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Curvature Regularization to Prevent Distortion in Graph Embedding
Hongbin Pei · Bingzhe Wei · Kevin Chang · Chunxu Zhang · Bo Yang
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Mon Dec 07 07:00 PM -- 07:10 PM (PST) @ Orals & Spotlights: Representation/Relational
On the Equivalence between Online and Private Learnability beyond Binary Classification
In Orals & Spotlights Track 01: Representation/Relational
Young H Jung · Baekjin Kim · Ambuj Tewari
Spotlight
Mon Dec 07 07:00 PM -- 07:10 PM (PST) @ Orals & Spotlights: COVID/Health/Bio Applications
Simulating a Primary Visual Cortex at the Front of CNNs Improves Robustness to Image Perturbations
In Orals & Spotlights Track 02: COVID/Health/Bio Applications
Joel Dapello · Tiago Marques · Martin Schrimpf · Franziska Geiger · David Cox · James J DiCarlo
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Mon Dec 07 07:00 PM -- 07:10 PM (PST) @ Orals & Spotlights: Language/Audio Applications
Unsupervised Sound Separation Using Mixture Invariant Training
In Orals & Spotlights Track 03: Language/Audio Applications
Scott Wisdom · Efthymios Tzinis · Hakan Erdogan · Ron Weiss · Kevin Wilson · John R. Hershey
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Mon Dec 07 07:00 PM -- 07:10 PM (PST) @ Orals & Spotlights: Reinforcement Learning
First Order Constrained Optimization in Policy Space
In Orals & Spotlights Track 04: Reinforcement Learning
Yiming Zhang · Quan Vuong · Keith Ross
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Mon Dec 07 07:10 PM -- 07:20 PM (PST) @ Orals & Spotlights: Representation/Relational
Variational Inference for Graph Convolutional Networks in the Absence of Graph Data and Adversarial Settings
In Orals & Spotlights Track 01: Representation/Relational
Pantelis Elinas · Edwin Bonilla · Louis Tiao
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Mon Dec 07 07:10 PM -- 07:20 PM (PST) @ Orals & Spotlights: COVID/Health/Bio Applications
Using noise to probe recurrent neural network structure and prune synapses
In Orals & Spotlights Track 02: COVID/Health/Bio Applications
Eli Moore · Rishidev Chaudhuri
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Mon Dec 07 07:10 PM -- 07:20 PM (PST) @ Orals & Spotlights: Language/Audio Applications
Investigating Gender Bias in Language Models Using Causal Mediation Analysis
In Orals & Spotlights Track 03: Language/Audio Applications
Jesse Vig · Sebastian Gehrmann · Yonatan Belinkov · Sharon Qian · Daniel Nevo · Yaron Singer · Stuart Shieber
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Mon Dec 07 07:10 PM -- 07:20 PM (PST) @ Orals & Spotlights: Reinforcement Learning
CoinDICE: Off-Policy Confidence Interval Estimation
In Orals & Spotlights Track 04: Reinforcement Learning
Bo Dai · Ofir Nachum · Yinlam Chow · Lihong Li · Csaba Szepesvari · Dale Schuurmans
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Mon Dec 07 07:20 PM -- 07:30 PM (PST) @ Orals & Spotlights: Representation/Relational
Joint Contrastive Learning with Infinite Possibilities
In Orals & Spotlights Track 01: Representation/Relational
Qi Cai · Yu Wang · Yingwei Pan · Ting Yao · Tao Mei
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Mon Dec 07 07:20 PM -- 07:30 PM (PST) @ Orals & Spotlights: COVID/Health/Bio Applications
Interpretable Sequence Learning for Covid-19 Forecasting
In Orals & Spotlights Track 02: COVID/Health/Bio Applications
Sercan Arik · Chun-Liang Li · Jinsung Yoon · Rajarishi Sinha · Arkady Epshteyn · Long Le · Vikas Menon · Shashank Singh · Leyou Zhang · Martin Nikoltchev · Yash Sonthalia · Hootan Nakhost · Elli Kanal · Tomas Pfister
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Mon Dec 07 07:20 PM -- 07:30 PM (PST) @ Orals & Spotlights: Language/Audio Applications
A Simple Language Model for Task-Oriented Dialogue
In Orals & Spotlights Track 03: Language/Audio Applications
Ehsan Hosseini-Asl · Bryan McCann · Bryan McCann · Chien-Sheng Wu · Semih Yavuz · Richard Socher
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Mon Dec 07 07:20 PM -- 07:30 PM (PST) @ Orals & Spotlights: Reinforcement Learning
DisCor: Corrective Feedback in Reinforcement Learning via Distribution Correction
In Orals & Spotlights Track 04: Reinforcement Learning
Aviral Kumar · Abhishek Gupta · Sergey Levine
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Mon Dec 07 07:30 PM -- 07:40 PM (PST) @ Orals & Spotlights: Representation/Relational
Neural Methods for Point-wise Dependency Estimation
In Orals & Spotlights Track 01: Representation/Relational
Yao-Hung Hubert Tsai · Han Zhao · Han Zhao · Makoto Yamada · Louis-Philippe Morency · Russ Salakhutdinov
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Mon Dec 07 07:30 PM -- 07:40 PM (PST) @ Orals & Spotlights: COVID/Health/Bio Applications
Kalman Filtering Attention for User Behavior Modeling in CTR Prediction
In Orals & Spotlights Track 02: COVID/Health/Bio Applications
Hu Liu · Jing LU · Xiwei Zhao · Sulong Xu · Hao Peng · Yutong Liu · Zehua Zhang · Jian Li · Junsheng Jin · Yongjun Bao · Weipeng Yan
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Mon Dec 07 07:30 PM -- 07:40 PM (PST) @ Orals & Spotlights: Language/Audio Applications
ConvBERT: Improving BERT with Span-based Dynamic Convolution
In Orals & Spotlights Track 03: Language/Audio Applications
Zi-Hang Jiang · Weihao Yu · Daquan Zhou · Yunpeng Chen · Jiashi Feng · Shuicheng Yan
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Mon Dec 07 07:30 PM -- 07:40 PM (PST) @ Orals & Spotlights: Reinforcement Learning
Risk-Sensitive Reinforcement Learning: Near-Optimal Risk-Sample Tradeoff in Regret
In Orals & Spotlights Track 04: Reinforcement Learning
Yingjie Fei · Zhuoran Yang · Yudong Chen · Zhaoran Wang · Qiaomin Xie
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Mon Dec 07 07:50 PM -- 08:00 PM (PST) @ Orals & Spotlights: Representation/Relational
Design Space for Graph Neural Networks
In Orals & Spotlights Track 01: Representation/Relational
Jiaxuan You · Jiaxuan You · Zhitao Ying · Jure Leskovec
Spotlight
Mon Dec 07 07:50 PM -- 08:00 PM (PST) @ Orals & Spotlights: COVID/Health/Bio Applications
Demixed shared component analysis of neural population data from multiple brain areas
In Orals & Spotlights Track 02: COVID/Health/Bio Applications
Yu Takagi · Steven Kennerley · Jun-ichiro Hirayama · Laurence Hunt
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Mon Dec 07 07:50 PM -- 08:00 PM (PST) @ Orals & Spotlights: Language/Audio Applications
Cross-lingual Retrieval for Iterative Self-Supervised Training
In Orals & Spotlights Track 03: Language/Audio Applications
Chau Tran · Yuqing Tang · Xian Li · Jiatao Gu
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Mon Dec 07 07:50 PM -- 08:00 PM (PST) @ Orals & Spotlights: Reinforcement Learning
Provably Efficient Exploration for Reinforcement Learning Using Unsupervised Learning
In Orals & Spotlights Track 04: Reinforcement Learning
Fei Feng · Ruosong Wang · Wotao Yin · Simon Du · Lin Yang
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Mon Dec 07 08:00 PM -- 08:10 PM (PST) @ Orals & Spotlights: Representation/Relational
Debiased Contrastive Learning
In Orals & Spotlights Track 01: Representation/Relational
Ching-Yao Chuang · Joshua Robinson · Yen-Chen Lin · Antonio Torralba · Stefanie Jegelka
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Mon Dec 07 08:00 PM -- 08:10 PM (PST) @ Orals & Spotlights: COVID/Health/Bio Applications
Minimax Optimal Nonparametric Estimation of Heterogeneous Treatment Effects
In Orals & Spotlights Track 02: COVID/Health/Bio Applications
Zijun Gao · Yanjun Han
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Mon Dec 07 08:00 PM -- 08:10 PM (PST) @ Orals & Spotlights: Language/Audio Applications
DynaBERT: Dynamic BERT with Adaptive Width and Depth
In Orals & Spotlights Track 03: Language/Audio Applications
Lu Hou · Zhiqi Huang · Lifeng Shang · Xin Jiang · Xiao Chen · Qun Liu
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Mon Dec 07 08:00 PM -- 08:10 PM (PST) @ Orals & Spotlights: Reinforcement Learning
Bayesian Multi-type Mean Field Multi-agent Imitation Learning
In Orals & Spotlights Track 04: Reinforcement Learning
Fan Yang · Alina Vereshchaka · Changyou Chen · Wen Dong
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Mon Dec 07 08:10 PM -- 08:20 PM (PST) @ Orals & Spotlights: Representation/Relational
The Autoencoding Variational Autoencoder
In Orals & Spotlights Track 01: Representation/Relational
Taylan Cemgil · Sumedh Ghaisas · Krishnamurthy Dvijotham · Sven Gowal · Pushmeet Kohli
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Mon Dec 07 08:10 PM -- 08:20 PM (PST) @ Orals & Spotlights: COVID/Health/Bio Applications
The Devil is in the Detail: A Framework for Macroscopic Prediction via Microscopic Models
In Orals & Spotlights Track 02: COVID/Health/Bio Applications
Yingxiang Yang · Negar Kiyavash · Le Song · Niao He · Niao He
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Mon Dec 07 08:10 PM -- 08:20 PM (PST) @ Orals & Spotlights: Language/Audio Applications
Incorporating Pragmatic Reasoning Communication into Emergent Language
In Orals & Spotlights Track 03: Language/Audio Applications
Yipeng Kang · Tonghan Wang · Gerard de Melo
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Mon Dec 07 08:10 PM -- 08:20 PM (PST) @ Orals & Spotlights: Reinforcement Learning
Model-Based Multi-Agent RL in Zero-Sum Markov Games with Near-Optimal Sample Complexity
In Orals & Spotlights Track 04: Reinforcement Learning
Kaiqing Zhang · Sham Kakade · Tamer Basar · Lin Yang
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Mon Dec 07 08:20 PM -- 08:30 PM (PST) @ Orals & Spotlights: Representation/Relational
Unsupervised Representation Learning by Invariance Propagation
In Orals & Spotlights Track 01: Representation/Relational
Feng Wang · Huaping Liu · Di Guo · Sun Fuchun
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Mon Dec 07 08:20 PM -- 08:30 PM (PST) @ Orals & Spotlights: Language/Audio Applications
De-Anonymizing Text by Fingerprinting Language Generation
In Orals & Spotlights Track 03: Language/Audio Applications
Zhen Sun · Roei Schuster · Vitaly Shmatikov
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Mon Dec 07 08:20 PM -- 08:30 PM (PST) @ Orals & Spotlights: Reinforcement Learning
Safe Reinforcement Learning via Curriculum Induction
In Orals & Spotlights Track 04: Reinforcement Learning
Matteo Turchetta · Andrey Kolobov · Shital Shah · Andreas Krause · Alekh Agarwal
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Tue Dec 08 07:00 AM -- 07:10 AM (PST) @ Orals & Spotlights: Clustering/Ranking
Simple and Scalable Sparse k-means Clustering via Feature Ranking
In Orals & Spotlights Track 05: Clustering/Ranking
Zhiyue Zhang · Kenneth Lange · Jason Xu
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Tue Dec 08 07:00 AM -- 07:10 AM (PST) @ Orals & Spotlights: Dynamical Sys/Density/Sparsity
Robust Density Estimation under Besov IPM Losses
In Orals & Spotlights Track 06: Dynamical Sys/Density/Sparsity
Ananya Uppal · Shashank Singh · Barnabas Poczos
