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The 2021 schedule is still incomplete
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Poster
@ Virtual
Positive-Negative Momentum: Manipulating Stochastic Gradient Noise to Improve Generalization
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
Laura Wynter · 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
Affinity Workshop
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 -- 11:15 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 -- 10:59 AM (PDT)
Sparsity in Deep Learning: Pruning and growth for efficient inference and training
Torsten Hoefler · Dan Alistarh
[ Paper ]
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 -- 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 -- 11:00 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 -- 11:05 AM (PDT) @ Virtual
Continual Learning with Deep Architectures
Vincenzo Lomonaco · Irina Rish
[ Slides] 
Tutorial
Mon Jul 19 12:00 PM -- 02:50 PM (PDT)
Social Implications of Large Language Models
Hal Daumé III · 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
Unsupervised Learning for Reinforcement Learning
Aravind Srinivas · Pieter Abbeel
[ 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] 
Affinity Poster Session
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)
Attention is not all you need: pure attention loses rank doubly exponentially with depth
In Deep Learning Applications
Yihe Dong · Jean-Baptiste Cordonnier · Andreas Loukas
[ Paper ]
Oral
Tue Jul 20 05:00 AM -- 05:20 AM (PDT)
Relative Positional Encoding for Transformers with Linear Complexity
In Deep Learning Architectures
Antoine Liutkus · Ondřej Cífka · Shih-Lun Wu · Umut Simsekli · Yi-Hsuan Yang · Gaël RICHARD
[ Paper ]
Oral
Tue Jul 20 05:00 AM -- 05:20 AM (PDT)
Scalable Computations of Wasserstein Barycenter via Input Convex Neural Networks
In Optimal Transport
Jiaojiao Fan · Amirhossein Taghvaei · Yongxin Chen
[ Paper ]
Oral
Tue Jul 20 05:00 AM -- 05:20 AM (PDT)
Scalable Evaluation of Multi-Agent Reinforcement Learning with Melting Pot
In Reinforcement Learning (Multi-agent)
Joel Z Leibo · Edgar Duenez-Guzman · Alexander Vezhnevets · John Agapiou · Peter Sunehag · Raphael Koster · Jayd Matyas · Charles Beattie · Igor Mordatch · Thore Graepel
[ Paper ]
Oral
Tue Jul 20 05:00 AM -- 05:20 AM (PDT)
Size-Invariant Graph Representations for Graph Classification Extrapolations
In Graph Learning
Beatrice Bevilacqua · Yangze Zhou · Bruno Ribeiro
[ Paper ]
Oral
Tue Jul 20 05:00 AM -- 05:20 AM (PDT)
Optimal Complexity in Decentralized Training
In Optimization (Distributed)
Yucheng Lu · Christopher De Sa
[ Paper ]
Oral
Tue Jul 20 05:00 AM -- 05:20 AM (PDT)
Phasic Policy Gradient
In Deep Reinforcement Learning 1
Karl Cobbe · Jacob Hilton · Oleg Klimov · John Schulman
[ Paper ]
Oral
Tue Jul 20 05:00 AM -- 05:20 AM (PDT)
Deeply-Debiased Off-Policy Interval Estimation
In Deep Reinforcement Learning 2
Chengchun Shi · Runzhe Wan · Victor Chernozhukov · Rui Song
[ Paper ]
Oral
Tue Jul 20 05:00 AM -- 05:20 AM (PDT)
BORE: Bayesian Optimization by Density-Ratio Estimation
In Auto-ML and Optimization
Louis Chi-Chun Tiao · Aaron Klein · Matthias W Seeger · Edwin V Bonilla · Cedric Archambeau · Fabio Ramos
[ Paper ]
Spotlight
Tue Jul 20 05:20 AM -- 05:25 AM (PDT)
Navigation Turing Test (NTT): Learning to Evaluate Human-Like Navigation
In Deep Learning Applications
Sam Devlin · Raluca Georgescu · Ida Momennejad · Jaroslaw Rzepecki · Evelyn Zuniga · Gavin Costello · Guy Leroy · Ali Shaw · Katja Hofmann
[ Paper ]
Spotlight
Tue Jul 20 05:20 AM -- 05:25 AM (PDT)
Consistent Nonparametric Methods for Network Assisted Covariate Estimation
In Graph Learning
Xueyu Mao · Deepayan Chakrabarti · Purnamrita Sarkar
[ Paper ]
Spotlight
Tue Jul 20 05:20 AM -- 05:25 AM (PDT)
UneVEn: Universal Value Exploration for Multi-Agent Reinforcement Learning
In Reinforcement Learning (Multi-agent)
Tarun Gupta · Anuj Mahajan · Bei Peng · Wendelin Boehmer · Shimon Whiteson
