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The 2021 schedule is still incomplete
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Expo Talk Panel
Sun Jul 18 05:00 AM -- 06:00 AM (PDT)
Machine Learning for Addressing Power Grid Congestion
Christopher Davis
Expo Workshop
Sun Jul 18 05:00 AM -- 09:30 AM (PDT)
Real World RL: Azure Personalizer & Vowpal Wabbit
Sheetal Lahabar · Etienne Kintzler · Mark Rucker · Bogdan Mazoure · Qingyun Wu · Pavithra Srinath · Jack Gerrits · Olga Vrousgou · John Langford · Eduardo Salinas
Expo Workshop
Sun Jul 18 05:00 AM -- 09:00 AM (PDT)
High-Quality Data Labeling at Scale with Toloka
Olga Megorskaya · Saiph Savage · Omar Alonso · Daria Baidakova · Dmitry Ustalov · Vladimir Losev · Oleg Pavlov · Kate Saenko
Expo Talk Panel
Sun Jul 18 06:00 AM -- 07:00 AM (PDT)
The latest advances and use-cases in the field of Causal AI
Darko Matovski · Alejandro Ortega Ancel
Expo Talk Panel
Sun Jul 18 07:00 AM -- 08:00 AM (PDT)
Unique Research Opportunities in AI Algorithms, Health, Traffic, and Weather
Johannes Brandstetter · Sepp Hochreiter · Michael Kopp · David P Kreil · Alina Mihai
Expo Talk Panel
Sun Jul 18 08:00 AM -- 09:00 AM (PDT)
Cool Moves: Decoupling physical motions and self-avatar motions in Virtual Reality
Eyal Ofek
Expo Demonstration
Sun Jul 18 09:00 AM -- 10:00 AM (PDT)
Neural Video Codec Demo
Ron Tindall
Expo Talk Panel
Sun Jul 18 10:00 AM -- 11:00 AM (PDT)
IBM Analog Hardware Acceleration Kit
Kaoutar El Maghraoui · Malte J Rasch
Expo Talk Panel
Sun Jul 18 05:00 PM -- 05:59 PM (PDT)
Enterprise-Strength Federated Learning: New Algorithms, New Paradigms, and a Participant-Interactive Demonstration Session
L W · Nathalie Baracaldo · Chaitanya Kumar · Parijat Dube · Mikhail Yurochkin · Theodoros Salonidis · Shiqiang Wang
Expo Workshop
Sun Jul 18 05:00 PM -- 09:00 PM (PDT)
PaddlePaddle-based Deep Learning at Baidu
Dejing Dou · Chenxia Li · Teng Xi · Dingfu Zhou · Tianyi Wu · Xuhong Li · Zhengjie Huang · Guocheng Niu · Ji Liu · Yaqing Wang · Xin Wang · Qianwei Cai
Expo Talk Panel
Sun Jul 18 07:00 PM -- 08:00 PM (PDT)
Graviti Open Datasets: A peek into the future of Open Data
Yunkai Cui · Junbo Zhao
Expo Demonstration
Sun Jul 18 09:00 PM -- 10:00 PM (PDT)
Explainable Entity Matching for Master Data Management
Balaji Ganesan · Soma Shekar Naganna
AffinityWorkshop
Mon Jul 19 08:00 AM -- 05:00 PM (PDT)
LatinX in AI (LXAI) Research at ICML 2021
Maria Luisa Santiago · Miguel Alonso Jr · Laura Montoya · William Berrios · Fiorela Manco Fernández · Diana Diaz · Vinicius Caridá · LOURDES RAMIREZ CERNA · Pedro Braga · Gabriel Ramos · Leonel Rozo · Walter Mayor · Vanessa Gilede · Dennis Núñez Fernández · Erick Mendez Guzman · Paola Cascante-Bonilla
Tutorial
Mon Jul 19 08:00 AM -- 11:05 AM (PDT) @ Virtual
Continual Learning with Deep Architectures
Vincenzo Lomonaco · Irina Rish
[ Slides
Tutorial
Mon Jul 19 08:00 AM -- 11:00 AM (PDT) @ Virtual
Responsible AI in Industry: Practical Challenges and Lessons Learned
Krishnaram Kenthapadi · Ben Packer · Mehrnoosh Sameki · Nashlie Sephus
[ Slides
Tutorial
Mon Jul 19 08:00 AM -- 11:00 AM (PDT)
Synthetic Healthcare Data Generation and Assessment: Challenges, Methods, and Impact on Machine Learning
Ahmed M. Alaa · Mihaela van der Schaar
Tutorial
Mon Jul 19 08:00 AM -- 11:15 AM (PDT)
From ML research to ML products: A path towards building models with real-world impact
Gholamreza Salimi-Khorshidi · Peyman Faratin
Tutorial
Mon Jul 19 08:00 AM -- 11:00 AM (PDT) @ Virtual
Natural-XAI: Explainable AI with Natural Language Explanations
Oana-Maria Camburu · Zeynep Akata
[ Slides
Tutorial
Mon Jul 19 08:00 AM -- 10:59 AM (PDT)
Sparsity in Deep Learning: Pruning and growth for efficient inference and training
Torsten Hoefler · Dan Alistarh
Tutorial
Mon Jul 19 12:00 PM -- 03:00 PM (PDT) @ Virtual
Unsupervised Learning for Reinforcement Learning
Aravind Srinivas · Pieter Abbeel
[ Slides
Tutorial
Mon Jul 19 12:00 PM -- 02:50 PM (PDT)
Social Implications of Large Language Models
Hal Daume · Kate Crawford
Tutorial
Mon Jul 19 12:00 PM -- 03:00 PM (PDT) @ Virtual
Online and non-stochastic control
Elad Hazan · Karan Singh
[ Slides
Tutorial
Mon Jul 19 12:00 PM -- 03:00 PM (PDT) @ Virtual
Random Matrix Theory and ML (RMT+ML)
Fabian Pedregosa · Courtney Paquette · Thomas Trogdon · Jeffrey Pennington
[ Slides
AffinityPosterSession
Mon Jul 19 06:00 PM -- 08:00 PM (PDT)
LatinX in AI, Queer in AI, WiML - Joint Poster Session
Tutorial
Mon Jul 19 08:00 PM -- 10:45 PM (PDT) @ Virtual
Self-Attention for Computer Vision
Aravind Srinivas · Prajit Ramachandran · Ashish Vaswani
[ Slides
Tutorial
Mon Jul 19 08:00 PM -- 11:00 PM (PDT) @ Virtual
Privacy in learning: Basics and the interplay
Huishuai Zhang · Wei Chen
[ Slides
Oral
Tue Jul 20 05:00 AM -- 05:20 AM (PDT)
Deeply-Debiased Off-Policy Interval Estimation
Chengchun Shi · Runzhe Wan · Victor Chernozhukov · Rui Song
Oral
Tue Jul 20 05:00 AM -- 05:20 AM (PDT)
Phasic Policy Gradient
Karl Cobbe · Jacob Hilton · Oleg Klimov · John Schulman
Oral
Tue Jul 20 05:00 AM -- 05:20 AM (PDT)
Scalable Evaluation of Multi-Agent Reinforcement Learning with Melting Pot
Joel Z Leibo · Edgar Duenez-Guzman · Alexander Vezhnevets · John Agapiou · Peter Sunehag · Raphael Koster · Jayd Matyas · Charles Beattie · Igor Mordatch · Thore Graepel
Oral
Tue Jul 20 05:00 AM -- 05:20 AM (PDT)
Scalable Computations of Wasserstein Barycenter via Input Convex Neural Networks
Jiaojiao Fan · Amirhossein Taghvaei · Yongxin Chen
Oral
Tue Jul 20 05:00 AM -- 05:20 AM (PDT)
Relative Positional Encoding for Transformers with Linear Complexity
Antoine Liutkus · Ondřej Cífka · Shih-Lun Wu · Umut Simsekli · Yi-Hsuan Yang · Gaël RICHARD
Oral
Tue Jul 20 05:00 AM -- 05:20 AM (PDT)
Size-Invariant Graph Representations for Graph Classification Extrapolations
Beatrice Bevilacqua · Yangze Zhou · Bruno Ribeiro
Oral
Tue Jul 20 05:00 AM -- 05:20 AM (PDT)
Optimal Complexity in Decentralized Training
Yucheng Lu · Christopher De Sa
Oral
Tue Jul 20 05:00 AM -- 05:20 AM (PDT)
BORE: Bayesian Optimization by Density-Ratio Estimation
Louis Chi-Chun Tiao · Aaron Klein · Matthias W Seeger · Edwin V Bonilla · Cedric Archambeau · Fabio Ramos
Oral
Tue Jul 20 05:00 AM -- 05:20 AM (PDT)
Attention is not all you need: pure attention loses rank doubly exponentially with depth
Yihe Dong · Jean-Baptiste Cordonnier · Andreas Loukas
Spotlight
Tue Jul 20 05:20 AM -- 05:25 AM (PDT)
Navigation Turing Test (NTT): Learning to Evaluate Human-Like Navigation
Sam Devlin · Raluca Georgescu · Ida Momennejad · Jaroslaw Rzepecki · Evelyn Zuniga · Gavin Costello · Guy Leroy · Ali Shaw · Katja Hofmann
Spotlight
Tue Jul 20 05:20 AM -- 05:25 AM (PDT)
AutoSampling: Search for Effective Data Sampling Schedules
MING SUN · Haoxuan Dou · Baopu Li · Junjie Yan · Wanli Ouyang · Lei Cui
Spotlight
Tue Jul 20 05:20 AM -- 05:25 AM (PDT)
Outlier-Robust Optimal Transport
Debarghya Mukherjee · Aritra Guha · Justin Solomon · Yuekai Sun · Mikhail Yurochkin
Spotlight
Tue Jul 20 05:20 AM -- 05:25 AM (PDT)
Consistent Nonparametric Methods for Network Assisted Covariate Estimation
Xueyu Mao · Deepayan Chakrabarti · Purnamrita Sarkar
Spotlight
Tue Jul 20 05:20 AM -- 05:25 AM (PDT)
Stochastic Sign Descent Methods: New Algorithms and Better Theory
Mher Safaryan · Peter Richtarik
Spotlight
Tue Jul 20 05:20 AM -- 05:25 AM (PDT)
Offline Contextual Bandits with Overparameterized Models
David Brandfonbrener · William Whitney · Rajesh Ranganath · Joan Bruna
Spotlight
Tue Jul 20 05:20 AM -- 05:25 AM (PDT)
UneVEn: Universal Value Exploration for Multi-Agent Reinforcement Learning
Tarun Gupta · Anuj Mahajan · Bei Peng · Wendelin Boehmer · Shimon Whiteson
Spotlight
Tue Jul 20 05:20 AM -- 05:25 AM (PDT)
Reinforcement Learning with Prototypical Representations
Denis Yarats · Rob Fergus · Alessandro Lazaric · Lerrel Pinto
Spotlight
Tue Jul 20 05:20 AM -- 05:25 AM (PDT)
A Free Lunch From ANN: Towards Efficient, Accurate Spiking Neural Networks Calibration
Yuhang Li · Shikuang Deng · Xin Dong · Ruihao Gong · Shi Gu
Spotlight
Tue Jul 20 05:25 AM -- 05:30 AM (PDT)
Demonstration-Conditioned Reinforcement Learning for Few-Shot Imitation
Christopher Dance · Perez Julien · Théo Cachet
Spotlight
Tue Jul 20 05:25 AM -- 05:30 AM (PDT)
A Unified Lottery Ticket Hypothesis for Graph Neural Networks
Tianlong Chen · Yongduo Sui · Xuxi Chen · Aston Zhang · Zhangyang Wang
Spotlight
Tue Jul 20 05:25 AM -- 05:30 AM (PDT)
Diversity Actor-Critic: Sample-Aware Entropy Regularization for Sample-Efficient Exploration
Seungyul Han · Youngchul Sung
Spotlight
Tue Jul 20 05:25 AM -- 05:30 AM (PDT)
Bias-Variance Reduced Local SGD for Less Heterogeneous Federated Learning
Tomoya Murata · Taiji Suzuki
Spotlight
Tue Jul 20 05:25 AM -- 05:30 AM (PDT)
Dataset Dynamics via Gradient Flows in Probability Space
David Alvarez-Melis · Nicolo Fusi
Spotlight
Tue Jul 20 05:25 AM -- 05:30 AM (PDT)
Explainable Automated Graph Representation Learning with Hyperparameter Importance
Xin Wang · Shuyi Fan · Kun Kuang · wenwu zhu
Spotlight
Tue Jul 20 05:25 AM -- 05:30 AM (PDT)
Efficient Generative Modelling of Protein Structure Fragments using a Deep Markov Model
Christian Thygesen · Christian Skjødt Steenmans · Ahmad Salim Al-Sibahi · Lys Sanz Moreta · Anders Bundgård Sørensen · Thomas Hamelryck
Spotlight
Tue Jul 20 05:25 AM -- 05:30 AM (PDT)
A Policy Gradient Algorithm for Learning to Learn in Multiagent Reinforcement Learning
Dong Ki Kim · Miao Liu · Matthew Riemer · Chuangchuang Sun · Marwa Abdulhai · Golnaz Habibi · Sebastian Lopez-Cot · Gerald Tesauro · Jonathan How
Spotlight
Tue Jul 20 05:25 AM -- 05:30 AM (PDT)
HardCoRe-NAS: Hard Constrained diffeRentiable Neural Architecture Search
Niv Nayman · Yonathan Aflalo · Asaf Noy · Lihi Zelnik
Spotlight
Tue Jul 20 05:30 AM -- 05:35 AM (PDT)
Exploiting structured data for learning contagious diseases under incomplete testing
Maggie Makar · Lauren R West · David C Hooper · Eric Horvitz · Erica Shenoy · John Guttag
Spotlight
Tue Jul 20 05:30 AM -- 05:35 AM (PDT)
Breaking the Limits of Message Passing Graph Neural Networks
Muhammet Balcilar · Pierre Heroux · Benoit Gauzere · Pascal Vasseur · Sebastien Adam · Paul Honeine
Spotlight
Tue Jul 20 05:30 AM -- 05:35 AM (PDT)
Muesli: Combining Improvements in Policy Optimization
Matteo Hessel · Ivo Danihelka · Fabio Viola · Arthur Guez · Simon Schmitt · Laurent Sifre · Theophane Weber · David Silver · Hado van Hasselt
Spotlight
Tue Jul 20 05:30 AM -- 05:35 AM (PDT)
Generative Adversarial Transformers
Drew A. Hudson · Larry Zitnick
Spotlight
Tue Jul 20 05:30 AM -- 05:35 AM (PDT)
Multi-Agent Training beyond Zero-Sum with Correlated Equilibrium Meta-Solvers
Luke Marris · Paul Muller · Marc Lanctot · Karl Tuyls · Thore Graepel
Spotlight
Tue Jul 20 05:30 AM -- 05:35 AM (PDT)
Bias-Robust Bayesian Optimization via Dueling Bandits
Johannes Kirschner · Andreas Krause
Spotlight
Tue Jul 20 05:30 AM -- 05:35 AM (PDT)
Sliced Iterative Normalizing Flows
Biwei Dai · Uros Seljak
Spotlight
Tue Jul 20 05:30 AM -- 05:35 AM (PDT)
A Hybrid Variance-Reduced Method for Decentralized Stochastic Non-Convex Optimization
Ran Xin · Usman Khan · Soummya Kar
Spotlight
Tue Jul 20 05:30 AM -- 05:35 AM (PDT)
A New Representation of Successor Features for Transfer across Dissimilar Environments
Majid Abdolshah · Hung Le · Thommen Karimpanal George · Sunil Gupta · Santu Rana · Svetha Venkatesh
Spotlight
Tue Jul 20 05:35 AM -- 05:40 AM (PDT)
Strategic Classification Made Practical
Sagi Levanon · Nir Rosenfeld
Spotlight
Tue Jul 20 05:35 AM -- 05:40 AM (PDT)
Evolving Attention with Residual Convolutions
Yujing Wang · Yaming Yang · Jiangang Bai · Mingliang Zhang · Jing Bai · JING YU · Ce Zhang · Gao Huang · Yunhai Tong
Spotlight
Tue Jul 20 05:35 AM -- 05:40 AM (PDT)
Asynchronous Decentralized Optimization With Implicit Stochastic Variance Reduction
Kenta Niwa · Guoqiang Zhang · W. Bastiaan Kleijn · Noboru Harada · Hiroshi Sawada · Akinori Fujino
Spotlight
Tue Jul 20 05:35 AM -- 05:40 AM (PDT)
Zeroth-Order Non-Convex Learning via Hierarchical Dual Averaging
Amélie Héliou · Matthieu Martin · Panayotis Mertikopoulos · Thibaud J Rahier
Spotlight
Tue Jul 20 05:35 AM -- 05:40 AM (PDT)
Low-Rank Sinkhorn Factorization
Meyer Scetbon · Marco Cuturi · Gabriel Peyré
Spotlight
Tue Jul 20 05:35 AM -- 05:40 AM (PDT)
Unsupervised Learning of Visual 3D Keypoints for Control
Boyuan Chen · Pieter Abbeel · Deepak Pathak
Spotlight
Tue Jul 20 05:35 AM -- 05:40 AM (PDT)
Preferential Temporal Difference Learning
Nishanth Anand · Doina Precup
Spotlight
Tue Jul 20 05:35 AM -- 05:40 AM (PDT)
PC-MLP: Model-based Reinforcement Learning with Policy Cover Guided Exploration
Yuda Song · Wen Sun
Spotlight
Tue Jul 20 05:35 AM -- 05:40 AM (PDT)
From Local Structures to Size Generalization in Graph Neural Networks
Gilad Yehudai · Ethan Fetaya · eli meirom · Gal Chechik · Haggai Maron
Spotlight
Tue Jul 20 05:40 AM -- 05:45 AM (PDT)
Large-Margin Contrastive Learning with Distance Polarization Regularizer
Shuo Chen · Gang Niu · Chen Gong · Jun Li · Jian Yang · Masashi Sugiyama
Spotlight
Tue Jul 20 05:40 AM -- 05:45 AM (PDT)
Zoo-Tuning: Adaptive Transfer from A Zoo of Models
Yang Shu · Zhi Kou · Zhangjie Cao · Jianmin Wang · Mingsheng Long
Spotlight
Tue Jul 20 05:40 AM -- 05:45 AM (PDT)
Sparsifying Networks via Subdifferential Inclusion
Sagar Verma · Jean-Christophe Pesquet
Spotlight
Tue Jul 20 05:40 AM -- 05:45 AM (PDT)
On the Optimality of Batch Policy Optimization Algorithms
Chenjun Xiao · Yifan Wu · Jincheng Mei · Bo Dai · Tor Lattimore · Lihong Li · Csaba Szepesvari · Dale Schuurmans
Spotlight
Tue Jul 20 05:40 AM -- 05:45 AM (PDT)
Interpretable Stability Bounds for Spectral Graph Filters
Henry Kenlay · Dorina Thanou · Xiaowen Dong
Spotlight
Tue Jul 20 05:40 AM -- 05:45 AM (PDT)
Unbalanced minibatch Optimal Transport; applications to Domain Adaptation
Kilian Fatras · Thibault Séjourné · Rémi Flamary · Nicolas Courty
Spotlight
Tue Jul 20 05:40 AM -- 05:45 AM (PDT)
Imitation by Predicting Observations
Andrew Jaegle · Yury Sulsky · Arun Ahuja · Jake Bruce · Rob Fergus · Greg Wayne
Spotlight
Tue Jul 20 05:40 AM -- 05:45 AM (PDT)
Learning Task Informed Abstractions
Xiang Fu · Ge Yang · Pulkit Agrawal · Tommi Jaakkola
Spotlight
Tue Jul 20 05:40 AM -- 05:45 AM (PDT)
Newton Method over Networks is Fast up to the Statistical Precision
Amir Daneshmand · Gesualdo Scutari · Pavel Dvurechenskii · Alexander Gasnikov
Q&A
Tue Jul 20 05:45 AM -- 05:50 AM (PDT)
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Tue Jul 20 05:45 AM -- 05:50 AM (PDT)
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Tue Jul 20 05:45 AM -- 05:50 AM (PDT)
Q&A
Spotlight
Tue Jul 20 05:45 AM -- 05:50 AM (PDT)
SPADE: A Spectral Method for Black-Box Adversarial Robustness Evaluation
Wuxinlin Cheng · Chenhui Deng · Zhiqiang Zhao · Yaohui Cai · Zhiru Zhang · Zhuo Feng
Spotlight
Tue Jul 20 05:45 AM -- 05:50 AM (PDT)
Learning Node Representations Using Stationary Flow Prediction on Large Payment and Cash Transaction Networks
Ciwan Ceylan · Salla Franzén · Florian T. Pokorny
Spotlight
Tue Jul 20 05:45 AM -- 05:50 AM (PDT)
UnICORNN: A recurrent model for learning very long time dependencies
T. Konstantin Rusch · Siddhartha Mishra
Spotlight
Tue Jul 20 05:45 AM -- 05:50 AM (PDT)
Making transport more robust and interpretable by moving data through a small number of anchor points
Chi-Heng Lin · Mehdi Azabou · Eva Dyer
Spotlight
Tue Jul 20 05:45 AM -- 05:50 AM (PDT)
State Entropy Maximization with Random Encoders for Efficient Exploration
Younggyo Seo · Lili Chen · Jinwoo Shin · Honglak Lee · Pieter Abbeel · Kimin Lee
Spotlight
Tue Jul 20 05:45 AM -- 05:50 AM (PDT)
Federated Learning under Arbitrary Communication Patterns
Dmitrii Avdiukhin · Shiva Kasiviswanathan
Q&A
Tue Jul 20 05:50 AM -- 05:55 AM (PDT)
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Tue Jul 20 05:50 AM -- 05:55 AM (PDT)
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Tue Jul 20 05:50 AM -- 05:55 AM (PDT)
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Tue Jul 20 05:50 AM -- 05:55 AM (PDT)
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Tue Jul 20 05:50 AM -- 05:55 AM (PDT)
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Tue Jul 20 05:50 AM -- 05:55 AM (PDT)
Q&A
Oral
Tue Jul 20 06:00 AM -- 06:20 AM (PDT)
Let's Agree to Degree: Comparing Graph Convolutional Networks in the Message-Passing Framework
Floris Geerts · Filip Mazowiecki · Guillermo Perez
Oral
Tue Jul 20 06:00 AM -- 06:20 AM (PDT)
Leveraging Sparse Linear Layers for Debuggable Deep Networks
Eric Wong · Shibani Santurkar · Aleksander Madry
Oral
Tue Jul 20 06:00 AM -- 06:20 AM (PDT)
Neural Architecture Search without Training
Joe Mellor · Jack Turner · Amos Storkey · Elliot Crowley
Oral
Tue Jul 20 06:00 AM -- 06:20 AM (PDT)
PAGE: A Simple and Optimal Probabilistic Gradient Estimator for Nonconvex Optimization
Zhize Li · Hongyan Bao · Xiangliang Zhang · Peter Richtarik
Oral
Tue Jul 20 06:00 AM -- 06:20 AM (PDT)
Principled Simplicial Neural Networks for Trajectory Prediction
T. Mitchell Roddenberry · Nicholas Glaze · Santiago Segarra
Oral
Tue Jul 20 06:00 AM -- 06:20 AM (PDT)
Oops I Took A Gradient: Scalable Sampling for Discrete Distributions
Will Grathwohl · Kevin Swersky · Milad Hashemi · David Duvenaud · Chris Maddison
Oral
Tue Jul 20 06:00 AM -- 06:20 AM (PDT)
Risk-Sensitive Reinforcement Learning with Function Approximation: A Debiasing Approach
Yingjie Fei · Zhuoran Yang · Zhaoran Wang
Oral
Tue Jul 20 06:00 AM -- 06:20 AM (PDT)
What Are Bayesian Neural Network Posteriors Really Like?