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Tue Dec 08 07:00 AM -- 07:10 AM (PST) @ Orals & Spotlights: Vision Applications
DISK: Learning local features with policy gradient
In Orals & Spotlights Track 07: Vision Applications
Michał Tyszkiewicz · Pascal Fua · Eduard Trulls
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Tue Dec 08 07:00 AM -- 07:10 AM (PST) @ Orals & Spotlights: Deep Learning
MeshSDF: Differentiable Iso-Surface Extraction
In Orals & Spotlights Track 08: Deep Learning
Edoardo Remelli · Artem Lukoianov · Stephan Richter · Benoit Guillard · Timur Bagautdinov · Pierre Baque · Pascal Fua
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Tue Dec 08 07:00 AM -- 07:10 AM (PST) @ Orals & Spotlights: Reinforcement Learning
Interferobot: aligning an optical interferometer by a reinforcement learning agent
In Orals & Spotlights Track 09: Reinforcement Learning
Dmitry Sorokin · Alexander Ulanov · Ekaterina Sazhina · Alexander Lvovsky
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Tue Dec 08 07:00 AM -- 07:10 AM (PST) @ Orals & Spotlights: Social/Privacy
Multi-Robot Collision Avoidance under Uncertainty with Probabilistic Safety Barrier Certificates
In Orals & Spotlights Track 10: Social/Privacy
Wenhao Luo · Wen Sun · Ashish Kapoor
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Tue Dec 08 07:00 AM -- 07:10 AM (PST) @ Orals & Spotlights: Learning Theory
The Adaptive Complexity of Maximizing a Gross Substitutes Valuation
In Orals & Spotlights Track 11: Learning Theory
Ron Kupfer · Sharon Qian · Eric Balkanski · Yaron Singer
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Tue Dec 08 07:10 AM -- 07:20 AM (PST) @ Orals & Spotlights: Clustering/Ranking
Simultaneous Preference and Metric Learning from Paired Comparisons
In Orals & Spotlights Track 05: Clustering/Ranking
Austin Xu · Mark Davenport
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Tue Dec 08 07:10 AM -- 07:20 AM (PST) @ Orals & Spotlights: Dynamical Sys/Density/Sparsity
Almost Surely Stable Deep Dynamics
In Orals & Spotlights Track 06: Dynamical Sys/Density/Sparsity
Nathan Lawrence · Philip Loewen · Michael Forbes · Johan Backstrom · Bhushan Gopaluni
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Tue Dec 08 07:10 AM -- 07:20 AM (PST) @ Orals & Spotlights: Vision Applications
Wasserstein Distances for Stereo Disparity Estimation
In Orals & Spotlights Track 07: Vision Applications
Divyansh Garg · Yan Wang · Bharath Hariharan · Mark Campbell · Kilian Weinberger · Wei-Lun Chao
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Tue Dec 08 07:10 AM -- 07:20 AM (PST) @ Orals & Spotlights: Deep Learning
GAIT-prop: A biologically plausible learning rule derived from backpropagation of error
In Orals & Spotlights Track 08: Deep Learning
Nasir Ahmad · Marcel A. J. van Gerven · Luca Ambrogioni
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Tue Dec 08 07:10 AM -- 07:20 AM (PST) @ Orals & Spotlights: Reinforcement Learning
On Efficiency in Hierarchical Reinforcement Learning
In Orals & Spotlights Track 09: Reinforcement Learning
Zheng Wen · Doina Precup · Morteza Ibrahimi · Andre Barreto · Benjamin Van Roy · Satinder Singh
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Tue Dec 08 07:10 AM -- 07:20 AM (PST) @ Orals & Spotlights: Social/Privacy
Private Identity Testing for High-Dimensional Distributions
In Orals & Spotlights Track 10: Social/Privacy
Clément L Canonne · Gautam Kamath · Audra McMillan · Jonathan Ullman · Lydia Zakynthinou
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Tue Dec 08 07:10 AM -- 07:20 AM (PST) @ Orals & Spotlights: Learning Theory
Hitting the High Notes: Subset Selection for Maximizing Expected Order Statistics
In Orals & Spotlights Track 11: Learning Theory
Aranyak Mehta · Uri Nadav · Alexandros Psomas · Aviad Rubinstein
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Tue Dec 08 07:20 AM -- 07:30 AM (PST) @ Orals & Spotlights: Clustering/Ranking
Learning Optimal Representations with the Decodable Information Bottleneck
In Orals & Spotlights Track 05: Clustering/Ranking
Yann Dubois · Douwe Kiela · David Schwab · Ramakrishna Vedantam
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Tue Dec 08 07:20 AM -- 07:30 AM (PST) @ Orals & Spotlights: Dynamical Sys/Density/Sparsity
Hausdorff Dimension, Heavy Tails, and Generalization in Neural Networks
In Orals & Spotlights Track 06: Dynamical Sys/Density/Sparsity
Umut Simsekli · Umut Simsekli · Ozan Sener · George Deligiannidis · Murat Erdogdu
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Tue Dec 08 07:20 AM -- 07:30 AM (PST) @ Orals & Spotlights: Vision Applications
Multiview Neural Surface Reconstruction by Disentangling Geometry and Appearance
In Orals & Spotlights Track 07: Vision Applications
Lior Yariv · Yoni Kasten · Dror Moran · Meirav Galun · Matan Atzmon · Basri Ronen · Yaron Lipman
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Tue Dec 08 07:20 AM -- 07:30 AM (PST) @ Orals & Spotlights: Deep Learning
Monotone operator equilibrium networks
In Orals & Spotlights Track 08: Deep Learning
Ezra Winston · J. Zico Kolter
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Tue Dec 08 07:20 AM -- 07:30 AM (PST) @ Orals & Spotlights: Reinforcement Learning
Finite-Time Analysis for Double Q-learning
In Orals & Spotlights Track 09: Reinforcement Learning
Huaqing Xiong · Lin Zhao · Yingbin Liang · Wei Zhang
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Tue Dec 08 07:20 AM -- 07:30 AM (PST) @ Orals & Spotlights: Social/Privacy
Permute-and-Flip: A new mechanism for differentially private selection
In Orals & Spotlights Track 10: Social/Privacy
Ryan McKenna · Daniel Sheldon
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Tue Dec 08 07:20 AM -- 07:30 AM (PST) @ Orals & Spotlights: Learning Theory
A Bandit Learning Algorithm and Applications to Auction Design
In Orals & Spotlights Track 11: Learning Theory
Kim Thang Nguyen
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Tue Dec 08 07:30 AM -- 07:40 AM (PST) @ Orals & Spotlights: Clustering/Ranking
Manifold structure in graph embeddings
In Orals & Spotlights Track 05: Clustering/Ranking
Patrick Rubin-Delanchy
Spotlight
Tue Dec 08 07:30 AM -- 07:40 AM (PST) @ Orals & Spotlights: Dynamical Sys/Density/Sparsity
A Theoretical Framework for Target Propagation
In Orals & Spotlights Track 06: Dynamical Sys/Density/Sparsity
Alexander Meulemans · Francesco Carzaniga · Johan Suykens · João Sacramento · Benjamin F. Grewe
Spotlight
Tue Dec 08 07:30 AM -- 07:40 AM (PST) @ Orals & Spotlights: Vision Applications
Learning Semantic-aware Normalization for Generative Adversarial Networks
In Orals & Spotlights Track 07: Vision Applications
Heliang Zheng · Jianlong Fu · Yanhong Zeng · Jiebo Luo · Zheng-Jun Zha
Spotlight
Tue Dec 08 07:30 AM -- 07:40 AM (PST) @ Orals & Spotlights: Deep Learning
What Do Neural Networks Learn When Trained With Random Labels?
In Orals & Spotlights Track 08: Deep Learning
Hartmut Maennel · Ibrahim Alabdulmohsin · Ilya Tolstikhin · Robert Baldock · Olivier Bousquet · Sylvain Gelly · Daniel Keysers
Spotlight
Tue Dec 08 07:30 AM -- 07:40 AM (PST) @ Orals & Spotlights: Reinforcement Learning
Towards Minimax Optimal Reinforcement Learning in Factored Markov Decision Processes
In Orals & Spotlights Track 09: Reinforcement Learning
Yi Tian · Jian Qian · Suvrit Sra
Spotlight
Tue Dec 08 07:30 AM -- 07:40 AM (PST) @ Orals & Spotlights: Social/Privacy
Smoothed Analysis of Online and Differentially Private Learning
In Orals & Spotlights Track 10: Social/Privacy
Nika Haghtalab · Tim Roughgarden · Abhishek Shetty
Spotlight
Tue Dec 08 07:30 AM -- 07:40 AM (PST) @ Orals & Spotlights: Learning Theory
An Optimal Elimination Algorithm for Learning a Best Arm
In Orals & Spotlights Track 11: Learning Theory
Avinatan Hassidim · Ron Kupfer · Yaron Singer
Spotlight
Tue Dec 08 07:50 AM -- 08:00 AM (PST) @ Orals & Spotlights: Clustering/Ranking
Self-Supervised Learning by Cross-Modal Audio-Video Clustering
In Orals & Spotlights Track 05: Clustering/Ranking
Humam Alwassel · Dhruv Mahajan · Bruno Korbar · Lorenzo Torresani · Bernard Ghanem · Du Tran
Spotlight
Tue Dec 08 07:50 AM -- 08:00 AM (PST) @ Orals & Spotlights: Dynamical Sys/Density/Sparsity
Training Generative Adversarial Networks by Solving Ordinary Differential Equations
In Orals & Spotlights Track 06: Dynamical Sys/Density/Sparsity
Chongli Qin · Yan Wu · Jost Tobias Springenberg · Andy Brock · Jeff Donahue · Timothy Lillicrap · Pushmeet Kohli
Spotlight
Tue Dec 08 07:50 AM -- 08:00 AM (PST) @ Orals & Spotlights: Vision Applications
Neural Sparse Voxel Fields
In Orals & Spotlights Track 07: Vision Applications
Lingjie Liu · Jiatao Gu · Kyaw Zaw Lin · Tat-Seng Chua · Christian Theobalt
Spotlight
Tue Dec 08 07:50 AM -- 08:00 AM (PST) @ Orals & Spotlights: Deep Learning
H-Mem: Harnessing synaptic plasticity with Hebbian Memory Networks
In Orals & Spotlights Track 08: Deep Learning
Thomas Limbacher · Robert Legenstein
Spotlight
Tue Dec 08 07:50 AM -- 08:00 AM (PST) @ Orals & Spotlights: Reinforcement Learning
Efficient Model-Based Reinforcement Learning through Optimistic Policy Search and Planning
In Orals & Spotlights Track 09: Reinforcement Learning
Sebastian Curi · Felix Berkenkamp · Andreas Krause
Spotlight
Tue Dec 08 07:50 AM -- 08:00 AM (PST) @ Orals & Spotlights: Social/Privacy
Optimal Private Median Estimation under Minimal Distributional Assumptions
In Orals & Spotlights Track 10: Social/Privacy
Christos Tzamos · Emmanouil-Vasileios Vlatakis-Gkaragkounis · Ilias Zadik
Spotlight
Tue Dec 08 07:50 AM -- 08:00 AM (PST) @ Orals & Spotlights: Learning Theory
Second Order PAC-Bayesian Bounds for the Weighted Majority Vote
In Orals & Spotlights Track 11: Learning Theory
Andres Masegosa · Stephan Lorenzen · Christian Igel · Yevgeny Seldin
Spotlight
Tue Dec 08 08:00 AM -- 08:10 AM (PST) @ Orals & Spotlights: Clustering/Ranking
Classification with Valid and Adaptive Coverage
In Orals & Spotlights Track 05: Clustering/Ranking
Yaniv Romano · Matteo Sesia · Emmanuel Candes
Spotlight
Tue Dec 08 08:00 AM -- 08:10 AM (PST) @ Orals & Spotlights: Dynamical Sys/Density/Sparsity
Information theoretic limits of learning a sparse rule
In Orals & Spotlights Track 06: Dynamical Sys/Density/Sparsity
Clément Luneau · jean barbier · Nicolas Macris
Spotlight
Tue Dec 08 08:00 AM -- 08:10 AM (PST) @ Orals & Spotlights: Vision Applications
3D Multi-bodies: Fitting Sets of Plausible 3D Human Models to Ambiguous Image Data
In Orals & Spotlights Track 07: Vision Applications
Benjamin Biggs · David Novotny · Sebastien Ehrhardt · Hanbyul Joo · Ben Graham · Andrea Vedaldi
Spotlight
Tue Dec 08 08:00 AM -- 08:10 AM (PST) @ Orals & Spotlights: Deep Learning
ExpandNets: Linear Over-parameterization to Train Compact Convolutional Networks
In Orals & Spotlights Track 08: Deep Learning
Shuxuan Guo · Jose M. Alvarez · Mathieu Salzmann
Spotlight
Tue Dec 08 08:00 AM -- 08:10 AM (PST) @ Orals & Spotlights: Reinforcement Learning
Model-based Policy Optimization with Unsupervised Model Adaptation
In Orals & Spotlights Track 09: Reinforcement Learning
Jian Shen · Han Zhao · Han Zhao · Weinan Zhang · Yong Yu
Spotlight
Tue Dec 08 08:00 AM -- 08:10 AM (PST) @ Orals & Spotlights: Social/Privacy