[ Paper ]
Spotlight
Tue Jul 20 05:20 AM -- 05:25 AM (PDT)
AutoSampling: Search for Effective Data Sampling Schedules
In Auto-ML and Optimization
MING SUN · Haoxuan Dou · Baopu Li · Junjie Yan · Wanli Ouyang · Lei Cui
[ Paper ]
Spotlight
Tue Jul 20 05:20 AM -- 05:25 AM (PDT)
Offline Contextual Bandits with Overparameterized Models
In Deep Reinforcement Learning 2
David Brandfonbrener · William Whitney · Rajesh Ranganath · Joan Bruna
[ Paper ]
Spotlight
Tue Jul 20 05:20 AM -- 05:25 AM (PDT)
Reinforcement Learning with Prototypical Representations
In Deep Reinforcement Learning 1
Denis Yarats · Rob Fergus · Alessandro Lazaric · Lerrel Pinto
[ Paper ]
Spotlight
Tue Jul 20 05:20 AM -- 05:25 AM (PDT)
Outlier-Robust Optimal Transport
In Optimal Transport
Debarghya Mukherjee · Aritra Guha · Justin Solomon · Yuekai Sun · Mikhail Yurochkin
[ Paper ]
Spotlight
Tue Jul 20 05:20 AM -- 05:25 AM (PDT)
Stochastic Sign Descent Methods: New Algorithms and Better Theory
In Optimization (Distributed)
Mher Safaryan · Peter Richtarik
[ Paper ]
Spotlight
Tue Jul 20 05:20 AM -- 05:25 AM (PDT)
A Free Lunch From ANN: Towards Efficient, Accurate Spiking Neural Networks Calibration
In Deep Learning Architectures
Yuhang Li · Shikuang Deng · Xin Dong · Ruihao Gong · Shi Gu
[ Paper ]
Spotlight
Tue Jul 20 05:25 AM -- 05:30 AM (PDT)
Explainable Automated Graph Representation Learning with Hyperparameter Importance
In Graph Learning
Xin Wang · Shuyi Fan · Kun Kuang · Wenwu Zhu
[ Paper ]
Spotlight
Tue Jul 20 05:25 AM -- 05:30 AM (PDT)
A Policy Gradient Algorithm for Learning to Learn in Multiagent Reinforcement Learning
In Reinforcement Learning (Multi-agent)
Dong Ki Kim · Miao Liu · Matthew Riemer · Chuangchuang Sun · Marwa Abdulhai · Golnaz Habibi · Sebastian Lopez-Cot · Gerald Tesauro · Jonathan How
[ Paper ]
Spotlight
Tue Jul 20 05:25 AM -- 05:30 AM (PDT)
Dataset Dynamics via Gradient Flows in Probability Space
In Optimal Transport
David Alvarez-Melis · Nicolo Fusi
[ Paper ]
Spotlight
Tue Jul 20 05:25 AM -- 05:30 AM (PDT)
A Unified Lottery Ticket Hypothesis for Graph Neural Networks
In Deep Learning Architectures
Tianlong Chen · Yongduo Sui · Xuxi Chen · Aston Zhang · Zhangyang “Atlas” Wang
[ Paper ]
Spotlight
Tue Jul 20 05:25 AM -- 05:30 AM (PDT)
Bias-Variance Reduced Local SGD for Less Heterogeneous Federated Learning
In Optimization (Distributed)
Tomoya Murata · Taiji Suzuki
[ Paper ]
Spotlight
Tue Jul 20 05:25 AM -- 05:30 AM (PDT)
Diversity Actor-Critic: Sample-Aware Entropy Regularization for Sample-Efficient Exploration
In Deep Reinforcement Learning 1
Seungyul Han · Youngchul Sung
[ Paper ]
Spotlight
Tue Jul 20 05:25 AM -- 05:30 AM (PDT)
Demonstration-Conditioned Reinforcement Learning for Few-Shot Imitation
In Deep Reinforcement Learning 2
Christopher Dance · Perez Julien · Théo Cachet
[ Paper ]
Spotlight
Tue Jul 20 05:25 AM -- 05:30 AM (PDT)
HardCoRe-NAS: Hard Constrained diffeRentiable Neural Architecture Search
In Auto-ML and Optimization
Niv Nayman · Yonathan Aflalo · Asaf Noy · Lihi Zelnik
[ Paper ]
Spotlight
Tue Jul 20 05:25 AM -- 05:30 AM (PDT)
Efficient Generative Modelling of Protein Structure Fragments using a Deep Markov Model
In Deep Learning Applications
Christian Thygesen · Christian Skjødt Steenmans · Ahmad Salim Al-Sibahi · Lys Sanz Moreta · Anders Bundgård Sørensen · Thomas Hamelryck
[ Paper ]
Spotlight
Tue Jul 20 05:30 AM -- 05:35 AM (PDT)
Muesli: Combining Improvements in Policy Optimization
In Deep Reinforcement Learning 1
Matteo Hessel · Ivo Danihelka · Fabio Viola · Arthur Guez · Simon Schmitt · Laurent Sifre · Theophane Weber · David Silver · Hado van Hasselt
[ Paper ]
Spotlight
Tue Jul 20 05:30 AM -- 05:35 AM (PDT)
A New Representation of Successor Features for Transfer across Dissimilar Environments
In Deep Reinforcement Learning 2
Majid Abdolshah · Hung Le · Thommen Karimpanal George · Sunil Gupta · Santu Rana · Svetha Venkatesh
[ Paper ]
Spotlight
Tue Jul 20 05:30 AM -- 05:35 AM (PDT)