Pavel Izmailov · Sharad Vikram · Matthew Hoffman · Andrew Wilson
Oral
Tue Jul 20 06:00 AM -- 06:20 AM (PDT)
Variance Reduction via Primal-Dual Accelerated Dual Averaging for Nonsmooth Convex Finite-Sums
Chaobing Song · Stephen Wright · Jelena Diakonikolas
Spotlight
Tue Jul 20 06:20 AM -- 06:25 AM (PDT)
Scalable Marginal Likelihood Estimation for Model Selection in Deep Learning
Alexander Immer · Matthias Bauer · Vincent Fortuin · Gunnar Ratsch · Khan Emtiyaz
Spotlight
Tue Jul 20 06:20 AM -- 06:25 AM (PDT)
Dueling Convex Optimization
Aadirupa Saha · Tomer Koren · Yishay Mansour
Spotlight
Tue Jul 20 06:20 AM -- 06:25 AM (PDT)
Voice2Series: Reprogramming Acoustic Models for Time Series Classification
Huck Yang · Yun-Yun Tsai · Pin-Yu Chen
Spotlight
Tue Jul 20 06:20 AM -- 06:25 AM (PDT)
Fundamental Tradeoffs in Distributionally Adversarial Training
Mohammad Mehrabi · Adel Javanmard · Ryan A. Rossi · Anup Rao · Tung Mai
Spotlight
Tue Jul 20 06:20 AM -- 06:25 AM (PDT)
Multiscale Invertible Generative Networks for High-Dimensional Bayesian Inference
Shumao Zhang · Pengchuan Zhang · Thomas Hou
Spotlight
Tue Jul 20 06:20 AM -- 06:25 AM (PDT)
Model-Free Reinforcement Learning: from Clipped Pseudo-Regret to Sample Complexity
Zhang Zihan · Yuan Zhou · Xiangyang Ji
Spotlight
Tue Jul 20 06:20 AM -- 06:25 AM (PDT)
Is Space-Time Attention All You Need for Video Understanding?
Gedas Bertasius · Heng Wang · Lorenzo Torresani
Spotlight
Tue Jul 20 06:20 AM -- 06:25 AM (PDT)
Projection Robust Wasserstein Barycenters
Minhui Huang · Shiqian Ma · Lifeng Lai
Spotlight
Tue Jul 20 06:20 AM -- 06:25 AM (PDT)
Efficient Differentiable Simulation of Articulated Bodies
Yi-Ling Qiao · Junbang Liang · Vladlen Koltun · Ming Lin
Spotlight
Tue Jul 20 06:25 AM -- 06:30 AM (PDT)
Neuro-algorithmic Policies Enable Fast Combinatorial Generalization
Marin Vlastelica · Michal Rolinek · Georg Martius
Spotlight
Tue Jul 20 06:25 AM -- 06:30 AM (PDT)
On Monotonic Linear Interpolation of Neural Network Parameters
James Lucas · Juhan Bae · Michael Zhang · Stanislav Fort · Richard Zemel · Roger Grosse
Spotlight
Tue Jul 20 06:25 AM -- 06:30 AM (PDT)
Efficient Message Passing for 0–1 ILPs with Binary Decision Diagrams
Jan-Hendrik Lange · Paul Swoboda
Spotlight
Tue Jul 20 06:25 AM -- 06:30 AM (PDT) @ Virtual
Amortized Conditional Normalized Maximum Likelihood: Reliable Out of Distribution Uncertainty Estimation
Aurick Zhou · Sergey Levine
[ Slides
Spotlight
Tue Jul 20 06:25 AM -- 06:30 AM (PDT)
Towards Understanding Learning in Neural Networks with Linear Teachers
Roei Sarussi · Alon Brutzkus · Amir Globerson
Spotlight
Tue Jul 20 06:25 AM -- 06:30 AM (PDT)
GraphDF: A Discrete Flow Model for Molecular Graph Generation
Youzhi Luo · Keqiang Yan · Shuiwang Ji
Spotlight
Tue Jul 20 06:25 AM -- 06:30 AM (PDT)
A Probabilistic Approach to Neural Network Pruning
Xin Qian · Diego Klabjan
Spotlight
Tue Jul 20 06:25 AM -- 06:30 AM (PDT)
Self-Tuning for Data-Efficient Deep Learning
Ximei Wang · Jinghan Gao · Mingsheng Long · Jianmin Wang
Spotlight
Tue Jul 20 06:25 AM -- 06:30 AM (PDT)
Global Optimality Beyond Two Layers: Training Deep ReLU Networks via Convex Programs
Tolga Ergen · Mert Pilanci
Spotlight
Tue Jul 20 06:30 AM -- 06:35 AM (PDT)
Connecting Sphere Manifolds Hierarchically for Regularization
Damien Scieur · Youngsung Kim
Spotlight
Tue Jul 20 06:30 AM -- 06:35 AM (PDT)
Distributionally Robust Optimization with Markovian Data
Mengmeng Li · Tobias Sutter · Daniel Kuhn
Spotlight
Tue Jul 20 06:30 AM -- 06:35 AM (PDT)
Continual Learning in the Teacher-Student Setup: Impact of Task Similarity
Sebastian Lee · Sebastian Goldt · Andrew Saxe
Spotlight
Tue Jul 20 06:30 AM -- 06:35 AM (PDT)
Deep kernel processes
Laurence Aitchison · Adam Yang · Sebastian Ober
Spotlight
Tue Jul 20 06:30 AM -- 06:35 AM (PDT)
How Framelets Enhance Graph Neural Networks
Xuebin Zheng · Bingxin Zhou · Junbin Gao · Yuguang Wang · Pietro Lió · Ming Li · Guido Montufar
Spotlight
Tue Jul 20 06:30 AM -- 06:35 AM (PDT)
PID Accelerated Value Iteration Algorithm
Amir-massoud Farahmand · Mohammad Ghavamzadeh
Spotlight
Tue Jul 20 06:30 AM -- 06:35 AM (PDT)
Hierarchical VAEs Know What They Don’t Know
Jakob D. Havtorn · Jes Frellsen · Søren Hauberg · Lars Maaløe
Spotlight
Tue Jul 20 06:30 AM -- 06:35 AM (PDT)
KNAS: Green Neural Architecture Search
Jingjing Xu · Liang Zhao · Junyang Lin · Rundong Gao · Xu SUN · Hongxia Yang
Spotlight
Tue Jul 20 06:30 AM -- 06:35 AM (PDT)
Parameter-free Locally Accelerated Conditional Gradients
Alejandro Carderera · Jelena Diakonikolas · Cheuk Yin Lin · Sebastian Pokutta
Spotlight
Tue Jul 20 06:35 AM -- 06:40 AM (PDT)
Principal Component Hierarchy for Sparse Quadratic Programs
Robbie Vreugdenhil · Viet Anh Nguyen · Armin Eftekhari · Peyman Mohajerin Esfahani
Spotlight
Tue Jul 20 06:35 AM -- 06:40 AM (PDT)
Controlling Graph Dynamics with Reinforcement Learning and Graph Neural Networks
Eli Meirom · Haggai Maron · Shie Mannor · Gal Chechik
Spotlight
Tue Jul 20 06:35 AM -- 06:40 AM (PDT)
Global inducing point variational posteriors for Bayesian neural networks and deep Gaussian processes
Sebastian Ober · Laurence Aitchison
Spotlight
Tue Jul 20 06:35 AM -- 06:40 AM (PDT)
Federated Continual Learning with Weighted Inter-client Transfer
Jaehong Yoon · Wonyong Jeong · GiWoong Lee · Eunho Yang · Sung Ju Hwang
Spotlight
Tue Jul 20 06:35 AM -- 06:40 AM (PDT)
Acceleration via Fractal Learning Rate Schedules
Naman Agarwal · Surbhi Goel · Cyril Zhang
Spotlight
Tue Jul 20 06:35 AM -- 06:40 AM (PDT)
A Functional Perspective on Learning Symmetric Functions with Neural Networks
Aaron Zweig · Joan Bruna
Spotlight
Tue Jul 20 06:35 AM -- 06:40 AM (PDT)
Order Matters: Probabilistic Modeling of Node Sequence for Graph Generation
Xiaohui Chen · Xu Han · Jiajing Hu · Francisco R Ruiz · Liping Liu
Spotlight
Tue Jul 20 06:35 AM -- 06:40 AM (PDT)
Provably Efficient Learning of Transferable Rewards
Alberto Maria Metelli · Giorgia Ramponi · Alessandro Concetti · Marcello Restelli
Spotlight
Tue Jul 20 06:35 AM -- 06:40 AM (PDT)
Efficient Lottery Ticket Finding: Less Data is More
Zhenyu Zhang · Xuxi Chen · Tianlong Chen · Zhangyang Wang
Spotlight
Tue Jul 20 06:40 AM -- 06:45 AM (PDT)
One-sided Frank-Wolfe algorithms for saddle problems
Vladimir Kolmogorov · Thomas Pock
Spotlight
Tue Jul 20 06:40 AM -- 06:45 AM (PDT)
Self Normalizing Flows
T. Anderson Keller · Jorn Peters · Priyank Jaini · Emiel Hoogeboom · Patrick Forré · Max Welling
Spotlight
Tue Jul 20 06:40 AM -- 06:45 AM (PDT)
Weisfeiler and Lehman Go Topological: Message Passing Simplicial Networks
Cristian Bodnar · Fabrizio Frasca · Yuguang Wang · Nina Otter · Guido Montufar · Pietro Lió · Michael Bronstein
Spotlight
Tue Jul 20 06:40 AM -- 06:45 AM (PDT)
Reinforcement Learning for Cost-Aware Markov Decision Processes
Wesley Suttle · Kaiqing Zhang · Zhuoran Yang · Ji Liu · David N Kraemer
Spotlight
Tue Jul 20 06:40 AM -- 06:45 AM (PDT)
A Novel Sequential Coreset Method for Gradient Descent Algorithms
Jiawei Huang · Ruomin Huang · wenjie liu · Nikolaos Freris · Hu Ding
Spotlight
Tue Jul 20 06:40 AM -- 06:45 AM (PDT)
Bayesian Deep Learning via Subnetwork Inference
Erik Daxberger · Eric Nalisnick · James Allingham · Javier Antorán · Jose Miguel Hernandez-Lobato
Spotlight
Tue Jul 20 06:40 AM -- 06:45 AM (PDT)
Generative Video Transformer: Can Objects be the Words?
Yi-Fu Wu · Jaesik Yoon · Sungjin Ahn
Spotlight
Tue Jul 20 06:40 AM -- 06:45 AM (PDT)
Thinking Like Transformers
Gail Weiss · Yoav Goldberg · Eran Yahav
Spotlight
Tue Jul 20 06:40 AM -- 06:45 AM (PDT)
ConViT: Improving Vision Transformers with Soft Convolutional Inductive Biases
Stéphane d'Ascoli · Hugo Touvron · Matthew Leavitt · Ari Morcos · Giulio Biroli · Levent Sagun
Spotlight
Tue Jul 20 06:45 AM -- 06:50 AM (PDT)
On the Random Conjugate Kernel and Neural Tangent Kernel
Zhengmian Hu · Heng Huang
Spotlight
Tue Jul 20 06:45 AM -- 06:50 AM (PDT)
Generative Particle Variational Inference via Estimation of Functional Gradients
Neale Ratzlaff · Jerry Bai · Fuxin Li · Wei Xu
Spotlight
Tue Jul 20 06:45 AM -- 06:50 AM (PDT)
ConvexVST: A Convex Optimization Approach to Variance-stabilizing Transformation
Mengfan Wang · Boyu Lyu · Guoqiang Yu
Spotlight
Tue Jul 20 06:45 AM -- 06:50 AM (PDT)
Value Alignment Verification
Daniel Brown · Jordan Schneider · Anca Dragan · Scott Niekum
Spotlight
Tue Jul 20 06:45 AM -- 06:50 AM (PDT)
Federated Learning of User Verification Models Without Sharing Embeddings
Hossein Hosseini · Hyunsin Park · Sungrack Yun · Christos Louizos · Joseph B Soriaga · Max Welling
Spotlight
Tue Jul 20 06:45 AM -- 06:50 AM (PDT)
Scalable Optimal Transport in High Dimensions for Graph Distances, Embedding Alignment, and More
Johannes Klicpera · Marten Lienen · Stephan Günnemann
Spotlight
Tue Jul 20 06:45 AM -- 06:50 AM (PDT)
Poisson-Randomised DirBN: Large Mutation is Needed in Dirichlet Belief Networks
Xuhui Fan · Bin Li · Yaqiong Li · Scott SIsson
Spotlight
Tue Jul 20 06:45 AM -- 06:50 AM (PDT)
Provably Strict Generalisation Benefit for Equivariant Models
Bryn Elesedy · Sheheryar Zaidi
Spotlight
Tue Jul 20 06:45 AM -- 06:50 AM (PDT)
Loss Surface Simplexes for Mode Connecting Volumes and Fast Ensembling
Gregory Benton · Wesley Maddox · Sanae Lotfi · Andrew Wilson
Q&A
Tue Jul 20 06:50 AM -- 06:55 AM (PDT)
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Tue Jul 20 06:50 AM -- 06:55 AM (PDT)
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Tue Jul 20 06:50 AM -- 06:55 AM (PDT)
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Tue Jul 20 06:50 AM -- 06:55 AM (PDT)
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Tue Jul 20 06:50 AM -- 06:55 AM (PDT)
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Tue Jul 20 06:50 AM -- 06:55 AM (PDT)
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Tue Jul 20 06:50 AM -- 06:55 AM (PDT)
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Tue Jul 20 06:50 AM -- 06:55 AM (PDT)
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Tue Jul 20 06:50 AM -- 06:55 AM (PDT)
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Oral
Tue Jul 20 07:00 AM -- 07:20 AM (PDT)
Directional Graph Networks
Dominique Beaini · Saro Passaro · Vincent Létourneau · Will Hamilton · Gabriele Corso · Pietro Lió
Oral
Tue Jul 20 07:00 AM -- 07:20 AM (PDT)
World Model as a Graph: Learning Latent Landmarks for Planning
Lunjun Zhang · Ge Yang · Bradly Stadie
Oral
Tue Jul 20 07:00 AM -- 07:20 AM (PDT)
Coach-Player Multi-agent Reinforcement Learning for Dynamic Team Composition
Bo Liu · Qiang Liu · Peter Stone · Animesh Garg · Yuke Zhu · Anima Anandkumar
Oral
Tue Jul 20 07:00 AM -- 07:20 AM (PDT)
OmniNet: Omnidirectional Representations from Transformers
Yi Tay · Mostafa Dehghani · Vamsi Aribandi · Jai Gupta · Philip Pham · Zhen Qin · Dara Bahri · Da-Cheng Juan · Don Metzler
Oral
Tue Jul 20 07:00 AM -- 07:20 AM (PDT)
Spectral Smoothing Unveils Phase Transitions in Hierarchical Variational Autoencoders
Adeel Pervez · Efstratios Gavves
Oral
Tue Jul 20 07:00 AM -- 07:20 AM (PDT)
Skill Discovery for Exploration and Planning using Deep Skill Graphs
Akhil Bagaria · Jason Senthil · George Konidaris
Oral
Tue Jul 20 07:00 AM -- 07:20 AM (PDT)
ViLT: Vision-and-Language Transformer Without Convolution or Region Supervision
Wonjae Kim · Bokyung Son · Ildoo Kim
Oral
Tue Jul 20 07:00 AM -- 07:20 AM (PDT)
Not All Memories are Created Equal: Learning to Forget by Expiring
Sainbayar Sukhbaatar · Da JU · Spencer Poff · Stephen Roller · Arthur Szlam · Jason Weston · Angela Fan
Oral
Tue Jul 20 07:00 AM -- 07:20 AM (PDT)
Stability and Convergence of Stochastic Gradient Clipping: Beyond Lipschitz Continuity and Smoothness
Vien Mai · Mikael Johansson
Spotlight
Tue Jul 20 07:20 AM -- 07:25 AM (PDT)
Learning Curves for Analysis of Deep Networks
Derek Hoiem · Tanmay Gupta · Zhizhong Li · Michal Shlapentokh-Rothman
Spotlight
Tue Jul 20 07:20 AM -- 07:25 AM (PDT)
Learning Bounds for Open-Set Learning
Zhen Fang · Jie Lu · Anjin Liu · Feng Liu · Guangquan Zhang
Spotlight
Tue Jul 20 07:20 AM -- 07:25 AM (PDT)
Riemannian Convex Potential Maps
samuel cohen · Brandon Amos · Yaron Lipman
Spotlight
Tue Jul 20 07:20 AM -- 07:25 AM (PDT)
Positive-Negative Momentum: Manipulating Stochastic Gradient Noise to Improve Generalization
Zeke Xie · Li Yuan · Zhanxing Zhu · Masashi Sugiyama
Spotlight
Tue Jul 20 07:20 AM -- 07:25 AM (PDT)
Revisiting Rainbow: Promoting more insightful and inclusive deep reinforcement learning research
Johan Obando Ceron · Pablo Samuel Castro
Spotlight
Tue Jul 20 07:20 AM -- 07:25 AM (PDT)
Learning Routines for Effective Off-Policy Reinforcement Learning
Edoardo Cetin · Oya Celiktutan
Spotlight
Tue Jul 20 07:20 AM -- 07:25 AM (PDT)
Winograd Algorithm for AdderNet
Wenshuo Li · Hanting Chen · Mingqiang Huang · Xinghao Chen · Chunjing Xu · Yunhe Wang
Spotlight
Tue Jul 20 07:20 AM -- 07:25 AM (PDT)
Boosting the Throughput and Accelerator Utilization of Specialized CNN Inference Beyond Increasing Batch Size
Jack Kosaian · Amar Phanishayee · Matthai Philipose · Debadeepta Dey · Rashmi Vinayak
Spotlight
Tue Jul 20 07:20 AM -- 07:25 AM (PDT)
Tesseract: Tensorised Actors for Multi-Agent Reinforcement Learning
Anuj Mahajan · Mikayel Samvelyan · Lei Mao · Viktor Makoviychuk · Animesh Garg · Jean Kossaifi · Shimon Whiteson · Yuke Zhu · Anima Anandkumar
Spotlight
Tue Jul 20 07:25 AM -- 07:30 AM (PDT)
GLSearch: Maximum Common Subgraph Detection via Learning to Search
Yunsheng Bai · Derek Xu · Yizhou Sun · Wei Wang
Spotlight
Tue Jul 20 07:25 AM -- 07:30 AM (PDT)
A New Formalism, Method and Open Issues for Zero-Shot Coordination
Johannes Treutlein · Michael Dennis · Caspar Oesterheld · Jakob Foerster
Spotlight
Tue Jul 20 07:25 AM -- 07:30 AM (PDT)
Deep Reinforcement Learning amidst Continual Structured Non-Stationarity
Annie Xie · James Harrison · Chelsea Finn
Spotlight
Tue Jul 20 07:25 AM -- 07:30 AM (PDT)
LieTransformer: Equivariant Self-Attention for Lie Groups
Michael Hutchinson · Charline Le Lan · Sheheryar Zaidi · Emilien Dupont · Yee-Whye Teh · Hyunjik Kim
Spotlight
Tue Jul 20 07:25 AM -- 07:30 AM (PDT)
PODS: Policy Optimization via Differentiable Simulation
Miguel Angel Zamora Mora · Momchil Peychev · Sehoon Ha · Martin Vechev · Stelian Coros
Spotlight
Tue Jul 20 07:25 AM -- 07:30 AM (PDT)
Perceiver: General Perception with Iterative Attention
Andrew Jaegle · Felix Axel Gimeno Gil · Andy Brock · Oriol Vinyals · Andrew Zisserman · Joao Carreira
Spotlight
Tue Jul 20 07:25 AM -- 07:30 AM (PDT)
E(n) Equivariant Graph Neural Networks
Víctor Garcia Satorras · Emiel Hoogeboom · Max Welling
Spotlight
Tue Jul 20 07:25 AM -- 07:30 AM (PDT)
Variational Data Assimilation with a Learned Inverse Observation Operator
Thomas Frerix · Dmitrii Kochkov · Jamie Smith · Daniel Cremers · Michael Brenner · Stephan Hoyer
Spotlight
Tue Jul 20 07:25 AM -- 07:30 AM (PDT)
Autoencoding Under Normalization Constraints
Sangwoong Yoon · Yung-Kyun Noh · Frank Chongwoo Park
Spotlight
Tue Jul 20 07:30 AM -- 07:35 AM (PDT)
Learning and Planning in Complex Action Spaces
Thomas Hubert · Julian Schrittwieser · Ioannis Antonoglou · Mohammadamin Barekatain · Simon Schmitt · David Silver
Spotlight
Tue Jul 20 07:30 AM -- 07:35 AM (PDT)
Targeted Data Acquisition for Evolving Negotiation Agents
Minae Kwon · Siddharth Karamcheti · Mariano-Florentino Cuellar · Dorsa Sadigh
Spotlight
Tue Jul 20 07:30 AM -- 07:35 AM (PDT)
Synthesizer: Rethinking Self-Attention for Transformer Models
Yi Tay · Dara Bahri · Don Metzler · Da-Cheng Juan · Zhe Zhao · Che Zheng
Spotlight
Tue Jul 20 07:30 AM -- 07:35 AM (PDT)
PixelTransformer: Sample Conditioned Signal Generation
Shubham Tulsiani · Abhinav Gupta
Spotlight
Tue Jul 20 07:30 AM -- 07:35 AM (PDT)
Fast Projection Onto Convex Smooth Constraints
Ilnura Usmanova · Maryam Kamgarpour · Andreas Krause · Kfir Levy
Spotlight
Tue Jul 20 07:30 AM -- 07:35 AM (PDT)
Offline Reinforcement Learning with Pseudometric Learning
Robert Dadashi · Shideh Rezaeifar · Nino Vieillard · Léonard Hussenot · Olivier Pietquin · Matthieu Geist
Spotlight
Tue Jul 20 07:30 AM -- 07:35 AM (PDT)
"Hey, that's not an ODE": Faster ODE Adjoints via Seminorms
Patrick Kidger · Tian Qi Chen · Terry Lyons
Spotlight
Tue Jul 20 07:30 AM -- 07:35 AM (PDT)
Grid-Functioned Neural Networks
Javier Dehesa · Andrew Vidler · Julian Padget · Christof Lutteroth
Spotlight
Tue Jul 20 07:30 AM -- 07:35 AM (PDT)
Learning Intra-Batch Connections for Deep Metric Learning
Jenny Seidenschwarz · Ismail Elezi · Laura Leal-Taixé
Spotlight
Tue Jul 20 07:35 AM -- 07:40 AM (PDT)
Graph Mixture Density Networks
Federico Errica · Davide Bacciu · Alessio Micheli
Spotlight
Tue Jul 20 07:35 AM -- 07:40 AM (PDT)
Decomposable Submodular Function Minimization via Maximum Flow
Kyriakos Axiotis · Adam Karczmarz · Anish Mukherjee · Piotr Sankowski · Adrian Vladu
Spotlight
Tue Jul 20 07:35 AM -- 07:40 AM (PDT)
Model-Based Reinforcement Learning via Latent-Space Collocation
Oleh Rybkin · Chuning Zhu · Anusha Nagabandi · Kostas Daniilidis · Igor Mordatch · Sergey Levine
Spotlight
Tue Jul 20 07:35 AM -- 07:40 AM (PDT)
Simultaneous Similarity-based Self-Distillation for Deep Metric Learning
Karsten Roth · Timo Milbich · Bjorn Ommer · Joseph Paul Cohen · Marzyeh Ghassemi
Spotlight
Tue Jul 20 07:35 AM -- 07:40 AM (PDT)
EMaQ: Expected-Max Q-Learning Operator for Simple Yet Effective Offline and Online RL
Seyed Kamyar Seyed Ghasemipour · Dale Schuurmans · Shixiang Gu
Spotlight
Tue Jul 20 07:35 AM -- 07:40 AM (PDT)
Generative Adversarial Networks for Markovian Temporal Dynamics: Stochastic Continuous Data Generation
Sung Woo Park · Dong Wook Shu · Junseok Kwon
Spotlight
Tue Jul 20 07:35 AM -- 07:40 AM (PDT)
Slot Machines: Discovering Winning Combinations of Random Weights in Neural Networks
Maxwell M Aladago · Lorenzo Torresani
Spotlight
Tue Jul 20 07:35 AM -- 07:40 AM (PDT)
MSA Transformer
Roshan Rao · Jason Liu · Robert Verkuil · Joshua Meier · John Canny · Pieter Abbeel · Tom Sercu · Alexander Rives
Spotlight
Tue Jul 20 07:35 AM -- 07:40 AM (PDT)
Inverse Constrained Reinforcement Learning
Shehryar Malik · Usman Anwar · Alireza Aghasi · Ali Ahmed
Spotlight
Tue Jul 20 07:40 AM -- 07:45 AM (PDT)
Decision-Making Under Selective Labels: Optimal Finite-Domain Policies and Beyond
Dennis Wei
Spotlight
Tue Jul 20 07:40 AM -- 07:45 AM (PDT)
Momentum Residual Neural Networks
Michael Sander · Pierre Ablin · Mathieu Blondel · Gabriel Peyré
Spotlight
Tue Jul 20 07:40 AM -- 07:45 AM (PDT)
Autoencoder Image Interpolation by Shaping the Latent Space
Alon Oring · Zohar Yakhini · Yacov Hel-Or
Spotlight
Tue Jul 20 07:40 AM -- 07:45 AM (PDT)
Vector Quantized Models for Planning
Sherjil Ozair · Yazhe Li · Ali Razavi · Ioannis Antonoglou · Aäron van den Oord · Oriol Vinyals
Spotlight
Tue Jul 20 07:40 AM -- 07:45 AM (PDT)
Counterfactual Credit Assignment in Model-Free Reinforcement Learning
Thomas Mesnard · Theophane Weber · Fabio Viola · Shantanu Thakoor · Alaa Saade · Anna Harutyunyan · Will Dabney · Thomas Stepleton · Nicolas Heess · Arthur Guez · Eric Moulines · Marcus Hutter · Lars Buesing · Remi Munos
Spotlight
Tue Jul 20 07:40 AM -- 07:45 AM (PDT)
Multiplicative Noise and Heavy Tails in Stochastic Optimization
Liam Hodgkinson · Michael Mahoney
Spotlight
Tue Jul 20 07:40 AM -- 07:45 AM (PDT)
What's in the Box? Exploring the Inner Life of Neural Networks with Robust Rules
Jonas Fischer · Anna Olah · Jilles Vreeken
Spotlight
Tue Jul 20 07:40 AM -- 07:45 AM (PDT)
Unifying Vision-and-Language Tasks via Text Generation
Jaemin Cho · Jie Lei · Hao Tan · Mohit Bansal
Spotlight
Tue Jul 20 07:40 AM -- 07:45 AM (PDT)
Parallelizing Legendre Memory Unit Training
Narsimha Reddy Chilkuri · Chris Eliasmith
Q&A
Tue Jul 20 07:45 AM -- 07:50 AM (PDT)
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Tue Jul 20 07:45 AM -- 07:50 AM (PDT)
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Spotlight
Tue Jul 20 07:45 AM -- 07:50 AM (PDT)
Better Training using Weight-Constrained Stochastic Dynamics
Benedict Leimkuhler · Tiffany Vlaar · Timothée Pouchon · Amos Storkey
Spotlight
Tue Jul 20 07:45 AM -- 07:50 AM (PDT)
Improved Denoising Diffusion Probabilistic Models
Alexander Nichol · Prafulla Dhariwal
Spotlight
Tue Jul 20 07:45 AM -- 07:50 AM (PDT)
LTL2Action: Generalizing LTL Instructions for Multi-Task RL
Pashootan Vaezipoor · Andrew C Li · Rodrigo A Toro Icarte · Sheila McIlraith
Spotlight
Tue Jul 20 07:45 AM -- 07:50 AM (PDT)
Interactive Learning from Activity Description
Khanh Nguyen · Dipendra Misra · Robert Schapire · Miroslav Dudik · Patrick Shafto
Spotlight
Tue Jul 20 07:45 AM -- 07:50 AM (PDT)
Distributed Second Order Methods with Fast Rates and Compressed Communication
Rustem Islamov · Xun Qian · Peter Richtarik
Spotlight
Tue Jul 20 07:45 AM -- 07:50 AM (PDT)
DeepWalking Backwards: From Embeddings Back to Graphs
Sudhanshu Chanpuriya · Cameron Musco · Konstantinos Sotiropoulos · Charalampos Tsourakakis
Spotlight
Tue Jul 20 07:45 AM -- 07:50 AM (PDT)
Neural-Pull: Learning Signed Distance Function from Point clouds by Learning to Pull Space onto Surface
Baorui Ma · Zhizhong Han · Yushen Liu · Matthias Zwicker
Q&A
Tue Jul 20 07:50 AM -- 07:55 AM (PDT)
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Tue Jul 20 07:50 AM -- 07:55 AM (PDT)
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Tue Jul 20 07:50 AM -- 07:55 AM (PDT)
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Tue Jul 20 07:50 AM -- 07:55 AM (PDT)
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Tue Jul 20 07:50 AM -- 07:55 AM (PDT)
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Tue Jul 20 07:50 AM -- 07:55 AM (PDT)
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Tue Jul 20 07:50 AM -- 07:55 AM (PDT)
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AffinityWorkshop