Assisted Learning: A Framework for Multi-Organization Learning
In Orals & Spotlights Track 10: Social/Privacy
Xun Xian · Xinran Wang · Jie Ding · Reza Ghanadan
Spotlight
Tue Dec 08 08:00 AM -- 08:10 AM (PST) @ Orals & Spotlights: Learning Theory
PAC-Bayesian Bound for the Conditional Value at Risk
In Orals & Spotlights Track 11: Learning Theory
Zakaria Mhammedi · Benjamin Guedj · Robert Williamson
Spotlight
Tue Dec 08 08:10 AM -- 08:20 AM (PST) @ Orals & Spotlights: Clustering/Ranking
On ranking via sorting by estimated expected utility
In Orals & Spotlights Track 05: Clustering/Ranking
Clement Calauzenes · Nicolas Usunier
Spotlight
Tue Dec 08 08:10 AM -- 08:20 AM (PST) @ Orals & Spotlights: Dynamical Sys/Density/Sparsity
Constant-Expansion Suffices for Compressed Sensing with Generative Priors
In Orals & Spotlights Track 06: Dynamical Sys/Density/Sparsity
Constantinos Daskalakis · Dhruv Rohatgi · Emmanouil Zampetakis · Emmanouil Zampetakis
Spotlight
Tue Dec 08 08:10 AM -- 08:20 AM (PST) @ Orals & Spotlights: Vision Applications
Learning to Detect Objects with a 1 Megapixel Event Camera
In Orals & Spotlights Track 07: Vision Applications
Etienne Perot · Pierre de Tournemire · Davide Nitti · Jonathan Masci · Amos Sironi
Spotlight
Tue Dec 08 08:10 AM -- 08:20 AM (PST) @ Orals & Spotlights: Deep Learning
The phase diagram of approximation rates for deep neural networks
In Orals & Spotlights Track 08: Deep Learning
Dmitry Yarotsky · Anton Zhevnerchuk
Spotlight
Tue Dec 08 08:10 AM -- 08:20 AM (PST) @ Orals & Spotlights: Reinforcement Learning
Variational Policy Gradient Method for Reinforcement Learning with General Utilities
In Orals & Spotlights Track 09: Reinforcement Learning
Junyu Zhang · Alec Koppel · Amrit Singh Bedi · Csaba Szepesvari · Mengdi Wang
Spotlight
Tue Dec 08 08:10 AM -- 08:20 AM (PST) @ Orals & Spotlights: Social/Privacy
Higher-Order Certification For Randomized Smoothing
In Orals & Spotlights Track 10: Social/Privacy
Jeet Mohapatra · Ching-Yun Ko · Tsui-Wei Weng · Pin-Yu Chen · Sijia Liu · Sijia Liu · Luca Daniel
Spotlight
Tue Dec 08 08:10 AM -- 08:20 AM (PST) @ Orals & Spotlights: Learning Theory
Classification Under Misspecification: Halfspaces, Generalized Linear Models, and Evolvability
In Orals & Spotlights Track 11: Learning Theory
Sitan Chen · Frederic Koehler · Ankur Moitra · Morris Yau
Spotlight
Tue Dec 08 08:20 AM -- 08:30 AM (PST) @ Orals & Spotlights: Dynamical Sys/Density/Sparsity
Logarithmic Pruning is All You Need
In Orals & Spotlights Track 06: Dynamical Sys/Density/Sparsity
Laurent Orseau · Marcus Hutter · Omar Rivasplata
Spotlight
Tue Dec 08 08:20 AM -- 08:30 AM (PST) @ Orals & Spotlights: Vision Applications
A Ranking-based, Balanced Loss Function Unifying Classification and Localisation in Object Detection
In Orals & Spotlights Track 07: Vision Applications
Kemal Oksuz · Baris Can Cam · Emre Akbas · Sinan Kalkan
Spotlight
Tue Dec 08 08:20 AM -- 08:30 AM (PST) @ Orals & Spotlights: Deep Learning
Optimal Lottery Tickets via Subset Sum: Logarithmic Over-Parameterization is Sufficient
In Orals & Spotlights Track 08: Deep Learning
Ankit Pensia · Shashank Rajput · Alliot Nagle · Harit Vishwakarma · Dimitris Papailiopoulos
Spotlight
Tue Dec 08 08:20 AM -- 08:30 AM (PST) @ Orals & Spotlights: Reinforcement Learning
Sample-Efficient Reinforcement Learning of Undercomplete POMDPs
In Orals & Spotlights Track 09: Reinforcement Learning
Chi Jin · Sham Kakade · Akshay Krishnamurthy · Qinghua Liu
Spotlight
Tue Dec 08 08:20 AM -- 08:30 AM (PST) @ Orals & Spotlights: Learning Theory
Hedging in games: Faster convergence of external and swap regrets
In Orals & Spotlights Track 11: Learning Theory
Xi Chen · Binghui Peng
Spotlight
Tue Dec 08 08:30 AM -- 08:40 AM (PST) @ Orals & Spotlights: Learning Theory
Online Bayesian Persuasion
In Orals & Spotlights Track 11: Learning Theory
Matteo Castiglioni · Andrea Celli · Alberto Marchesi · Nicola Gatti
Spotlight
Tue Dec 08 07:00 PM -- 07:10 PM (PST) @ Orals & Spotlights: Vision Applications
Self-Supervised Visual Representation Learning from Hierarchical Grouping
In Orals & Spotlights Track 12: Vision Applications
Xiao Zhang · Michael Maire
Spotlight
Tue Dec 08 07:00 PM -- 07:10 PM (PST) @ Orals & Spotlights: Deep Learning/Theory
MetaPerturb: Transferable Regularizer for Heterogeneous Tasks and Architectures
In Orals & Spotlights Track 13: Deep Learning/Theory
Jeong Un Ryu · JaeWoong Shin · Hae Beom Lee · Sung Ju Hwang
Spotlight
Tue Dec 08 07:00 PM -- 07:10 PM (PST) @ Orals & Spotlights: Reinforcement Learning
Reinforcement Learning with Augmented Data
In Orals & Spotlights Track 14: Reinforcement Learning
Misha Laskin · Kimin Lee · Adam Stooke · Lerrel Pinto · Pieter Abbeel · Aravind Srinivas
Spotlight
Tue Dec 08 07:10 PM -- 07:20 PM (PST) @ Orals & Spotlights: Vision Applications
Learning Affordance Landscapes for Interaction Exploration in 3D Environments
In Orals & Spotlights Track 12: Vision Applications
Tushar Nagarajan · Kristen Grauman
Spotlight
Tue Dec 08 07:10 PM -- 07:20 PM (PST) @ Orals & Spotlights: Deep Learning/Theory
Robust Recovery via Implicit Bias of Discrepant Learning Rates for Double Over-parameterization
In Orals & Spotlights Track 13: Deep Learning/Theory
Chong You · Zhihui Zhu · Qing Qu · Yi Ma
Spotlight
Tue Dec 08 07:10 PM -- 07:20 PM (PST) @ Orals & Spotlights: Reinforcement Learning
Sub-sampling for Efficient Non-Parametric Bandit Exploration
In Orals & Spotlights Track 14: Reinforcement Learning
Dorian Baudry · Emilie Kaufmann · Odalric-Ambrym Maillard
Spotlight
Tue Dec 08 07:20 PM -- 07:30 PM (PST) @ Orals & Spotlights: Vision Applications
Rel3D: A Minimally Contrastive Benchmark for Grounding Spatial Relations in 3D
In Orals & Spotlights Track 12: Vision Applications
Ankit Goyal · Kaiyu Yang · Dawei Yang · Jia Deng
Spotlight
Tue Dec 08 07:20 PM -- 07:30 PM (PST) @ Orals & Spotlights: Deep Learning/Theory
Compositional Visual Generation with Energy Based Models
In Orals & Spotlights Track 13: Deep Learning/Theory
Yilun Du · Shuang Li · Igor Mordatch
Spotlight
Tue Dec 08 07:20 PM -- 07:30 PM (PST) @ Orals & Spotlights: Reinforcement Learning
Language-Conditioned Imitation Learning for Robot Manipulation Tasks
In Orals & Spotlights Track 14: Reinforcement Learning
Simon Stepputtis · Joseph Campbell · Mariano Phielipp · Stefan Lee · Chitta Baral · Heni Ben Amor
Spotlight
Tue Dec 08 07:30 PM -- 07:40 PM (PST) @ Orals & Spotlights: Vision Applications
Large-Scale Adversarial Training for Vision-and-Language Representation Learning
In Orals & Spotlights Track 12: Vision Applications
Zhe Gan · Yen-Chun Chen · Linjie Li · Chen Zhu · Yu Cheng · Jingjing Liu
Spotlight
Tue Dec 08 07:30 PM -- 07:40 PM (PST) @ Orals & Spotlights: Deep Learning/Theory
Certified Monotonic Neural Networks
In Orals & Spotlights Track 13: Deep Learning/Theory
Xingchao Liu · Xing Han · Na Zhang · Qiang Liu
Spotlight
Tue Dec 08 07:30 PM -- 07:40 PM (PST) @ Orals & Spotlights: Reinforcement Learning
High-Dimensional Contextual Policy Search with Unknown Context Rewards using Bayesian Optimization
In Orals & Spotlights Track 14: Reinforcement Learning
Qing Feng · Ben Letham · Hongzi Mao · Eytan Bakshy
Spotlight
Tue Dec 08 07:50 PM -- 08:00 PM (PST) @ Orals & Spotlights: Vision Applications
Measuring Robustness to Natural Distribution Shifts in Image Classification
In Orals & Spotlights Track 12: Vision Applications
Rohan Taori · Achal Dave · Vaishaal Shankar · Nicholas Carlini · Benjamin Recht · Ludwig Schmidt
Spotlight
Tue Dec 08 07:50 PM -- 08:00 PM (PST) @ Orals & Spotlights: Deep Learning/Theory
Robust Sub-Gaussian Principal Component Analysis and Width-Independent Schatten Packing
In Orals & Spotlights Track 13: Deep Learning/Theory
Arun Jambulapati · Jerry Li · Kevin Tian
Spotlight
Tue Dec 08 07:50 PM -- 08:00 PM (PST) @ Orals & Spotlights: Reinforcement Learning
Policy Improvement via Imitation of Multiple Oracles
In Orals & Spotlights Track 14: Reinforcement Learning
Ching-An Cheng · Andrey Kolobov · Alekh Agarwal
Spotlight
Tue Dec 08 08:00 PM -- 08:10 PM (PST) @ Orals & Spotlights: Vision Applications
Curriculum By Smoothing
In Orals & Spotlights Track 12: Vision Applications
Samarth Sinha · Animesh Garg · Hugo Larochelle
Spotlight
Tue Dec 08 08:00 PM -- 08:10 PM (PST) @ Orals & Spotlights: Deep Learning/Theory
On Correctness of Automatic Differentiation for Non-Differentiable Functions
In Orals & Spotlights Track 13: Deep Learning/Theory
Wonyeol Lee · Hangyeol Yu · Xavier Rival · Hongseok Yang
Spotlight
Tue Dec 08 08:00 PM -- 08:10 PM (PST) @ Orals & Spotlights: Reinforcement Learning
Generating Adjacency-Constrained Subgoals in Hierarchical Reinforcement Learning
In Orals & Spotlights Track 14: Reinforcement Learning
Tianren Zhang · Shangqi Guo · Tian Tan · Xiaolin Hu · Feng Chen
Spotlight
Tue Dec 08 08:10 PM -- 08:20 PM (PST) @ Orals & Spotlights: Vision Applications
Fewer is More: A Deep Graph Metric Learning Perspective Using Fewer Proxies
In Orals & Spotlights Track 12: Vision Applications
Yuehua Zhu · Muli Yang · Cheng Deng · Wei Liu
Spotlight
Tue Dec 08 08:10 PM -- 08:20 PM (PST) @ Orals & Spotlights: Deep Learning/Theory
The Complete Lasso Tradeoff Diagram
In Orals & Spotlights Track 13: Deep Learning/Theory
Hua Wang · Yachong Yang · Zhiqi Bu · Weijie Su
Spotlight
Tue Dec 08 08:10 PM -- 08:20 PM (PST) @ Orals & Spotlights: Reinforcement Learning
Avoiding Side Effects in Complex Environments
In Orals & Spotlights Track 14: Reinforcement Learning
Alex Turner · Neale Ratzlaff · Prasad Tadepalli
Spotlight
Tue Dec 08 08:20 PM -- 08:30 PM (PST) @ Orals & Spotlights: Deep Learning/Theory
Quantifying the Empirical Wasserstein Distance to a Set of Measures: Beating the Curse of Dimensionality
In Orals & Spotlights Track 13: Deep Learning/Theory
Nian Si · Jose Blanchet · Soumyadip Ghosh · Mark Squillante
Spotlight
Tue Dec 08 08:20 PM -- 08:30 PM (PST) @ Orals & Spotlights: Reinforcement Learning
Preference-based Reinforcement Learning with Finite-Time Guarantees
In Orals & Spotlights Track 14: Reinforcement Learning
Yichong Xu · Ruosong Wang · Lin Yang · Aarti Singh · Artur Dubrawski
Spotlight
Wed Dec 09 07:00 AM -- 07:10 AM (PST) @ Orals & Spotlights: COVID/Applications/Composition
Compositional Generalization by Learning Analytical Expressions
In Orals & Spotlights Track 15: COVID/Applications/Composition
Qian Liu · Shengnan An · Jian-Guang Lou · Bei Chen · Zeqi Lin · Yan Gao · Bin Zhou · Nanning Zheng · Dongmei Zhang
Spotlight
Wed Dec 09 07:00 AM -- 07:10 AM (PST) @ Orals & Spotlights: Continual/Meta/Misc Learning
Meta-trained agents implement Bayes-optimal agents
In Orals & Spotlights Track 16: Continual/Meta/Misc Learning
Vladimir Mikulik · Grégoire Delétang · Tom McGrath · Tim Genewein · Miljan Martic · Shane Legg · Pedro Ortega
Spotlight
Wed Dec 09 07:00 AM -- 07:10 AM (PST) @ Orals & Spotlights: Kernel Methods/Optimization
A mathematical model for automatic differentiation in machine learning
In Orals & Spotlights Track 17: Kernel Methods/Optimization
Jérôme Bolte · Edouard Pauwels
Spotlight
Wed Dec 09 07:00 AM -- 07:10 AM (PST) @ Orals & Spotlights: Deep Learning
What if Neural Networks had SVDs?