Exploiting structured data for learning contagious diseases under incomplete testing
In Deep Learning Applications
Maggie Makar · Lauren R West · David C Hooper · Eric Horvitz · Erica Shenoy · John Guttag
[ Paper ]
Spotlight
Tue Jul 20 05:30 AM -- 05:35 AM (PDT)
A Hybrid Variance-Reduced Method for Decentralized Stochastic Non-Convex Optimization
In Optimization (Distributed)
Ran Xin · Usman Khan · Soummya Kar
[ Paper ]
Spotlight
Tue Jul 20 05:30 AM -- 05:35 AM (PDT)
Multi-Agent Training beyond Zero-Sum with Correlated Equilibrium Meta-Solvers
In Reinforcement Learning (Multi-agent)
Luke Marris · Paul Muller · Marc Lanctot · Karl Tuyls · Thore Graepel
[ Paper ]
Spotlight
Tue Jul 20 05:30 AM -- 05:35 AM (PDT)
Bias-Robust Bayesian Optimization via Dueling Bandits
In Auto-ML and Optimization
Johannes Kirschner · Andreas Krause
[ Paper ]
Spotlight
Tue Jul 20 05:30 AM -- 05:35 AM (PDT)
Breaking the Limits of Message Passing Graph Neural Networks
In Graph Learning
Muhammet Balcilar · Pierre Heroux · Benoit Gauzere · Pascal Vasseur · Sebastien Adam · Paul Honeine
[ Paper ]
Spotlight
Tue Jul 20 05:30 AM -- 05:35 AM (PDT)
Generative Adversarial Transformers
In Deep Learning Architectures
Drew A. Hudson · Larry Zitnick
[ Paper ]
Spotlight
Tue Jul 20 05:30 AM -- 05:35 AM (PDT)
Sliced Iterative Normalizing Flows
In Optimal Transport
Biwei Dai · Uros Seljak
[ Paper ]
Spotlight
Tue Jul 20 05:35 AM -- 05:40 AM (PDT)
PC-MLP: Model-based Reinforcement Learning with Policy Cover Guided Exploration
In Reinforcement Learning (Multi-agent)
Yuda Song · Wen Sun
[ Paper ]
Spotlight
Tue Jul 20 05:35 AM -- 05:40 AM (PDT)
Asynchronous Decentralized Optimization With Implicit Stochastic Variance Reduction
In Optimization (Distributed)
Kenta Niwa · Guoqiang Zhang · W. Bastiaan Kleijn · Noboru Harada · Hiroshi Sawada · Akinori Fujino
[ Paper ]
Spotlight
Tue Jul 20 05:35 AM -- 05:40 AM (PDT)
Evolving Attention with Residual Convolutions
In Deep Learning Architectures
Yujing Wang · Yaming Yang · Jiangang Bai · Mingliang Zhang · Jing Bai · JING YU · Ce Zhang · Gao Huang · Yunhai Tong
[ Paper ]
Spotlight
Tue Jul 20 05:35 AM -- 05:40 AM (PDT)
Unsupervised Learning of Visual 3D Keypoints for Control
In Deep Reinforcement Learning 1
Boyuan Chen · Pieter Abbeel · Deepak Pathak
[ Paper ]
Spotlight
Tue Jul 20 05:35 AM -- 05:40 AM (PDT)
Preferential Temporal Difference Learning
In Deep Reinforcement Learning 2
Nishanth Anand · Doina Precup
[ Paper ]
Spotlight
Tue Jul 20 05:35 AM -- 05:40 AM (PDT)
Low-Rank Sinkhorn Factorization
In Optimal Transport
Meyer Scetbon · Marco Cuturi · Gabriel Peyré
[ Paper ]
Spotlight
Tue Jul 20 05:35 AM -- 05:40 AM (PDT)
Strategic Classification Made Practical
In Deep Learning Applications
Sagi Levanon · Nir Rosenfeld
[ Paper ]
Spotlight
Tue Jul 20 05:35 AM -- 05:40 AM (PDT)
Zeroth-Order Non-Convex Learning via Hierarchical Dual Averaging
In Auto-ML and Optimization
Amélie Héliou · Matthieu Martin · Panayotis Mertikopoulos · Thibaud J Rahier
[ Paper ]
Spotlight
Tue Jul 20 05:35 AM -- 05:40 AM (PDT)
From Local Structures to Size Generalization in Graph Neural Networks
In Graph Learning
Gilad Yehudai · Ethan Fetaya · Eli Meirom · Gal Chechik · Haggai Maron
[ Paper ]
Spotlight
Tue Jul 20 05:40 AM -- 05:45 AM (PDT)
Large-Margin Contrastive Learning with Distance Polarization Regularizer
In Deep Learning Applications
Shuo Chen · Gang Niu · Chen Gong · Jun Li · Jian Yang · Masashi Sugiyama
[ Paper ]
Spotlight
Tue Jul 20 05:40 AM -- 05:45 AM (PDT)
Imitation by Predicting Observations
In Reinforcement Learning (Multi-agent)
Andrew Jaegle · Yury Sulsky · Arun Ahuja · Jake Bruce · Rob Fergus · Greg Wayne
[ Paper ]
Spotlight
Tue Jul 20 05:40 AM -- 05:45 AM (PDT)
Sparsifying Networks via Subdifferential Inclusion
In Auto-ML and Optimization
Sagar Verma · Jean-Christophe Pesquet
[ Paper ]
Spotlight
Tue Jul 20 05:40 AM -- 05:45 AM (PDT)
Unbalanced minibatch Optimal Transport; applications to Domain Adaptation
In Optimal Transport
Kilian Fatras · Thibault Séjourné · Rémi Flamary · Nicolas Courty