Tue Jul 20 08:00 AM -- 05:00 PM (PDT)
Queer in AI Workshop
Arjun Subramonian · Sharvani Jha · Vishakha Agrawal · Juan Pajaro Velasquez · MaryLena Bleile · Michelle Julia Ng
Invited Talk
Tue Jul 20 08:00 AM -- 09:00 AM (PDT)
Rethinking Drug Discovery in the Era of Digital Biology
Daphne Koller
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Graph Mixture Density Networks
Federico Errica · Davide Bacciu · Alessio Micheli
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Learning Node Representations Using Stationary Flow Prediction on Large Payment and Cash Transaction Networks
Ciwan Ceylan · Salla Franzén · Florian T. Pokorny
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Scalable Computations of Wasserstein Barycenter via Input Convex Neural Networks
Jiaojiao Fan · Amirhossein Taghvaei · Yongxin Chen
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Stability and Convergence of Stochastic Gradient Clipping: Beyond Lipschitz Continuity and Smoothness
Vien Mai · Mikael Johansson
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Winograd Algorithm for AdderNet
Wenshuo Li · Hanting Chen · Mingqiang Huang · Xinghao Chen · Chunjing Xu · Yunhe Wang
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Zeroth-Order Non-Convex Learning via Hierarchical Dual Averaging
Amélie Héliou · Matthieu Martin · Panayotis Mertikopoulos · Thibaud J Rahier
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Directional Graph Networks
Dominique Beaini · Saro Passaro · Vincent Létourneau · Will Hamilton · Gabriele Corso · Pietro Lió
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Learning Bounds for Open-Set Learning
Zhen Fang · Jie Lu · Anjin Liu · Feng Liu · Guangquan Zhang
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Voice2Series: Reprogramming Acoustic Models for Time Series Classification
Huck Yang · Yun-Yun Tsai · Pin-Yu Chen
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Scalable Optimal Transport in High Dimensions for Graph Distances, Embedding Alignment, and More
Johannes Klicpera · Marten Lienen · Stephan Günnemann
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Learning Intra-Batch Connections for Deep Metric Learning
Jenny Seidenschwarz · Ismail Elezi · Laura Leal-Taixé
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Consistent Nonparametric Methods for Network Assisted Covariate Estimation
Xueyu Mao · Deepayan Chakrabarti · Purnamrita Sarkar
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Targeted Data Acquisition for Evolving Negotiation Agents
Minae Kwon · Siddharth Karamcheti · Mariano-Florentino Cuellar · Dorsa Sadigh
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Momentum Residual Neural Networks
Michael Sander · Pierre Ablin · Mathieu Blondel · Gabriel Peyré
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Learning Task Informed Abstractions
Xiang Fu · Ge Yang · Pulkit Agrawal · Tommi Jaakkola
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
A Functional Perspective on Learning Symmetric Functions with Neural Networks
Aaron Zweig · Joan Bruna
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Bayesian Deep Learning via Subnetwork Inference
Erik Daxberger · Eric Nalisnick · James Allingham · Javier Antorán · Jose Miguel Hernandez-Lobato
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
UnICORNN: A recurrent model for learning very long time dependencies
T. Konstantin Rusch · Siddhartha Mishra
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Interactive Learning from Activity Description
Khanh Nguyen · Dipendra Misra · Robert Schapire · Miroslav Dudik · Patrick Shafto
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Decentralized Riemannian Gradient Descent on the Stiefel Manifold
Shixiang Chen · Alfredo Garcia · Mingyi Hong · Shahin Shahrampour
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
PID Accelerated Value Iteration Algorithm
Amir-massoud Farahmand · Mohammad Ghavamzadeh
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Multiplicative Noise and Heavy Tails in Stochastic Optimization
Liam Hodgkinson · Michael Mahoney
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Amortized Conditional Normalized Maximum Likelihood: Reliable Out of Distribution Uncertainty Estimation
Aurick Zhou · Sergey Levine
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Not All Memories are Created Equal: Learning to Forget by Expiring
Sainbayar Sukhbaatar · Da JU · Spencer Poff · Stephen Roller · Arthur Szlam · Jason Weston · Angela Fan
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Decision-Making Under Selective Labels: Optimal Finite-Domain Policies and Beyond
Dennis Wei
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Inverse Constrained Reinforcement Learning
Shehryar Malik · Usman Anwar · Alireza Aghasi · Ali Ahmed
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Unsupervised Learning of Visual 3D Keypoints for Control
Boyuan Chen · Pieter Abbeel · Deepak Pathak
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Demonstration-Conditioned Reinforcement Learning for Few-Shot Imitation
Christopher Dance · Perez Julien · Théo Cachet
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Breaking the Limits of Message Passing Graph Neural Networks
Muhammet Balcilar · Pierre Heroux · Benoit Gauzere · Pascal Vasseur · Sebastien Adam · Paul Honeine
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Global Optimality Beyond Two Layers: Training Deep ReLU Networks via Convex Programs
Tolga Ergen · Mert Pilanci
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
PixelTransformer: Sample Conditioned Signal Generation
Shubham Tulsiani · Abhinav Gupta
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Muesli: Combining Improvements in Policy Optimization
Matteo Hessel · Ivo Danihelka · Fabio Viola · Arthur Guez · Simon Schmitt · Laurent Sifre · Theophane Weber · David Silver · Hado van Hasselt
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Provably Strict Generalisation Benefit for Equivariant Models
Bryn Elesedy · Sheheryar Zaidi
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Unbalanced minibatch Optimal Transport; applications to Domain Adaptation
Kilian Fatras · Thibault Séjourné · Rémi Flamary · Nicolas Courty
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Connecting Sphere Manifolds Hierarchically for Regularization
Damien Scieur · Youngsung Kim
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
PAGE: A Simple and Optimal Probabilistic Gradient Estimator for Nonconvex Optimization
Zhize Li · Hongyan Bao · Xiangliang Zhang · Peter Richtarik
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Unifying Vision-and-Language Tasks via Text Generation
Jaemin Cho · Jie Lei · Hao Tan · Mohit Bansal
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Generative Video Transformer: Can Objects be the Words?
Yi-Fu Wu · Jaesik Yoon · Sungjin Ahn
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Tesseract: Tensorised Actors for Multi-Agent Reinforcement Learning
Anuj Mahajan · Mikayel Samvelyan · Lei Mao · Viktor Makoviychuk · Animesh Garg · Jean Kossaifi · Shimon Whiteson · Yuke Zhu · Anima Anandkumar
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Projection Robust Wasserstein Barycenters
Minhui Huang · Shiqian Ma · Lifeng Lai
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Vector Quantized Models for Planning
Sherjil Ozair · Yazhe Li · Ali Razavi · Ioannis Antonoglou · Aäron van den Oord · Oriol Vinyals
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Principled Simplicial Neural Networks for Trajectory Prediction
T. Mitchell Roddenberry · Nicholas Glaze · Santiago Segarra
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
OmniNet: Omnidirectional Representations from Transformers
Yi Tay · Mostafa Dehghani · Vamsi Aribandi · Jai Gupta · Philip Pham · Zhen Qin · Dara Bahri · Da-Cheng Juan · Don Metzler
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Attention is not all you need: pure attention loses rank doubly exponentially with depth
Yihe Dong · Jean-Baptiste Cordonnier · Andreas Loukas
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
"Hey, that's not an ODE": Faster ODE Adjoints via Seminorms
Patrick Kidger · Tian Qi Chen · Terry Lyons
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Preferential Temporal Difference Learning
Nishanth Anand · Doina Precup
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Evolving Attention with Residual Convolutions
Yujing Wang · Yaming Yang · Jiangang Bai · Mingliang Zhang · Jing Bai · JING YU · Ce Zhang · Gao Huang · Yunhai Tong
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Offline Contextual Bandits with Overparameterized Models
David Brandfonbrener · William Whitney · Rajesh Ranganath · Joan Bruna
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Decomposable Submodular Function Minimization via Maximum Flow
Kyriakos Axiotis · Adam Karczmarz · Anish Mukherjee · Piotr Sankowski · Adrian Vladu
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
A Unified Lottery Ticket Hypothesis for Graph Neural Networks
Tianlong Chen · Yongduo Sui · Xuxi Chen · Aston Zhang · Zhangyang Wang
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
MC-LSTM: Mass-Conserving LSTM
Pieter-Jan Hoedt · Frederik Kratzert · Daniel Klotz · Christina Halmich · Markus Holzleitner · Grey Nearing · Sepp Hochreiter · Günter Klambauer
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Improved Denoising Diffusion Probabilistic Models
Alexander Nichol · Prafulla Dhariwal
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
On the Optimality of Batch Policy Optimization Algorithms
Chenjun Xiao · Yifan Wu · Jincheng Mei · Bo Dai · Tor Lattimore · Lihong Li · Csaba Szepesvari · Dale Schuurmans
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Making transport more robust and interpretable by moving data through a small number of anchor points
Chi-Heng Lin · Mehdi Azabou · Eva Dyer
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
MSA Transformer
Roshan Rao · Jason Liu · Robert Verkuil · Joshua Meier · John Canny · Pieter Abbeel · Tom Sercu · Alexander Rives
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
SPADE: A Spectral Method for Black-Box Adversarial Robustness Evaluation
Wuxinlin Cheng · Chenhui Deng · Zhiqiang Zhao · Yaohui Cai · Zhiru Zhang · Zhuo Feng
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
How Framelets Enhance Graph Neural Networks
Xuebin Zheng · Bingxin Zhou · Junbin Gao · Yuguang Wang · Pietro Lió · Ming Li · Guido Montufar
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Distributed Second Order Methods with Fast Rates and Compressed Communication
Rustem Islamov · Xun Qian · Peter Richtarik
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Dataset Dynamics via Gradient Flows in Probability Space
David Alvarez-Melis · Nicolo Fusi
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Boosting the Throughput and Accelerator Utilization of Specialized CNN Inference Beyond Increasing Batch Size
Jack Kosaian · Amar Phanishayee · Matthai Philipose · Debadeepta Dey · Rashmi Vinayak
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Neural Symbolic Regression that scales
Luca Biggio · Tommaso Bendinelli · Alexander Neitz · Aurelien Lucchi · Giambattista Parascandolo
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Global inducing point variational posteriors for Bayesian neural networks and deep Gaussian processes
Sebastian Ober · Laurence Aitchison
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Autoencoder Image Interpolation by Shaping the Latent Space
Alon Oring · Zohar Yakhini · Yacov Hel-Or
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
A Probabilistic Approach to Neural Network Pruning
Xin Qian · Diego Klabjan
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Controlling Graph Dynamics with Reinforcement Learning and Graph Neural Networks
Eli Meirom · Haggai Maron · Shie Mannor · Gal Chechik
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Risk-Sensitive Reinforcement Learning with Function Approximation: A Debiasing Approach
Yingjie Fei · Zhuoran Yang · Zhaoran Wang
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
AutoSampling: Search for Effective Data Sampling Schedules
MING SUN · Haoxuan Dou · Baopu Li · Junjie Yan · Wanli Ouyang · Lei Cui
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Counterfactual Credit Assignment in Model-Free Reinforcement Learning
Thomas Mesnard · Theophane Weber · Fabio Viola · Shantanu Thakoor · Alaa Saade · Anna Harutyunyan · Will Dabney · Thomas Stepleton · Nicolas Heess · Arthur Guez · Eric Moulines · Marcus Hutter · Lars Buesing · Remi Munos
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Parallelizing Legendre Memory Unit Training
Narsimha Reddy Chilkuri · Chris Eliasmith
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Federated Learning under Arbitrary Communication Patterns
Dmitrii Avdiukhin · Shiva Kasiviswanathan
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Neural-Pull: Learning Signed Distance Function from Point clouds by Learning to Pull Space onto Surface
Baorui Ma · Zhizhong Han · Yushen Liu · Matthias Zwicker
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Neuro-algorithmic Policies Enable Fast Combinatorial Generalization
Marin Vlastelica · Michal Rolinek · Georg Martius
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Loss Surface Simplexes for Mode Connecting Volumes and Fast Ensembling
Gregory Benton · Wesley Maddox · Sanae Lotfi · Andrew Wilson
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
EMaQ: Expected-Max Q-Learning Operator for Simple Yet Effective Offline and Online RL
Seyed Kamyar Seyed Ghasemipour · Dale Schuurmans · Shixiang Gu
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Simultaneous Similarity-based Self-Distillation for Deep Metric Learning
Karsten Roth · Timo Milbich · Bjorn Ommer · Joseph Paul Cohen · Marzyeh Ghassemi
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
A Policy Gradient Algorithm for Learning to Learn in Multiagent Reinforcement Learning
Dong Ki Kim · Miao Liu · Matthew Riemer · Chuangchuang Sun · Marwa Abdulhai · Golnaz Habibi · Sebastian Lopez-Cot · Gerald Tesauro · Jonathan How
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Towards Understanding Learning in Neural Networks with Linear Teachers
Roei Sarussi · Alon Brutzkus · Amir Globerson
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Imitation by Predicting Observations
Andrew Jaegle · Yury Sulsky · Arun Ahuja · Jake Bruce · Rob Fergus · Greg Wayne
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
GraphDF: A Discrete Flow Model for Molecular Graph Generation
Youzhi Luo · Keqiang Yan · Shuiwang Ji
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
A New Representation of Successor Features for Transfer across Dissimilar Environments
Majid Abdolshah · Hung Le · Thommen Karimpanal George · Sunil Gupta · Santu Rana · Svetha Venkatesh
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Bias-Variance Reduced Local SGD for Less Heterogeneous Federated Learning
Tomoya Murata · Taiji Suzuki
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
UneVEn: Universal Value Exploration for Multi-Agent Reinforcement Learning
Tarun Gupta · Anuj Mahajan · Bei Peng · Wendelin Boehmer · Shimon Whiteson
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Learning and Planning in Complex Action Spaces
Thomas Hubert · Julian Schrittwieser · Ioannis Antonoglou · Mohammadamin Barekatain · Simon Schmitt · David Silver
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
LTL2Action: Generalizing LTL Instructions for Multi-Task RL
Pashootan Vaezipoor · Andrew C Li · Rodrigo A Toro Icarte · Sheila McIlraith
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Skill Discovery for Exploration and Planning using Deep Skill Graphs
Akhil Bagaria · Jason Senthil · George Konidaris
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Dueling Convex Optimization
Aadirupa Saha · Tomer Koren · Yishay Mansour
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Let's Agree to Degree: Comparing Graph Convolutional Networks in the Message-Passing Framework
Floris Geerts · Filip Mazowiecki · Guillermo Perez
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
From Local Structures to Size Generalization in Graph Neural Networks
Gilad Yehudai · Ethan Fetaya · eli meirom · Gal Chechik · Haggai Maron
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Learning Curves for Analysis of Deep Networks
Derek Hoiem · Tanmay Gupta · Zhizhong Li · Michal Shlapentokh-Rothman
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
ConViT: Improving Vision Transformers with Soft Convolutional Inductive Biases
Stéphane d'Ascoli · Hugo Touvron · Matthew Leavitt · Ari Morcos · Giulio Biroli · Levent Sagun
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Self Normalizing Flows
T. Anderson Keller · Jorn Peters · Priyank Jaini · Emiel Hoogeboom · Patrick Forré · Max Welling
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Outlier-Robust Optimal Transport
Debarghya Mukherjee · Aritra Guha · Justin Solomon · Yuekai Sun · Mikhail Yurochkin
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
HardCoRe-NAS: Hard Constrained diffeRentiable Neural Architecture Search
Niv Nayman · Yonathan Aflalo · Asaf Noy · Lihi Zelnik
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Deeply-Debiased Off-Policy Interval Estimation
Chengchun Shi · Runzhe Wan · Victor Chernozhukov · Rui Song
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Explainable Automated Graph Representation Learning with Hyperparameter Importance
Xin Wang · Shuyi Fan · Kun Kuang · wenwu zhu
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Perceiver: General Perception with Iterative Attention
Andrew Jaegle · Felix Axel Gimeno Gil · Andy Brock · Oriol Vinyals · Andrew Zisserman · Joao Carreira
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Riemannian Convex Potential Maps
samuel cohen · Brandon Amos · Yaron Lipman
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Distributionally Robust Optimization with Markovian Data
Mengmeng Li · Tobias Sutter · Daniel Kuhn
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Efficient Message Passing for 0–1 ILPs with Binary Decision Diagrams
Jan-Hendrik Lange · Paul Swoboda
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Poisson-Randomised DirBN: Large Mutation is Needed in Dirichlet Belief Networks
Xuhui Fan · Bin Li · Yaqiong Li · Scott SIsson
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Efficient Lottery Ticket Finding: Less Data is More
Zhenyu Zhang · Xuxi Chen · Tianlong Chen · Zhangyang Wang
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Fast Projection Onto Convex Smooth Constraints
Ilnura Usmanova · Maryam Kamgarpour · Andreas Krause · Kfir Levy
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Deep Reinforcement Learning amidst Continual Structured Non-Stationarity
Annie Xie · James Harrison · Chelsea Finn
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Federated Continual Learning with Weighted Inter-client Transfer
Jaehong Yoon · Wonyong Jeong · GiWoong Lee · Eunho Yang · Sung Ju Hwang
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Weisfeiler and Lehman Go Topological: Message Passing Simplicial Networks
Cristian Bodnar · Fabrizio Frasca · Yuguang Wang · Nina Otter · Guido Montufar · Pietro Lió · Michael Bronstein
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Reinforcement Learning with Prototypical Representations
Denis Yarats · Rob Fergus · Alessandro Lazaric · Lerrel Pinto
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
A Free Lunch From ANN: Towards Efficient, Accurate Spiking Neural Networks Calibration
Yuhang Li · Shikuang Deng · Xin Dong · Ruihao Gong · Shi Gu
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
What's in the Box? Exploring the Inner Life of Neural Networks with Robust Rules
Jonas Fischer · Anna Olah · Jilles Vreeken
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
A Hybrid Variance-Reduced Method for Decentralized Stochastic Non-Convex Optimization
Ran Xin · Usman Khan · Soummya Kar
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
ConvexVST: A Convex Optimization Approach to Variance-stabilizing Transformation
Mengfan Wang · Boyu Lyu · Guoqiang Yu
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Model-Free Reinforcement Learning: from Clipped Pseudo-Regret to Sample Complexity
Zhang Zihan · Yuan Zhou · Xiangyang Ji
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Spectral Smoothing Unveils Phase Transitions in Hierarchical Variational Autoencoders
Adeel Pervez · Efstratios Gavves
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
A New Formalism, Method and Open Issues for Zero-Shot Coordination
Johannes Treutlein · Michael Dennis · Caspar Oesterheld · Jakob Foerster
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Multiscale Invertible Generative Networks for High-Dimensional Bayesian Inference
Shumao Zhang · Pengchuan Zhang · Thomas Hou
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Autoencoding Under Normalization Constraints
Sangwoong Yoon · Yung-Kyun Noh · Frank Chongwoo Park
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Deep kernel processes
Laurence Aitchison · Adam Yang · Sebastian Ober
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Variance Reduction via Primal-Dual Accelerated Dual Averaging for Nonsmooth Convex Finite-Sums
Chaobing Song · Stephen Wright · Jelena Diakonikolas
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Self-Tuning for Data-Efficient Deep Learning
Ximei Wang · Jinghan Gao · Mingsheng Long · Jianmin Wang
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
What Are Bayesian Neural Network Posteriors Really Like?