In Orals & Spotlights Track 18: Deep Learning
Alexander Mathiasen · Frederik Hvilshøj · Jakob Rødsgaard Jørgensen · Anshul Nasery · Davide Mottin
Spotlight
Wed Dec 09 07:00 AM -- 07:10 AM (PST) @ Orals & Spotlights: Probabilistic/Causality
Generalized Independent Noise Condition for Estimating Latent Variable Causal Graphs
In Orals & Spotlights Track 19: Probabilistic/Causality
Feng Xie · Ruichu Cai · Biwei Huang · Clark Glymour · Zhifeng Hao · Kun Zhang
Spotlight
Wed Dec 09 07:00 AM -- 07:10 AM (PST) @ Orals & Spotlights: Social/Adversarial Learning
Explaining Naive Bayes and Other Linear Classifiers with Polynomial Time and Delay
In Orals & Spotlights Track 20: Social/Adversarial Learning
Joao Marques-Silva · Thomas Gerspacher · Martin Cooper · Alexey Ignatiev · Nina Narodytska
Spotlight
Wed Dec 09 07:00 AM -- 07:10 AM (PST) @ Orals & Spotlights: Optimization
Adam with Bandit Sampling for Deep Learning
In Orals & Spotlights Track 21: Optimization
Rui Liu · Tianyi Wu · Barzan Mozafari
Spotlight
Wed Dec 09 07:10 AM -- 07:20 AM (PST) @ Orals & Spotlights: COVID/Applications/Composition
Modern Hopfield Networks and Attention for Immune Repertoire Classification
In Orals & Spotlights Track 15: COVID/Applications/Composition
Michael Widrich · Bernhard Schäfl · Milena Pavlović · Hubert Ramsauer · Lukas Gruber · Markus Holzleitner · Johannes Brandstetter · Geir Kjetil Sandve · Victor Greiff · Sepp Hochreiter · Günter Klambauer
Spotlight
Wed Dec 09 07:10 AM -- 07:20 AM (PST) @ Orals & Spotlights: Continual/Meta/Misc Learning
Linear Dynamical Systems as a Core Computational Primitive
In Orals & Spotlights Track 16: Continual/Meta/Misc Learning
Shiva Kaul
Spotlight
Wed Dec 09 07:10 AM -- 07:20 AM (PST) @ Orals & Spotlights: Kernel Methods/Optimization
A kernel test for quasi-independence
In Orals & Spotlights Track 17: Kernel Methods/Optimization
Tamara Fernandez · Wenkai Xu · Marc Ditzhaus · Arthur Gretton
Spotlight
Wed Dec 09 07:10 AM -- 07:20 AM (PST) @ Orals & Spotlights: Deep Learning
Practical Quasi-Newton Methods for Training Deep Neural Networks
In Orals & Spotlights Track 18: Deep Learning
Donald Goldfarb · Yi Ren · Achraf Bahamou
Spotlight
Wed Dec 09 07:10 AM -- 07:20 AM (PST) @ Orals & Spotlights: Probabilistic/Causality
A Randomized Algorithm to Reduce the Support of Discrete Measures
In Orals & Spotlights Track 19: Probabilistic/Causality
Francesco Cosentino · Harald Oberhauser · Alessandro Abate
Spotlight
Wed Dec 09 07:10 AM -- 07:20 AM (PST) @ Orals & Spotlights: Social/Adversarial Learning
Differentially-Private Federated Linear Bandits
In Orals & Spotlights Track 20: Social/Adversarial Learning
Abhimanyu Dubey · Alex `Sandy' Pentland
Spotlight
Wed Dec 09 07:10 AM -- 07:20 AM (PST) @ Orals & Spotlights: Optimization
Explore Aggressively, Update Conservatively: Stochastic Extragradient Methods with Variable Stepsize Scaling
In Orals & Spotlights Track 21: Optimization
Yu-Guan Hsieh · Franck Iutzeler · Jérôme Malick · Panayotis Mertikopoulos
Spotlight
Wed Dec 09 07:20 AM -- 07:30 AM (PST) @ Orals & Spotlights: COVID/Applications/Composition
ICE-BeeM: Identifiable Conditional Energy-Based Deep Models Based on Nonlinear ICA
In Orals & Spotlights Track 15: COVID/Applications/Composition
Ilyes Khemakhem · Ricardo Monti · Diederik Kingma · Aapo Hyvarinen
Spotlight
Wed Dec 09 07:20 AM -- 07:30 AM (PST) @ Orals & Spotlights: Continual/Meta/Misc Learning
Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels
In Orals & Spotlights Track 16: Continual/Meta/Misc Learning
Massimiliano Patacchiola · Jack Turner · Elliot Crowley · Michael O'Boyle · Amos Storkey
Spotlight
Wed Dec 09 07:20 AM -- 07:30 AM (PST) @ Orals & Spotlights: Kernel Methods/Optimization
Fourier Sparse Leverage Scores and Approximate Kernel Learning
In Orals & Spotlights Track 17: Kernel Methods/Optimization
Tamas Erdelyi · Cameron Musco · Christopher Musco
Spotlight
Wed Dec 09 07:20 AM -- 07:30 AM (PST) @ Orals & Spotlights: Deep Learning
Triple descent and the two kinds of overfitting: where & why do they appear?
In Orals & Spotlights Track 18: Deep Learning
Stéphane d'Ascoli · Levent Sagun · Giulio Biroli
Spotlight
Wed Dec 09 07:20 AM -- 07:30 AM (PST) @ Orals & Spotlights: Probabilistic/Causality
A/B Testing in Dense Large-Scale Networks: Design and Inference
In Orals & Spotlights Track 19: Probabilistic/Causality
Preetam Nandy · Kinjal Basu · Shaunak Chatterjee · Ye Tu
Spotlight
Wed Dec 09 07:20 AM -- 07:30 AM (PST) @ Orals & Spotlights: Social/Adversarial Learning
Adversarial Training is a Form of Data-dependent Operator Norm Regularization
In Orals & Spotlights Track 20: Social/Adversarial Learning
Kevin Roth · Yannic Kilcher · Thomas Hofmann
Spotlight
Wed Dec 09 07:20 AM -- 07:30 AM (PST) @ Orals & Spotlights: Optimization
IDEAL: Inexact DEcentralized Accelerated Augmented Lagrangian Method
In Orals & Spotlights Track 21: Optimization
Yossi Arjevani · Joan Bruna · Bugra Can · Mert Gurbuzbalaban · Stefanie Jegelka · Hongzhou Lin · Hongzhou Lin
Spotlight
Wed Dec 09 07:30 AM -- 07:40 AM (PST) @ Orals & Spotlights: COVID/Applications/Composition
A causal view of compositional zero-shot recognition
In Orals & Spotlights Track 15: COVID/Applications/Composition
Yuval Atzmon · Felix Kreuk · Uri Shalit · Gal Chechik
Spotlight
Wed Dec 09 07:30 AM -- 07:40 AM (PST) @ Orals & Spotlights: Continual/Meta/Misc Learning
Uncertainty-aware Self-training for Few-shot Text Classification
In Orals & Spotlights Track 16: Continual/Meta/Misc Learning
Subhabrata Mukherjee · Ahmed Awadallah
Spotlight
Wed Dec 09 07:30 AM -- 07:40 AM (PST) @ Orals & Spotlights: Kernel Methods/Optimization
BOSS: Bayesian Optimization over String Spaces
In Orals & Spotlights Track 17: Kernel Methods/Optimization
Henry Moss · David Leslie · Daniel Beck · Javier González · Paul Rayson
Spotlight
Wed Dec 09 07:30 AM -- 07:40 AM (PST) @ Orals & Spotlights: Deep Learning
On the linearity of large non-linear models: when and why the tangent kernel is constant
In Orals & Spotlights Track 18: Deep Learning
Chaoyue Liu · Libin Zhu · Misha Belkin
Spotlight
Wed Dec 09 07:30 AM -- 07:40 AM (PST) @ Orals & Spotlights: Probabilistic/Causality
DisARM: An Antithetic Gradient Estimator for Binary Latent Variables
In Orals & Spotlights Track 19: Probabilistic/Causality
Zhe Dong · Andriy Mnih · George Tucker
Spotlight
Wed Dec 09 07:30 AM -- 07:40 AM (PST) @ Orals & Spotlights: Social/Adversarial Learning
Prediction with Corrupted Expert Advice
In Orals & Spotlights Track 20: Social/Adversarial Learning
Idan Amir · Idan Attias · Tomer Koren · Yishay Mansour · Roi Livni
Spotlight
Wed Dec 09 07:30 AM -- 07:40 AM (PST) @ Orals & Spotlights: Optimization
Revisiting Frank-Wolfe for Polytopes: Strict Complementarity and Sparsity
In Orals & Spotlights Track 21: Optimization
Dan Garber
Spotlight
Wed Dec 09 07:50 AM -- 08:00 AM (PST) @ Orals & Spotlights: COVID/Applications/Composition
RetroXpert: Decompose Retrosynthesis Prediction Like A Chemist
In Orals & Spotlights Track 15: COVID/Applications/Composition
Chaochao Yan · Qianggang Ding · Peilin Zhao · Shuangjia Zheng · JINYU YANG · Yang Yu · Junzhou Huang
Spotlight
Wed Dec 09 07:50 AM -- 08:00 AM (PST) @ Orals & Spotlights: Continual/Meta/Misc Learning
HiPPO: Recurrent Memory with Optimal Polynomial Projections
In Orals & Spotlights Track 16: Continual/Meta/Misc Learning
Albert Gu · Tri Dao · Stefano Ermon · Atri Rudra · Christopher Ré
Spotlight
