publication model for machine learning research
Samuel Albanie · João Henriques · Luca Bertinetto · Alex Hernandez-Garcia · Hazel Doughty · Gul Varol
Workshop
Mon Dec 13 04:50 AM -- 02:40 PM (PST)
I (Still) Can't Believe It's Not Better: A workshop for “beautiful” ideas that "should" have worked
Aaron Schein · Melanie F. Pradier · Jessica Forde · Stephanie Hyland · Francisco Ruiz
Workshop
Mon Dec 13 05:00 AM -- 01:55 PM (PST)
AI for Science: Mind the Gaps
Payal Chandak · Yuanqi Du · Tianfan Fu · Wenhao Gao · Kexin Huang · Shengchao Liu · Ziming Liu · Gabriel Spadon · Max Tegmark · Hanchen Wang · Adrian Weller · Max Welling · Marinka Zitnik
Workshop
Mon Dec 13 05:00 AM -- 12:10 PM (PST)
Machine Learning Meets Econometrics (MLECON)
David Bruns-Smith · Arthur Gretton · Limor Gultchin · Niki Kilbertus · Krikamol Muandet · Evan Munro · Angela Zhou
Workshop
Mon Dec 13 05:00 AM -- 01:00 PM (PST)
Optimal Transport and Machine Learning
Jason Altschuler · Charlotte Bunne · Laetitia Chapel · Marco Cuturi · Rémi Flamary · Gabriel Peyré · Alexandra Suvorikova
Workshop
Mon Dec 13 05:00 AM -- 05:00 PM (PST)
Efficient Natural Language and Speech Processing (Models, Training, and Inference)
Mehdi Rezaghoizadeh · Lili Mou · Yue Dong · Pascal Poupart · Ali Ghodsi · Qun Liu
Workshop
Mon Dec 13 05:30 AM -- 04:00 PM (PST)
New Frontiers in Federated Learning: Privacy, Fairness, Robustness, Personalization and Data Ownership
Nghia Hoang · Lam Nguyen · Pin-Yu Chen · Tsui-Wei Weng · Sara Magliacane · Bryan Kian Hsiang Low · Anoop Deoras
Workshop
Mon Dec 13 05:45 AM -- 02:30 PM (PST)
Metacognition in the Age of AI: Challenges and Opportunities
Ingmar Posner · Francesca Rossi · Lior Horesh · Steve Fleming · Oiwi Parker Jones · Rohan Paul · Biplav Srivastava · Andrea Loreggia · Marianna Ganapini
Workshop
Mon Dec 13 05:50 AM -- 02:05 PM (PST)
Databases and AI (DBAI)
Nikolaos Vasiloglou · Parisa Kordjamshidi · Zenna Tavares · Maximilian Schleich · Nantia Makrynioti · Kirk Pruhs
Workshop
Mon Dec 13 05:55 AM -- 02:05 PM (PST)
Meaning in Context: Pragmatic Communication in Humans and Machines
Jennifer Hu · Noga Zaslavsky · Aida Nematzadeh · Michael Franke · Roger Levy · Noah Goodman
Workshop
Mon Dec 13 06:00 AM -- 03:00 PM (PST)
Differentiable Programming Workshop
Ludger Paehler · William Moses · Maria I Gorinova · Assefaw H. Gebremedhin · Jan Hueckelheim · Sri Hari Krishna Narayanan
Workshop
Mon Dec 13 06:00 AM -- 03:30 PM (PST)
Machine Learning and the Physical Sciences
Anima Anandkumar · Kyle Cranmer · Mr. Prabhat · Lenka Zdeborová · Atilim Gunes Baydin · Juan Carrasquilla · Emine Kucukbenli · Gilles Louppe · Benjamin Nachman · Brian Nord · Savannah Thais
Workshop
Mon Dec 13 06:00 AM -- 04:00 PM (PST)
Machine Learning in Structural Biology
Ellen Zhong · Raphael Townshend · Stephan Eismann · Namrata Anand · Roshan Rao · John Ingraham · Wouter Boomsma · Sergey Ovchinnikov · Bonnie Berger
Workshop
Mon Dec 13 06:45 AM -- 03:00 PM (PST)
Shared Visual Representations in Human and Machine Intelligence
Arturo Deza · Joshua Peterson · N Apurva Ratan Murty · Tom Griffiths
Workshop
Mon Dec 13 07:00 AM -- 03:30 PM (PST)
Causal Inference & Machine Learning: Why now?