Pavel Izmailov · Sharad Vikram · Matthew Hoffman · Andrew Wilson
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Slot Machines: Discovering Winning Combinations of Random Weights in Neural Networks
Maxwell M Aladago · Lorenzo Torresani
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
World Model as a Graph: Learning Latent Landmarks for Planning
Lunjun Zhang · Ge Yang · Bradly Stadie
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
On Monotonic Linear Interpolation of Neural Network Parameters
James Lucas · Juhan Bae · Michael Zhang · Stanislav Fort · Richard Zemel · Roger Grosse
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Scalable Evaluation of Multi-Agent Reinforcement Learning with Melting Pot
Joel Z Leibo · Edgar Duenez-Guzman · Alexander Vezhnevets · John Agapiou · Peter Sunehag · Raphael Koster · Jayd Matyas · Charles Beattie · Igor Mordatch · Thore Graepel
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Newton Method over Networks is Fast up to the Statistical Precision
Amir Daneshmand · Gesualdo Scutari · Pavel Dvurechenskii · Alexander Gasnikov
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Low-Rank Sinkhorn Factorization
Meyer Scetbon · Marco Cuturi · Gabriel Peyré
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
PODS: Policy Optimization via Differentiable Simulation
Miguel Angel Zamora Mora · Momchil Peychev · Sehoon Ha · Martin Vechev · Stelian Coros
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Reinforcement Learning for Cost-Aware Markov Decision Processes
Wesley Suttle · Kaiqing Zhang · Zhuoran Yang · Ji Liu · David N Kraemer
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Efficient Generative Modelling of Protein Structure Fragments using a Deep Markov Model
Christian Thygesen · Christian Skjødt Steenmans · Ahmad Salim Al-Sibahi · Lys Sanz Moreta · Anders Bundgård Sørensen · Thomas Hamelryck
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Variational Data Assimilation with a Learned Inverse Observation Operator
Thomas Frerix · Dmitrii Kochkov · Jamie Smith · Daniel Cremers · Michael Brenner · Stephan Hoyer
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Parameter-free Locally Accelerated Conditional Gradients
Alejandro Carderera · Jelena Diakonikolas · Cheuk Yin Lin · Sebastian Pokutta
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
State Entropy Maximization with Random Encoders for Efficient Exploration
Younggyo Seo · Lili Chen · Jinwoo Shin · Honglak Lee · Pieter Abbeel · Kimin Lee
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Large-Margin Contrastive Learning with Distance Polarization Regularizer
Shuo Chen · Gang Niu · Chen Gong · Jun Li · Jian Yang · Masashi Sugiyama
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Relative Positional Encoding for Transformers with Linear Complexity
Antoine Liutkus · Ondřej Cífka · Shih-Lun Wu · Umut Simsekli · Yi-Hsuan Yang · Gaël RICHARD
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Positive-Negative Momentum: Manipulating Stochastic Gradient Noise to Improve Generalization
Zeke Xie · Li Yuan · Zhanxing Zhu · Masashi Sugiyama
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Better Training using Weight-Constrained Stochastic Dynamics
Benedict Leimkuhler · Tiffany Vlaar · Timothée Pouchon · Amos Storkey
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Exploiting structured data for learning contagious diseases under incomplete testing
Maggie Makar · Lauren R West · David C Hooper · Eric Horvitz · Erica Shenoy · John Guttag
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Stochastic Sign Descent Methods: New Algorithms and Better Theory
Mher Safaryan · Peter Richtarik
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Federated Learning of User Verification Models Without Sharing Embeddings
Hossein Hosseini · Hyunsin Park · Sungrack Yun · Christos Louizos · Joseph B Soriaga · Max Welling
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
PC-MLP: Model-based Reinforcement Learning with Policy Cover Guided Exploration
Yuda Song · Wen Sun
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Size-Invariant Graph Representations for Graph Classification Extrapolations
Beatrice Bevilacqua · Yangze Zhou · Bruno Ribeiro
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Neural Architecture Search without Training
Joe Mellor · Jack Turner · Amos Storkey · Elliot Crowley
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Generative Adversarial Transformers
Drew A. Hudson · Larry Zitnick
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Acceleration via Fractal Learning Rate Schedules
Naman Agarwal · Surbhi Goel · Cyril Zhang
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
NeRF-VAE: A Geometry Aware 3D Scene Generative Model
Adam Kosiorek · Heiko Strathmann · Daniel Zoran · Pol Moreno · Rosalia Schneider · Sona Mokra · Danilo J. Rezende
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Learning Routines for Effective Off-Policy Reinforcement Learning
Edoardo Cetin · Oya Celiktutan
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
LieTransformer: Equivariant Self-Attention for Lie Groups
Michael Hutchinson · Charline Le Lan · Sheheryar Zaidi · Emilien Dupont · Yee-Whye Teh · Hyunjik Kim
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Revisiting Rainbow: Promoting more insightful and inclusive deep reinforcement learning research
Johan Obando Ceron · Pablo Samuel Castro
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Strategic Classification Made Practical
Sagi Levanon · Nir Rosenfeld
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Multi-Agent Training beyond Zero-Sum with Correlated Equilibrium Meta-Solvers
Luke Marris · Paul Muller · Marc Lanctot · Karl Tuyls · Thore Graepel
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Leveraging Sparse Linear Layers for Debuggable Deep Networks
Eric Wong · Shibani Santurkar · Aleksander Madry
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Thinking Like Transformers
Gail Weiss · Yoav Goldberg · Eran Yahav
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Sliced Iterative Normalizing Flows
Biwei Dai · Uros Seljak
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Asynchronous Decentralized Optimization With Implicit Stochastic Variance Reduction
Kenta Niwa · Guoqiang Zhang · W. Bastiaan Kleijn · Noboru Harada · Hiroshi Sawada · Akinori Fujino
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Phasic Policy Gradient
Karl Cobbe · Jacob Hilton · Oleg Klimov · John Schulman
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
On the Random Conjugate Kernel and Neural Tangent Kernel
Zhengmian Hu · Heng Huang
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Model-Based Reinforcement Learning via Latent-Space Collocation
Oleh Rybkin · Chuning Zhu · Anusha Nagabandi · Kostas Daniilidis · Igor Mordatch · Sergey Levine
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Grid-Functioned Neural Networks
Javier Dehesa · Andrew Vidler · Julian Padget · Christof Lutteroth
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Continual Learning in the Teacher-Student Setup: Impact of Task Similarity
Sebastian Lee · Sebastian Goldt · Andrew Saxe
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
DeepWalking Backwards: From Embeddings Back to Graphs
Sudhanshu Chanpuriya · Cameron Musco · Konstantinos Sotiropoulos · Charalampos Tsourakakis
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
KNAS: Green Neural Architecture Search
Jingjing Xu · Liang Zhao · Junyang Lin · Rundong Gao · Xu SUN · Hongxia Yang
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
ViLT: Vision-and-Language Transformer Without Convolution or Region Supervision
Wonjae Kim · Bokyung Son · Ildoo Kim
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Is Space-Time Attention All You Need for Video Understanding?
Gedas Bertasius · Heng Wang · Lorenzo Torresani
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
A Novel Sequential Coreset Method for Gradient Descent Algorithms
Jiawei Huang · Ruomin Huang · wenjie liu · Nikolaos Freris · Hu Ding
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
BORE: Bayesian Optimization by Density-Ratio Estimation
Louis Chi-Chun Tiao · Aaron Klein · Matthias W Seeger · Edwin V Bonilla · Cedric Archambeau · Fabio Ramos
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Decoupling Value and Policy for Generalization in Reinforcement Learning
Roberta Raileanu · Rob Fergus
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Hierarchical VAEs Know What They Don’t Know
Jakob D. Havtorn · Jes Frellsen · Søren Hauberg · Lars Maaløe
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Diversity Actor-Critic: Sample-Aware Entropy Regularization for Sample-Efficient Exploration
Seungyul Han · Youngchul Sung
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Bias-Robust Bayesian Optimization via Dueling Bandits
Johannes Kirschner · Andreas Krause
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Fundamental Tradeoffs in Distributionally Adversarial Training
Mohammad Mehrabi · Adel Javanmard · Ryan A. Rossi · Anup Rao · Tung Mai
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Generative Adversarial Networks for Markovian Temporal Dynamics: Stochastic Continuous Data Generation
Sung Woo Park · Dong Wook Shu · Junseok Kwon
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
E(n) Equivariant Graph Neural Networks
Víctor Garcia Satorras · Emiel Hoogeboom · Max Welling
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Navigation Turing Test (NTT): Learning to Evaluate Human-Like Navigation
Sam Devlin · Raluca Georgescu · Ida Momennejad · Jaroslaw Rzepecki · Evelyn Zuniga · Gavin Costello · Guy Leroy · Ali Shaw · Katja Hofmann
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Principal Component Hierarchy for Sparse Quadratic Programs
Robbie Vreugdenhil · Viet Anh Nguyen · Armin Eftekhari · Peyman Mohajerin Esfahani
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Offline Reinforcement Learning with Pseudometric Learning
Robert Dadashi · Shideh Rezaeifar · Nino Vieillard · Léonard Hussenot · Olivier Pietquin · Matthieu Geist
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Efficient Differentiable Simulation of Articulated Bodies
Yi-Ling Qiao · Junbang Liang · Vladlen Koltun · Ming Lin
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Interpretable Stability Bounds for Spectral Graph Filters
Henry Kenlay · Dorina Thanou · Xiaowen Dong
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
One-sided Frank-Wolfe algorithms for saddle problems
Vladimir Kolmogorov · Thomas Pock
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Sparsifying Networks via Subdifferential Inclusion
Sagar Verma · Jean-Christophe Pesquet
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Synthesizer: Rethinking Self-Attention for Transformer Models
Yi Tay · Dara Bahri · Don Metzler · Da-Cheng Juan · Zhe Zhao · Che Zheng
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Value Alignment Verification
Daniel Brown · Jordan Schneider · Anca Dragan · Scott Niekum
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
GLSearch: Maximum Common Subgraph Detection via Learning to Search
Yunsheng Bai · Derek Xu · Yizhou Sun · Wei Wang
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Oops I Took A Gradient: Scalable Sampling for Discrete Distributions
Will Grathwohl · Kevin Swersky · Milad Hashemi · David Duvenaud · Chris Maddison
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Optimal Complexity in Decentralized Training
Yucheng Lu · Christopher De Sa
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Generative Particle Variational Inference via Estimation of Functional Gradients
Neale Ratzlaff · Jerry Bai · Fuxin Li · Wei Xu
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Provably Efficient Learning of Transferable Rewards
Alberto Maria Metelli · Giorgia Ramponi · Alessandro Concetti · Marcello Restelli
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Scalable Marginal Likelihood Estimation for Model Selection in Deep Learning
Alexander Immer · Matthias Bauer · Vincent Fortuin · Gunnar Ratsch · Khan Emtiyaz
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Zoo-Tuning: Adaptive Transfer from A Zoo of Models
Yang Shu · Zhi Kou · Zhangjie Cao · Jianmin Wang · Mingsheng Long
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Coach-Player Multi-agent Reinforcement Learning for Dynamic Team Composition
Bo Liu · Qiang Liu · Peter Stone · Animesh Garg · Yuke Zhu · Anima Anandkumar
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Order Matters: Probabilistic Modeling of Node Sequence for Graph Generation
Xiaohui Chen · Xu Han · Jiajing Hu · Francisco R Ruiz · Liping Liu
Session
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Poster Session 1
Town Hall
Tue Jul 20 11:00 AM -- 12:00 PM (PDT)
Town Hall
John Langford · Marina Meila · Tong Zhang
Oral
Tue Jul 20 05:00 PM -- 05:20 PM (PDT)
On the price of explainability for some clustering problems
Eduardo Laber · Lucas Murtinho
Oral
Tue Jul 20 05:00 PM -- 05:20 PM (PDT)
Robust Asymmetric Learning in POMDPs
Andrew Warrington · Jonathan Lavington · Adam Scibior · Mark Schmidt · Frank Wood
Oral
Tue Jul 20 05:00 PM -- 05:20 PM (PDT)
NeRF-VAE: A Geometry Aware 3D Scene Generative Model
Adam Kosiorek · Heiko Strathmann · Daniel Zoran · Pol Moreno · Rosalia Schneider · Sona Mokra · Danilo J. Rezende
Oral
Tue Jul 20 05:00 PM -- 05:20 PM (PDT)
CATE: Computation-aware Neural Architecture Encoding with Transformers
Shen Yan · Kaiqiang Song · Fei Liu · Mi Zhang
Oral
Tue Jul 20 05:00 PM -- 05:20 PM (PDT)
A Practical Method for Constructing Equivariant Multilayer Perceptrons for Arbitrary Matrix Groups
Marc Finzi · Max Welling · Andrew Wilson
Oral
Tue Jul 20 05:00 PM -- 05:20 PM (PDT)
PsiPhi-Learning: Reinforcement Learning with Demonstrations using Successor Features and Inverse Temporal Difference Learning
Angelos Filos · Clare Lyle · Yarin Gal · Sergey Levine · Natasha Jaques · Gregory Farquhar
Oral
Tue Jul 20 05:00 PM -- 05:20 PM (PDT)
A Tale of Two Efficient and Informative Negative Sampling Distributions
Shabnam Daghaghi · Tharun Medini · Nicholas Meisburger · Beidi Chen · Mengnan Zhao · Anshumali Shrivastava
Oral
Tue Jul 20 05:00 PM -- 05:20 PM (PDT)
Characterizing Structural Regularities of Labeled Data in Overparameterized Models
Ziheng Jiang · Chiyuan Zhang · Kunal Talwar · Michael Mozer
Oral
Tue Jul 20 05:00 PM -- 05:20 PM (PDT)
Randomized Entity-wise Factorization for Multi-Agent Reinforcement Learning
Shariq Iqbal · Christian Schroeder · Bei Peng · Wendelin Boehmer · Shimon Whiteson · Fei Sha
Spotlight
Tue Jul 20 05:20 PM -- 05:25 PM (PDT)
TeraPipe: Token-Level Pipeline Parallelism for Training Large-Scale Language Models
Zhuohan Li · Siyuan Zhuang · Shiyuan Guo · Danyang Zhuo · Hao Zhang · Dawn Song · Ion Stoica
Spotlight
Tue Jul 20 05:20 PM -- 05:25 PM (PDT)
Safe Reinforcement Learning with Linear Function Approximation
Sanae Amani · Christos Thrampoulidis · Lin Yang
Spotlight
Tue Jul 20 05:20 PM -- 05:25 PM (PDT)
Accelerate CNNs from Three Dimensions: A Comprehensive Pruning Framework
Wenxiao Wang · Minghao Chen · Shuai Zhao · Long Chen · Jinming Hu · Haifeng Liu · Deng Cai · Xiaofei He · Wei Liu
Spotlight
Tue Jul 20 05:20 PM -- 05:25 PM (PDT)
What Does Rotation Prediction Tell Us about Classifier Accuracy under Varying Testing Environments?
Weijian Deng · Stephen Gould · Liang Zheng
Spotlight
Tue Jul 20 05:20 PM -- 05:25 PM (PDT)
Stabilizing Equilibrium Models by Jacobian Regularization
Shaojie Bai · Vladlen Koltun · Zico Kolter
Spotlight
Tue Jul 20 05:20 PM -- 05:25 PM (PDT)
Re-understanding Finite-State Representations of Recurrent Policy Networks
Mohamad H Danesh · Anurag Koul · Alan Fern · Saeed Khorram
Spotlight
Tue Jul 20 05:20 PM -- 05:25 PM (PDT)
Instance Specific Approximations for Submodular Maximization
Eric Balkanski · Sharon Qian · Yaron Singer
Spotlight
Tue Jul 20 05:20 PM -- 05:25 PM (PDT)
Quantitative Understanding of VAE as a Non-linearly Scaled Isometric Embedding
Akira Nakagawa · Keizo Kato · Taiji Suzuki
Spotlight
Tue Jul 20 05:20 PM -- 05:25 PM (PDT)
Differentiable Spatial Planning using Transformers
Devendra Singh Chaplot · Deepak Pathak · Jitendra Malik
Spotlight
Tue Jul 20 05:25 PM -- 05:30 PM (PDT)
Emergent Social Learning via Multi-agent Reinforcement Learning
Kamal Ndousse · Douglas Eck · Sergey Levine · Natasha Jaques
Spotlight
Tue Jul 20 05:25 PM -- 05:30 PM (PDT)
Towards Domain-Agnostic Contrastive Learning
Vikas Verma · Thang Luong · Kenji Kawaguchi · Hieu Pham · Quoc Le
Spotlight
Tue Jul 20 05:25 PM -- 05:30 PM (PDT)
The Earth Mover's Pinball Loss: Quantiles for Histogram-Valued Regression
Florian List
Spotlight
Tue Jul 20 05:25 PM -- 05:30 PM (PDT)
Quantization Algorithms for Random Fourier Features
Xiaoyun Li · Ping Li
Spotlight
Tue Jul 20 05:25 PM -- 05:30 PM (PDT)
Shortest-Path Constrained Reinforcement Learning for Sparse Reward Tasks
Sungryull Sohn · Sungtae Lee · Jongwook Choi · Harm van Seijen · Mehdi Fatemi · Honglak Lee
Spotlight
Tue Jul 20 05:25 PM -- 05:30 PM (PDT)
Convex Regularization in Monte-Carlo Tree Search
Tuan Q Dam · Carlo D'Eramo · Jan Peters · Joni Pajarinen
Spotlight
Tue Jul 20 05:25 PM -- 05:30 PM (PDT)
Adapting to Delays and Data in Adversarial Multi-Armed Bandits
András György · Pooria Joulani
Spotlight
Tue Jul 20 05:25 PM -- 05:30 PM (PDT)
On the Predictability of Pruning Across Scales
Jonathan Rosenfeld · Jonathan Frankle · Michael Carbin · Nir Shavit
Spotlight
Tue Jul 20 05:25 PM -- 05:30 PM (PDT)
Soft then Hard: Rethinking the Quantization in Neural Image Compression
Zongyu Guo · Zhizheng Zhang · Runsen Feng · Zhibo Chen
Spotlight
Tue Jul 20 05:30 PM -- 05:35 PM (PDT)
From Poincaré Recurrence to Convergence in Imperfect Information Games: Finding Equilibrium via Regularization
Julien Perolat · Remi Munos · Jean-Baptiste Lespiau · Shayegan Omidshafiei · Mark Rowland · Pedro Ortega · Neil Burch · Thomas Anthony · David Balduzzi · Bart De Vylder · Georgios Piliouras · Marc Lanctot · Karl Tuyls
Spotlight
Tue Jul 20 05:30 PM -- 05:35 PM (PDT)
Rethinking Neural vs. Matrix-Factorization Collaborative Filtering: the Theoretical Perspectives
Da Xu · Chuanwei Ruan · Evren Korpeoglu · Sushant Kumar · Kannan Achan
Spotlight
Tue Jul 20 05:30 PM -- 05:35 PM (PDT)
Structured Convolutional Kernel Networks for Airline Crew Scheduling
Yassine Yaakoubi · Francois Soumis · Simon Lacoste-Julien
Spotlight
Tue Jul 20 05:30 PM -- 05:35 PM (PDT)
On-Policy Deep Reinforcement Learning for the Average-Reward Criterion
Yiming Zhang · Keith Ross
Spotlight
Tue Jul 20 05:30 PM -- 05:35 PM (PDT)
Lottery Ticket Preserves Weight Correlation: Is It Desirable or Not?
Ning Liu · Geng Yuan · Zhengping Che · Xuan Shen · Xiaolong Ma · Qing Jin · Jian Ren · Jian Tang · Sijia Liu · Yanzhi Wang
Spotlight
Tue Jul 20 05:30 PM -- 05:35 PM (PDT)
Improved Contrastive Divergence Training of Energy-Based Models
Yilun Du · Shuang Li · Josh Tenenbaum · Igor Mordatch
Spotlight
Tue Jul 20 05:30 PM -- 05:35 PM (PDT)
Signatured Deep Fictitious Play for Mean Field Games with Common Noise
Ming Min · Ruimeng Hu
Spotlight
Tue Jul 20 05:30 PM -- 05:35 PM (PDT)
Offline Reinforcement Learning with Fisher Divergence Critic Regularization
Ilya Kostrikov · Rob Fergus · Jonathan Tompson · Ofir Nachum
Spotlight
Tue Jul 20 05:30 PM -- 05:35 PM (PDT)
Joining datasets via data augmentation in the label space for neural networks
Junbo Zhao · Mingfeng Ou · linji Xue · Yunkai Cui · Sai Wu · Gang Chen
Spotlight
Tue Jul 20 05:35 PM -- 05:40 PM (PDT)
Multi-Task Reinforcement Learning with Context-based Representations
Shagun Sodhani · Amy Zhang · Joelle Pineau
Spotlight
Tue Jul 20 05:35 PM -- 05:40 PM (PDT)
Differentiable Sorting Networks for Scalable Sorting and Ranking Supervision
Felix Petersen · Christian Borgelt · Hilde Kuehne · Oliver Deussen
Spotlight
Tue Jul 20 05:35 PM -- 05:40 PM (PDT)
Equivariant message passing for the prediction of tensorial properties and molecular spectra
Kristof T Schütt · Oliver Unke · Michael Gastegger
Spotlight
Tue Jul 20 05:35 PM -- 05:40 PM (PDT)
Actionable Models: Unsupervised Offline Reinforcement Learning of Robotic Skills
Yevgen Chebotar · Karol Hausman · Yao Lu · Ted Xiao · Dmitry Kalashnikov · Jacob Varley · Alexander Irpan · Benjamin Eysenbach · Ryan C Julian · Chelsea Finn · Sergey Levine
Spotlight
Tue Jul 20 05:35 PM -- 05:40 PM (PDT)
LIME: Learning Inductive Bias for Primitives of Mathematical Reasoning
Yuhuai Wu · Markus Rabe · Wenda Li · Jimmy Ba · Roger Grosse · Christian Szegedy
Spotlight
Tue Jul 20 05:35 PM -- 05:40 PM (PDT)
Deep Generative Learning via Schrödinger Bridge
Gefei Wang · Yuling Jiao · Qian Xu · Yang Wang · Can Yang
Spotlight
Tue Jul 20 05:35 PM -- 05:40 PM (PDT)
Online Graph Dictionary Learning
Cédric Vincent-Cuaz · Titouan Vayer · Rémi Flamary · Marco Corneli · Nicolas Courty
Spotlight
Tue Jul 20 05:35 PM -- 05:40 PM (PDT)
Recomposing the Reinforcement Learning Building Blocks with Hypernetworks
Elad Sarafian · Shai Keynan · Sarit Kraus
Spotlight
Tue Jul 20 05:35 PM -- 05:40 PM (PDT)
Concentric mixtures of Mallows models for top-$k$ rankings: sampling and identifiability
Fabien Collas · Ekhine IRUROZKI
Spotlight
Tue Jul 20 05:40 PM -- 05:45 PM (PDT)
OptiDICE: Offline Policy Optimization via Stationary Distribution Correction Estimation
Jongmin Lee · Wonseok Jeon · Byung-Jun Lee · Joelle Pineau · Kee-Eung Kim
Spotlight
Tue Jul 20 05:40 PM -- 05:45 PM (PDT)
High Confidence Generalization for Reinforcement Learning
James Kostas · Yash Chandak · Scott Jordan · Georgios Theocharous · Philip Thomas
Spotlight
Tue Jul 20 05:40 PM -- 05:45 PM (PDT)
Heterogeneity for the Win: One-Shot Federated Clustering
Don Kurian Dennis · Tian Li · Virginia Smith
Spotlight
Tue Jul 20 05:40 PM -- 05:45 PM (PDT)
Meta-StyleSpeech : Multi-Speaker Adaptive Text-to-Speech Generation
Dongchan Min · Dong Bok Lee · Eunho Yang · Sung Ju Hwang
Spotlight
Tue Jul 20 05:40 PM -- 05:45 PM (PDT)
Stochastic Iterative Graph Matching
Linfeng Liu · Michael Hughes · Soha Hassoun · Liping Liu
Spotlight
Tue Jul 20 05:40 PM -- 05:45 PM (PDT)
Partially Observed Exchangeable Modeling
Yang Li · Junier Oliva
Spotlight
Tue Jul 20 05:40 PM -- 05:45 PM (PDT)
Dense for the Price of Sparse: Improved Performance of Sparsely Initialized Networks via a Subspace Offset
Ilan Price · Jared Tanner
Spotlight
Tue Jul 20 05:40 PM -- 05:45 PM (PDT)
Improving Breadth-Wise Backpropagation in Graph Neural Networks Helps Learning Long-Range Dependencies.