Wed Dec 09 07:50 AM -- 08:00 AM (PST) @ Orals & Spotlights: Kernel Methods/Optimization
Fast geometric learning with symbolic matrices
In Orals & Spotlights Track 17: Kernel Methods/Optimization
Jean Feydy · Alexis Glaunès · Benjamin Charlier · Michael Bronstein
Spotlight
Wed Dec 09 07:50 AM -- 08:00 AM (PST) @ Orals & Spotlights: Deep Learning
Implicit Bias in Deep Linear Classification: Initialization Scale vs Training Accuracy
In Orals & Spotlights Track 18: Deep Learning
Edward Moroshko · Blake Woodworth · Suriya Gunasekar · Jason Lee · Nati Srebro · Daniel Soudry
Spotlight
Wed Dec 09 07:50 AM -- 08:00 AM (PST) @ Orals & Spotlights: Probabilistic/Causality
Off-Policy Evaluation and Learning for External Validity under a Covariate Shift
In Orals & Spotlights Track 19: Probabilistic/Causality
Masatoshi Uehara · Masahiro Kato · Shota Yasui
Spotlight
Wed Dec 09 07:50 AM -- 08:00 AM (PST) @ Orals & Spotlights: Social/Adversarial Learning
Guided Adversarial Attack for Evaluating and Enhancing Adversarial Defenses
In Orals & Spotlights Track 20: Social/Adversarial Learning
Gaurang Sriramanan · Sravanti Addepalli · Arya Baburaj · Arya Baburaj · Venkatesh Babu R
Spotlight
Wed Dec 09 07:50 AM -- 08:00 AM (PST) @ Orals & Spotlights: Optimization
Minibatch Stochastic Approximate Proximal Point Methods
In Orals & Spotlights Track 21: Optimization
Hilal Asi · Karan Chadha · Gary Cheng · John Duchi
Spotlight
Wed Dec 09 08:00 AM -- 08:10 AM (PST) @ Orals & Spotlights: COVID/Applications/Composition
Barking up the right tree: an approach to search over molecule synthesis DAGs
In Orals & Spotlights Track 15: COVID/Applications/Composition
John Bradshaw · Brooks Paige · Brooks Paige · Matt Kusner · Marwin Segler · José Miguel Hernández-Lobato
Spotlight
Wed Dec 09 08:00 AM -- 08:10 AM (PST) @ Orals & Spotlights: Continual/Meta/Misc Learning
Efficient Marginalization of Discrete and Structured Latent Variables via Sparsity
In Orals & Spotlights Track 16: Continual/Meta/Misc Learning
Gonçalo Correia · Vlad Niculae · Wilker Aziz · André Martins
Spotlight
Wed Dec 09 08:00 AM -- 08:10 AM (PST) @ Orals & Spotlights: Kernel Methods/Optimization
Training Stronger Baselines for Learning to Optimize
In Orals & Spotlights Track 17: Kernel Methods/Optimization
Tianlong Chen · Weiyi Zhang · Zhou Jingyang · Shiyu Chang · Sijia Liu · Sijia Liu · Lisa Amini · Zhangyang Wang
Spotlight
Wed Dec 09 08:00 AM -- 08:10 AM (PST) @ Orals & Spotlights: Deep Learning
Proximal Mapping for Deep Regularization
In Orals & Spotlights Track 18: Deep Learning
Mao Li · Yingyi Ma · Xinhua Zhang
Spotlight
Wed Dec 09 08:00 AM -- 08:10 AM (PST) @ Orals & Spotlights: Probabilistic/Causality
Sense and Sensitivity Analysis: Simple Post-Hoc Analysis of Bias Due to Unobserved Confounding
In Orals & Spotlights Track 19: Probabilistic/Causality
Victor Veitch · Anisha Zaveri
Spotlight
Wed Dec 09 08:00 AM -- 08:10 AM (PST) @ Orals & Spotlights: Social/Adversarial Learning
Towards Safe Policy Improvement for Non-Stationary MDPs
In Orals & Spotlights Track 20: Social/Adversarial Learning
Yash Chandak · Scott Jordan · Georgios Theocharous · Martha White · Philip Thomas
Spotlight
Wed Dec 09 08:00 AM -- 08:10 AM (PST) @ Orals & Spotlights: Optimization
Finding Second-Order Stationary Points Efficiently in Smooth Nonconvex Linearly Constrained Optimization Problems
In Orals & Spotlights Track 21: Optimization
Songtao Lu · Meisam Razaviyayn · Bo Yang · Kejun Huang · Mingyi Hong
Spotlight
Wed Dec 09 08:10 AM -- 08:20 AM (PST) @ Orals & Spotlights: COVID/Applications/Composition
Learning Object-Centric Representations of Multi-Object Scenes from Multiple Views
In Orals & Spotlights Track 15: COVID/Applications/Composition
Nanbo Li · Cian Eastwood · Robert Fisher
Spotlight
Wed Dec 09 08:10 AM -- 08:20 AM (PST) @ Orals & Spotlights: Continual/Meta/Misc Learning
Leap-Of-Thought: Teaching Pre-Trained Models to Systematically Reason Over Implicit Knowledge
In Orals & Spotlights Track 16: Continual/Meta/Misc Learning
Alon Talmor · Oyvind Tafjord · Peter Clark · Yoav Goldberg · Jonathan Berant
Spotlight
Wed Dec 09 08:10 AM -- 08:20 AM (PST) @ Orals & Spotlights: Kernel Methods/Optimization
Learning Linear Programs from Optimal Decisions
In Orals & Spotlights Track 17: Kernel Methods/Optimization
Yingcong Tan · Daria Terekhov · Andrew Delong
Spotlight
Wed Dec 09 08:10 AM -- 08:20 AM (PST) @ Orals & Spotlights: Deep Learning
BoxE: A Box Embedding Model for Knowledge Base Completion
In Orals & Spotlights Track 18: Deep Learning
Ralph Abboud · Ismail Ceylan · Thomas Lukasiewicz · Tommaso Salvatori
Spotlight
Wed Dec 09 08:10 AM -- 08:20 AM (PST) @ Orals & Spotlights: Probabilistic/Causality
Differentiable Causal Discovery from Interventional Data
In Orals & Spotlights Track 19: Probabilistic/Causality
Philippe Brouillard · Sébastien Lachapelle · Alexandre Lacoste · Simon Lacoste-Julien · Alexandre Drouin
Spotlight
Wed Dec 09 08:10 AM -- 08:20 AM (PST) @ Orals & Spotlights: Social/Adversarial Learning
Robust Deep Reinforcement Learning against Adversarial Perturbations on State Observations
In Orals & Spotlights Track 20: Social/Adversarial Learning
Huan Zhang · Hongge Chen · Hongge Chen · Chaowei Xiao · Bo Li · Mingyan Liu · Duane Boning · Cho-Jui Hsieh
Spotlight
Wed Dec 09 08:10 AM -- 08:20 AM (PST) @ Orals & Spotlights: Optimization
Least Squares Regression with Markovian Data: Fundamental Limits and Algorithms
In Orals & Spotlights Track 21: Optimization
Dheeraj Nagaraj · Xian Wu · Guy Bresler · Prateek Jain · Praneeth Netrapalli
Spotlight
Wed Dec 09 08:20 AM -- 08:30 AM (PST) @ Orals & Spotlights: COVID/Applications/Composition
Experimental design for MRI by greedy policy search
In Orals & Spotlights Track 15: COVID/Applications/Composition
Tim Bakker · Herke van Hoof · Max Welling
Spotlight
Wed Dec 09 08:20 AM -- 08:30 AM (PST) @ Orals & Spotlights: Continual/Meta/Misc Learning
Bongard-LOGO: A New Benchmark for Human-Level Concept Learning and Reasoning
In Orals & Spotlights Track 16: Continual/Meta/Misc Learning
Weili Nie · Zhiding Yu · Lei Mao · Ankit Patel · Yuke Zhu · Anima Anandkumar
Spotlight
Wed Dec 09 08:20 AM -- 08:30 AM (PST) @ Orals & Spotlights: Kernel Methods/Optimization
Automatically Learning Compact Quality-aware Surrogates for Optimization Problems
In Orals & Spotlights Track 17: Kernel Methods/Optimization
Kai Wang · Bryan Wilder · Andrew Perrault · Milind Tambe
Spotlight
Wed Dec 09 08:20 AM -- 08:30 AM (PST) @ Orals & Spotlights: Probabilistic/Causality
Bayesian Causal Structural Learning with Zero-Inflated Poisson Bayesian Networks
In Orals & Spotlights Track 19: Probabilistic/Causality
Junsouk Choi · Robert Chapkin · Yang Ni
Spotlight
Wed Dec 09 08:20 AM -- 08:30 AM (PST) @ Orals & Spotlights: Social/Adversarial Learning
Algorithmic recourse under imperfect causal knowledge: a probabilistic approach
In Orals & Spotlights Track 20: Social/Adversarial Learning
Amir-Hossein Karimi · Julius von Kügelgen · Bernhard Schölkopf · Isabel Valera
Spotlight
Wed Dec 09 08:20 AM -- 08:30 AM (PST) @ Orals & Spotlights: Optimization
Linearly Converging Error Compensated SGD
In Orals & Spotlights Track 21: Optimization
Eduard Gorbunov · Dmitry Kovalev · Dmitry Makarenko · Peter Richtarik
Spotlight
Wed Dec 09 08:30 AM -- 08:40 AM (PST) @ Orals & Spotlights: COVID/Applications/Composition
How Robust are the Estimated Effects of Nonpharmaceutical Interventions against COVID-19?