[ Paper ]
Spotlight
Tue Jul 20 05:40 AM -- 05:45 AM (PDT)
On the Optimality of Batch Policy Optimization Algorithms
In Deep Reinforcement Learning 2
Chenjun Xiao · Yifan Wu · Jincheng Mei · Bo Dai · Tor Lattimore · Lihong Li · Csaba Szepesvari · Dale Schuurmans
[ Paper ]
Spotlight
Tue Jul 20 05:40 AM -- 05:45 AM (PDT)
Learning Task Informed Abstractions
In Deep Reinforcement Learning 1
Xiang Fu · Ge Yang · Pulkit Agrawal · Tommi Jaakkola
[ Paper ]
Spotlight
Tue Jul 20 05:40 AM -- 05:45 AM (PDT)
Interpretable Stability Bounds for Spectral Graph Filters
In Graph Learning
Henry Kenlay · Dorina Thanou · Xiaowen Dong
[ Paper ]
Spotlight
Tue Jul 20 05:40 AM -- 05:45 AM (PDT)
Newton Method over Networks is Fast up to the Statistical Precision
In Optimization (Distributed)
Amir Daneshmand · Gesualdo Scutari · Pavel Dvurechenskii · Alexander Gasnikov
[ Paper ]
Spotlight
Tue Jul 20 05:40 AM -- 05:45 AM (PDT)
Zoo-Tuning: Adaptive Transfer from A Zoo of Models
In Deep Learning Architectures
Yang Shu · Zhi Kou · Zhangjie Cao · Jianmin Wang · Mingsheng Long
[ Paper ]
Q&A
Tue Jul 20 05:45 AM -- 05:50 AM (PDT)
Q&A
In Deep Reinforcement Learning 2
Q&A
Tue Jul 20 05:45 AM -- 05:50 AM (PDT)
Q&A
In Auto-ML and Optimization
Q&A
Tue Jul 20 05:45 AM -- 05:50 AM (PDT)
Q&A
In Reinforcement Learning (Multi-agent)
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
In Graph Learning
Ciwan Ceylan · Salla Franzén · Florian T. Pokorny
[ Paper ]
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
In Optimal Transport
Chi-Heng Lin · Mehdi Azabou · Eva Dyer
[ Paper ]
Spotlight
Tue Jul 20 05:45 AM -- 05:50 AM (PDT)
Federated Learning under Arbitrary Communication Patterns
In Optimization (Distributed)
Dmitrii Avdiukhin · Shiva Kasiviswanathan
[ Paper ]
Spotlight
Tue Jul 20 05:45 AM -- 05:50 AM (PDT)
UnICORNN: A recurrent model for learning very long time dependencies
In Deep Learning Architectures
T. Konstantin Rusch · Siddhartha Mishra
[ Paper ]
Spotlight
Tue Jul 20 05:45 AM -- 05:50 AM (PDT)
State Entropy Maximization with Random Encoders for Efficient Exploration
In Deep Reinforcement Learning 1
Younggyo Seo · Lili Chen · Jinwoo Shin · Honglak Lee · Pieter Abbeel · Kimin Lee
[ Paper ]
Spotlight
Tue Jul 20 05:45 AM -- 05:50 AM (PDT)
SPADE: A Spectral Method for Black-Box Adversarial Robustness Evaluation
In Deep Learning Applications
Wuxinlin Cheng · Chenhui Deng · Zhiqiang Zhao · Yaohui Cai · Zhiru Zhang · Zhuo Feng
[ Paper ]
Q&A
Tue Jul 20 05:50 AM -- 05:55 AM (PDT)
Q&A
In Graph Learning
Q&A
Tue Jul 20 05:50 AM -- 05:55 AM (PDT)
Q&A
In Optimization (Distributed)
Q&A
Tue Jul 20 05:50 AM -- 05:55 AM (PDT)
Q&A
In Optimal Transport
Q&A
Tue Jul 20 05:50 AM -- 05:55 AM (PDT)
Q&A
In Deep Learning Applications
Q&A
Tue Jul 20 05:50 AM -- 05:55 AM (PDT)
Q&A
In Deep Learning Architectures
Q&A
Tue Jul 20 05:50 AM -- 05:55 AM (PDT)
Q&A
In Deep Reinforcement Learning 1
Oral
Tue Jul 20 06:00 AM -- 06:20 AM (PDT)
What Are Bayesian Neural Network Posteriors Really Like?
In Deep Learning (Bayesian)
Pavel Izmailov · Sharad Vikram · Matthew Hoffman · Andrew Wilson
[ Paper ]
Oral
Tue Jul 20 06:00 AM -- 06:20 AM (PDT)
Leveraging Sparse Linear Layers for Debuggable Deep Networks
In Deep Learning Algorithms 1
Eric Wong · Shibani Santurkar · Aleksander Madry
[ Paper ]
Oral
Tue Jul 20 06:00 AM -- 06:20 AM (PDT)
Variance Reduction via Primal-Dual Accelerated Dual Averaging for Nonsmooth Convex Finite-Sums
In Optimization (Convex) 1
Chaobing Song · Stephen Wright · Jelena Diakonikolas
[ Paper ]
Oral
Tue Jul 20 06:00 AM -- 06:20 AM (PDT)
Risk-Sensitive Reinforcement Learning with Function Approximation: A Debiasing Approach
In Reinforcement Learning 1
Yingjie Fei · Zhuoran Yang · Zhaoran Wang
[ Paper ]
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
In Deep Learning Theory 1
Floris Geerts · Filip Mazowiecki · Guillermo Perez
[ Paper ]
Oral
Tue Jul 20 06:00 AM -- 06:20 AM (PDT)
Neural Architecture Search without Training
In AutoML and Deep Architecture