Denis Lukovnikov · Asja Fischer
Spotlight
Tue Jul 20 05:40 PM -- 05:45 PM (PDT)
Trajectory Diversity for Zero-Shot Coordination
Andrei Lupu · Brandon Cui · Hengyuan Hu · Jakob Foerster
Spotlight
Tue Jul 20 05:45 PM -- 05:50 PM (PDT)
Understanding Failures in Out-of-Distribution Detection with Deep Generative Models
Lily Zhang · Mark Goldstein · Rajesh Ranganath
Spotlight
Tue Jul 20 05:45 PM -- 05:50 PM (PDT)
Poolingformer: Long Document Modeling with Pooling Attention
Hang ZHANG · Yeyun Gong · Yelong Shen · Weisheng Li · Jiancheng Lv · Nan Duan · Weizhu Chen
Spotlight
Tue Jul 20 05:45 PM -- 05:50 PM (PDT)
Training Quantized Neural Networks to Global Optimality via Semidefinite Programming
Burak Bartan · Mert Pilanci
Spotlight
Tue Jul 20 05:45 PM -- 05:50 PM (PDT)
Cross-Gradient Aggregation for Decentralized Learning from Non-IID Data
Yasaman Esfandiari · Sin Yong Tan · Zhanhong Jiang · Aditya Balu · Ethan Herron · Chinmay Hegde · Soumik Sarkar
Spotlight
Tue Jul 20 05:45 PM -- 05:50 PM (PDT)
FOP: Factorizing Optimal Joint Policy of Maximum-Entropy Multi-Agent Reinforcement Learning
Tianhao Zhang · yueheng li · Chen Wang · Guangming Xie · Zongqing Lu
Spotlight
Tue Jul 20 05:45 PM -- 05:50 PM (PDT)
Locally Persistent Exploration in Continuous Control Tasks with Sparse Rewards
Susan Amin · Maziar Gomrokchi · Hossein Aboutalebi · Harsh Satija · Doina Precup
Spotlight
Tue Jul 20 05:45 PM -- 05:50 PM (PDT)
Discovering symbolic policies with deep reinforcement learning
Mikel Landajuela Larma · Brenden Petersen · Sookyung Kim · Claudio Santiago · Ruben Glatt · Nathan Mundhenk · Jacob Pettit · Daniel Faissol
Spotlight
Tue Jul 20 05:45 PM -- 05:50 PM (PDT)
LARNet: Lie Algebra Residual Network for Face Recognition
Xiaolong Yang · Xiaohong Jia · Dihong Gong · Dong-Ming Yan · Zhifeng Li · Wei Liu
Spotlight
Tue Jul 20 05:45 PM -- 05:50 PM (PDT)
Learning Neural Network Subspaces
Mitchell Wortsman · Maxwell Horton · Carlos Guestrin · Ali Farhadi · Mohammad Rastegari
Q&A
Tue Jul 20 05:50 PM -- 05:55 PM (PDT)
Q&A
Q&A
Tue Jul 20 05:50 PM -- 05:55 PM (PDT)
Q&A
Q&A
Tue Jul 20 05:50 PM -- 05:55 PM (PDT)
Q&A
Q&A
Tue Jul 20 05:50 PM -- 05:55 PM (PDT)
Q&A
Q&A
Tue Jul 20 05:50 PM -- 05:55 PM (PDT)
Q&A
Q&A
Tue Jul 20 05:50 PM -- 05:55 PM (PDT)
Q&A
Q&A
Tue Jul 20 05:50 PM -- 05:55 PM (PDT)
Q&A
Q&A
Tue Jul 20 05:50 PM -- 05:55 PM (PDT)
Q&A
Q&A
Tue Jul 20 05:50 PM -- 05:55 PM (PDT)
Q&A
Oral
Tue Jul 20 06:00 PM -- 06:20 PM (PDT)
PEBBLE: Feedback-Efficient Interactive Reinforcement Learning via Relabeling Experience and Unsupervised Pre-training
Kimin Lee · Laura Smith · Pieter Abbeel
Oral
Tue Jul 20 06:00 PM -- 06:20 PM (PDT)
Generating images with sparse representations
Charlie Nash · Jacob Menick · Sander Dieleman · Peter Battaglia
Oral
Tue Jul 20 06:00 PM -- 06:20 PM (PDT)
Network Inference and Influence Maximization from Samples
Wei Chen · Xiaoming Sun · Jialin Zhang · Zhijie Zhang
Oral
Tue Jul 20 06:00 PM -- 06:20 PM (PDT)
The Power of Adaptivity for Stochastic Submodular Cover
Rohan Ghuge · Anupam Gupta · viswanath nagarajan
Oral
Tue Jul 20 06:00 PM -- 06:20 PM (PDT)
Decoupling Value and Policy for Generalization in Reinforcement Learning
Roberta Raileanu · Rob Fergus
Oral
Tue Jul 20 06:00 PM -- 06:20 PM (PDT)
Unbiased Gradient Estimation in Unrolled Computation Graphs with Persistent Evolution Strategies
Paul Vicol · Luke Metz · Jascha Sohl-Dickstein
Oral
Tue Jul 20 06:00 PM -- 06:20 PM (PDT)
A Wasserstein Minimax Framework for Mixed Linear Regression
Theo Diamandis · Yonina Eldar · Alireza Fallah · Farzan Farnia · Asuman Ozdaglar
Oral
Tue Jul 20 06:00 PM -- 06:20 PM (PDT)
The Emergence of Individuality
Jiechuan Jiang · Zongqing Lu
Spotlight
Tue Jul 20 06:00 PM -- 06:05 PM (PDT)
iDARTS: Differentiable Architecture Search with Stochastic Implicit Gradients
Miao Zhang · Steven Su · Shirui Pan · Xiaojun Chang · Ehsan Abbasnejad · Reza Haffari
Spotlight
Tue Jul 20 06:05 PM -- 06:10 PM (PDT)
Accurate Post Training Quantization With Small Calibration Sets
Itay Hubara · Yury Nahshan · Yair Hanani · Ron Banner · Daniel Soudry
Spotlight
Tue Jul 20 06:10 PM -- 06:15 PM (PDT)
Optimal Transport Kernels for Sequential and Parallel Neural Architecture Search
Vu Nguyen · Tam Le · Makoto Yamada · Michael A Osborne
Oral
Tue Jul 20 06:15 PM -- 06:35 PM (PDT)
Few-Shot Neural Architecture Search
Yiyang Zhao · Linnan Wang · Yuandong Tian · Rodrigo Fonseca · Tian Guo
Spotlight
Tue Jul 20 06:20 PM -- 06:25 PM (PDT)
Prioritized Level Replay
Minqi Jiang · Edward Grefenstette · Tim Rocktäschel
Spotlight
Tue Jul 20 06:20 PM -- 06:25 PM (PDT)
The Heavy-Tail Phenomenon in SGD
Mert Gurbuzbalaban · Umut Simsekli · Lingjiong Zhu
Spotlight
Tue Jul 20 06:20 PM -- 06:25 PM (PDT)
DFAC Framework: Factorizing the Value Function via Quantile Mixture for Multi-Agent Distributional Q-Learning
Wei-Fang Sun · Cheng-Kuang Lee · Chun-Yi Lee
Spotlight
Tue Jul 20 06:20 PM -- 06:25 PM (PDT)
Weight-covariance alignment for adversarially robust neural networks
Panagiotis Eustratiadis · Henry Gouk · Da Li · Timothy Hospedales
Spotlight
Tue Jul 20 06:20 PM -- 06:25 PM (PDT)
EfficientNetV2: Smaller Models and Faster Training
Mingxing Tan · Quoc Le
Spotlight
Tue Jul 20 06:20 PM -- 06:25 PM (PDT)
An Identifiable Double VAE For Disentangled Representations
Graziano Mita · Maurizio Filippone · Pietro Michiardi
Spotlight
Tue Jul 20 06:20 PM -- 06:25 PM (PDT)
Uncertainty Weighted Actor-Critic for Offline Reinforcement Learning
Yue Wu · Shuangfei Zhai · Nitish Srivastava · Joshua Susskind · Jian Zhang · Ruslan Salakhutdinov · Hanlin Goh
Spotlight
Tue Jul 20 06:20 PM -- 06:25 PM (PDT)
Regularized Submodular Maximization at Scale
Ehsan Kazemi · shervin minaee · Moran Feldman · Amin Karbasi
Spotlight
Tue Jul 20 06:25 PM -- 06:30 PM (PDT)
Federated Composite Optimization
Honglin Yuan · Manzil Zaheer · Sashank Jakkam Reddi
Spotlight
Tue Jul 20 06:25 PM -- 06:30 PM (PDT)
A Unified Generative Adversarial Network Training via Self-Labeling and Self-Attention
Tomoki Watanabe · Paolo Favaro
Spotlight
Tue Jul 20 06:25 PM -- 06:30 PM (PDT)
Marginal Contribution Feature Importance - an Axiomatic Approach for Explaining Data
Amnon Catav · Boyang Fu · Yazeed Zoabi · Ahuva Weiss Meilik · Noam Shomron · Jason Ernst · Sriram Sankararaman · Ran Gilad-Bachrach
Spotlight
Tue Jul 20 06:25 PM -- 06:30 PM (PDT)
Rethinking Rotated Object Detection with Gaussian Wasserstein Distance Loss
Xue Yang · Junchi Yan · Qi Ming · Wentao Wang · xiaopeng zhang · Qi Tian
Spotlight
Tue Jul 20 06:25 PM -- 06:30 PM (PDT)
From Local to Global Norm Emergence: Dissolving Self-reinforcing Substructures with Incremental Social Instruments
Yiwei Liu · Jiamou Liu · Kaibin Wan · Zhan Qin · Zijian Zhang · Bakhadyr Khoussainov · Liehuang Zhu
Spotlight
Tue Jul 20 06:25 PM -- 06:30 PM (PDT)
Causal Curiosity: RL Agents Discovering Self-supervised Experiments for Causal Representation Learning
Sumedh Sontakke · Arash Mehrjou · Laurent Itti · Bernhard Schölkopf
Spotlight
Tue Jul 20 06:25 PM -- 06:30 PM (PDT)
SECANT: Self-Expert Cloning for Zero-Shot Generalization of Visual Policies
Jim Fan · Guanzhi Wang · De-An Huang · Zhiding Yu · Li Fei-Fei · Yuke Zhu · Anima Anandkumar
Spotlight
Tue Jul 20 06:25 PM -- 06:30 PM (PDT)
Keyframe-Focused Visual Imitation Learning
Chuan Wen · Jierui Lin · Jianing Qian · Yang Gao · Dinesh Jayaraman
Spotlight
Tue Jul 20 06:30 PM -- 06:35 PM (PDT)
On Characterizing GAN Convergence Through Proximal Duality Gap
Sahil Sidheekh · Aroof Aimen · Narayanan Chatapuram Krishnan
Spotlight
Tue Jul 20 06:30 PM -- 06:35 PM (PDT)
GMAC: A Distributional Perspective on Actor-Critic Framework
Daniel Nam · Younghoon Kim · Chan Youn Park
Spotlight
Tue Jul 20 06:30 PM -- 06:35 PM (PDT)
Connecting Interpretability and Robustness in Decision Trees through Separation
Michal Moshkovitz · Yao-Yuan Yang · Kamalika Chaudhuri
Spotlight
Tue Jul 20 06:30 PM -- 06:35 PM (PDT)
Learning While Playing in Mean-Field Games: Convergence and Optimality
Qiaomin Xie · Zhuoran Yang · Zhaoran Wang · Andreea Minca
Spotlight
Tue Jul 20 06:30 PM -- 06:35 PM (PDT)
Communication-Efficient Distributed SVD via Local Power Iterations
Xiang Li · Shusen Wang · Kun Chen · Zhihua Zhang
Spotlight
Tue Jul 20 06:30 PM -- 06:35 PM (PDT)
On Estimation in Latent Variable Models
Guanhua Fang · Ping Li
Spotlight
Tue Jul 20 06:30 PM -- 06:35 PM (PDT)
Learning and Planning in Average-Reward Markov Decision Processes
Yi Wan · Abhishek Naik · Richard Sutton
Spotlight
Tue Jul 20 06:30 PM -- 06:35 PM (PDT)
LAMDA: Label Matching Deep Domain Adaptation
Trung Le · Tuan Nguyen · Nhat Ho · Hung Bui · Dinh Phung
Spotlight
Tue Jul 20 06:35 PM -- 06:40 PM (PDT)
Learning Fair Policies in Decentralized Cooperative Multi-Agent Reinforcement Learning
Matthieu Zimmer · Claire Glanois · Umer Siddique · Paul Weng
Spotlight
Tue Jul 20 06:35 PM -- 06:40 PM (PDT)
Asynchronous Distributed Learning : Adapting to Gradient Delays without Prior Knowledge
Rotem Zamir Aviv · Ido Hakimi · Assaf Schuster · Kfir Levy
Spotlight
Tue Jul 20 06:35 PM -- 06:40 PM (PDT)
A Riemannian Block Coordinate Descent Method for Computing the Projection Robust Wasserstein Distance
Minhui Huang · Shiqian Ma · Lifeng Lai
Spotlight
Tue Jul 20 06:35 PM -- 06:40 PM (PDT)
Light RUMs
Flavio Chierichetti · Ravi Kumar · Andrew Tomkins
Spotlight
Tue Jul 20 06:35 PM -- 06:40 PM (PDT)
Towards Better Laplacian Representation in Reinforcement Learning with Generalized Graph Drawing
Kaixin Wang · Kuangqi Zhou · Qixin Zhang · Jie Shao · Bryan Hooi · Jiashi Feng
Spotlight
Tue Jul 20 06:35 PM -- 06:40 PM (PDT)
Scalable Normalizing Flows for Permutation Invariant Densities
Marin Biloš · Stephan Günnemann
Spotlight
Tue Jul 20 06:35 PM -- 06:40 PM (PDT)
AutoAttend: Automated Attention Representation Search
Chaoyu Guan · Xin Wang · wenwu zhu
Spotlight
Tue Jul 20 06:35 PM -- 06:40 PM (PDT)
Goal-Conditioned Reinforcement Learning with Imagined Subgoals
Elliot Chane-Sane · Cordelia Schmid · Ivan Laptev
Spotlight
Tue Jul 20 06:35 PM -- 06:40 PM (PDT)
Temporally Correlated Task Scheduling for Sequence Learning
Xueqing Wu · Lewen Wang · Yingce Xia · Weiqing Liu · Lijun Wu · Shufang Xie · Tao Qin · Tie-Yan Liu
Spotlight
Tue Jul 20 06:40 PM -- 06:45 PM (PDT)
Submodular Maximization subject to a Knapsack Constraint: Combinatorial Algorithms with Near-optimal Adaptive Complexity
Georgios Amanatidis · Federico Fusco · Philip Lazos · Stefano Leonardi · Alberto Marchetti-Spaccamela · Rebecca Reiffenhäuser
Spotlight
Tue Jul 20 06:40 PM -- 06:45 PM (PDT)
Think Global and Act Local: Bayesian Optimisation over High-Dimensional Categorical and Mixed Search Spaces
Xingchen Wan · Vu Nguyen · Huong Ha · Binxin Ru · Cong Lu · Michael A Osborne
Spotlight
Tue Jul 20 06:40 PM -- 06:45 PM (PDT)
Low-Precision Reinforcement Learning: Running Soft Actor-Critic in Half Precision
Johan Björck · Xiangyu Chen · Christopher De Sa · Carla Gomes · Kilian Weinberger
Spotlight
Tue Jul 20 06:40 PM -- 06:45 PM (PDT)
Policy Gradient Bayesian Robust Optimization for Imitation Learning
Zaynah Javed · Daniel Brown · Satvik Sharma · Jerry Zhu · Ashwin Balakrishna · Marek Petrik · Anca Dragan · Ken Goldberg
Spotlight
Tue Jul 20 06:40 PM -- 06:45 PM (PDT)
Augmented World Models Facilitate Zero-Shot Dynamics Generalization From a Single Offline Environment
Philip Ball · Cong Lu · Jack Parker-Holder · Stephen Roberts
Spotlight
Tue Jul 20 06:40 PM -- 06:45 PM (PDT)
Probabilistic Sequential Shrinking: A Best Arm Identification Algorithm for Stochastic Bandits with Corruptions
Zixin Zhong · Wang Chi Cheung · Vincent Tan
Spotlight
Tue Jul 20 06:40 PM -- 06:45 PM (PDT)
Parallel and Flexible Sampling from Autoregressive Models via Langevin Dynamics
Vivek Jayaram · John Thickstun
Spotlight
Tue Jul 20 06:40 PM -- 06:45 PM (PDT)
Information Obfuscation of Graph Neural Networks
Peiyuan Liao · Han Zhao · Keyulu Xu · Tommi Jaakkola · Geoff Gordon · Stefanie Jegelka · Ruslan Salakhutdinov
Spotlight
Tue Jul 20 06:40 PM -- 06:45 PM (PDT)
Randomized Algorithms for Submodular Function Maximization with a $k$-System Constraint
Shuang Cui · Kai Han · Tianshuai Zhu · Jing Tang · Benwei Wu · He Huang
Q&A
Tue Jul 20 06:45 PM -- 06:50 PM (PDT)
Q&A
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Tue Jul 20 06:45 PM -- 06:50 PM (PDT)
Q&A
Spotlight
Tue Jul 20 06:45 PM -- 06:50 PM (PDT)
Leveraging Language to Learn Program Abstractions and Search Heuristics
Catherine Wong · Kevin Ellis · Josh Tenenbaum · Jacob Andreas
Spotlight
Tue Jul 20 06:45 PM -- 06:50 PM (PDT)
BASGD: Buffered Asynchronous SGD for Byzantine Learning
Yi-Rui Yang · Wu-Jun Li
Spotlight
Tue Jul 20 06:45 PM -- 06:50 PM (PDT)
CombOptNet: Fit the Right NP-Hard Problem by Learning Integer Programming Constraints
Anselm Paulus · Michal Rolinek · Vit Musil · Brandon Amos · Georg Martius
Spotlight
Tue Jul 20 06:45 PM -- 06:50 PM (PDT)
Zero-Shot Text-to-Image Generation
Aditya Ramesh · Mikhail Pavlov · Gabriel Goh · Scott Gray · Chelsea Voss · Alec Radford · Mark Chen · Ilya Sutskever
Spotlight
Tue Jul 20 06:45 PM -- 06:50 PM (PDT)
Auto-NBA: Efficient and Effective Search Over the Joint Space of Networks, Bitwidths, and Accelerators
Yonggan Fu · Yongan Zhang · Yang Zhang · David Cox · Yingyan Lin
Spotlight
Tue Jul 20 06:45 PM -- 06:50 PM (PDT)
Reinforcement Learning of Implicit and Explicit Control Flow Instructions
Ethan Brooks · Janarthanan Rajendran · Richard Lewis · Satinder Singh
Spotlight
Tue Jul 20 06:45 PM -- 06:50 PM (PDT)
Emphatic Algorithms for Deep Reinforcement Learning
Ray Jiang · Tom Zahavy · Zhongwen Xu · Adam White · Matteo Hessel · Charles Blundell · Hado van Hasselt
Q&A
Tue Jul 20 06:50 PM -- 06:55 PM (PDT)
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Tue Jul 20 06:50 PM -- 06:55 PM (PDT)
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Tue Jul 20 06:50 PM -- 06:55 PM (PDT)
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Tue Jul 20 06:50 PM -- 06:55 PM (PDT)
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Tue Jul 20 06:50 PM -- 06:55 PM (PDT)
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Tue Jul 20 06:50 PM -- 06:55 PM (PDT)
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Tue Jul 20 06:50 PM -- 06:55 PM (PDT)
Q&A
Oral
Tue Jul 20 07:00 PM -- 07:20 PM (PDT)
Cooperative Exploration for Multi-Agent Deep Reinforcement Learning
Iou-Jen Liu · Unnat Jain · Raymond Yeh · Alex Schwing
Oral
Tue Jul 20 07:00 PM -- 07:20 PM (PDT)
Sequential Domain Adaptation by Synthesizing Distributionally Robust Experts
Bahar Taskesen · Man Chung Yue · Jose Blanchet · Daniel Kuhn · Viet Anh Nguyen
Oral
Tue Jul 20 07:00 PM -- 07:20 PM (PDT)
Just Train Twice: Improving Group Robustness without Training Group Information
Evan Liu · Behzad Haghgoo · Annie Chen · Aditi Raghunathan · Pang Wei Koh · Shiori Sagawa · Percy Liang · Chelsea Finn
Oral
Tue Jul 20 07:00 PM -- 07:20 PM (PDT)
AlphaNet: Improved Training of Supernets with Alpha-Divergence
Dilin Wang · Chengyue Gong · Meng Li · Qiang Liu · Vikas Chandra
Oral
Tue Jul 20 07:00 PM -- 07:20 PM (PDT)
Out-of-Distribution Generalization via Risk Extrapolation (REx)
David Krueger · Ethan Caballero · Joern-Henrik Jacobsen · Amy Zhang · Jonathan Binas · Dinghuai Zhang · Remi Le Priol · Aaron Courville
Oral
Tue Jul 20 07:00 PM -- 07:20 PM (PDT)
Inverse Decision Modeling: Learning Interpretable Representations of Behavior
Daniel Jarrett · Alihan Hüyük · Mihaela van der Schaar
Oral
Tue Jul 20 07:00 PM -- 07:20 PM (PDT)
ActNN: Reducing Training Memory Footprint via 2-Bit Activation Compressed Training
Jianfei Chen · Lianmin Zheng · Zhewei Yao · Dequan Wang · Ion Stoica · Michael Mahoney · Joseph E Gonzalez
Oral
Tue Jul 20 07:00 PM -- 07:20 PM (PDT)
Hyperparameter Selection for Imitation Learning
Léonard Hussenot · Marcin Andrychowicz · Damien Vincent · Robert Dadashi · Anton Raichuk · Sabela Ramos · Nikola Momchev · Sertan Girgin · Raphael Marinier · Lukasz Stafiniak · Emmanuel Orsini · Olivier Bachem · Matthieu Geist · Olivier Pietquin
Oral
Tue Jul 20 07:00 PM -- 07:20 PM (PDT)
Accelerated Algorithms for Smooth Convex-Concave Minimax Problems with O(1/k^2) Rate on Squared Gradient Norm
TaeHo Yoon · Ernest Ryu
Spotlight
Tue Jul 20 07:20 PM -- 07:25 PM (PDT)
Catformer: Designing Stable Transformers via Sensitivity Analysis
Jared Quincy Davis · Albert Gu · Krzysztof Choromanski · Tri Dao · Christopher Re · Chelsea Finn · Percy Liang
Spotlight
Tue Jul 20 07:20 PM -- 07:25 PM (PDT)
Householder Sketch for Accurate and Accelerated Least-Mean-Squares Solvers
Jyotikrishna Dass · Rabi Mahapatra
Spotlight
Tue Jul 20 07:20 PM -- 07:25 PM (PDT)
A Deep Reinforcement Learning Approach to Marginalized Importance Sampling with the Successor Representation
Scott Fujimoto · David Meger · Doina Precup
Spotlight
Tue Jul 20 07:20 PM -- 07:25 PM (PDT)
Communication-Efficient Distributed Optimization with Quantized Preconditioners
Foivos Alimisis · Peter Davies · Dan Alistarh
Spotlight
Tue Jul 20 07:20 PM -- 07:25 PM (PDT)
Optimization of Graph Neural Networks: Implicit Acceleration by Skip Connections and More Depth
Keyulu Xu · Mozhi Zhang · Stefanie Jegelka · Kenji Kawaguchi
Spotlight
Tue Jul 20 07:20 PM -- 07:25 PM (PDT)
Oblivious Sketching-based Central Path Method for Linear Programming
Zhao Song · Zheng Yu
Spotlight
Tue Jul 20 07:20 PM -- 07:25 PM (PDT)
On Proximal Policy Optimization's Heavy-tailed Gradients
Saurabh Garg · Joshua Zhanson · Emilio Parisotto · Adarsh Prasad · Zico Kolter · Zachary Lipton · Sivaraman Balakrishnan · Ruslan Salakhutdinov · Pradeep Ravikumar
Spotlight
Tue Jul 20 07:20 PM -- 07:25 PM (PDT)
What Makes for End-to-End Object Detection?