Elias Bareinboim · Bernhard Schölkopf · Terrence Sejnowski · Yoshua Bengio · Judea Pearl
Workshop
Mon Dec 13 07:00 AM -- 05:00 PM (PST)
Human Centered AI
Michael Muller · Plamen P Angelov · Shion Guha · Marina Kogan · Gina Neff · Nuria Oliver · Manuel Rodriguez · Adrian Weller
Workshop
Mon Dec 13 07:50 AM -- 06:30 PM (PST)
Machine Learning for Autonomous Driving
Xinshuo Weng · Jiachen Li · Nick Rhinehart · Daniel Omeiza · Ali Baheri · Rowan McAllister
Workshop
Mon Dec 13 07:55 AM -- 04:00 PM (PST)
Workshop on Deep Learning and Inverse Problems
Reinhard Heckel · Paul Hand · Rebecca Willett · christopher metzler · Mahdi Soltanolkotabi
Workshop
Mon Dec 13 08:00 AM -- 12:00 AM (PST)
CtrlGen: Controllable Generative Modeling in Language and Vision
Steven Y. Feng · Dor Arad Hudson · Tatsunori Hashimoto · DONGYEOP Kang · Varun Prashant Gangal · Anusha Balakrishnan · Joel Tetreault
Workshop
Mon Dec 13 08:00 AM -- 04:00 PM (PST)
Safe and Robust Control of Uncertain Systems
Ashwin Balakrishna · Brijen Thananjeyan · Daniel Brown · Marek Petrik · Melanie Zeilinger · Sylvia Herbert
Workshop
Mon Dec 13 08:15 AM -- 06:00 PM (PST)
Machine Learning for Creativity and Design
Tom White · Mattie Tesfaldet · Samaneh Azadi · Daphne Ippolito · Lia Coleman · David Ha
Workshop
Mon Dec 13 08:50 AM -- 02:50 PM (PST)
Learning in Presence of Strategic Behavior
Omer Ben-Porat · Nika Haghtalab · Annie Liang · Yishay Mansour · David Parkes
Workshop
Mon Dec 13 08:55 AM -- 06:00 PM (PST)
ML For Systems
Benoit Steiner · Jonathan Raiman · Martin Maas · Azade Nova · Mimee Xu · Anna Goldie
Workshop
Mon Dec 13 08:55 AM -- 06:00 PM (PST)
Deep Reinforcement Learning
Pieter Abbeel · Chelsea Finn · David Silver · Matthew Taylor · Martha White · Srijita Das · Yuqing Du · Andrew Patterson · Manan Tomar · Olivia Watkins
Workshop
Mon Dec 13 09:00 AM -- 05:30 PM (PST)
Third Workshop on AI for Humanitarian Assistance and Disaster Response
Ritwik Gupta · Esther Rolf · Robin Murphy · Eric Heim
Workshop
Mon Dec 13 09:00 AM -- 06:00 PM (PST)
Distribution shifts: connecting methods and applications (DistShift)
Shiori Sagawa · Pang Wei Koh · Fanny Yang · Hongseok Namkoong · Jiashi Feng · Kate Saenko · Percy Liang · Sarah Bird · Sergey Levine
Workshop
Tue Dec 14 01:20 AM -- 02:40 PM (PST)
Privacy in Machine Learning (PriML) 2021
Yu-Xiang Wang · Borja Balle · Giovanni Cherubin · Kamalika Chaudhuri · Antti Honkela · Jonathan Lebensold · Casey Meehan · Mi Jung Park · Adrian Weller · Yuqing Zhu
Workshop
Tue Dec 14 03:00 AM -- 11:00 AM (PST)
Bayesian Deep Learning
Yarin Gal · Yingzhen Li · Sebastian Farquhar · Christos Louizos · Eric Nalisnick · Andrew Gordon Wilson · Zoubin Ghahramani · Kevin Murphy · Max Welling
Workshop
Tue Dec 14 03:45 AM -- 08:59 PM (PST)
The Symbiosis of Deep Learning and Differential Equations
Luca Celotti · Kelly Buchanan · Jorge Ortiz · Patrick Kidger · Stefano Massaroli · Michael Poli · Lily Hu · Ermal Rrapaj · Martin Magill · Thorsteinn Jonsson · Animesh Garg · Murtadha Aldeer
Workshop
Tue Dec 14 03:45 AM -- 03:00 PM (PST)