Joe Mellor · Jack Turner · Amos Storkey · Elliot Crowley
[ Paper ]
Oral
Tue Jul 20 06:00 AM -- 06:20 AM (PDT)
Oops I Took A Gradient: Scalable Sampling for Discrete Distributions
In Deep Generative Model 1
Will Grathwohl · Kevin Swersky · Milad Hashemi · David Duvenaud · Chris Maddison
[ Paper ]
Oral
Tue Jul 20 06:00 AM -- 06:20 AM (PDT)
Principled Simplicial Neural Networks for Trajectory Prediction
In Deep Learning Algorithms 2
T. Mitchell Roddenberry · Nicholas Glaze · Santiago Segarra
[ Paper ]
Oral
Tue Jul 20 06:00 AM -- 06:20 AM (PDT)
PAGE: A Simple and Optimal Probabilistic Gradient Estimator for Nonconvex Optimization
In Optimization 1
Zhize Li · Hongyan Bao · Xiangliang Zhang · Peter Richtarik
[ Paper ]
Spotlight
Tue Jul 20 06:20 AM -- 06:25 AM (PDT)
Voice2Series: Reprogramming Acoustic Models for Time Series Classification
In Deep Learning Algorithms 1
Huck Yang · Yun-Yun Tsai · Pin-Yu Chen
[ Paper ]
Spotlight
Tue Jul 20 06:20 AM -- 06:25 AM (PDT)
Projection Robust Wasserstein Barycenters
In Optimization 1
Minhui Huang · Shiqian Ma · Lifeng Lai
[ Paper ]
Spotlight
Tue Jul 20 06:20 AM -- 06:25 AM (PDT)
Scalable Marginal Likelihood Estimation for Model Selection in Deep Learning
In Deep Learning (Bayesian)
Alexander Immer · Matthias Bauer · Vincent Fortuin · Gunnar Ratsch · Khan Emtiyaz
[ Paper ]
Spotlight
Tue Jul 20 06:20 AM -- 06:25 AM (PDT)
Efficient Differentiable Simulation of Articulated Bodies
In Deep Learning Algorithms 2
Yi-Ling Qiao · Junbang Liang · Vladlen Koltun · Ming Lin
[ Paper ]
Spotlight
Tue Jul 20 06:20 AM -- 06:25 AM (PDT)
Multiscale Invertible Generative Networks for High-Dimensional Bayesian Inference
In Deep Generative Model 1
Shumao Zhang · Pengchuan Zhang · Thomas Hou
[ Paper ]
Spotlight
Tue Jul 20 06:20 AM -- 06:25 AM (PDT)
Is Space-Time Attention All You Need for Video Understanding?
In AutoML and Deep Architecture
Gedas Bertasius · Heng Wang · Lorenzo Torresani
[ Paper ]
Spotlight
Tue Jul 20 06:20 AM -- 06:25 AM (PDT)
Model-Free Reinforcement Learning: from Clipped Pseudo-Regret to Sample Complexity
In Reinforcement Learning 1
Zhang Zihan · Yuan Zhou · Xiangyang Ji
[ Paper ]
Spotlight
Tue Jul 20 06:20 AM -- 06:25 AM (PDT)
Dueling Convex Optimization
In Optimization (Convex) 1
Aadirupa Saha · Tomer Koren · Yishay Mansour
[ Paper ]
Spotlight
Tue Jul 20 06:20 AM -- 06:25 AM (PDT)
Fundamental Tradeoffs in Distributionally Adversarial Training
In Deep Learning Theory 1
Mohammad Mehrabi · Adel Javanmard · Ryan A. Rossi · Anup Rao · Tung Mai
[ Paper ]
Spotlight
Tue Jul 20 06:25 AM -- 06:30 AM (PDT)
Neuro-algorithmic Policies Enable Fast Combinatorial Generalization
In Reinforcement Learning 1
Marin Vlastelica · Michal Rolinek · Georg Martius
[ Paper ]
Spotlight
Tue Jul 20 06:25 AM -- 06:30 AM (PDT)
Towards Understanding Learning in Neural Networks with Linear Teachers
In Deep Learning Theory 1
Roei Sarussi · Alon Brutzkus · Amir Globerson
[ Paper ]
Spotlight
Tue Jul 20 06:25 AM -- 06:30 AM (PDT)
GraphDF: A Discrete Flow Model for Molecular Graph Generation
In Deep Generative Model 1
Youzhi Luo · Keqiang Yan · Shuiwang Ji
[ Paper ]
Spotlight
Tue Jul 20 06:25 AM -- 06:30 AM (PDT)
A Probabilistic Approach to Neural Network Pruning
In AutoML and Deep Architecture
Xin Qian · Diego Klabjan
[ Paper ]
Spotlight
Tue Jul 20 06:25 AM -- 06:30 AM (PDT)
Efficient Message Passing for 0–1 ILPs with Binary Decision Diagrams
In Optimization 1
Jan-Hendrik Lange · Paul Swoboda
[ Paper ]
Spotlight
Tue Jul 20 06:25 AM -- 06:30 AM (PDT) @ Virtual
Amortized Conditional Normalized Maximum Likelihood: Reliable Out of Distribution Uncertainty Estimation
In Deep Learning (Bayesian)
Aurick Zhou · Sergey Levine
[ Slides] 
[ Paper ]
Spotlight
Tue Jul 20 06:25 AM -- 06:30 AM (PDT)
Global Optimality Beyond Two Layers: Training Deep ReLU Networks via Convex Programs
In Optimization (Convex) 1
Tolga Ergen · Mert Pilanci
[ Paper ]
Spotlight
Tue Jul 20 06:25 AM -- 06:30 AM (PDT)
On Monotonic Linear Interpolation of Neural Network Parameters