Peize Sun · Yi Jiang · Enze Xie · Wenqi Shao · Zehuan Yuan · Changhu Wang · Ping Luo
Spotlight
Tue Jul 20 07:20 PM -- 07:25 PM (PDT)
Revisiting Peng's Q($\lambda$) for Modern Reinforcement Learning
Tadashi Kozuno · Yunhao Tang · Mark Rowland · Remi Munos · Steven Kapturowski · Will Dabney · Michal Valko · David Abel
Spotlight
Tue Jul 20 07:25 PM -- 07:30 PM (PDT)
Accumulated Decoupled Learning with Gradient Staleness Mitigation for Convolutional Neural Networks
Huiping Zhuang · Zhenyu Weng · Fulin Luo · Kar-Ann Toh · Haizhou Li · Zhiping Lin
Spotlight
Tue Jul 20 07:25 PM -- 07:30 PM (PDT)
Bayesian Optimization over Hybrid Spaces
Aryan Deshwal · Syrine Belakaria · Jana Doppa
Spotlight
Tue Jul 20 07:25 PM -- 07:30 PM (PDT)
Optimal regret algorithm for Pseudo-1d Bandit Convex Optimization
Aadirupa Saha · Nagarajan Natarajan · Praneeth Netrapalli · Prateek Jain
Spotlight
Tue Jul 20 07:25 PM -- 07:30 PM (PDT)
On Explainability of Graph Neural Networks via Subgraph Explorations
Hao Yuan · Haiyang Yu · Jie Wang · Kang Li · Shuiwang Ji
Spotlight
Tue Jul 20 07:25 PM -- 07:30 PM (PDT)
A Receptor Skeleton for Capsule Neural Networks
Jintai Chen · Hongyun Yu · Chengde Qian · Danny Z Chen · Jian Wu
Spotlight
Tue Jul 20 07:25 PM -- 07:30 PM (PDT)
Learning to Weight Imperfect Demonstrations
Yunke Wang · Chang Xu · Bo Du · Honglak Lee
Spotlight
Tue Jul 20 07:25 PM -- 07:30 PM (PDT)
GraphNorm: A Principled Approach to Accelerating Graph Neural Network Training
Tianle Cai · Shengjie Luo · Keyulu Xu · Di He · Tie-Yan Liu · Liwei Wang
Spotlight
Tue Jul 20 07:25 PM -- 07:30 PM (PDT)
Monotonic Robust Policy Optimization with Model Discrepancy
yuankun jiang · Chenglin Li · Wenrui Dai · Junni Zou · Hongkai Xiong
Spotlight
Tue Jul 20 07:25 PM -- 07:30 PM (PDT)
Policy Information Capacity: Information-Theoretic Measure for Task Complexity in Deep Reinforcement Learning
Hiroki Furuta · Tatsuya Matsushima · Tadashi Kozuno · Yutaka Matsuo · Sergey Levine · Ofir Nachum · Shixiang Gu
Spotlight
Tue Jul 20 07:30 PM -- 07:35 PM (PDT)
Variational (Gradient) Estimate of the Score Function in Energy-based Latent Variable Models
Fan Bao · Kun Xu · Chongxuan Li · Lanqing Hong · Jun Zhu · Bo Zhang
Spotlight
Tue Jul 20 07:30 PM -- 07:35 PM (PDT)
Training Graph Neural Networks with 1000 Layers
Guohao Li · Matthias Müller · Bernard Ghanem · Vladlen Koltun
Spotlight
Tue Jul 20 07:30 PM -- 07:35 PM (PDT)
Fast Stochastic Bregman Gradient Methods: Sharp Analysis and Variance Reduction
Radu Alexandru Dragomir · Mathieu Even · Hadrien Hendrikx
Spotlight
Tue Jul 20 07:30 PM -- 07:35 PM (PDT)
Explore Visual Concept Formation for Image Classification
Shengzhou Xiong · Yihua Tan · Guoyou Wang
Spotlight
Tue Jul 20 07:30 PM -- 07:35 PM (PDT)
Variational Empowerment as Representation Learning for Goal-Conditioned Reinforcement Learning
Jongwook Choi · Archit Sharma · Honglak Lee · Sergey Levine · Shixiang Gu
Spotlight
Tue Jul 20 07:30 PM -- 07:35 PM (PDT)
Taylor Expansion of Discount Factors
Yunhao Tang · Mark Rowland · Remi Munos · Michal Valko
Spotlight
Tue Jul 20 07:30 PM -- 07:35 PM (PDT)
A Bit More Bayesian: Domain-Invariant Learning with Uncertainty
Zehao Xiao · Jiayi Shen · Xiantong Zhen · Ling Shao · Cees Snoek
Spotlight
Tue Jul 20 07:30 PM -- 07:35 PM (PDT)
DouZero: Mastering DouDizhu with Self-Play Deep Reinforcement Learning
Daochen Zha · Jingru Xie · Wenye Ma · Sheng Zhang · Xiangru Lian · Xia Hu · Ji Liu
Spotlight
Tue Jul 20 07:30 PM -- 07:35 PM (PDT)
Just How Toxic is Data Poisoning? A Unified Benchmark for Backdoor and Data Poisoning Attacks
Avi Schwarzschild · Micah Goldblum · Arjun Gupta · John P Dickerson · Tom Goldstein
Spotlight
Tue Jul 20 07:35 PM -- 07:40 PM (PDT)
Data Augmentation for Meta-Learning
Renkun Ni · Micah Goldblum · Amr Sharaf · Kezhi Kong · Tom Goldstein
Spotlight
Tue Jul 20 07:35 PM -- 07:40 PM (PDT)
MURAL: Meta-Learning Uncertainty-Aware Rewards for Outcome-Driven Reinforcement Learning
Kevin Li · Abhishek Gupta · Ashwin D Reddy · Vitchyr Pong · Aurick Zhou · Justin Yu · Sergey Levine
Spotlight
Tue Jul 20 07:35 PM -- 07:40 PM (PDT)
Generalizable Episodic Memory for Deep Reinforcement Learning
Hao Hu · Jianing Ye · Guangxiang Zhu · Zhizhou Ren · Chongjie Zhang
Spotlight
Tue Jul 20 07:35 PM -- 07:40 PM (PDT)
Compositional Video Synthesis with Action Graphs
Amir Bar · Roi Herzig · Xiaolong Wang · Anna Rohrbach · Gal Chechik · Trevor Darrell · Amir Globerson
Spotlight
Tue Jul 20 07:35 PM -- 07:40 PM (PDT)
Moreau-Yosida $f$-divergences
Dávid Terjék
Spotlight
Tue Jul 20 07:35 PM -- 07:40 PM (PDT)
Is Pessimism Provably Efficient for Offline RL?
Ying Jin · Zhuoran Yang · Zhaoran Wang
Spotlight
Tue Jul 20 07:35 PM -- 07:40 PM (PDT)
K-shot NAS: Learnable Weight-Sharing for NAS with K-shot Supernets
Xiu Su · Shan You · Mingkai Zheng · Fei Wang · Chen Qian · Changshui Zhang · Chang Xu
Spotlight
Tue Jul 20 07:35 PM -- 07:40 PM (PDT)
Neural Rough Differential Equations for Long Time Series
James Morrill · Cristopher Salvi · Patrick Kidger · James Foster
Spotlight
Tue Jul 20 07:35 PM -- 07:40 PM (PDT)
1-bit Adam: Communication Efficient Large-Scale Training with Adam's Convergence Speed
Hanlin Tang · Shaoduo Gan · Ammar Ahmad Awan · Samyam Rajbhandari · Conglong Li · Xiangru Lian · Ji Liu · Ce Zhang · Yuxiong He
Spotlight
Tue Jul 20 07:40 PM -- 07:45 PM (PDT)
High-Performance Large-Scale Image Recognition Without Normalization
Andy Brock · Soham De · Samuel Smith · Karen Simonyan
Spotlight
Tue Jul 20 07:40 PM -- 07:45 PM (PDT)
Neural Pharmacodynamic State Space Modeling
Zeshan Hussain · Rahul G. Krishnan · David Sontag
Spotlight
Tue Jul 20 07:40 PM -- 07:45 PM (PDT)
Affine Invariant Analysis of Frank-Wolfe on Strongly Convex Sets
Thomas Kerdreux · Lewis Liu · Simon Lacoste-Julien · Damien Scieur
Spotlight
Tue Jul 20 07:40 PM -- 07:45 PM (PDT)
Beyond Variance Reduction: Understanding the True Impact of Baselines on Policy Optimization
Wesley Chung · Valentin Thomas · Marlos C. Machado · Nicolas Le Roux
Spotlight
Tue Jul 20 07:40 PM -- 07:45 PM (PDT)
Federated Deep AUC Maximization for Hetergeneous Data with a Constant Communication Complexity
Zhuoning Yuan · Zhishuai Guo · Yi Xu · Yiming Ying · Tianbao Yang
Spotlight
Tue Jul 20 07:40 PM -- 07:45 PM (PDT)
Representation Matters: Offline Pretraining for Sequential Decision Making
Mengjiao Yang · Ofir Nachum
Spotlight
Tue Jul 20 07:40 PM -- 07:45 PM (PDT)
RRL: Resnet as representation for Reinforcement Learning
Rutav Shah · Vikash Kumar
Spotlight
Tue Jul 20 07:40 PM -- 07:45 PM (PDT)
Whitening and Second Order Optimization Both Make Information in the Dataset Unusable During Training, and Can Reduce or Prevent Generalization
Neha Wadia · Daniel Duckworth · Samuel Schoenholz · Ethan Dyer · Jascha Sohl-Dickstein
Spotlight
Tue Jul 20 07:40 PM -- 07:45 PM (PDT)
Understanding Invariance via Feedforward Inversion of Discriminatively Trained Classifiers
Piotr Teterwak · Chiyuan Zhang · Dilip Krishnan · Michael Mozer
Spotlight
Tue Jul 20 07:45 PM -- 07:50 PM (PDT)
Neural Symbolic Regression that scales
Luca Biggio · Tommaso Bendinelli · Alexander Neitz · Aurelien Lucchi · Giambattista Parascandolo
Spotlight
Tue Jul 20 07:45 PM -- 07:50 PM (PDT)
Three Operator Splitting with a Nonconvex Loss Function
Alp Yurtsever · Varun Mangalick · Suvrit Sra
Spotlight
Tue Jul 20 07:45 PM -- 07:50 PM (PDT)
Ditto: Fair and Robust Federated Learning Through Personalization
Tian Li · Shengyuan Hu · Ahmad Beirami · Virginia Smith
Spotlight
Tue Jul 20 07:45 PM -- 07:50 PM (PDT)
Density Constrained Reinforcement Learning
Zengyi Qin · Yuxiao Chen · Chuchu Fan
Spotlight
Tue Jul 20 07:45 PM -- 07:50 PM (PDT)
Reinforcement Learning Under Moral Uncertainty
Adrien Ecoffet · Joel Lehman
Spotlight
Tue Jul 20 07:45 PM -- 07:50 PM (PDT)
Lipschitz normalization for self-attention layers with application to graph neural networks
George Dasoulas · Kevin Scaman · Aladin Virmaux
Spotlight
Tue Jul 20 07:45 PM -- 07:50 PM (PDT)
Data augmentation for deep learning based accelerated MRI reconstruction with limited data
Zalan Fabian · Reinhard Heckel · Mahdi Soltanolkotabi
Spotlight
Tue Jul 20 07:45 PM -- 07:50 PM (PDT)
SCC: an efficient deep reinforcement learning agent mastering the game of StarCraft II
Xiangjun Wang · Junxiao SONG · Penghui Qi · Peng Peng · Zhenkun Tang · Wei Zhang · Weimin Li · Xiongjun Pi · Jujie He · Chao Gao · Haitao Long · Quan Yuan
Spotlight
Tue Jul 20 07:45 PM -- 07:50 PM (PDT)
On a Combination of Alternating Minimization and Nesterov's Momentum
Sergey Guminov · Pavel Dvurechenskii · Nazarii Tupitsa · Alexander Gasnikov
Q&A
Tue Jul 20 07:50 PM -- 07:55 PM (PDT)
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Tue Jul 20 07:50 PM -- 07:55 PM (PDT)
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Tue Jul 20 07:50 PM -- 07:55 PM (PDT)
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Tue Jul 20 07:50 PM -- 07:55 PM (PDT)
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Tue Jul 20 07:50 PM -- 07:55 PM (PDT)
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Tue Jul 20 07:50 PM -- 07:55 PM (PDT)
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Tue Jul 20 07:50 PM -- 07:55 PM (PDT)
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Tue Jul 20 07:50 PM -- 07:55 PM (PDT)
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Tue Jul 20 07:50 PM -- 07:55 PM (PDT)
Q&A
Invited Talk
Tue Jul 20 08:00 PM -- 09:00 PM (PDT)
Cryospheric Science and Emergence of Machine Learning
Xiao Cunde · Qin Dahe
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
On Characterizing GAN Convergence Through Proximal Duality Gap
Sahil Sidheekh · Aroof Aimen · Narayanan Chatapuram Krishnan
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Few-Shot Neural Architecture Search
Yiyang Zhao · Linnan Wang · Yuandong Tian · Rodrigo Fonseca · Tian Guo
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Auto-NBA: Efficient and Effective Search Over the Joint Space of Networks, Bitwidths, and Accelerators
Yonggan Fu · Yongan Zhang · Yang Zhang · David Cox · Yingyan Lin
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Low-Precision Reinforcement Learning: Running Soft Actor-Critic in Half Precision
Johan Björck · Xiangyu Chen · Christopher De Sa · Carla Gomes · Kilian Weinberger
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
From Local to Global Norm Emergence: Dissolving Self-reinforcing Substructures with Incremental Social Instruments
Yiwei Liu · Jiamou Liu · Kaibin Wan · Zhan Qin · Zijian Zhang · Bakhadyr Khoussainov · Liehuang Zhu
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
A Wasserstein Minimax Framework for Mixed Linear Regression
Theo Diamandis · Yonina Eldar · Alireza Fallah · Farzan Farnia · Asuman Ozdaglar
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Accelerate CNNs from Three Dimensions: A Comprehensive Pruning Framework
Wenxiao Wang · Minghao Chen · Shuai Zhao · Long Chen · Jinming Hu · Haifeng Liu · Deng Cai · Xiaofei He · Wei Liu
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
From Poincaré Recurrence to Convergence in Imperfect Information Games: Finding Equilibrium via Regularization
Julien Perolat · Remi Munos · Jean-Baptiste Lespiau · Shayegan Omidshafiei · Mark Rowland · Pedro Ortega · Neil Burch · Thomas Anthony · David Balduzzi · Bart De Vylder · Georgios Piliouras · Marc Lanctot · Karl Tuyls
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Optimization of Graph Neural Networks: Implicit Acceleration by Skip Connections and More Depth
Keyulu Xu · Mozhi Zhang · Stefanie Jegelka · Kenji Kawaguchi
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Accumulated Decoupled Learning with Gradient Staleness Mitigation for Convolutional Neural Networks
Huiping Zhuang · Zhenyu Weng · Fulin Luo · Kar-Ann Toh · Haizhou Li · Zhiping Lin
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Deep Generative Learning via Schrödinger Bridge
Gefei Wang · Yuling Jiao · Qian Xu · Yang Wang · Can Yang
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
iDARTS: Differentiable Architecture Search with Stochastic Implicit Gradients
Miao Zhang · Steven Su · Shirui Pan · Xiaojun Chang · Ehsan Abbasnejad · Reza Haffari
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Representation Matters: Offline Pretraining for Sequential Decision Making
Mengjiao Yang · Ofir Nachum
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
On Proximal Policy Optimization's Heavy-tailed Gradients
Saurabh Garg · Joshua Zhanson · Emilio Parisotto · Adarsh Prasad · Zico Kolter · Zachary Lipton · Sivaraman Balakrishnan · Ruslan Salakhutdinov · Pradeep Ravikumar
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Learning While Playing in Mean-Field Games: Convergence and Optimality
Qiaomin Xie · Zhuoran Yang · Zhaoran Wang · Andreea Minca
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Concentric mixtures of Mallows models for top-$k$ rankings: sampling and identifiability
Fabien Collas · Ekhine IRUROZKI
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
TeraPipe: Token-Level Pipeline Parallelism for Training Large-Scale Language Models
Zhuohan Li · Siyuan Zhuang · Shiyuan Guo · Danyang Zhuo · Hao Zhang · Dawn Song · Ion Stoica
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
A Deep Reinforcement Learning Approach to Marginalized Importance Sampling with the Successor Representation
Scott Fujimoto · David Meger · Doina Precup
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Multi-Task Reinforcement Learning with Context-based Representations
Shagun Sodhani · Amy Zhang · Joelle Pineau
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Policy Information Capacity: Information-Theoretic Measure for Task Complexity in Deep Reinforcement Learning
Hiroki Furuta · Tatsuya Matsushima · Tadashi Kozuno · Yutaka Matsuo · Sergey Levine · Ofir Nachum · Shixiang Gu
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Stabilizing Equilibrium Models by Jacobian Regularization
Shaojie Bai · Vladlen Koltun · Zico Kolter
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
On-Policy Deep Reinforcement Learning for the Average-Reward Criterion
Yiming Zhang · Keith Ross
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Connecting Interpretability and Robustness in Decision Trees through Separation
Michal Moshkovitz · Yao-Yuan Yang · Kamalika Chaudhuri
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Network Inference and Influence Maximization from Samples
Wei Chen · Xiaoming Sun · Jialin Zhang · Zhijie Zhang
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Lottery Ticket Preserves Weight Correlation: Is It Desirable or Not?
Ning Liu · Geng Yuan · Zhengping Che · Xuan Shen · Xiaolong Ma · Qing Jin · Jian Ren · Jian Tang · Sijia Liu · Yanzhi Wang
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Training Graph Neural Networks with 1000 Layers
Guohao Li · Matthias Müller · Bernard Ghanem · Vladlen Koltun
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
DouZero: Mastering DouDizhu with Self-Play Deep Reinforcement Learning
Daochen Zha · Jingru Xie · Wenye Ma · Sheng Zhang · Xiangru Lian · Xia Hu · Ji Liu
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
High Confidence Generalization for Reinforcement Learning
James Kostas · Yash Chandak · Scott Jordan · Georgios Theocharous · Philip Thomas
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
BASGD: Buffered Asynchronous SGD for Byzantine Learning
Yi-Rui Yang · Wu-Jun Li
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Signatured Deep Fictitious Play for Mean Field Games with Common Noise
Ming Min · Ruimeng Hu
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Variational (Gradient) Estimate of the Score Function in Energy-based Latent Variable Models
Fan Bao · Kun Xu · Chongxuan Li · Lanqing Hong · Jun Zhu · Bo Zhang
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
LAMDA: Label Matching Deep Domain Adaptation
Trung Le · Tuan Nguyen · Nhat Ho · Hung Bui · Dinh Phung
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Neural Rough Differential Equations for Long Time Series
James Morrill · Cristopher Salvi · Patrick Kidger · James Foster
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Whitening and Second Order Optimization Both Make Information in the Dataset Unusable During Training, and Can Reduce or Prevent Generalization
Neha Wadia · Daniel Duckworth · Samuel Schoenholz · Ethan Dyer · Jascha Sohl-Dickstein
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Householder Sketch for Accurate and Accelerated Least-Mean-Squares Solvers
Jyotikrishna Dass · Rabi Mahapatra
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Convex Regularization in Monte-Carlo Tree Search
Tuan Q Dam · Carlo D'Eramo · Jan Peters · Joni Pajarinen
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Characterizing Structural Regularities of Labeled Data in Overparameterized Models
Ziheng Jiang · Chiyuan Zhang · Kunal Talwar · Michael Mozer
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Hyperparameter Selection for Imitation Learning
Léonard Hussenot · Marcin Andrychowicz · Damien Vincent · Robert Dadashi · Anton Raichuk · Sabela Ramos · Nikola Momchev · Sertan Girgin · Raphael Marinier · Lukasz Stafiniak · Emmanuel Orsini · Olivier Bachem · Matthieu Geist · Olivier Pietquin
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
OptiDICE: Offline Policy Optimization via Stationary Distribution Correction Estimation
Jongmin Lee · Wonseok Jeon · Byung-Jun Lee · Joelle Pineau · Kee-Eung Kim
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
A Tale of Two Efficient and Informative Negative Sampling Distributions
Shabnam Daghaghi · Tharun Medini · Nicholas Meisburger · Beidi Chen · Mengnan Zhao · Anshumali Shrivastava
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Scalable Normalizing Flows for Permutation Invariant Densities
Marin Biloš · Stephan Günnemann
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Explore Visual Concept Formation for Image Classification
Shengzhou Xiong · Yihua Tan · Guoyou Wang
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Inverse Decision Modeling: Learning Interpretable Representations of Behavior
Daniel Jarrett · Alihan Hüyük · Mihaela van der Schaar
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Parallel and Flexible Sampling from Autoregressive Models via Langevin Dynamics
Vivek Jayaram · John Thickstun
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Information Obfuscation of Graph Neural Networks
Peiyuan Liao · Han Zhao · Keyulu Xu · Tommi Jaakkola · Geoff Gordon · Stefanie Jegelka · Ruslan Salakhutdinov
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
An Identifiable Double VAE For Disentangled Representations
Graziano Mita · Maurizio Filippone · Pietro Michiardi
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Taylor Expansion of Discount Factors
Yunhao Tang · Mark Rowland · Remi Munos · Michal Valko
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Marginal Contribution Feature Importance - an Axiomatic Approach for Explaining Data
Amnon Catav · Boyang Fu · Yazeed Zoabi · Ahuva Weiss Meilik · Noam Shomron · Jason Ernst · Sriram Sankararaman · Ran Gilad-Bachrach
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Trajectory Diversity for Zero-Shot Coordination
Andrei Lupu · Brandon Cui · Hengyuan Hu · Jakob Foerster
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Meta-StyleSpeech : Multi-Speaker Adaptive Text-to-Speech Generation
Dongchan Min · Dong Bok Lee · Eunho Yang · Sung Ju Hwang
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Quantization Algorithms for Random Fourier Features
Xiaoyun Li · Ping Li
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Just How Toxic is Data Poisoning? A Unified Benchmark for Backdoor and Data Poisoning Attacks
Avi Schwarzschild · Micah Goldblum · Arjun Gupta · John P Dickerson · Tom Goldstein
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Weight-covariance alignment for adversarially robust neural networks
Panagiotis Eustratiadis · Henry Gouk · Da Li · Timothy Hospedales
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Online Graph Dictionary Learning
Cédric Vincent-Cuaz · Titouan Vayer · Rémi Flamary · Marco Corneli · Nicolas Courty
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Soft then Hard: Rethinking the Quantization in Neural Image Compression
Zongyu Guo · Zhizheng Zhang · Runsen Feng · Zhibo Chen
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Think Global and Act Local: Bayesian Optimisation over High-Dimensional Categorical and Mixed Search Spaces
Xingchen Wan · Vu Nguyen · Huong Ha · Binxin Ru · Cong Lu · Michael A Osborne
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Ditto: Fair and Robust Federated Learning Through Personalization
Tian Li · Shengyuan Hu · Ahmad Beirami · Virginia Smith
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Shortest-Path Constrained Reinforcement Learning for Sparse Reward Tasks
Sungryull Sohn · Sungtae Lee · Jongwook Choi · Harm van Seijen · Mehdi Fatemi · Honglak Lee
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
On Explainability of Graph Neural Networks via Subgraph Explorations
Hao Yuan · Haiyang Yu · Jie Wang · Kang Li · Shuiwang Ji
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Generating images with sparse representations
Charlie Nash · Jacob Menick · Sander Dieleman · Peter Battaglia
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Beyond Variance Reduction: Understanding the True Impact of Baselines on Policy Optimization
Wesley Chung · Valentin Thomas · Marlos C. Machado · Nicolas Le Roux
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Emergent Social Learning via Multi-agent Reinforcement Learning
Kamal Ndousse · Douglas Eck · Sergey Levine · Natasha Jaques
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
The Heavy-Tail Phenomenon in SGD
Mert Gurbuzbalaban · Umut Simsekli · Lingjiong Zhu
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
