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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)
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)
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)
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)
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)
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)
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) @ 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)
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)
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)
Training Over-parameterized Models with Non-decomposable Objectives
Harikrishna Narasimhan · Aditya Menon
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)
Bayesian Bellman Operators
Mattie Fellows · Kristian Hartikainen · Shimon Whiteson
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)
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)
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)
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)
SLOE: A Faster Method for Statistical Inference in High-Dimensional Logistic Regression
Steve Yadlowsky · Taedong Yun · Cory Y McLean · Alexander D'Amour
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)
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)
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)
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)
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)
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)
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)
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)
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)
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)
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)
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)
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)
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) @ 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)
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)
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)
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)
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)
Post-processing for Individual Fairness
Felix Petersen · Debarghya Mukherjee · Yuekai Sun · Mikhail Yurochkin
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)
Locally private online change point detection
Tom Berrett · Yi Yu
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)
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)
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)
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)
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)
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)
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)
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)
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)
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)
Locally differentially private estimation of functionals of discrete distributions
Cristina Butucea · Yann ISSARTEL
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)
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)
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)
The Skellam Mechanism for Differentially Private Federated Learning
Naman Agarwal · Peter Kairouz · Ziyu Liu
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)
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) @ 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)
Differentially Private n-gram Extraction
Kunho Kim · Sivakanth Gopi · Janardhan Kulkarni · Sergey Yekhanin
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)
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)
Improving Conditional Coverage via Orthogonal Quantile Regression
Shai Feldman · Stephen Bates · Yaniv Romano
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) @ 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)
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)
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)
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) @ Virtual
Group Equivariant Subsampling
Jin Xu · Hyunjik Kim · Thomas Rainforth · Yee Teh
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
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)
Boosting with Multiple Sources
Corinna Cortes · Mehryar Mohri · Dmitry Storcheus · Ananda Theertha Suresh
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)
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)
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)
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)
Multiclass versus Binary Differentially Private PAC Learning
Satchit Sivakumar · Mark Bun · Marco Gaboardi
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
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)
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) @ 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)
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)
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)
Optimal Rates for Random Order Online Optimization
Uri Sherman · Tomer Koren · Yishay Mansour
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)
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)
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)
Towards Context-Agnostic Learning Using Synthetic Data
Charles Jin · Martin Rinard
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) @ 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)
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) @ 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)
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)
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)
Representation Learning for Event-based Visuomotor Policies
Sai Vemprala · Sami Mian · Ashish Kapoor
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)
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)
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)
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)
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)
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)
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)
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)
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)
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)
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)
Towards Tight Communication Lower Bounds for Distributed Optimisation
Janne H. Korhonen · Dan Alistarh
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 · Yu Wang · Siddhartha Sen · Jon Kleinberg · Ashton Anderson
[ Slides
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)
Privately Learning Subspaces
Vikrant Singhal · Thomas Steinke
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)
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)
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)
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)
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)
Distributed Machine Learning with Sparse Heterogeneous Data
Dominic Richards · Sahand Negahban · Patrick Rebeschini
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)
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) @ 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)
Differentially Private Sampling from Distributions
Sofya Raskhodnikova · Satchit Sivakumar · Adam Smith · Marika Swanberg
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
Storchastic: A Framework for General Stochastic Automatic Differentiation
Emile Krieken · Jakub Tomczak · Annette Ten Teije
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 · Panganamala Kumar · Chao Tian
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)
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)
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)
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)
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) @ 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
Widening the Pipeline in Human-Guided Reinforcement Learning with Explanation and Context-Aware Data Augmentation
Lin Guan · Mudit Verma · Suna (Sihang) Guo · Ruohan Zhang · Subbarao Kambhampati
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)
Towards optimally abstaining from prediction with OOD test examples
Adam Kalai · Varun Kanade
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)
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) @ 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)
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
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)
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)
Neural Tangent Kernel Maximum Mean Discrepancy
Xiuyuan Cheng · Yao Xie
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
Conformal Bayesian Computation
Edwin Fong · Chris C Holmes
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)
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)
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) @ 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)
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)
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)
Risk-Averse Bayes-Adaptive Reinforcement Learning
Marc Rigter · Bruno Lacerda · Nick Hawes
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)
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)
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)
Best-case lower bounds in online learning
Cristóbal Guzmán · Nishant Mehta · Ali Mortazavi
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) @ Virtual
Roto-translated Local Coordinate Frames For Interacting Dynamical Systems
Miltiadis Kofinas · Naveen Nagaraja · Efstratios Gavves
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)
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)
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)
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)
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)
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)
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)
Implicit Generative Copulas
Tim Janke · Mohamed Ghanmi · Florian Steinke
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)
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)
Adversarial Neuron Pruning Purifies Backdoored Deep Models
Dongxian Wu · Yisen Wang
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)
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)
Individual Privacy Accounting via a Rényi Filter
Vitaly Feldman · Tijana Zrnic
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)
Multi-Scale Representation Learning on Proteins
Vignesh Ram Somnath · Charlotte Bunne · Andreas Krause
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)
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)
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)
Exploiting Opponents Under Utility Constraints in Sequential Games
Martino Bernasconi-de-Luca · Federico Cacciamani · Simone Fioravanti · Nicola Gatti · Alberto Marchesi · Francesco Trovò
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)