In Deep Learning Algorithms 2
James Lucas · Juhan Bae · Michael Zhang · Stanislav Fort · Richard Zemel · Roger Grosse
[ Paper ]
Spotlight
Tue Jul 20 06:25 AM -- 06:30 AM (PDT)
Self-Tuning for Data-Efficient Deep Learning
In Deep Learning Algorithms 1
Ximei Wang · Jinghan Gao · Mingsheng Long · Jianmin Wang
[ Paper ]
Spotlight
Tue Jul 20 06:30 AM -- 06:35 AM (PDT)
Continual Learning in the Teacher-Student Setup: Impact of Task Similarity
In Deep Learning Theory 1
Sebastian Lee · Sebastian Goldt · Andrew Saxe
[ Paper ]
Spotlight
Tue Jul 20 06:30 AM -- 06:35 AM (PDT)
Connecting Sphere Manifolds Hierarchically for Regularization
In Deep Learning Algorithms 2
Damien Scieur · Youngsung Kim
[ Paper ]
Spotlight
Tue Jul 20 06:30 AM -- 06:35 AM (PDT)
Parameter-free Locally Accelerated Conditional Gradients
In Optimization (Convex) 1
Alejandro Carderera · Jelena Diakonikolas · Cheuk Yin Lin · Sebastian Pokutta
[ Paper ]
Spotlight
Tue Jul 20 06:30 AM -- 06:35 AM (PDT)
Deep kernel processes
In Deep Learning (Bayesian)
Laurence Aitchison · Adam Yang · Sebastian Ober
[ Paper ]
Spotlight
Tue Jul 20 06:30 AM -- 06:35 AM (PDT)
How Framelets Enhance Graph Neural Networks
In Deep Learning Algorithms 1
Xuebin Zheng · Bingxin Zhou · Junbin Gao · Yuguang Wang · Pietro Lió · Ming Li · Guido Montufar
[ Paper ]
Spotlight
Tue Jul 20 06:30 AM -- 06:35 AM (PDT)
Hierarchical VAEs Know What They Don’t Know
In Deep Generative Model 1
Jakob D. Havtorn · Jes Frellsen · Søren Hauberg · Lars Maaløe
[ Paper ]
Spotlight
Tue Jul 20 06:30 AM -- 06:35 AM (PDT)
PID Accelerated Value Iteration Algorithm
In Reinforcement Learning 1
Amir-massoud Farahmand · Mohammad Ghavamzadeh
[ Paper ]
Spotlight
Tue Jul 20 06:30 AM -- 06:35 AM (PDT)
KNAS: Green Neural Architecture Search
In AutoML and Deep Architecture
Jingjing Xu · Liang Zhao · Junyang Lin · Rundong Gao · Xu SUN · Hongxia Yang
[ Paper ]
Spotlight
Tue Jul 20 06:30 AM -- 06:35 AM (PDT)
Distributionally Robust Optimization with Markovian Data
In Optimization 1
Mengmeng Li · Tobias Sutter · Daniel Kuhn
[ Paper ]
Spotlight
Tue Jul 20 06:35 AM -- 06:40 AM (PDT)
Global inducing point variational posteriors for Bayesian neural networks and deep Gaussian processes
In Deep Learning (Bayesian)
Sebastian Ober · Laurence Aitchison
[ Paper ]
Spotlight
Tue Jul 20 06:35 AM -- 06:40 AM (PDT)
A Functional Perspective on Learning Symmetric Functions with Neural Networks
In Deep Learning Theory 1
Aaron Zweig · Joan Bruna
[ Paper ]
Spotlight
Tue Jul 20 06:35 AM -- 06:40 AM (PDT)
Order Matters: Probabilistic Modeling of Node Sequence for Graph Generation
In Deep Generative Model 1
Xiaohui Chen · Xu Han · Jiajing Hu · Francisco Ruiz · Liping Liu
[ Paper ]
Spotlight
Tue Jul 20 06:35 AM -- 06:40 AM (PDT)
Acceleration via Fractal Learning Rate Schedules
In Optimization 1
Naman Agarwal · Surbhi Goel · Cyril Zhang
[ Paper ]
Spotlight
Tue Jul 20 06:35 AM -- 06:40 AM (PDT)
Principal Component Hierarchy for Sparse Quadratic Programs
In Optimization (Convex) 1
Robbie Vreugdenhil · Viet Anh Nguyen · Armin Eftekhari · Peyman Mohajerin Esfahani
[ Paper ]
Spotlight
Tue Jul 20 06:35 AM -- 06:40 AM (PDT)
Federated Continual Learning with Weighted Inter-client Transfer
In Deep Learning Algorithms 1
Jaehong Yoon · Wonyong Jeong · GiWoong Lee · Eunho Yang · Sung Ju Hwang
[ Paper ]
Spotlight
Tue Jul 20 06:35 AM -- 06:40 AM (PDT)
Provably Efficient Learning of Transferable Rewards
In Reinforcement Learning 1
Alberto Maria Metelli · Giorgia Ramponi · Alessandro Concetti · Marcello Restelli
[ Paper ]
Spotlight
Tue Jul 20 06:35 AM -- 06:40 AM (PDT)
Controlling Graph Dynamics with Reinforcement Learning and Graph Neural Networks
In Deep Learning Algorithms 2
Eli Meirom · Haggai Maron · Shie Mannor · Gal Chechik
[ Paper ]
Spotlight
Tue Jul 20 06:35 AM -- 06:40 AM (PDT)
Efficient Lottery Ticket Finding: Less Data is More
In AutoML and Deep Architecture
Zhenyu Zhang · Xuxi Chen · Tianlong Chen · Zhangyang “Atlas” Wang
[ Paper ]
Spotlight
Tue Jul 20 06:40 AM -- 06:45 AM (PDT)