In Orals & Spotlights Track 15: COVID/Applications/Composition
Mrinank Sharma · Sören Mindermann · Jan Brauner · Gavin Leech · Anna Stephenson · Tomáš Gavenčiak · Jan Kulveit · Yee Whye Teh · Leonid Chindelevitch · Yarin Gal
Spotlight
Wed Dec 09 08:30 AM -- 08:40 AM (PST) @ Orals & Spotlights: Optimization
Learning Augmented Energy Minimization via Speed Scaling
In Orals & Spotlights Track 21: Optimization
Etienne Bamas · Andreas Maggiori · Lars Rohwedder · Ola Svensson
Spotlight
Wed Dec 09 08:30 AM -- 08:40 AM (PST) @ Orals & Spotlights: Continual/Meta/Misc Learning
Instead of Rewriting Foreign Code for Machine Learning, Automatically Synthesize Fast Gradients
In Orals & Spotlights Track 16: Continual/Meta/Misc Learning
William Moses · Valentin Churavy
Spotlight
Wed Dec 09 08:30 AM -- 08:40 AM (PST) @ Orals & Spotlights: Probabilistic/Causality
Efficient semidefinite-programming-based inference for binary and multi-class MRFs
In Orals & Spotlights Track 19: Probabilistic/Causality
Chirag Pabbaraju · Po-Wei Wang · J. Zico Kolter
Spotlight
Wed Dec 09 08:30 AM -- 08:40 AM (PST) @ Orals & Spotlights: Social/Adversarial Learning
Understanding Gradient Clipping in Private SGD: A Geometric Perspective
In Orals & Spotlights Track 20: Social/Adversarial Learning
Xiangyi Chen · Steven Wu · Mingyi Hong
Spotlight
Wed Dec 09 07:00 PM -- 07:10 PM (PST) @ Orals & Spotlights: Vision Applications
Distribution Matching for Crowd Counting
In Orals & Spotlights Track 22: Vision Applications
Boyu Wang · Huidong Liu · Dimitris Samaras · Minh Hoai Nguyen
Spotlight
Wed Dec 09 07:00 PM -- 07:10 PM (PST) @ Orals & Spotlights: Graph/Meta Learning/Software
Improved Schemes for Episodic Memory-based Lifelong Learning
In Orals & Spotlights Track 23: Graph/Meta Learning/Software
Yunhui Guo · Mingrui Liu · Tianbao Yang · Tajana Rosing
Spotlight
Wed Dec 09 07:00 PM -- 07:10 PM (PST) @ Orals & Spotlights: Learning Theory
On Adaptive Distance Estimation
In Orals & Spotlights Track 24: Learning Theory
Yeshwanth Cherapanamjeri · Jelani Nelson
Spotlight
Wed Dec 09 07:10 PM -- 07:20 PM (PST) @ Orals & Spotlights: Vision Applications
Texture Interpolation for Probing Visual Perception
In Orals & Spotlights Track 22: Vision Applications
Jonathan Vacher · Aida Davila · Adam Kohn · Ruben Coen-Cagli
Spotlight
Wed Dec 09 07:10 PM -- 07:20 PM (PST) @ Orals & Spotlights: Graph/Meta Learning/Software
Spectral Temporal Graph Neural Network for Multivariate Time-series Forecasting
In Orals & Spotlights Track 23: Graph/Meta Learning/Software
Defu Cao · Yujing Wang · Juanyong Duan · Ce Zhang · Xia Zhu · Congrui Huang · Yunhai Tong · Bixiong Xu · Jing Bai · Jie Tong · Qi Zhang
Spotlight
Wed Dec 09 07:10 PM -- 07:20 PM (PST) @ Orals & Spotlights: Learning Theory
Tight First- and Second-Order Regret Bounds for Adversarial Linear Bandits
In Orals & Spotlights Track 24: Learning Theory
Shinji Ito · Shuichi Hirahara · Tasuku Soma · Yuichi Yoshida
Spotlight
Wed Dec 09 07:20 PM -- 07:30 PM (PST) @ Orals & Spotlights: Vision Applications
Consistent Structural Relation Learning for Zero-Shot Segmentation
In Orals & Spotlights Track 22: Vision Applications
Peike Li · Yunchao Wei · Yi Yang
Spotlight
Wed Dec 09 07:20 PM -- 07:30 PM (PST) @ Orals & Spotlights: Graph/Meta Learning/Software
Uncertainty Aware Semi-Supervised Learning on Graph Data
In Orals & Spotlights Track 23: Graph/Meta Learning/Software
Xujiang Zhao · Feng Chen · Shu Hu · Jin-Hee Cho
Spotlight
Wed Dec 09 07:20 PM -- 07:30 PM (PST) @ Orals & Spotlights: Learning Theory
Delay and Cooperation in Nonstochastic Linear Bandits
In Orals & Spotlights Track 24: Learning Theory
Shinji Ito · Daisuke Hatano · Hanna Sumita · Kei Takemura · Takuro Fukunaga · Naonori Kakimura · Ken-Ichi Kawarabayashi
Spotlight
Wed Dec 09 07:30 PM -- 07:40 PM (PST) @ Orals & Spotlights: Vision Applications
CaSPR: Learning Canonical Spatiotemporal Point Cloud Representations
In Orals & Spotlights Track 22: Vision Applications
Davis Rempe · Tolga Birdal · Yongheng Zhao · Zan Gojcic · Srinath Sridhar · Leonidas Guibas
Spotlight
Wed Dec 09 07:30 PM -- 07:40 PM (PST) @ Orals & Spotlights: Graph/Meta Learning/Software
Rethinking Importance Weighting for Deep Learning under Distribution Shift
In Orals & Spotlights Track 23: Graph/Meta Learning/Software
Tongtong Fang · Nan Lu · Gang Niu · Masashi Sugiyama
Spotlight
Wed Dec 09 07:30 PM -- 07:40 PM (PST) @ Orals & Spotlights: Learning Theory
Unreasonable Effectiveness of Greedy Algorithms in Multi-Armed Bandit with Many Arms
In Orals & Spotlights Track 24: Learning Theory
Mohsen Bayati · Nima Hamidi · Ramesh Johari · Khashayar Khosravi
Spotlight
Wed Dec 09 07:50 PM -- 08:00 PM (PST) @ Orals & Spotlights: Vision Applications
ShapeFlow: Learnable Deformation Flows Among 3D Shapes
In Orals & Spotlights Track 22: Vision Applications
Chiyu Jiang · Jingwei Huang · Andrea Tagliasacchi · Leonidas Guibas
Spotlight
Wed Dec 09 07:50 PM -- 08:00 PM (PST) @ Orals & Spotlights: Graph/Meta Learning/Software
Modular Meta-Learning with Shrinkage
In Orals & Spotlights Track 23: Graph/Meta Learning/Software
Yutian Chen · Abram Friesen · Feryal Behbahani · Arnaud Doucet · David Budden · Matthew Hoffman · Nando de Freitas
Spotlight
Wed Dec 09 07:50 PM -- 08:00 PM (PST) @ Orals & Spotlights: Learning Theory
Simultaneously Learning Stochastic and Adversarial Episodic MDPs with Known Transition
In Orals & Spotlights Track 24: Learning Theory
Tiancheng Jin · Haipeng Luo
Spotlight
Wed Dec 09 08:00 PM -- 08:10 PM (PST) @ Orals & Spotlights: Vision Applications
Neural Mesh Flow: 3D Manifold Mesh Generation via Diffeomorphic Flows
In Orals & Spotlights Track 22: Vision Applications
Kunal Gupta · Manmohan Chandraker
Spotlight
Wed Dec 09 08:00 PM -- 08:10 PM (PST) @ Orals & Spotlights: Graph/Meta Learning/Software
JAX MD: A Framework for Differentiable Physics
In Orals & Spotlights Track 23: Graph/Meta Learning/Software
Samuel Schoenholz · Ekin Dogus Cubuk
Spotlight
Wed Dec 09 08:00 PM -- 08:10 PM (PST) @ Orals & Spotlights: Learning Theory
A Tight Lower Bound and Efficient Reduction for Swap Regret
In Orals & Spotlights Track 24: Learning Theory
Shinji Ito
Spotlight
Wed Dec 09 08:10 PM -- 08:20 PM (PST) @ Orals & Spotlights: Vision Applications
Counterfactual Vision-and-Language Navigation: Unravelling the Unseen
In Orals & Spotlights Track 22: Vision Applications
Amin Parvaneh · Ehsan Abbasnejad · Damien Teney · Javen Qinfeng Shi · Anton van den Hengel
Spotlight
Wed Dec 09 08:10 PM -- 08:20 PM (PST) @ Orals & Spotlights: Graph/Meta Learning/Software
RNNPool: Efficient Non-linear Pooling for RAM Constrained Inference
In Orals & Spotlights Track 23: Graph/Meta Learning/Software
Oindrila Saha · Aditya Kusupati · Harsha Vardhan Simhadri · Manik Varma · Prateek Jain
Spotlight
Wed Dec 09 08:10 PM -- 08:20 PM (PST) @ Orals & Spotlights: Learning Theory
Estimation of Skill Distribution from a Tournament
In Orals & Spotlights Track 24: Learning Theory
Ali Jadbabaie · Anuran Makur · Devavrat Shah
Spotlight
Wed Dec 09 08:20 PM -- 08:30 PM (PST) @ Orals & Spotlights: Vision Applications
RelationNet++: Bridging Visual Representations for Object Detection via Transformer Decoder
In Orals & Spotlights Track 22: Vision Applications
Cheng Chi · Fangyun Wei · Han Hu
Spotlight
Wed Dec 09 08:20 PM -- 08:30 PM (PST) @ Orals & Spotlights: Learning Theory
Optimal Prediction of the Number of Unseen Species with Multiplicity
In Orals & Spotlights Track 24: Learning Theory
Yi Hao · Ping Li
Spotlight
Wed Dec 09 08:30 PM -- 08:40 PM (PST) @ Orals & Spotlights: Learning Theory
Estimating Rank-One Spikes from Heavy-Tailed Noise via Self-Avoiding Walks
In Orals & Spotlights Track 24: Learning Theory
Jingqiu Ding · Samuel Hopkins · David Steurer
Spotlight
Thu Dec 10 07:00 AM -- 07:10 AM (PST) @ Orals & Spotlights: Probabilistic Models/Statistics
Sampling from a k-DPP without looking at all items
In Orals & Spotlights Track 25: Probabilistic Models/Statistics
Daniele Calandriello · Michal Derezinski · Michal Valko
Spotlight
Thu Dec 10 07:00 AM -- 07:10 AM (PST) @ Orals & Spotlights: Graph/Relational/Theory
Learning Graph Structure With A Finite-State Automaton Layer
In Orals & Spotlights Track 26: Graph/Relational/Theory
Daniel Johnson · Hugo Larochelle · Daniel Tarlow
Spotlight
Thu Dec 10 07:00 AM -- 07:10 AM (PST) @ Orals & Spotlights: Unsupervised/Probabilistic
Self-Supervised Relational Reasoning for Representation Learning
In Orals & Spotlights Track 27: Unsupervised/Probabilistic
Massimiliano Patacchiola · Amos Storkey
Spotlight
Thu Dec 10 07:00 AM -- 07:10 AM (PST) @ Orals & Spotlights: Deep Learning
Simplifying Hamiltonian and Lagrangian Neural Networks via Explicit Constraints
In Orals & Spotlights Track 28: Deep Learning
Marc Finzi · Ke Alexander Wang · Andrew Wilson
Spotlight
Thu Dec 10 07:00 AM -- 07:10 AM (PST) @ Orals & Spotlights: Neuroscience
Stable and expressive recurrent vision models
In Orals & Spotlights Track 29: Neuroscience
Drew Linsley · Alekh Karkada Ashok · Lakshmi Narasimhan Govindarajan · Rex Liu · Thomas Serre
Spotlight
Thu Dec 10 07:00 AM -- 07:10 AM (PST) @ Orals & Spotlights: Optimization/Theory
Stability of Stochastic Gradient Descent on Nonsmooth Convex Losses
In Orals & Spotlights Track 30: Optimization/Theory
Raef Bassily · Vitaly Feldman · Cristóbal Guzmán · Kunal Talwar
Spotlight
Thu Dec 10 07:00 AM -- 07:10 AM (PST) @ Orals & Spotlights: Reinforcement Learning
Bandit Linear Control
In Orals & Spotlights Track 31: Reinforcement Learning
Asaf Cassel · Tomer Koren
Spotlight
Thu Dec 10 07:10 AM -- 07:20 AM (PST) @ Orals & Spotlights: Probabilistic Models/Statistics
Non-parametric Models for Non-negative Functions
In Orals & Spotlights Track 25: Probabilistic Models/Statistics
Ulysse Marteau-Ferey · Francis Bach · Alessandro Rudi
Spotlight
Thu Dec 10 07:10 AM -- 07:20 AM (PST) @ Orals & Spotlights: Graph/Relational/Theory
Pointer Graph Networks
In Orals & Spotlights Track 26: Graph/Relational/Theory
Petar Veličković · Lars Buesing · Matthew Overlan · Razvan Pascanu · Oriol Vinyals · Charles Blundell
Spotlight
Thu Dec 10 07:10 AM -- 07:20 AM (PST) @ Orals & Spotlights: Unsupervised/Probabilistic
Object-Centric Learning with Slot Attention
In Orals & Spotlights Track 27: Unsupervised/Probabilistic
Francesco Locatello · Dirk Weissenborn · Thomas Unterthiner · Aravindh Mahendran · Georg Heigold · Jakob Uszkoreit · Alexey Dosovitskiy · Thomas Kipf
Spotlight
Thu Dec 10 07:10 AM -- 07:20 AM (PST) @ Orals & Spotlights: Deep Learning