Advances in Programming Languages and Neurosymbolic Systems (AIPLANS)
Breandan Considine · Disha Shrivastava · David Yu-Tung Hui · Chin-Wei Huang · Shawn Tan · Xujie Si · Prakash Panangaden · Guy Van den Broeck · Daniel Tarlow
Workshop
Tue Dec 14 04:00 AM -- 01:15 PM (PST)
Learning Meaningful Representations of Life (LMRL)
Elizabeth Wood · Adji Bousso Dieng · Aleksandrina Goeva · Anshul Kundaje · Barbara Engelhardt · Chang Liu · David Van Valen · Debora Marks · Edward Boyden · Eli N Weinstein · Lorin Crawford · Mor Nitzan · Romain Lopez · Tamara Broderick · Ray Jones · Wouter Boomsma · Yixin Wang
Workshop
Tue Dec 14 04:00 AM -- 01:45 PM (PST)
Political Economy of Reinforcement Learning Systems (PERLS)
Thomas Gilbert · Stuart J Russell · Tom O Zick · Aaron Snoswell · Michael Dennis
Workshop
Tue Dec 14 04:50 AM -- 02:00 PM (PST)
Medical Imaging meets NeurIPS
DOU QI · Marleen de Bruijne · Ben Glocker · Aasa Feragen · Herve Lombaert · Ipek Oguz · Jonas Teuwen · Islem Rekik · Darko Stern · Xiaoxiao Li
Workshop
Tue Dec 14 04:55 AM -- 04:30 PM (PST)
Your Model is Wrong: Robustness and misspecification in probabilistic modeling
Diana Cai · Sameer Deshpande · Michael Hughes · Tamara Broderick · Trevor Campbell · Nick Foti · Barbara Engelhardt · Sinead Williamson
Workshop
Tue Dec 14 05:00 AM -- 02:30 PM (PST)
eXplainable AI approaches for debugging and diagnosis
Roberto Capobianco · Biagio La Rosa · Leilani Gilpin · Wen Sun · Alice Xiang · Alexander Feldman
Workshop
Tue Dec 14 05:00 AM -- 02:20 PM (PST)
Ecological Theory of Reinforcement Learning: How Does Task Design Influence Agent Learning?
Manfred Díaz · Hiroki Furuta · Elise van der Pol · Lisa Lee · Shixiang (Shane) Gu · Pablo Samuel Castro · Simon Du · Marc Bellemare · Sergey Levine
Workshop
Tue Dec 14 05:20 AM -- 02:15 PM (PST)
Cooperative AI
Natasha Jaques · Edward Hughes · Jakob Foerster · Noam Brown · Kalesha Bullard · Charlotte Smith
Workshop
Tue Dec 14 05:30 AM -- 02:30 PM (PST)
Bridging the Gap: from Machine Learning Research to Clinical Practice
Julia Vogt · Ece Ozkan · Sonali Parbhoo · Melanie F. Pradier · Patrick Schwab · Shengpu Tang · Mario Wieser · Jiayu Yao
Workshop
Tue Dec 14 05:45 AM -- 01:30 PM (PST)
AI for Credible Elections: A Call to Action
Biplav Srivastava · Anita Nikolich · Huan Liu · Natwar Modani · Tarmo Koppel
Workshop
Tue Dec 14 05:55 AM -- 12:40 PM (PST)
Machine Learning in Public Health
Rumi Chunara · Daniel Lizotte · Laura Rosella · Esra Suel · Marie Charpignon
Workshop
Tue Dec 14 06:00 AM -- 03:00 PM (PST)
Deep Generative Models and Downstream Applications
José Miguel Hernández-Lobato · Yingzhen Li · Yichuan Zhang · Cheng Zhang · Austin Tripp · Weiwei Pan · Oren Rippel
Workshop
Tue Dec 14 06:00 AM -- 02:35 PM (PST)
Second Workshop on Quantum Tensor Networks in Machine Learning
Xiao-Yang Liu · Qibin Zhao · Ivan Oseledets · Yufei Ding · Guillaume Rabusseau · Jean Kossaifi · Khadijeh Najafi · Anwar Walid · Andrzej Cichocki · Masashi Sugiyama
Workshop
Tue Dec 14 06:00 AM -- 01:40 PM (PST)