PsiPhi-Learning: Reinforcement Learning with Demonstrations using Successor Features and Inverse Temporal Difference Learning
Angelos Filos · Clare Lyle · Yarin Gal · Sergey Levine · Natasha Jaques · Gregory Farquhar
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Offline Reinforcement Learning with Fisher Divergence Critic Regularization
Ilya Kostrikov · Rob Fergus · Jonathan Tompson · Ofir Nachum
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Learning Fair Policies in Decentralized Cooperative Multi-Agent Reinforcement Learning
Matthieu Zimmer · Claire Glanois · Umer Siddique · Paul Weng
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Light RUMs
Flavio Chierichetti · Ravi Kumar · Andrew Tomkins
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
K-shot NAS: Learnable Weight-Sharing for NAS with K-shot Supernets
Xiu Su · Shan You · Mingkai Zheng · Fei Wang · Chen Qian · Changshui Zhang · Chang Xu
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Policy Gradient Bayesian Robust Optimization for Imitation Learning
Zaynah Javed · Daniel Brown · Satvik Sharma · Jerry Zhu · Ashwin Balakrishna · Marek Petrik · Anca Dragan · Ken Goldberg
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Probabilistic Sequential Shrinking: A Best Arm Identification Algorithm for Stochastic Bandits with Corruptions
Zixin Zhong · Wang Chi Cheung · Vincent Tan
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Compositional Video Synthesis with Action Graphs
Amir Bar · Roi Herzig · Xiaolong Wang · Anna Rohrbach · Gal Chechik · Trevor Darrell · Amir Globerson
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
The Power of Adaptivity for Stochastic Submodular Cover
Rohan Ghuge · Anupam Gupta · viswanath nagarajan
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
SCC: an efficient deep reinforcement learning agent mastering the game of StarCraft II
Xiangjun Wang · Junxiao SONG · Penghui Qi · Peng Peng · Zhenkun Tang · Wei Zhang · Weimin Li · Xiongjun Pi · Jujie He · Chao Gao · Haitao Long · Quan Yuan
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Density Constrained Reinforcement Learning
Zengyi Qin · Yuxiao Chen · Chuchu Fan
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Rethinking Neural vs. Matrix-Factorization Collaborative Filtering: the Theoretical Perspectives
Da Xu · Chuanwei Ruan · Evren Korpeoglu · Sushant Kumar · Kannan Achan
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Communication-Efficient Distributed SVD via Local Power Iterations
Xiang Li · Shusen Wang · Kun Chen · Zhihua Zhang
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Communication-Efficient Distributed Optimization with Quantized Preconditioners
Foivos Alimisis · Peter Davies · Dan Alistarh
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Heterogeneity for the Win: One-Shot Federated Clustering
Don Kurian Dennis · Tian Li · Virginia Smith
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Learning Neural Network Subspaces
Mitchell Wortsman · Maxwell Horton · Carlos Guestrin · Ali Farhadi · Mohammad Rastegari
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
EfficientNetV2: Smaller Models and Faster Training
Mingxing Tan · Quoc Le
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Joining datasets via data augmentation in the label space for neural networks
Junbo Zhao · Mingfeng Ou · linji Xue · Yunkai Cui · Sai Wu · Gang Chen
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
GMAC: A Distributional Perspective on Actor-Critic Framework
Daniel Nam · Younghoon Kim · Chan Youn Park
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Variational Empowerment as Representation Learning for Goal-Conditioned Reinforcement Learning
Jongwook Choi · Archit Sharma · Honglak Lee · Sergey Levine · Shixiang Gu
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
1-bit Adam: Communication Efficient Large-Scale Training with Adam's Convergence Speed
Hanlin Tang · Shaoduo Gan · Ammar Ahmad Awan · Samyam Rajbhandari · Conglong Li · Xiangru Lian · Ji Liu · Ce Zhang · Yuxiong He
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Training Quantized Neural Networks to Global Optimality via Semidefinite Programming
Burak Bartan · Mert Pilanci
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Keyframe-Focused Visual Imitation Learning
Chuan Wen · Jierui Lin · Jianing Qian · Yang Gao · Dinesh Jayaraman
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
PEBBLE: Feedback-Efficient Interactive Reinforcement Learning via Relabeling Experience and Unsupervised Pre-training
Kimin Lee · Laura Smith · Pieter Abbeel
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
DFAC Framework: Factorizing the Value Function via Quantile Mixture for Multi-Agent Distributional Q-Learning
Wei-Fang Sun · Cheng-Kuang Lee · Chun-Yi Lee
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
CATE: Computation-aware Neural Architecture Encoding with Transformers
Shen Yan · Kaiqiang Song · Fei Liu · Mi Zhang
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Rethinking Rotated Object Detection with Gaussian Wasserstein Distance Loss
Xue Yang · Junchi Yan · Qi Ming · Wentao Wang · xiaopeng zhang · Qi Tian
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Sequential Domain Adaptation by Synthesizing Distributionally Robust Experts
Bahar Taskesen · Man Chung Yue · Jose Blanchet · Daniel Kuhn · Viet Anh Nguyen
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Discovering symbolic policies with deep reinforcement learning
Mikel Landajuela Larma · Brenden Petersen · Sookyung Kim · Claudio Santiago · Ruben Glatt · Nathan Mundhenk · Jacob Pettit · Daniel Faissol
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Augmented World Models Facilitate Zero-Shot Dynamics Generalization From a Single Offline Environment
Philip Ball · Cong Lu · Jack Parker-Holder · Stephen Roberts
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Submodular Maximization subject to a Knapsack Constraint: Combinatorial Algorithms with Near-optimal Adaptive Complexity
Georgios Amanatidis · Federico Fusco · Philip Lazos · Stefano Leonardi · Alberto Marchetti-Spaccamela · Rebecca Reiffenhäuser
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
CombOptNet: Fit the Right NP-Hard Problem by Learning Integer Programming Constraints
Anselm Paulus · Michal Rolinek · Vit Musil · Brandon Amos · Georg Martius
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Federated Composite Optimization
Honglin Yuan · Manzil Zaheer · Sashank Jakkam Reddi
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
LARNet: Lie Algebra Residual Network for Face Recognition
Xiaolong Yang · Xiaohong Jia · Dihong Gong · Dong-Ming Yan · Zhifeng Li · Wei Liu
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Goal-Conditioned Reinforcement Learning with Imagined Subgoals
Elliot Chane-Sane · Cordelia Schmid · Ivan Laptev
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
High-Performance Large-Scale Image Recognition Without Normalization
Andy Brock · Soham De · Samuel Smith · Karen Simonyan
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
On the price of explainability for some clustering problems
Eduardo Laber · Lucas Murtinho
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Oblivious Sketching-based Central Path Method for Linear Programming
Zhao Song · Zheng Yu
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Lipschitz normalization for self-attention layers with application to graph neural networks
George Dasoulas · Kevin Scaman · Aladin Virmaux
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Randomized Entity-wise Factorization for Multi-Agent Reinforcement Learning
Shariq Iqbal · Christian Schroeder · Bei Peng · Wendelin Boehmer · Shimon Whiteson · Fei Sha
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Federated Deep AUC Maximization for Hetergeneous Data with a Constant Communication Complexity
Zhuoning Yuan · Zhishuai Guo · Yi Xu · Yiming Ying · Tianbao Yang
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Stochastic Iterative Graph Matching
Linfeng Liu · Michael Hughes · Soha Hassoun · Liping Liu
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Causal Curiosity: RL Agents Discovering Self-supervised Experiments for Causal Representation Learning
Sumedh Sontakke · Arash Mehrjou · Laurent Itti · Bernhard Schölkopf
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Optimal regret algorithm for Pseudo-1d Bandit Convex Optimization
Aadirupa Saha · Nagarajan Natarajan · Praneeth Netrapalli · Prateek Jain
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Uncertainty Weighted Actor-Critic for Offline Reinforcement Learning
Yue Wu · Shuangfei Zhai · Nitish Srivastava · Joshua M Susskind · Jian Zhang · Ruslan Salakhutdinov · Hanlin Goh
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Cross-Gradient Aggregation for Decentralized Learning from Non-IID Data
Yasaman Esfandiari · Sin Yong Tan · Zhanhong Jiang · Aditya Balu · Ethan Herron · Chinmay Hegde · Soumik Sarkar
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Zero-Shot Text-to-Image Generation
Aditya Ramesh · Mikhail Pavlov · Gabriel Goh · Scott Gray · Chelsea Voss · Alec Radford · Mark Chen · Ilya Sutskever
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Accurate Post Training Quantization With Small Calibration Sets
Itay Hubara · Yury Nahshan · Yair Hanani · Ron Banner · Daniel Soudry
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Out-of-Distribution Generalization via Risk Extrapolation (REx)
David Krueger · Ethan Caballero · Joern-Henrik Jacobsen · Amy Zhang · Jonathan Binas · Dinghuai Zhang · Remi Le Priol · Aaron Courville
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Partially Observed Exchangeable Modeling
Yang Li · Junier Oliva
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Robust Asymmetric Learning in POMDPs
Andrew Warrington · Jonathan Lavington · Adam Scibior · Mark Schmidt · Frank Wood
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
MURAL: Meta-Learning Uncertainty-Aware Rewards for Outcome-Driven Reinforcement Learning
Kevin Li · Abhishek Gupta · Ashwin D Reddy · Vitchyr Pong · Aurick Zhou · Justin Yu · Sergey Levine
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
GraphNorm: A Principled Approach to Accelerating Graph Neural Network Training
Tianle Cai · Shengjie Luo · Keyulu Xu · Di He · Tie-Yan Liu · Liwei Wang
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
A Riemannian Block Coordinate Descent Method for Computing the Projection Robust Wasserstein Distance
Minhui Huang · Shiqian Ma · Lifeng Lai
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
SECANT: Self-Expert Cloning for Zero-Shot Generalization of Visual Policies
Jim Fan · Guanzhi Wang · De-An Huang · Zhiding Yu · Li Fei-Fei · Yuke Zhu · Anima Anandkumar
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Locally Persistent Exploration in Continuous Control Tasks with Sparse Rewards
Susan Amin · Maziar Gomrokchi · Hossein Aboutalebi · Harsh Satija · Doina Precup
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
FOP: Factorizing Optimal Joint Policy of Maximum-Entropy Multi-Agent Reinforcement Learning
Tianhao Zhang · 岳珩 李 · Chen Wang · Guangming Xie · Zongqing Lu
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Improving Breadth-Wise Backpropagation in Graph Neural Networks Helps Learning Long-Range Dependencies.
Denis Lukovnikov · Asja Fischer
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Optimal Transport Kernels for Sequential and Parallel Neural Architecture Search
Vu Nguyen · Tam Le · Makoto Yamada · Michael A Osborne
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
RRL: Resnet as representation for Reinforcement Learning
Rutav Shah · Vikash Kumar
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Catformer: Designing Stable Transformers via Sensitivity Analysis
Jared Quincy Davis · Albert Gu · Krzysztof Choromanski · Tri Dao · Christopher Re · Chelsea Finn · Percy Liang
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
A Receptor Skeleton for Capsule Neural Networks
Jintai Chen · Hongyun Yu · Chengde Qian · Danny Z Chen · Jian Wu
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Monotonic Robust Policy Optimization with Model Discrepancy
yuankun jiang · Chenglin Li · Wenrui Dai · Junni Zou · Hongkai Xiong
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Learning to Weight Imperfect Demonstrations
Yunke Wang · Chang Xu · Bo Du · Honglak Lee
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Improved Contrastive Divergence Training of Energy-Based Models
Yilun Du · Shuang Li · Josh Tenenbaum · Igor Mordatch
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
The Emergence of Individuality
Jiechuan Jiang · Zongqing Lu
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Bayesian Optimization over Hybrid Spaces
Aryan Deshwal · Syrine Belakaria · Jana Doppa
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Towards Better Laplacian Representation in Reinforcement Learning with Generalized Graph Drawing
Kaixin Wang · Kuangqi Zhou · Qixin Zhang · Jie Shao · Bryan Hooi · Jiashi Feng
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Differentiable Spatial Planning using Transformers
Devendra Singh Chaplot · Deepak Pathak · Jitendra Malik
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Accelerated Algorithms for Smooth Convex-Concave Minimax Problems with O(1/k^2) Rate on Squared Gradient Norm
TaeHo Yoon · Ernest Ryu
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
A Practical Method for Constructing Equivariant Multilayer Perceptrons for Arbitrary Matrix Groups
Marc Finzi · Max Welling · Andrew Wilson
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Asynchronous Distributed Learning : Adapting to Gradient Delays without Prior Knowledge
Rotem Zamir Aviv · Ido Hakimi · Assaf Schuster · Kfir Levy
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Emphatic Algorithms for Deep Reinforcement Learning
Ray Jiang · Tom Zahavy · Zhongwen Xu · Adam White · Matteo Hessel · Charles Blundell · Hado van Hasselt
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
On the Predictability of Pruning Across Scales
Jonathan Rosenfeld · Jonathan Frankle · Michael Carbin · Nir Shavit
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Instance Specific Approximations for Submodular Maximization
Eric Balkanski · Sharon Qian · Yaron Singer
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Generalizable Episodic Memory for Deep Reinforcement Learning
Hao Hu · Jianing Ye · Guangxiang Zhu · Zhizhou Ren · Chongjie Zhang
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
What Does Rotation Prediction Tell Us about Classifier Accuracy under Varying Testing Environments?
Weijian Deng · Stephen Gould · Liang Zheng
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
A Unified Generative Adversarial Network Training via Self-Labeling and Self-Attention
Tomoki Watanabe · Paolo Favaro
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
A Bit More Bayesian: Domain-Invariant Learning with Uncertainty
Zehao Xiao · Jiayi Shen · Xiantong Zhen · Ling Shao · Cees Snoek
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Safe Reinforcement Learning with Linear Function Approximation
Sanae Amani · Christos Thrampoulidis · Lin Yang
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
AlphaNet: Improved Training of Supernets with Alpha-Divergence
Dilin Wang · Chengyue Gong · Meng Li · Qiang Liu · Vikas Chandra
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Dense for the Price of Sparse: Improved Performance of Sparsely Initialized Networks via a Subspace Offset
Ilan Price · Jared Tanner
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Randomized Algorithms for Submodular Function Maximization with a $k$-System Constraint
Shuang Cui · Kai Han · Tianshuai Zhu · Jing Tang · Benwei Wu · He Huang
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Unbiased Gradient Estimation in Unrolled Computation Graphs with Persistent Evolution Strategies
Paul Vicol · Luke Metz · Jascha Sohl-Dickstein
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
LIME: Learning Inductive Bias for Primitives of Mathematical Reasoning
Yuhuai Wu · Markus Rabe · Wenda Li · Jimmy Ba · Roger Grosse · Christian Szegedy
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Is Pessimism Provably Efficient for Offline RL?
Ying Jin · Zhuoran Yang · Zhaoran Wang
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
ActNN: Reducing Training Memory Footprint via 2-Bit Activation Compressed Training
Jianfei Chen · Lianmin Zheng · Zhewei Yao · Dequan Wang · Ion Stoica · Michael Mahoney · Joseph E Gonzalez
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Reinforcement Learning of Implicit and Explicit Control Flow Instructions
Ethan Brooks · Janarthanan Rajendran · Richard Lewis · Satinder Singh
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Prioritized Level Replay
Minqi Jiang · Edward Grefenstette · Tim Rocktäschel
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Cooperative Exploration for Multi-Agent Deep Reinforcement Learning
Iou-Jen Liu · Unnat Jain · Raymond Yeh · Alex Schwing
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
The Earth Mover's Pinball Loss: Quantiles for Histogram-Valued Regression
Florian List
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Towards Domain-Agnostic Contrastive Learning
Vikas Verma · Thang Luong · Kenji Kawaguchi · Hieu Pham · Quoc Le
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Moreau-Yosida $f$-divergences
Dávid Terjék
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Fast Stochastic Bregman Gradient Methods: Sharp Analysis and Variance Reduction
Radu Alexandru Dragomir · Mathieu Even · Hadrien Hendrikx
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Actionable Models: Unsupervised Offline Reinforcement Learning of Robotic Skills
Yevgen Chebotar · Karol Hausman · Yao Lu · Ted Xiao · Dmitry Kalashnikov · Jacob Varley · Alexander Irpan · Benjamin Eysenbach · Ryan C Julian · Chelsea Finn · Sergey Levine
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Structured Convolutional Kernel Networks for Airline Crew Scheduling
Yassine Yaakoubi · Francois Soumis · Simon Lacoste-Julien
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Recomposing the Reinforcement Learning Building Blocks with Hypernetworks
Elad Sarafian · Shai Keynan · Sarit Kraus
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Data Augmentation for Meta-Learning
Renkun Ni · Micah Goldblum · Amr Sharaf · Kezhi Kong · Tom Goldstein
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Just Train Twice: Improving Group Robustness without Training Group Information
Evan Liu · Behzad Haghgoo · Annie Chen · Aditi Raghunathan · Pang Wei Koh · Shiori Sagawa · Percy Liang · Chelsea Finn
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Re-understanding Finite-State Representations of Recurrent Policy Networks
Mohamad H Danesh · Anurag Koul · Alan Fern · Saeed Khorram
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Learning and Planning in Average-Reward Markov Decision Processes
Yi Wan · Abhishek Naik · Richard Sutton
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Quantitative Understanding of VAE as a Non-linearly Scaled Isometric Embedding
Akira Nakagawa · Keizo Kato · Taiji Suzuki
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Revisiting Peng's Q($\lambda$) for Modern Reinforcement Learning
Tadashi Kozuno · Yunhao Tang · Mark Rowland · Remi Munos · Steven Kapturowski · Will Dabney · Michal Valko · David Abel
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Reinforcement Learning Under Moral Uncertainty
Adrien Ecoffet · Joel Lehman
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Data augmentation for deep learning based accelerated MRI reconstruction with limited data
Zalan Fabian · Reinhard Heckel · Mahdi Soltanolkotabi
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Poolingformer: Long Document Modeling with Pooling Attention
Hang ZHANG · Yeyun Gong · Yelong Shen · Weisheng Li · Jiancheng Lv · Nan Duan · Weizhu Chen
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Differentiable Sorting Networks for Scalable Sorting and Ranking Supervision
Felix Petersen · Christian Borgelt · Hilde Kuehne · Oliver Deussen
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
On a Combination of Alternating Minimization and Nesterov's Momentum
Sergey Guminov · Pavel Dvurechenskii · Nazarii Tupitsa · Alexander Gasnikov
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Regularized Submodular Maximization at Scale
Ehsan Kazemi · shervin minaee · Moran Feldman · Amin Karbasi
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Leveraging Language to Learn Program Abstractions and Search Heuristics
Catherine Wong · Kevin Ellis · Josh Tenenbaum · Jacob Andreas
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Equivariant message passing for the prediction of tensorial properties and molecular spectra
Kristof T Schütt · Oliver Unke · Michael Gastegger
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Three Operator Splitting with a Nonconvex Loss Function
Alp Yurtsever · Varun Mangalick · Suvrit Sra
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Temporally Correlated Task Scheduling for Sequence Learning
Xueqing Wu · Lewen Wang · Yingce Xia · Weiqing Liu · Lijun Wu · Shufang Xie · Tao Qin · Tie-Yan Liu
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
AutoAttend: Automated Attention Representation Search
Chaoyu Guan · Xin Wang · wenwu zhu
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Affine Invariant Analysis of Frank-Wolfe on Strongly Convex Sets
Thomas Kerdreux · Lewis Liu · Simon Lacoste-Julien · Damien Scieur
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
On Estimation in Latent Variable Models
Guanhua Fang · Ping Li
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
What Makes for End-to-End Object Detection?