Weisfeiler and Lehman Go Topological: Message Passing Simplicial Networks
In Deep Learning Theory 1
Cristian Bodnar · Fabrizio Frasca · Yuguang Wang · Nina Otter · Guido Montufar · Pietro Lió · Michael Bronstein
[ Paper ]
Spotlight
Tue Jul 20 06:40 AM -- 06:45 AM (PDT)
Bayesian Deep Learning via Subnetwork Inference
In Deep Learning (Bayesian)
Erik Daxberger · Eric Nalisnick · James Allingham · Javier Antorán · Jose Miguel Hernandez-Lobato
[ Paper ]
Spotlight
Tue Jul 20 06:40 AM -- 06:45 AM (PDT)
Thinking Like Transformers
In Deep Learning Algorithms 2
Gail Weiss · Yoav Goldberg · Eran Yahav
[ Paper ]
Spotlight
Tue Jul 20 06:40 AM -- 06:45 AM (PDT)
A Novel Sequential Coreset Method for Gradient Descent Algorithms
In Optimization 1
Jiawei Huang · Ruomin Huang · wenjie liu · Nikolaos Freris · Hu Ding
[ Paper ]
Spotlight
Tue Jul 20 06:40 AM -- 06:45 AM (PDT)
ConViT: Improving Vision Transformers with Soft Convolutional Inductive Biases
In AutoML and Deep Architecture
Stéphane d'Ascoli · Hugo Touvron · Matthew Leavitt · Ari Morcos · Giulio Biroli · Levent Sagun
[ Paper ]
Spotlight
Tue Jul 20 06:40 AM -- 06:45 AM (PDT)
One-sided Frank-Wolfe algorithms for saddle problems
In Optimization (Convex) 1
Vladimir Kolmogorov · Thomas Pock
[ Paper ]
Spotlight
Tue Jul 20 06:40 AM -- 06:45 AM (PDT)
Reinforcement Learning for Cost-Aware Markov Decision Processes
In Reinforcement Learning 1
Wesley A Suttle · Kaiqing Zhang · Zhuoran Yang · Ji Liu · David N Kraemer
[ Paper ]
Spotlight
Tue Jul 20 06:40 AM -- 06:45 AM (PDT)
Generative Video Transformer: Can Objects be the Words?
In Deep Generative Model 1
Yi-Fu Wu · Jaesik Yoon · Sungjin Ahn
[ Paper ]
Spotlight
Tue Jul 20 06:40 AM -- 06:45 AM (PDT)
Self Normalizing Flows
In Deep Learning Algorithms 1
T. Anderson Keller · Jorn Peters · Priyank Jaini · Emiel Hoogeboom · Patrick Forré · Max Welling
[ Paper ]
Spotlight
Tue Jul 20 06:45 AM -- 06:50 AM (PDT)
Generative Particle Variational Inference via Estimation of Functional Gradients
In Deep Learning (Bayesian)
Neale Ratzlaff · Jerry Bai · Fuxin Li · Wei Xu
[ Paper ]
Spotlight
Tue Jul 20 06:45 AM -- 06:50 AM (PDT)
On the Random Conjugate Kernel and Neural Tangent Kernel
In Deep Learning Theory 1
Zhengmian Hu · Heng Huang
[ Paper ]
Spotlight
Tue Jul 20 06:45 AM -- 06:50 AM (PDT)
Provably Strict Generalisation Benefit for Equivariant Models
In AutoML and Deep Architecture
Bryn Elesedy · Sheheryar Zaidi
[ Paper ]
Spotlight
Tue Jul 20 06:45 AM -- 06:50 AM (PDT)
Scalable Optimal Transport in High Dimensions for Graph Distances, Embedding Alignment, and More
In Optimization 1
Johannes Gasteiger · Marten Lienen · Stephan Günnemann
[ Paper ]
Spotlight
Tue Jul 20 06:45 AM -- 06:50 AM (PDT)
Federated Learning of User Verification Models Without Sharing Embeddings
In Deep Learning Algorithms 2
Hossein Hosseini · Hyunsin Park · Sungrack Yun · Christos Louizos · Joseph B Soriaga · Max Welling
[ Paper ]
Spotlight
Tue Jul 20 06:45 AM -- 06:50 AM (PDT)
Poisson-Randomised DirBN: Large Mutation is Needed in Dirichlet Belief Networks
In Deep Generative Model 1
Xuhui Fan · Bin Li · Yaqiong Li · Scott SIsson
[ Paper ]
Spotlight
Tue Jul 20 06:45 AM -- 06:50 AM (PDT)
Value Alignment Verification
In Reinforcement Learning 1
Daniel Brown · Jordan Schneider · Anca Dragan · Scott Niekum
[ Paper ]
Spotlight
Tue Jul 20 06:45 AM -- 06:50 AM (PDT)
ConvexVST: A Convex Optimization Approach to Variance-stabilizing Transformation
In Optimization (Convex) 1
Mengfan Wang · Boyu Lyu · Guoqiang Yu
[ Paper ]
Spotlight
Tue Jul 20 06:45 AM -- 06:50 AM (PDT)
Loss Surface Simplexes for Mode Connecting Volumes and Fast Ensembling
In Deep Learning Algorithms 1
Gregory Benton · Wesley Maddox · Sanae Lotfi · Andrew Wilson
[ Paper ]
Q&A
Tue Jul 20 06:50 AM -- 06:55 AM (PDT)
Q&A
In Deep Generative Model 1
Q&A
Tue Jul 20 06:50 AM -- 06:55 AM (PDT)
Q&A
In Optimization 1
Q&A
Tue Jul 20 06:50 AM -- 06:55 AM (PDT)
Q&A
In Deep Learning Algorithms 1
Q&A
Tue Jul 20 06:50 AM -- 06:55 AM (PDT)