On Power Laws in Deep Ensembles
In Orals & Spotlights Track 28: Deep Learning
Ekaterina Lobacheva · Nadezhda Chirkova · Maxim Kodryan · Dmitry Vetrov
Spotlight
Thu Dec 10 07:10 AM -- 07:20 AM (PST) @ Orals & Spotlights: Neuroscience
Identifying Learning Rules From Neural Network Observables
In Orals & Spotlights Track 29: Neuroscience
Aran Nayebi · Sanjana Srivastava · Surya Ganguli · Daniel Yamins
Spotlight
Thu Dec 10 07:10 AM -- 07:20 AM (PST) @ Orals & Spotlights: Optimization/Theory
Optimal Approximation - Smoothness Tradeoffs for Soft-Max Functions
In Orals & Spotlights Track 30: Optimization/Theory
Alessandro Epasto · Mohammad Mahdian · Vahab Mirrokni · Emmanouil Zampetakis · Emmanouil Zampetakis
Spotlight
Thu Dec 10 07:10 AM -- 07:20 AM (PST) @ Orals & Spotlights: Reinforcement Learning
Neural Dynamic Policies for End-to-End Sensorimotor Learning
In Orals & Spotlights Track 31: Reinforcement Learning
Shikhar Bahl · Mustafa Mukadam · Abhinav Gupta · Deepak Pathak
Spotlight
Thu Dec 10 07:20 AM -- 07:30 AM (PST) @ Orals & Spotlights: Probabilistic Models/Statistics
Distribution-free binary classification: prediction sets, confidence intervals and calibration
In Orals & Spotlights Track 25: Probabilistic Models/Statistics
Chirag Gupta · Aleksandr Podkopaev · Aaditya Ramdas
Spotlight
Thu Dec 10 07:20 AM -- 07:30 AM (PST) @ Orals & Spotlights: Unsupervised/Probabilistic
Telescoping Density-Ratio Estimation
In Orals & Spotlights Track 27: Unsupervised/Probabilistic
Benjamin Rhodes · Kai Xu · Michael U. Gutmann
Spotlight
Thu Dec 10 07:20 AM -- 07:30 AM (PST) @ Orals & Spotlights: Deep Learning
Learning the Geometry of Wave-Based Imaging
In Orals & Spotlights Track 28: Deep Learning
Konik Kothari · Maarten de Hoop · Ivan Dokmanić
Spotlight
Thu Dec 10 07:20 AM -- 07:30 AM (PST) @ Orals & Spotlights: Neuroscience
A new inference approach for training shallow and deep generalized linear models of noisy interacting neurons
In Orals & Spotlights Track 29: Neuroscience
Gabriel Mahuas · Giulio Isacchini · Olivier Marre · Ulisse Ferrari · Thierry Mora
Spotlight
Thu Dec 10 07:20 AM -- 07:30 AM (PST) @ Orals & Spotlights: Optimization/Theory
Conformal Symplectic and Relativistic Optimization
In Orals & Spotlights Track 30: Optimization/Theory
Guilherme Franca · Jeremias Sulam · Daniel Robinson · Rene Vidal
Spotlight
Thu Dec 10 07:20 AM -- 07:30 AM (PST) @ Orals & Spotlights: Reinforcement Learning
Effective Diversity in Population Based Reinforcement Learning
In Orals & Spotlights Track 31: Reinforcement Learning
Jack Parker-Holder · Aldo Pacchiano · Krzysztof M Choromanski · Stephen J Roberts
Spotlight
Thu Dec 10 07:30 AM -- 07:40 AM (PST) @ Orals & Spotlights: Probabilistic Models/Statistics
Factor Graph Grammars
In Orals & Spotlights Track 25: Probabilistic Models/Statistics
David Chiang · Darcey Riley
Spotlight
Thu Dec 10 07:30 AM -- 07:40 AM (PST) @ Orals & Spotlights: Graph/Relational/Theory
Certified Robustness of Graph Convolution Networks for Graph Classification under Topological Attacks
In Orals & Spotlights Track 26: Graph/Relational/Theory
Hongwei Jin · Zhan Shi · Venkata Jaya Shankar Ashish Peruri · Xinhua Zhang
Spotlight
Thu Dec 10 07:30 AM -- 07:40 AM (PST) @ Orals & Spotlights: Unsupervised/Probabilistic
Probabilistic Inference with Algebraic Constraints: Theoretical Limits and Practical Approximations
In Orals & Spotlights Track 27: Unsupervised/Probabilistic
Zhe Zeng · Paolo Morettin · Fanqi Yan · Antonio Vergari · Guy Van den Broeck
Spotlight
Thu Dec 10 07:30 AM -- 07:40 AM (PST) @ Orals & Spotlights: Deep Learning
The Surprising Simplicity of the Early-Time Learning Dynamics of Neural Networks
In Orals & Spotlights Track 28: Deep Learning
Wei Hu · Lechao Xiao · Ben Adlam · Jeffrey Pennington
Spotlight
Thu Dec 10 07:30 AM -- 07:40 AM (PST) @ Orals & Spotlights: Neuroscience
Modeling Shared responses in Neuroimaging Studies through MultiView ICA
In Orals & Spotlights Track 29: Neuroscience
Hugo Richard · Luigi Gresele · Aapo Hyvarinen · Bertrand Thirion · Alexandre Gramfort · Pierre Ablin
Spotlight
Thu Dec 10 07:30 AM -- 07:40 AM (PST) @ Orals & Spotlights: Optimization/Theory
Random Reshuffling is Not Always Better
In Orals & Spotlights Track 30: Optimization/Theory
Christopher De Sa
Spotlight
Thu Dec 10 07:30 AM -- 07:40 AM (PST) @ Orals & Spotlights: Reinforcement Learning
Adversarial Soft Advantage Fitting: Imitation Learning without Policy Optimization
In Orals & Spotlights Track 31: Reinforcement Learning
Paul Barde · Julien Roy · Wonseok Jeon · Joelle Pineau · Chris Pal · Derek Nowrouzezahrai
Spotlight
Thu Dec 10 07:50 AM -- 08:00 AM (PST) @ Orals & Spotlights: Probabilistic Models/Statistics
Asymptotically Optimal Exact Minibatch Metropolis-Hastings
In Orals & Spotlights Track 25: Probabilistic Models/Statistics
Ruqi Zhang · A. Feder Cooper · Christopher De Sa
Spotlight
Thu Dec 10 07:50 AM -- 08:00 AM (PST) @ Orals & Spotlights: Graph/Relational/Theory
Convergence and Stability of Graph Convolutional Networks on Large Random Graphs
In Orals & Spotlights Track 26: Graph/Relational/Theory
Nicolas Keriven · Alberto Bietti · Alberto Bietti · Samuel Vaiter
Spotlight
Thu Dec 10 07:50 AM -- 08:00 AM (PST) @ Orals & Spotlights: Unsupervised/Probabilistic
Path Sample-Analytic Gradient Estimators for Stochastic Binary Networks
In Orals & Spotlights Track 27: Unsupervised/Probabilistic
Alexander Shekhovtsov · Viktor Yanush · Boris Flach
Spotlight
Thu Dec 10 07:50 AM -- 08:00 AM (PST) @ Orals & Spotlights: Deep Learning
Sparse and Continuous Attention Mechanisms
In Orals & Spotlights Track 28: Deep Learning
André Martins · António Farinhas · Marcos Treviso · Vlad Niculae · Pedro Aguiar · Mario Figueiredo
Spotlight
Thu Dec 10 07:50 AM -- 08:00 AM (PST) @ Orals & Spotlights: Neuroscience
Patch2Self: Denoising Diffusion MRI with Self-Supervised Learning​
In Orals & Spotlights Track 29: Neuroscience
Shreyas Fadnavis · Joshua Batson · Eleftherios Garyfallidis
Spotlight
Thu Dec 10 07:50 AM -- 08:00 AM (PST) @ Orals & Spotlights: Optimization/Theory
The Statistical Complexity of Early-Stopped Mirror Descent
In Orals & Spotlights Track 30: Optimization/Theory
Tomas Vaskevicius · Varun Kanade · Patrick Rebeschini
Spotlight
Thu Dec 10 07:50 AM -- 08:00 AM (PST) @ Orals & Spotlights: Reinforcement Learning
Reward Propagation Using Graph Convolutional Networks
In Orals & Spotlights Track 31: Reinforcement Learning
Martin Klissarov · Doina Precup
Spotlight
Thu Dec 10 08:00 AM -- 08:10 AM (PST) @ Orals & Spotlights: Probabilistic Models/Statistics
Bayes Consistency vs. H-Consistency: The Interplay between Surrogate Loss Functions and the Scoring Function Class
In Orals & Spotlights Track 25: Probabilistic Models/Statistics
Mingyuan Zhang · Shivani Agarwal
Spotlight
Thu Dec 10 08:00 AM -- 08:10 AM (PST) @ Orals & Spotlights: Graph/Relational/Theory
Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains
In Orals & Spotlights Track 26: Graph/Relational/Theory
Matthew Tancik · Pratul Srinivasan · Ben Mildenhall · Sara Fridovich-Keil · Nithin Raghavan · Utkarsh Singhal · Ravi Ramamoorthi · Jonathan Barron · Ren Ng
Spotlight
Thu Dec 10 08:00 AM -- 08:10 AM (PST) @ Orals & Spotlights: Unsupervised/Probabilistic
Stochastic Normalizing Flows
In Orals & Spotlights Track 27: Unsupervised/Probabilistic
Hao Wu · Jonas Köhler · Frank Noe
Spotlight
Thu Dec 10 08:00 AM -- 08:10 AM (PST) @ Orals & Spotlights: Deep Learning
Temporal Spike Sequence Learning via Backpropagation for Deep Spiking Neural Networks
In Orals & Spotlights Track 28: Deep Learning
Wenrui Zhang · Peng Li
Spotlight
Thu Dec 10 08:00 AM -- 08:10 AM (PST) @ Orals & Spotlights: Neuroscience
Uncovering the Topology of Time-Varying fMRI Data using Cubical Persistence
In Orals & Spotlights Track 29: Neuroscience
Bastian Rieck · Tristan Yates · Christian Bock · Karsten Borgwardt · Guy Wolf · Nicholas Turk-Browne · Smita Krishnaswamy
Spotlight
Thu Dec 10 08:00 AM -- 08:10 AM (PST) @ Orals & Spotlights: Optimization/Theory
Overfitting Can Be Harmless for Basis Pursuit, But Only to a Degree
In Orals & Spotlights Track 30: Optimization/Theory
Peizhong Ju · Xiaojun Lin · Jia Liu
Spotlight
Thu Dec 10 08:00 AM -- 08:10 AM (PST) @ Orals & Spotlights: Reinforcement Learning
On the Convergence of Smooth Regularized Approximate Value Iteration Schemes
In Orals & Spotlights Track 31: Reinforcement Learning
Elena Smirnova · Elvis Dohmatob
Spotlight
Thu Dec 10 08:10 AM -- 08:20 AM (PST) @ Orals & Spotlights: Probabilistic Models/Statistics
Confidence sequences for sampling without replacement
In Orals & Spotlights Track 25: Probabilistic Models/Statistics
Ian Waudby-Smith · Aaditya Ramdas
Spotlight
Thu Dec 10 08:10 AM -- 08:20 AM (PST) @ Orals & Spotlights: Graph/Relational/Theory
Most ReLU Networks Suffer from $\ell^2$ Adversarial Perturbations
In Orals & Spotlights Track 26: Graph/Relational/Theory
Amit Daniely · Hadas Shacham
Spotlight
Thu Dec 10 08:10 AM -- 08:20 AM (PST) @ Orals & Spotlights: Unsupervised/Probabilistic
Generative Neurosymbolic Machines
In Orals & Spotlights Track 27: Unsupervised/Probabilistic
Jindong Jiang · Sungjin Ahn
Spotlight
Thu Dec 10 08:10 AM -- 08:20 AM (PST) @ Orals & Spotlights: Deep Learning
Directional convergence and alignment in deep learning
In Orals & Spotlights Track 28: Deep Learning
Ziwei Ji · Matus Telgarsky
Spotlight
Thu Dec 10 08:10 AM -- 08:20 AM (PST) @ Orals & Spotlights: Neuroscience
System Identification with Biophysical Constraints: A Circuit Model of the Inner Retina
In Orals & Spotlights Track 29: Neuroscience
Cornelius Schröder · David Klindt · Sarah Strauss · Katrin Franke · Matthias Bethge · Thomas Euler · Philipp Berens
Spotlight
Thu Dec 10 08:10 AM -- 08:20 AM (PST) @ Orals & Spotlights: Optimization/Theory
Towards Problem-dependent Optimal Learning Rates
In Orals & Spotlights Track 30: Optimization/Theory
Yunbei Xu · Assaf Zeevi
Spotlight
Thu Dec 10 08:10 AM -- 08:20 AM (PST) @ Orals & Spotlights: Reinforcement Learning
Latent World Models For Intrinsically Motivated Exploration
In Orals & Spotlights Track 31: Reinforcement Learning
Aleksandr Ermolov · Nicu Sebe
Spotlight
Thu Dec 10 08:20 AM -- 08:30 AM (PST) @ Orals & Spotlights: Probabilistic Models/Statistics
Statistical and Topological Properties of Sliced Probability Divergences
In Orals & Spotlights Track 25: Probabilistic Models/Statistics
Kimia Nadjahi · Alain Durmus · Lénaïc Chizat · Soheil Kolouri · Shahin Shahrampour · Umut Simsekli · Umut Simsekli