Machine Learning for the Developing World (ML4D): Global Challenges
Paula Rodriguez Diaz · Konstantin Klemmer · Sally Simone Fobi · Oluwafemi Azeez · Niveditha Kalavakonda · Aya Salama · Tejumade Afonja
Workshop
Tue Dec 14 06:00 AM -- 12:20 PM (PST)
Out-of-distribution generalization and adaptation in natural and artificial intelligence
Joshua T Vogelstein · Weiwei Yang · Soledad Villar · Zenna Tavares · Johnathan Flowers · Onyema Osuagwu · Weishung Liu
Workshop
Tue Dec 14 06:05 AM -- 03:20 PM (PST)
Workshop on Human and Machine Decisions
Daniel Reichman · Joshua Peterson · Kiran Tomlinson · Annie Liang · Tom Griffiths
Workshop
Tue Dec 14 06:15 AM -- 05:00 PM (PST)
Tackling Climate Change with Machine Learning
Maria João Sousa · Hari Prasanna Das · Sally Simone Fobi · Jan Drgona · Tegan Maharaj · Yoshua Bengio
Workshop
Tue Dec 14 07:00 AM -- 07:00 PM (PST)
4th Robot Learning Workshop: Self-Supervised and Lifelong Learning
Alex Bewley · Masha Itkina · Hamidreza Kasaei · Jens Kober · Nathan Lambert · Julien PEREZ · Ransalu Senanayake · Vincent Vanhoucke · Markus Wulfmeier · Igor Gilitschenski
Workshop
Tue Dec 14 07:00 AM -- 03:35 PM (PST)
2nd Workshop on Self-Supervised Learning: Theory and Practice
Pengtao Xie · Ishan Misra · Pulkit Agrawal · Abdelrahman Mohamed · Shentong Mo · Youwei Liang · Jeannette Bohg · Kristina N Toutanova
Workshop
Tue Dec 14 07:00 AM -- 02:30 PM (PST)
Learning and Decision-Making with Strategic Feedback (StratML)
Yahav Bechavod · Hoda Heidari · Eric Mazumdar · Celestine Mendler-Dünner · Tijana Zrnic
Workshop
Tue Dec 14 07:00 AM -- 03:00 PM (PST)
Deployable Decision Making in Embodied Systems (DDM)
Angela Schoellig · Animesh Garg · Somil Bansal · SiQi Zhou · Melissa Greeff · Lukas Brunke
Workshop
Tue Dec 14 07:00 AM -- 02:10 PM (PST)
Machine learning from ground truth: New medical imaging datasets for unsolved medical problems.
Katy Haynes · Ziad Obermeyer · Emma Pierson · Marzyeh Ghassemi · Matthew Lungren · Sendhil Mullainathan · Matthew McDermott
Workshop
Tue Dec 14 08:00 AM -- 04:00 PM (PST)
Physical Reasoning and Inductive Biases for the Real World
Krishna Murthy Jatavallabhula · Rika Antonova · Kevin Smith · Hsiao-Yu Tung · Florian Shkurti · Jeannette Bohg · Josh Tenenbaum
Workshop
Tue Dec 14 08:30 AM -- 06:00 PM (PST)
Data Centric AI
Andrew Ng · Lora Aroyo · Greg Diamos · Cody Coleman · Vijay Janapa Reddi · Joaquin Vanschoren · Carole-Jean Wu · Sharon Zhou · Lynn He
Workshop
Tue Dec 14 08:55 AM -- 06:05 PM (PST)
Math AI for Education (MATHAI4ED): Bridging the Gap Between Research and Smart Education
Pan Lu · Yuhuai Wu · Sean Welleck · Xiaodan Liang · Eric Xing · James McClelland
Workshop
Tue Dec 14 09:00 AM -- 06:20 PM (PST)
Offline Reinforcement Learning
Rishabh Agarwal · Aviral Kumar · George Tucker · Justin Fu · Nan Jiang · Doina Precup · Aviral Kumar
Workshop
Tue Dec 14 10:50 AM -- 07:30 PM (PST)
Causal Inference Challenges in Sequential Decision Making: Bridging Theory and Practice
Aurelien Bibaut · Maria Dimakopoulou · Nathan Kallus · Xinkun Nie · Masatoshi Uehara · Kelly Zhang