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)
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)
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)
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) @ 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)
Stochastic $L^\natural$-convex Function Minimization
Haixiang Zhang · Zeyu Zheng · Javad Lavaei
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)
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)
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)
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)
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)
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)
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)
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)
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)
Logarithmic Regret from Sublinear Hints
Aditya Bhaskara · Ashok Cutkosky · Ravi Kumar · Manish Purohit
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)
Test-time Collective Prediction
Celestine Mendler-Dünner · Wenshuo Guo · Stephen Bates · Michael Jordan
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) @ 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) @ 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)
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)
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)
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
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)
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)
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) @ 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)
Assessing Fairness in the Presence of Missing Data
Yiliang Zhang · Qi Long
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)
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)
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)
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)
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)
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)
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)
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)
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) @ Virtual
Recurrent Bayesian Classifier Chains for Exact Multi-Label Classification
Walter Gerych · Tom Hartvigsen · Luke Buquicchio · Emmanuel Agu · Elke A. Rundensteiner
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)
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)
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)
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)
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)
A Gang of Adversarial Bandits
Mark Herbster · Stephen Pasteris · Fabio Vitale · Massimiliano Pontil
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)
Parameter Inference with Bifurcation Diagrams
Gregory Szep · Neil Dalchau · Attila Csikász-Nagy
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)
$(\textrm{Implicit})^2$: Implicit Layers for Implicit Representations
Zhichun Huang · Shaojie Bai · J. Zico Kolter
Poster
Thu Dec 09 08:30 AM -- 10:00 AM (PST)
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) @ 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)
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)
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)
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)
Reliable Decisions with Threshold Calibration
Roshni Sahoo · Shengjia Zhao · Alyssa Chen · Stefano Ermon
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)
(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)
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)
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)
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)
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) @ 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)
Littlestone Classes are Privately Online Learnable
Noah Golowich · Roi Livni
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)
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)
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)
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)
Fast and Memory Efficient Differentially Private-SGD via JL Projections
Zhiqi Bu · Sivakanth Gopi · Janardhan Kulkarni · Yin Tat Lee · Hanwen Shen · Uthaipon Tantipongpipat
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) @ 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)
Data driven semi-supervised learning
Maria-Florina Balcan · Dravyansh Sharma
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)
Periodic Activation Functions Induce Stationarity
Lassi Meronen · Martin Trapp · Arno Solin
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)
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)
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)
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)
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)
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)
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)
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)
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)
Privately Publishable Per-instance Privacy
Rachel Redberg · Yu-Xiang Wang
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)
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)
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)
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)
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
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)
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)
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)
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)
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)
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)
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)
Double/Debiased Machine Learning for Dynamic Treatment Effects
Greg Lewis · Vasilis Syrgkanis
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)
Provable Representation Learning for Imitation with Contrastive Fourier Features
Ofir Nachum · Mengjiao Yang
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) @ Virtual
Directed Probabilistic Watershed
Enrique Fita Sanmartin · Sebastian Damrich · Fred Hamprecht
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)
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)
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)
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)
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)
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)
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)
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)
Surrogate Regret Bounds for Polyhedral Losses
Rafael Frongillo · Bo Waggoner
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)
General Nonlinearities in SO(2)-Equivariant CNNs
Daniel Franzen · Michael Wand
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)
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)
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) @ 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)
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)
Dynamic influence maximization
Binghui Peng
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)
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)
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)
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
Probabilistic Attention for Interactive Segmentation
Prasad Gabbur · Manjot Bilkhu · Javier Movellan
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)
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)
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)
An online passive-aggressive algorithm for difference-of-squares classification
Lawrence Saul
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)
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)
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) @ 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)
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)
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) @ 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) @ 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)
Inverse Problems Leveraging Pre-trained Contrastive Representations
Sriram Ravula · Georgios Smyrnis · Matt Jordan · Alexandros Dimakis
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)
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)
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)
Representation Learning Beyond Linear Prediction Functions
Ziping Xu · Ambuj Tewari
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)
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)
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)
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)
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)
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)
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)
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)
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)
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)
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)
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)
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) @ Virtual
Fair Classification with Adversarial Perturbations
L. Elisa Celis · Anay Mehrotra · Nisheeth Vishnoi
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)
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)
Neural Bootstrapper
Minsuk Shin · Hyungjoo Cho · Hyun-seok Min · Sungbin Lim
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)
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)
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) @ 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)
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) @ Virtual
End-to-End Weak Supervision
Salva Rühling Cachay · Benedikt Boecking · Artur Dubrawski
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)
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
Scalable Inference of Sparsely-changing Gaussian Markov Random Fields
Salar Fattahi · Andres Gomez
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)
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)
Fair Scheduling for Time-dependent Resources
Bo Li · Minming Li · Ruilong Zhang
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)
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) @ 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)
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)
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)
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)
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)
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) @ 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)
Unsupervised Speech Recognition
Alexei Baevski · Wei-Ning Hsu · Alexis CONNEAU · Michael Auli
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)
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) @ 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)
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