Peize Sun · Yi Jiang · Enze Xie · Wenqi Shao · Zehuan Yuan · Changhu Wang · Ping Luo
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Understanding Failures in Out-of-Distribution Detection with Deep Generative Models
Lily Zhang · Mark Goldstein · Rajesh Ranganath
Session
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Poster Session 2
Oral
Wed Jul 21 05:00 AM -- 05:20 AM (PDT)
When All We Need is a Piece of the Pie: A Generic Framework for Optimizing Two-way Partial AUC
Zhiyong Yang · Qianqian Xu · Shilong Bao · Yuan He · Xiaochun Cao · Qingming Huang
Oral
Wed Jul 21 05:00 AM -- 05:20 AM (PDT)
Robust Density Estimation from Batches: The Best Things in Life are (Nearly) Free
Ayush Jain · Alon Orlitsky
Oral
Wed Jul 21 05:00 AM -- 05:20 AM (PDT)
Optimizing persistent homology based functions
Mathieu Carrière · Frederic Chazal · Marc Glisse · Yuichi Ike · Hariprasad Kannan · Yuhei Umeda
Oral
Wed Jul 21 05:00 AM -- 05:20 AM (PDT)
The Limits of Min-Max Optimization Algorithms: Convergence to Spurious Non-Critical Sets
Ya-Ping Hsieh · Panayotis Mertikopoulos · Volkan Cevher
Oral
Wed Jul 21 05:00 AM -- 05:20 AM (PDT)
APS: Active Pretraining with Successor Features
Hao Liu · Pieter Abbeel
Oral
Wed Jul 21 05:00 AM -- 05:20 AM (PDT)
Near Optimal Reward-Free Reinforcement Learning
Zhang Zihan · Simon Du · Xiangyang Ji
Oral
Wed Jul 21 05:00 AM -- 05:20 AM (PDT)
On Energy-Based Models with Overparametrized Shallow Neural Networks
Carles Domingo-Enrich · Alberto Bietti · Eric Vanden-Eijnden · Joan Bruna
Oral
Wed Jul 21 05:00 AM -- 05:20 AM (PDT)
Cross-domain Imitation from Observations
Dripta S. Raychaudhuri · Sujoy Paul · Jeroen Vanbaar · Amit Roy-Chowdhury
Oral
Wed Jul 21 05:00 AM -- 05:20 AM (PDT)
Improving Lossless Compression Rates via Monte Carlo Bits-Back Coding
Yangjun Ruan · Karen Ullrich · Daniel Severo · James Townsend · Ashish Khisti · Arnaud Doucet · Alireza Makhzani · Chris Maddison
Spotlight
Wed Jul 21 05:20 AM -- 05:25 AM (PDT)
Uncertainty Principles of Encoding GANs
Ruili Feng · Zhouchen Lin · jiapeng zhu · Deli Zhao · Jingren Zhou · Zheng-Jun Zha
Spotlight
Wed Jul 21 05:20 AM -- 05:25 AM (PDT)
Generalization Bounds in the Presence of Outliers: a Median-of-Means Study
Pierre Laforgue · Guillaume Staerman · Stephan Clémençon
Spotlight
Wed Jul 21 05:20 AM -- 05:25 AM (PDT)
Guided Exploration with Proximal Policy Optimization using a Single Demonstration
Gabriele Libardi · Gianni De Fabritiis · Sebastian Dittert
Spotlight
Wed Jul 21 05:20 AM -- 05:25 AM (PDT)
Debiasing a First-order Heuristic for Approximate Bi-level Optimization
Valerii Likhosherstov · Xingyou Song · Krzysztof Choromanski · Jared Quincy Davis · Adrian Weller
Spotlight
Wed Jul 21 05:20 AM -- 05:25 AM (PDT)
Sawtooth Factorial Topic Embeddings Guided Gamma Belief Network
Zhibin Duan · Dongsheng Wang · Bo Chen · CHAOJIE WANG · Wenchao Chen · yewen li · Jie Ren · Mingyuan Zhou
Spotlight
Wed Jul 21 05:20 AM -- 05:25 AM (PDT)
SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning
Kimin Lee · Michael Laskin · Aravind Srinivas · Pieter Abbeel
Spotlight
Wed Jul 21 05:20 AM -- 05:25 AM (PDT)
Theory of Spectral Method for Union of Subspaces-Based Random Geometry Graph
Gen Li · Yuantao Gu
Spotlight
Wed Jul 21 05:20 AM -- 05:25 AM (PDT)
Batch Value-function Approximation with Only Realizability
Tengyang Xie · Nan Jiang
Spotlight
Wed Jul 21 05:20 AM -- 05:25 AM (PDT)
SiameseXML: Siamese Networks meet Extreme Classifiers with 100M Labels
Kunal Dahiya · Ananye Agarwal · Deepak Saini · Gururaj K · Jian Jiao · Amit Singh · Sumeet Agarwal · Purushottam Kar · Manik Varma
Spotlight
Wed Jul 21 05:25 AM -- 05:30 AM (PDT)
Kernel Continual Learning
Mahammad Mahdi Derakhshani · Xiantong Zhen · Ling Shao · Cees Snoek
Spotlight
Wed Jul 21 05:25 AM -- 05:30 AM (PDT)
Adversarial Combinatorial Bandits with General Non-linear Reward Functions
Yanjun Han · Yining Wang · Xi Chen
Spotlight
Wed Jul 21 05:25 AM -- 05:30 AM (PDT)
Decoupling Exploration and Exploitation for Meta-Reinforcement Learning without Sacrifices
Evan Liu · Aditi Raghunathan · Percy Liang · Chelsea Finn
Spotlight
Wed Jul 21 05:25 AM -- 05:30 AM (PDT)
Disentangling Sampling and Labeling Bias for Learning in Large-output Spaces
Ankit Singh Rawat · Aditya Menon · Wittawat Jitkrittum · Sadeep Jayasumana · Felix Xinnan Yu · Sashank Jakkam Reddi · Sanjiv Kumar
Spotlight
Wed Jul 21 05:25 AM -- 05:30 AM (PDT)
Self-Paced Context Evaluation for Contextual Reinforcement Learning
Theresa Eimer · André Biedenkapp · Frank Hutter · Marius Lindauer
Spotlight
Wed Jul 21 05:25 AM -- 05:30 AM (PDT)
Meta Learning for Support Recovery in High-dimensional Precision Matrix Estimation
Qian Zhang · Yilin Zheng · Jean Honorio
Spotlight
Wed Jul 21 05:25 AM -- 05:30 AM (PDT)
SMG: A Shuffling Gradient-Based Method with Momentum
Trang Tran · Lam Nguyen · Quoc Tran-Dinh
Spotlight
Wed Jul 21 05:25 AM -- 05:30 AM (PDT)
Approximating a Distribution Using Weight Queries
Nadav Barak · Sivan Sabato
Spotlight
Wed Jul 21 05:25 AM -- 05:30 AM (PDT)
On the Proof of Global Convergence of Gradient Descent for Deep ReLU Networks with Linear Widths
Quynh Nguyen
Spotlight
Wed Jul 21 05:30 AM -- 05:35 AM (PDT)
Active Feature Acquisition with Generative Surrogate Models
Yang Li · Junier Oliva
Spotlight
Wed Jul 21 05:30 AM -- 05:35 AM (PDT)
Estimating $\alpha$-Rank from A Few Entries with Low Rank Matrix Completion
Yali Du · Xue Yan · Xu Chen · Jun Wang · Haifeng Zhang
Spotlight
Wed Jul 21 05:30 AM -- 05:35 AM (PDT)
XOR-CD: Linearly Convergent Constrained Structure Generation
Fan Ding · Jianzhu Ma · Jinbo Xu · Yexiang Xue
Spotlight
Wed Jul 21 05:30 AM -- 05:35 AM (PDT)
Regret Minimization in Stochastic Non-Convex Learning via a Proximal-Gradient Approach
Nadav Hallak · Panayotis Mertikopoulos · Volkan Cevher
Spotlight
Wed Jul 21 05:30 AM -- 05:35 AM (PDT)
Robust Inference for High-Dimensional Linear Models via Residual Randomization
Y. Samuel Wang · Si Kai Lee · Panos Toulis · Mladen Kolar
Spotlight
Wed Jul 21 05:30 AM -- 05:35 AM (PDT)
Unsupervised Skill Discovery with Bottleneck Option Learning
Jaekyeom Kim · Seohong Park · Gunhee Kim
Spotlight
Wed Jul 21 05:30 AM -- 05:35 AM (PDT)
Learning Randomly Perturbed Structured Predictors for Direct Loss Minimization
Hedda Cohen Indelman · Tamir Hazan
Spotlight
Wed Jul 21 05:30 AM -- 05:35 AM (PDT)
Model-Free and Model-Based Policy Evaluation when Causality is Uncertain
David Bruns-Smith
Spotlight
Wed Jul 21 05:30 AM -- 05:35 AM (PDT)
Tight Bounds on the Smallest Eigenvalue of the Neural Tangent Kernel for Deep ReLU Networks
Quynh Nguyen · Marco Mondelli · Guido Montufar
Spotlight
Wed Jul 21 05:35 AM -- 05:40 AM (PDT)
Revenue-Incentive Tradeoffs in Dynamic Reserve Pricing
Yuan Deng · Sébastien Lahaie · Vahab Mirrokni · Song Zuo
Spotlight
Wed Jul 21 05:35 AM -- 05:40 AM (PDT)
Bootstrapping Fitted Q-Evaluation for Off-Policy Inference
Botao Hao · Xiang Ji · Yaqi Duan · Hao Lu · Csaba Szepesvari · Mengdi Wang
Spotlight
Wed Jul 21 05:35 AM -- 05:40 AM (PDT)
Characterizing the Gap Between Actor-Critic and Policy Gradient
Junfeng Wen · Saurabh Kumar · Ramki Gummadi · Dale Schuurmans
Spotlight
Wed Jul 21 05:35 AM -- 05:40 AM (PDT)
Functional Space Analysis of Local GAN Convergence
Valentin Khrulkov · Artem Babenko · Ivan Oseledets
Spotlight
Wed Jul 21 05:35 AM -- 05:40 AM (PDT)
MARINA: Faster Non-Convex Distributed Learning with Compression
Eduard Gorbunov · Konstantin Burlachenko · Zhize Li · Peter Richtarik
Spotlight
Wed Jul 21 05:35 AM -- 05:40 AM (PDT)
Improving Molecular Graph Neural Network Explainability with Orthonormalization and Induced Sparsity
Ryan Henderson · Djork-Arné Clevert · Floriane Montanari
Spotlight
Wed Jul 21 05:35 AM -- 05:40 AM (PDT)
TeachMyAgent: a Benchmark for Automatic Curriculum Learning in Deep RL
Clément Romac · Rémy Portelas · Katja Hofmann · Pierre-Yves Oudeyer
Spotlight
Wed Jul 21 05:35 AM -- 05:40 AM (PDT)
Don’t Just Blame Over-parametrization for Over-confidence: Theoretical Analysis of Calibration in Binary Classification
Yu Bai · Song Mei · Huan Wang · Caiming Xiong
Spotlight
Wed Jul 21 05:35 AM -- 05:40 AM (PDT)
ARMS: Antithetic-REINFORCE-Multi-Sample Gradient for Binary Variables
Alek Dimitriev · Mingyuan Zhou
Spotlight
Wed Jul 21 05:40 AM -- 05:45 AM (PDT)
On Learnability via Gradient Method for Two-Layer ReLU Neural Networks in Teacher-Student Setting
Shunta Akiyama · Taiji Suzuki
Spotlight
Wed Jul 21 05:40 AM -- 05:45 AM (PDT)
Generalization Guarantees for Neural Architecture Search with Train-Validation Split
Samet Oymak · Mingchen Li · Mahdi Soltanolkotabi
Spotlight
Wed Jul 21 05:40 AM -- 05:45 AM (PDT)
Grounding Language to Entities and Dynamics for Generalization in Reinforcement Learning
Austin W. Hanjie · Victor Zhong · Karthik Narasimhan
Spotlight
Wed Jul 21 05:40 AM -- 05:45 AM (PDT)
Bilevel Optimization: Convergence Analysis and Enhanced Design
Kaiyi Ji · Junjie Yang · Yingbin LIANG
Spotlight
Wed Jul 21 05:40 AM -- 05:45 AM (PDT)
Towards the Unification and Robustness of Perturbation and Gradient Based Explanations
Sushant Agarwal · Shahin Jabbari · Chirag Agarwal · Sohini Upadhyay · Steven Wu · Himabindu Lakkaraju
Spotlight
Wed Jul 21 05:40 AM -- 05:45 AM (PDT)
Composing Normalizing Flows for Inverse Problems
Jay Whang · Erik Lindgren · Alexandros Dimakis
Spotlight
Wed Jul 21 05:40 AM -- 05:45 AM (PDT)
Exact Gap between Generalization Error and Uniform Convergence in Random Feature Models
Zitong Yang · Yu Bai · Song Mei
Spotlight
Wed Jul 21 05:40 AM -- 05:45 AM (PDT)
Evaluating Robustness of Predictive Uncertainty Estimation: Are Dirichlet-based Models Reliable?
Anna-Kathrin Kopetzki · Bertrand Charpentier · Daniel Zügner · Sandhya Giri · Stephan Günnemann
Spotlight
Wed Jul 21 05:40 AM -- 05:45 AM (PDT)
Spectral Normalisation for Deep Reinforcement Learning: An Optimisation Perspective
Florin Gogianu · Tudor Berariu · Mihaela Rosca · Claudia Clopath · Lucian Busoniu · Razvan Pascanu
Spotlight
Wed Jul 21 05:45 AM -- 05:50 AM (PDT)
Meta-learning Hyperparameter Performance Prediction with Neural Processes
Ying WEI · Peilin Zhao · Junzhou Huang
Spotlight
Wed Jul 21 05:45 AM -- 05:50 AM (PDT)
Provable Generalization of SGD-trained Neural Networks of Any Width in the Presence of Adversarial Label Noise
Spencer Frei · Yuan Cao · Quanquan Gu
Spotlight
Wed Jul 21 05:45 AM -- 05:50 AM (PDT)
Optimal Estimation of High Dimensional Smooth Additive Function Based on Noisy Observations
Fan Zhou · Ping Li
Spotlight
Wed Jul 21 05:45 AM -- 05:50 AM (PDT)
Spectral vertex sparsifiers and pair-wise spanners over distributed graphs
Chunjiang Zhu · Qinqing Liu · Jinbo Bi
Spotlight
Wed Jul 21 05:45 AM -- 05:50 AM (PDT)
Data-efficient Hindsight Off-policy Option Learning
Markus Wulfmeier · Dushyant Rao · Roland Hafner · Thomas Lampe · Abbas Abdolmaleki · Tim Hertweck · Michael Neunert · Dhruva Tirumala Bukkapatnam · Noah Siegel · Nicolas Heess · Martin Riedmiller
Spotlight
Wed Jul 21 05:45 AM -- 05:50 AM (PDT)
Learning from History for Byzantine Robust Optimization
Sai Praneeth Reddy Karimireddy · Lie He · Martin Jaggi
Spotlight
Wed Jul 21 05:45 AM -- 05:50 AM (PDT)
Nonparametric Hamiltonian Monte Carlo
Carol Mak · Fabian Zaiser · Luke Ong
Spotlight
Wed Jul 21 05:45 AM -- 05:50 AM (PDT)
Accelerating Safe Reinforcement Learning with Constraint-mismatched Baseline Policies
Jimmy (Tsung-Yen) Yang · Justinian Rosca · Karthik Narasimhan · Peter Ramadge
Spotlight
Wed Jul 21 05:45 AM -- 05:50 AM (PDT)
Classifying high-dimensional Gaussian mixtures: Where kernel methods fail and neural networks succeed
Maria Refinetti · Sebastian Goldt · FLORENT KRZAKALA · Lenka Zdeborova
Q&A
Wed Jul 21 05:50 AM -- 05:55 AM (PDT)
Q&A
Q&A
Wed Jul 21 05:50 AM -- 05:55 AM (PDT)
Q&A
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Wed Jul 21 05:50 AM -- 05:55 AM (PDT)
Q&A
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Wed Jul 21 05:50 AM -- 05:55 AM (PDT)
Q&A
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Wed Jul 21 05:50 AM -- 05:55 AM (PDT)
Q&A
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Wed Jul 21 05:50 AM -- 05:55 AM (PDT)
Q&A
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Wed Jul 21 05:50 AM -- 05:55 AM (PDT)
Q&A
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Wed Jul 21 05:50 AM -- 05:55 AM (PDT)
Q&A
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Wed Jul 21 05:50 AM -- 05:55 AM (PDT)
Q&A
Oral
Wed Jul 21 06:00 AM -- 06:20 AM (PDT)
Model-based Reinforcement Learning for Continuous Control with Posterior Sampling
Ying Fan · Yifei Ming
Oral
Wed Jul 21 06:00 AM -- 06:20 AM (PDT)
Dynamic Game Theoretic Neural Optimizer
Guan-Horng Liu · Tianrong Chen · Evangelos Theodorou
Oral
Wed Jul 21 06:00 AM -- 06:20 AM (PDT)
Reserve Price Optimization for First Price Auctions in Display Advertising
Zhe Feng · Sébastien Lahaie · Jon Schneider · Jinchao Ye
Oral
Wed Jul 21 06:00 AM -- 06:20 AM (PDT)
Understanding Instance-Level Label Noise: Disparate Impacts and Treatments
Yang Liu
Oral
Wed Jul 21 06:00 AM -- 06:20 AM (PDT)
Regret and Cumulative Constraint Violation Analysis for Online Convex Optimization with Long Term Constraints
Xinlei Yi · Xiuxian Li · Tao Yang · Lihua Xie · Tianyou Chai · Karl Johansson
Oral
Wed Jul 21 06:00 AM -- 06:20 AM (PDT)
Elastic Graph Neural Networks
Xiaorui Liu · Wei Jin · Yao Ma · Yaxin Li · Hua Liu · Yiqi Wang · Ming Yan · Jiliang Tang
Oral
Wed Jul 21 06:00 AM -- 06:20 AM (PDT)
Agnostic Learning of Halfspaces with Gradient Descent via Soft Margins
Spencer Frei · Yuan Cao · Quanquan Gu
Oral
Wed Jul 21 06:00 AM -- 06:20 AM (PDT)
Provably Efficient Fictitious Play Policy Optimization for Zero-Sum Markov Games with Structured Transitions
Shuang Qiu · Xiaohan Wei · Jieping Ye · Zhaoran Wang · Zhuoran Yang
Oral
Wed Jul 21 06:00 AM -- 06:20 AM (PDT)
Bilinear Classes: A Structural Framework for Provable Generalization in RL
Simon Du · Sham Kakade · Jason Lee · Shachar Lovett · Gaurav Mahajan · Wen Sun · Ruosong Wang
Spotlight
Wed Jul 21 06:20 AM -- 06:25 AM (PDT)
Two-way kernel matrix puncturing: towards resource-efficient PCA and spectral clustering
Romain COUILLET · Florent Chatelain · Nicolas Le Bihan
Spotlight
Wed Jul 21 06:20 AM -- 06:25 AM (PDT)
Near-Optimal Confidence Sequences for Bounded Random Variables
Arun Kuchibhotla · Qinqing Zheng
Spotlight
Wed Jul 21 06:20 AM -- 06:25 AM (PDT)
Selecting Data Augmentation for Simulating Interventions
Maximilian Ilse · Jakub Tomczak · Patrick Forré
Spotlight
Wed Jul 21 06:20 AM -- 06:25 AM (PDT)
Zero-Shot Knowledge Distillation from a Decision-Based Black-Box Model
Zi Wang
Spotlight
Wed Jul 21 06:20 AM -- 06:25 AM (PDT)
Align, then memorise: the dynamics of learning with feedback alignment
Maria Refinetti · Stéphane d'Ascoli · Ruben Ohana · Sebastian Goldt
Spotlight
Wed Jul 21 06:20 AM -- 06:25 AM (PDT)
How could Neural Networks understand Programs?
Dinglan Peng · Shuxin Zheng · Yatao Li · Guolin Ke · Di He · Tie-Yan Liu
Spotlight
Wed Jul 21 06:20 AM -- 06:25 AM (PDT)
Risk Bounds and Rademacher Complexity in Batch Reinforcement Learning
Yaqi Duan · Chi Jin · Zhiyuan Li
Spotlight
Wed Jul 21 06:20 AM -- 06:25 AM (PDT)
Megaverse: Simulating Embodied Agents at One Million Experiences per Second
Aleksei Petrenko · Erik Wijmans · Brennan Shacklett · Vladlen Koltun
Spotlight
Wed Jul 21 06:20 AM -- 06:25 AM (PDT)
Principled Exploration via Optimistic Bootstrapping and Backward Induction
Chenjia Bai · Lingxiao Wang · Lei Han · Jianye Hao · Animesh Garg · Peng Liu · Zhaoran Wang
Spotlight
Wed Jul 21 06:25 AM -- 06:30 AM (PDT)
Scaling Multi-Agent Reinforcement Learning with Selective Parameter Sharing
Filippos Christianos · Georgios Papoudakis · Muhammad Arrasy Rahman · Stefano V. Albrecht
Spotlight
Wed Jul 21 06:25 AM -- 06:30 AM (PDT)
Connecting Optimal Ex-Ante Collusion in Teams to Extensive-Form Correlation: Faster Algorithms and Positive Complexity Results
Gabriele Farina · Andrea Celli · Nicola Gatti · Tuomas Sandholm
Spotlight
Wed Jul 21 06:25 AM -- 06:30 AM (PDT)
Joint Online Learning and Decision-making via Dual Mirror Descent
Alfonso Lobos Ruiz · Paul Grigas · Zheng Wen
Spotlight
Wed Jul 21 06:25 AM -- 06:30 AM (PDT)
Online Policy Gradient for Model Free Learning of Linear Quadratic Regulators with √T Regret
Asaf Cassel · Tomer Koren
Spotlight
Wed Jul 21 06:25 AM -- 06:30 AM (PDT)
Training Data Subset Selection for Regression with Controlled Generalization Error
Durga S · Rishabh Iyer · Ganesh Ramakrishnan · Abir De
Spotlight
Wed Jul 21 06:25 AM -- 06:30 AM (PDT)
ProGraML: A Graph-based Program Representation for Data Flow Analysis and Compiler Optimizations
Chris Cummins · Zacharias Fisches · Tal Ben-Nun · Torsten Hoefler · Michael O'Boyle · Hugh Leather
Spotlight
Wed Jul 21 06:25 AM -- 06:30 AM (PDT)
Ensemble Bootstrapping for Q-Learning
Oren Peer · Chen Tessler · Nadav Merlis · Ron Meir
Spotlight
Wed Jul 21 06:25 AM -- 06:30 AM (PDT)
A Lower Bound for the Sample Complexity of Inverse Reinforcement Learning
Abi Komanduru · Jean Honorio
Spotlight
Wed Jul 21 06:25 AM -- 06:30 AM (PDT)
A Modular Analysis of Provable Acceleration via Polyak's Momentum: Training a Wide ReLU Network and a Deep Linear Network
Jun-Kun Wang · Chi-Heng Lin · Jacob Abernethy
Spotlight
Wed Jul 21 06:30 AM -- 06:35 AM (PDT)
Towards Open Ad Hoc Teamwork Using Graph-based Policy Learning
Muhammad Arrasy Rahman · Niklas Hopner · Filippos Christianos · Stefano V. Albrecht
Spotlight
Wed Jul 21 06:30 AM -- 06:35 AM (PDT)
Reward Identification in Inverse Reinforcement Learning
Kuno Kim · Shivam Garg · Kirankumar Shiragur · Stefano Ermon
Spotlight
Wed Jul 21 06:30 AM -- 06:35 AM (PDT)
Finite-Sample Analysis of Off-Policy Natural Actor-Critic Algorithm
sajad khodadadian · Zaiwei Chen · Siva Maguluri
Spotlight
Wed Jul 21 06:30 AM -- 06:35 AM (PDT)
How Do Adam and Training Strategies Help BNNs Optimization
Zechun Liu · Zhiqiang Shen · Shichao Li · Koen Helwegen · Dong Huang · Kwang-Ting Cheng
Spotlight
Wed Jul 21 06:30 AM -- 06:35 AM (PDT)
Online A-Optimal Design and Active Linear Regression
Xavier Fontaine · Pierre Perrault · Michal Valko · Vianney Perchet
Spotlight
Wed Jul 21 06:30 AM -- 06:35 AM (PDT)
Opening the Blackbox: Accelerating Neural Differential Equations by Regularizing Internal Solver Heuristics
Avik Pal · Yingbo Ma · Viral Shah · Christopher Rackauckas
Spotlight
Wed Jul 21 06:30 AM -- 06:35 AM (PDT)
Descending through a Crowded Valley - Benchmarking Deep Learning Optimizers
Robin M Schmidt · Frank Schneider · Philipp Hennig
Spotlight
Wed Jul 21 06:30 AM -- 06:35 AM (PDT)
Learning to Price Against a Moving Target
Renato Leme · Balasubramanian Sivan · Yifeng Teng · Pratik Worah
Spotlight
Wed Jul 21 06:30 AM -- 06:35 AM (PDT)
Estimation and Quantization of Expected Persistence Diagrams
Vincent Divol · Theo Lacombe
Spotlight
Wed Jul 21 06:35 AM -- 06:40 AM (PDT)
Fairness and Bias in Online Selection
Jose Correa · Andres Cristi · Paul Duetting · Ashkan Norouzi-Fard
Spotlight
Wed Jul 21 06:35 AM -- 06:40 AM (PDT)
Learning from Noisy Labels with No Change to the Training Process
Mingyuan Zhang · Jane Lee · Shivani Agarwal
Spotlight
Wed Jul 21 06:35 AM -- 06:40 AM (PDT)
Fast Algorithms for Stackelberg Prediction Game with Least Squares Loss
jiali wang · He Chen · Rujun Jiang · Xudong Li · Zihao Li
Spotlight
Wed Jul 21 06:35 AM -- 06:40 AM (PDT)
A Regret Minimization Approach to Iterative Learning Control
Naman Agarwal · Elad Hazan · Anirudha Majumdar · Karan Singh
Spotlight
Wed Jul 21 06:35 AM -- 06:40 AM (PDT)
Online Optimization in Games via Control Theory: Connecting Regret, Passivity and Poincaré Recurrence
Yun Kuen Cheung · Georgios Piliouras
Spotlight
Wed Jul 21 06:35 AM -- 06:40 AM (PDT)
Post-selection inference with HSIC-Lasso
Tobias Freidling · Benjamin Poignard · Héctor Climente-González · Makoto Yamada
Spotlight
Wed Jul 21 06:35 AM -- 06:40 AM (PDT)
Off-Belief Learning
Hengyuan Hu · Adam Lerer · Brandon Cui · Luis Pineda · Noam Brown · Jakob Foerster
Spotlight
Wed Jul 21 06:35 AM -- 06:40 AM (PDT)
Quantifying and Reducing Bias in Maximum Likelihood Estimation of Structured Anomalies
Uthsav Chitra · Kimberly Ding · Jasper C.H. Lee · Benjamin Raphael
Spotlight
Wed Jul 21 06:35 AM -- 06:40 AM (PDT)
Tractable structured natural-gradient descent using local parameterizations
Wu Lin · Frank Nielsen · Khan Emtiyaz · Mark Schmidt
AffinityWorkshop
Wed Jul 21 06:40 AM -- 08:45 PM (PDT)
Women in Machine Learning (WiML) Un-Workshop
Wenshuo Guo · Beliz Gokkaya · Arushi G K Majha · Vaidheeswaran Archana · Berivan Isik · Olivia Choudhury · Liyue Shen · Hadia Samil · Tatjana Chavdarova
Spotlight
Wed Jul 21 06:40 AM -- 06:45 AM (PDT)
Efficient Performance Bounds for Primal-Dual Reinforcement Learning from Demonstrations
Angeliki Kamoutsi · Goran Banjac · John Lygeros
Spotlight
Wed Jul 21 06:40 AM -- 06:45 AM (PDT)
Learning from Nested Data with Ornstein Auto-Encoders
Youngwon Choi · Sungdong Lee · Joong-Ho Won
Spotlight
Wed Jul 21 06:40 AM -- 06:45 AM (PDT)
Towards Rigorous Interpretations: a Formalisation of Feature Attribution
Darius Afchar · Vincent Guigue · Romain Hennequin
Spotlight
Wed Jul 21 06:40 AM -- 06:45 AM (PDT)
TempoRL: Learning When to Act
André Biedenkapp · Raghu Rajan · Frank Hutter · Marius Lindauer
Spotlight
Wed Jul 21 06:40 AM -- 06:45 AM (PDT)
Approximate Group Fairness for Clustering
Bo Li · Lijun Li · Ankang Sun · Chenhao Wang · Yingfan Wang
Spotlight
Wed Jul 21 06:40 AM -- 06:45 AM (PDT)
Provable Robustness of Adversarial Training for Learning Halfspaces with Noise
Difan Zou · Spencer Frei · Quanquan Gu
Spotlight
Wed Jul 21 06:40 AM -- 06:45 AM (PDT)
On Reinforcement Learning with Adversarial Corruption and Its Application to Block MDP
Tianhao Wu · Yunchang Yang · Simon Du · Liwei Wang
Spotlight
Wed Jul 21 06:40 AM -- 06:45 AM (PDT)
ChaCha for Online AutoML
Qingyun Wu · Chi Wang · John Langford · Paul Mineiro · Marco Rossi
Spotlight
Wed Jul 21 06:40 AM -- 06:45 AM (PDT)
What does LIME really see in images?
Damien Garreau · Dina Mardaoui
Spotlight
Wed Jul 21 06:45 AM -- 06:50 AM (PDT)
Narrow Margins: Classification, Margins and Fat Tails
Francois Buet-Golfouse
Spotlight
Wed Jul 21 06:45 AM -- 06:50 AM (PDT)
Kernel-Based Reinforcement Learning: A Finite-Time Analysis
Omar Darwiche Domingues · Pierre Menard · Matteo Pirotta · Emilie Kaufmann · Michal Valko
Spotlight
Wed Jul 21 06:45 AM -- 06:50 AM (PDT)
State Relevance for Off-Policy Evaluation
Simon Shen · Yecheng Ma · Omer Gottesman · Finale Doshi-Velez