Spotlight
Thu Dec 10 08:20 AM -- 08:30 AM (PST) @ Orals & Spotlights: Graph/Relational/Theory
Beyond Perturbations: Learning Guarantees with Arbitrary Adversarial Test Examples
In Orals & Spotlights Track 26: Graph/Relational/Theory
Shafi Goldwasser · Adam Tauman Kalai · Yael Kalai · Omar Montasser
Spotlight
Thu Dec 10 08:20 AM -- 08:30 AM (PST) @ Orals & Spotlights: Unsupervised/Probabilistic
DAGs with No Fears: A Closer Look at Continuous Optimization for Learning Bayesian Networks
In Orals & Spotlights Track 27: Unsupervised/Probabilistic
Dennis Wei · Tian Gao · Yue Yu
Spotlight
Thu Dec 10 08:20 AM -- 08:30 AM (PST) @ Orals & Spotlights: Deep Learning
Neural Controlled Differential Equations for Irregular Time Series
In Orals & Spotlights Track 28: Deep Learning
Patrick Kidger · James Morrill · James Foster · Terry Lyons
Spotlight
Thu Dec 10 08:20 AM -- 08:30 AM (PST) @ Orals & Spotlights: Neuroscience
A meta-learning approach to (re)discover plasticity rules that carve a desired function into a neural network
In Orals & Spotlights Track 29: Neuroscience
Basile Confavreux · Friedemann Zenke · Everton Agnes · Timothy Lillicrap · Tim Vogels
Spotlight
Thu Dec 10 08:20 AM -- 08:30 AM (PST) @ Orals & Spotlights: Optimization/Theory
On Uniform Convergence and Low-Norm Interpolation Learning
In Orals & Spotlights Track 30: Optimization/Theory
Lijia Zhou · Danica Sutherland · Danica J. Sutherland · Nati Srebro
Spotlight
Thu Dec 10 08:20 AM -- 08:30 AM (PST) @ Orals & Spotlights: Reinforcement Learning
Learning to Play No-Press Diplomacy with Best Response Policy Iteration
In Orals & Spotlights Track 31: Reinforcement Learning
Thomas Anthony · Tom Eccles · Andrea Tacchetti · János Kramár · Ian Gemp · Thomas Hudson · Nicolas Porcel · Marc Lanctot · Julien Perolat · Richard Everett · Satinder Singh · Thore Graepel · Yoram Bachrach
Spotlight
Thu Dec 10 08:30 AM -- 08:40 AM (PST) @ Orals & Spotlights: Probabilistic Models/Statistics
Testing Determinantal Point Processes
In Orals & Spotlights Track 25: Probabilistic Models/Statistics
Khashayar Gatmiry · Maryam Aliakbarpour · Stefanie Jegelka
Spotlight
Thu Dec 10 07:00 PM -- 07:10 PM (PST) @ Orals & Spotlights: Optimization
Submodular Maximization Through Barrier Functions
In Orals & Spotlights Track 32: Optimization
Ashwinkumar Badanidiyuru · Amin Karbasi · Ehsan Kazemi · Jan Vondrak
Spotlight
Thu Dec 10 07:00 PM -- 07:10 PM (PST) @ Orals & Spotlights: Health/AutoML/(Soft|Hard)ware
A Study on Encodings for Neural Architecture Search
In Orals & Spotlights Track 33: Health/AutoML/(Soft|Hard)ware
Colin White · Willie Neiswanger · Sam Nolen · Yash Savani
Spotlight
Thu Dec 10 07:00 PM -- 07:10 PM (PST) @ Orals & Spotlights: Deep Learning
Generalization bound of globally optimal non-convex neural network training: Transportation map estimation by infinite dimensional Langevin dynamics
In Orals & Spotlights Track 34: Deep Learning
Taiji Suzuki
Spotlight
Thu Dec 10 07:00 PM -- 07:10 PM (PST) @ Orals & Spotlights: Neuroscience/Probabilistic
Learning Some Popular Gaussian Graphical Models without Condition Number Bounds
In Orals & Spotlights Track 35: Neuroscience/Probabilistic
Jonathan Kelner · Frederic Koehler · Raghu Meka · Ankur Moitra
Spotlight
Thu Dec 10 07:10 PM -- 07:20 PM (PST) @ Orals & Spotlights: Optimization
Projection Efficient Subgradient Method and Optimal Nonsmooth Frank-Wolfe Method
In Orals & Spotlights Track 32: Optimization
Kiran Thekumparampil · Prateek Jain · Praneeth Netrapalli · Sewoong Oh
Spotlight
Thu Dec 10 07:10 PM -- 07:20 PM (PST) @ Orals & Spotlights: Health/AutoML/(Soft|Hard)ware
Interstellar: Searching Recurrent Architecture for Knowledge Graph Embedding
In Orals & Spotlights Track 33: Health/AutoML/(Soft|Hard)ware
Yongqi Zhang · Quanming Yao · Lei Chen
Spotlight
Thu Dec 10 07:10 PM -- 07:20 PM (PST) @ Orals & Spotlights: Deep Learning
Kernel Based Progressive Distillation for Adder Neural Networks
In Orals & Spotlights Track 34: Deep Learning
Yixing Xu · Chang Xu · Xinghao Chen · Wei Zhang · Chunjing XU · Yunhe Wang
Spotlight
Thu Dec 10 07:10 PM -- 07:20 PM (PST) @ Orals & Spotlights: Neuroscience/Probabilistic
Sinkhorn Natural Gradient for Generative Models
In Orals & Spotlights Track 35: Neuroscience/Probabilistic
Zebang Shen · Zhenfu Wang · Alejandro Ribeiro · Hamed Hassani
Spotlight
Thu Dec 10 07:20 PM -- 07:30 PM (PST) @ Orals & Spotlights: Optimization
A Single Recipe for Online Submodular Maximization with Adversarial or Stochastic Constraints
In Orals & Spotlights Track 32: Optimization
Omid Sadeghi · Prasanna Raut · Maryam Fazel
Spotlight
Thu Dec 10 07:20 PM -- 07:30 PM (PST) @ Orals & Spotlights: Health/AutoML/(Soft|Hard)ware
Evolving Normalization-Activation Layers
In Orals & Spotlights Track 33: Health/AutoML/(Soft|Hard)ware
Hanxiao Liu · Andy Brock · Karen Simonyan · Quoc V Le
Spotlight
Thu Dec 10 07:20 PM -- 07:30 PM (PST) @ Orals & Spotlights: Deep Learning
What Neural Networks Memorize and Why: Discovering the Long Tail via Influence Estimation
In Orals & Spotlights Track 34: Deep Learning
Vitaly Feldman · Chiyuan Zhang
Spotlight
Thu Dec 10 07:20 PM -- 07:30 PM (PST) @ Orals & Spotlights: Neuroscience/Probabilistic
NVAE: A Deep Hierarchical Variational Autoencoder
In Orals & Spotlights Track 35: Neuroscience/Probabilistic
Arash Vahdat · Jan Kautz
Spotlight
Thu Dec 10 07:30 PM -- 07:40 PM (PST) @ Orals & Spotlights: Optimization
How many samples is a good initial point worth in Low-rank Matrix Recovery?
In Orals & Spotlights Track 32: Optimization
Jialun Zhang · Richard Zhang
Spotlight
Thu Dec 10 07:30 PM -- 07:40 PM (PST) @ Orals & Spotlights: Health/AutoML/(Soft|Hard)ware
Open Graph Benchmark: Datasets for Machine Learning on Graphs
In Orals & Spotlights Track 33: Health/AutoML/(Soft|Hard)ware
Weihua Hu · Matthias Fey · Marinka Zitnik · Yuxiao Dong · Hongyu Ren · Bowen Liu · Michele Catasta · Jure Leskovec
Spotlight
Thu Dec 10 07:30 PM -- 07:40 PM (PST) @ Orals & Spotlights: Deep Learning
Collegial Ensembles
In Orals & Spotlights Track 34: Deep Learning
Etai Littwin · Ben Myara · Sima Sabah · Joshua Susskind · Shuangfei Zhai · Oren Golan
Spotlight
Thu Dec 10 07:30 PM -- 07:40 PM (PST) @ Orals & Spotlights: Neuroscience/Probabilistic
Reciprocal Adversarial Learning via Characteristic Functions
In Orals & Spotlights Track 35: Neuroscience/Probabilistic
Shengxi Li · Zeyang Yu · Min Xiang · Danilo Mandic
Spotlight
Thu Dec 10 07:50 PM -- 08:00 PM (PST) @ Orals & Spotlights: Optimization
Projection Robust Wasserstein Distance and Riemannian Optimization
In Orals & Spotlights Track 32: Optimization
Tianyi Lin · Chenyou Fan · Nhat Ho · Marco Cuturi · Michael Jordan
Spotlight
Thu Dec 10 07:50 PM -- 08:00 PM (PST) @ Orals & Spotlights: Health/AutoML/(Soft|Hard)ware
Nimble: Lightweight and Parallel GPU Task Scheduling for Deep Learning
In Orals & Spotlights Track 33: Health/AutoML/(Soft|Hard)ware
Woosuk Kwon · Gyeong-In Yu · Eunji Jeong · Byung-Gon Chun
Spotlight
Thu Dec 10 07:50 PM -- 08:00 PM (PST) @ Orals & Spotlights: Deep Learning
Finite Versus Infinite Neural Networks: an Empirical Study
In Orals & Spotlights Track 34: Deep Learning
Jaehoon Lee · Samuel Schoenholz · Jeffrey Pennington · Ben Adlam · Lechao Xiao · Roman Novak · Jascha Sohl-Dickstein
Spotlight
Thu Dec 10 07:50 PM -- 08:00 PM (PST) @ Orals & Spotlights: Neuroscience/Probabilistic
Incorporating Interpretable Output Constraints in Bayesian Neural Networks
In Orals & Spotlights Track 35: Neuroscience/Probabilistic
Wanqian Yang · Lars Lorch · Moritz Graule · Himabindu Lakkaraju · Finale Doshi-Velez
Spotlight
Thu Dec 10 08:00 PM -- 08:10 PM (PST) @ Orals & Spotlights: Optimization
A Continuous-Time Mirror Descent Approach to Sparse Phase Retrieval
In Orals & Spotlights Track 32: Optimization
Fan Wu · Patrick Rebeschini
Spotlight
Thu Dec 10 08:00 PM -- 08:10 PM (PST) @ Orals & Spotlights: Health/AutoML/(Soft|Hard)ware
MCUNet: Tiny Deep Learning on IoT Devices
In Orals & Spotlights Track 33: Health/AutoML/(Soft|Hard)ware
Ji Lin · Wei-Ming Chen · Yujun Lin · john cohn · Chuang Gan · Song Han
Spotlight
Thu Dec 10 08:00 PM -- 08:10 PM (PST) @ Orals & Spotlights: Deep Learning
Estimating Training Data Influence by Tracing Gradient Descent
In Orals & Spotlights Track 34: Deep Learning
Garima Pruthi · Frederick Liu · Satyen Kale · Mukund Sundararajan
Spotlight
Thu Dec 10 08:00 PM -- 08:10 PM (PST) @ Orals & Spotlights: Neuroscience/Probabilistic
Baxter Permutation Process
In Orals & Spotlights Track 35: Neuroscience/Probabilistic
Masahiro Nakano · Akisato Kimura · Takeshi Yamada · Naonori Ueda
Spotlight
Thu Dec 10 08:10 PM -- 08:20 PM (PST) @ Orals & Spotlights: Optimization
SGD with shuffling: optimal rates without component convexity and large epoch requirements
In Orals & Spotlights Track 32: Optimization
Kwangjun Ahn · Chulhee Yun · Suvrit Sra
Spotlight
Thu Dec 10 08:10 PM -- 08:20 PM (PST) @ Orals & Spotlights: Health/AutoML/(Soft|Hard)ware
Computing Valid p-value for Optimal Changepoint by Selective Inference using Dynamic Programming
In Orals & Spotlights Track 33: Health/AutoML/(Soft|Hard)ware
Vo Nguyen Le Duy · Hiroki Toda · Ryota Sugiyama · Ichiro Takeuchi
Spotlight
Thu Dec 10 08:10 PM -- 08:20 PM (PST) @ Orals & Spotlights: Deep Learning
AdaBelief Optimizer: Adapting Stepsizes by the Belief in Observed Gradients
In Orals & Spotlights Track 34: Deep Learning
Juntang Zhuang · Tommy Tang · Yifan Ding · Sekhar C Tatikonda · Nicha Dvornek · Xenophon Papademetris · James Duncan
Spotlight
Thu Dec 10 08:10 PM -- 08:20 PM (PST) @ Orals & Spotlights: Neuroscience/Probabilistic
Flexible mean field variational inference using mixtures of non-overlapping exponential families
In Orals & Spotlights Track 35: Neuroscience/Probabilistic
Jeffrey Spence
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Thu Dec 10 08:20 PM -- 08:30 PM (PST) @ Orals & Spotlights: Optimization
No-Regret Learning and Mixed Nash Equilibria: They Do Not Mix
In Orals & Spotlights Track 32: Optimization
Emmanouil-Vasileios Vlatakis-Gkaragkounis · Lampros Flokas · Thanasis Lianeas · Panayotis Mertikopoulos · Georgios Piliouras
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Thu Dec 10 08:20 PM -- 08:30 PM (PST) @ Orals & Spotlights: Deep Learning
Part-dependent Label Noise: Towards Instance-dependent Label Noise
In Orals & Spotlights Track 34: Deep Learning
Xiaobo Xia · Tongliang Liu · Bo Han · Nannan Wang · Mingming Gong · Haifeng Liu · Gang Niu · Dacheng Tao · Masashi Sugiyama