Q&A
In Deep Learning (Bayesian)
Q&A
Tue Jul 20 06:50 AM -- 06:55 AM (PDT)
Q&A
In Deep Learning Algorithms 2
Q&A
Tue Jul 20 06:50 AM -- 06:55 AM (PDT)
Q&A
In AutoML and Deep Architecture
Q&A
Tue Jul 20 06:50 AM -- 06:55 AM (PDT)
Q&A
In Deep Learning Theory 1
Q&A
Tue Jul 20 06:50 AM -- 06:55 AM (PDT)
Q&A
In Reinforcement Learning 1
Q&A
Tue Jul 20 06:50 AM -- 06:55 AM (PDT)
Q&A
In Optimization (Convex) 1
Oral
Tue Jul 20 07:00 AM -- 07:20 AM (PDT)
Not All Memories are Created Equal: Learning to Forget by Expiring
In Deep Learning 1
Sainbayar Sukhbaatar · Da JU · Spencer Poff · Stephen Roller · Arthur Szlam · Jason Weston · Angela Fan
[ Paper ]
Oral
Tue Jul 20 07:00 AM -- 07:20 AM (PDT)
Directional Graph Networks
In Deep Learning Algorithms 4
Dominique Beaini · Saro Passaro · Vincent Létourneau · Will Hamilton · Gabriele Corso · Pietro Lió
[ Paper ]
Oral
Tue Jul 20 07:00 AM -- 07:20 AM (PDT)
Coach-Player Multi-agent Reinforcement Learning for Dynamic Team Composition
In Reinforcement Learning 2
Bo Liu · Qiang Liu · Peter Stone · Animesh Garg · Yuke Zhu · Anima Anandkumar
[ Paper ]
Oral
Tue Jul 20 07:00 AM -- 07:20 AM (PDT)
World Model as a Graph: Learning Latent Landmarks for Planning
In Reinforcement Learning and Planning 1
Lunjun Zhang · Ge Yang · Bradly Stadie
[ Paper ]
Oral
Tue Jul 20 07:00 AM -- 07:20 AM (PDT)
Stability and Convergence of Stochastic Gradient Clipping: Beyond Lipschitz Continuity and Smoothness
In Optimization 2
Vien Mai · Mikael Johansson
[ Paper ]
Oral
Tue Jul 20 07:00 AM -- 07:20 AM (PDT)
Spectral Smoothing Unveils Phase Transitions in Hierarchical Variational Autoencoders
In Deep Generative Model 2
Adeel Pervez · Efstratios Gavves
[ Paper ]
Oral
Tue Jul 20 07:00 AM -- 07:20 AM (PDT)
Skill Discovery for Exploration and Planning using Deep Skill Graphs
In Reinforcement Learning and Planning 2
Akhil Bagaria · Jason Senthil · George Konidaris
[ Paper ]
Oral
Tue Jul 20 07:00 AM -- 07:20 AM (PDT)
OmniNet: Omnidirectional Representations from Transformers
In AutoML and Neural Network Architectures 1
Yi Tay · Mostafa Dehghani · Vamsi Aribandi · Jai Gupta · Philip Pham · Zhen Qin · Dara Bahri · Da-Cheng Juan · Don Metzler
[ Paper ]
Oral
Tue Jul 20 07:00 AM -- 07:20 AM (PDT)
ViLT: Vision-and-Language Transformer Without Convolution or Region Supervision
In Deep Learning Algorithms 3
Wonjae Kim · Bokyung Son · Ildoo Kim
[ Paper ]
Spotlight
Tue Jul 20 07:20 AM -- 07:25 AM (PDT)
Tesseract: Tensorised Actors for Multi-Agent Reinforcement Learning
In Reinforcement Learning 2
Anuj Mahajan · Mikayel Samvelyan · Lei Mao · Viktor Makoviychuk · Animesh Garg · Jean Kossaifi · Shimon Whiteson · Yuke Zhu · Anima Anandkumar
[ Paper ]
Spotlight
Tue Jul 20 07:20 AM -- 07:25 AM (PDT)
Riemannian Convex Potential Maps
In Deep Generative Model 2
samuel cohen · Brandon Amos · Yaron Lipman
[ Paper ]
Spotlight
Tue Jul 20 07:20 AM -- 07:25 AM (PDT)
Revisiting Rainbow: Promoting more insightful and inclusive deep reinforcement learning research
In Reinforcement Learning and Planning 1
Johan Obando Ceron · Pablo Samuel Castro
[ Paper ]
Spotlight
Tue Jul 20 07:20 AM -- 07:25 AM (PDT)
Learning Bounds for Open-Set Learning
In Deep Learning 1
Zhen Fang · Jie Lu · Anjin Liu · Feng Liu · Guangquan Zhang
[ Paper ]
Spotlight
Tue Jul 20 07:20 AM -- 07:25 AM (PDT)
Learning Routines for Effective Off-Policy Reinforcement Learning
In Reinforcement Learning and Planning 2
Edoardo Cetin · Oya Celiktutan
[ Paper ]
Spotlight
Tue Jul 20 07:20 AM -- 07:25 AM (PDT)
Winograd Algorithm for AdderNet
In Deep Learning Algorithms 4
Wenshuo Li · Hanting Chen · Mingqiang Huang · Xinghao Chen · Chunjing Xu · Yunhe Wang
[ Paper ]
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
In AutoML and Neural Network Architectures 1
Jack Kosaian · Amar Phanishayee · Matthai Philipose · Debadeepta Dey · Rashmi Vinayak
[ Paper ]
Spotlight
Tue Jul 20 07:20 AM -- 07:25 AM (PDT)
Learning Curves for Analysis of Deep Networks
In Deep Learning Algorithms 3
Derek Hoiem · Tanmay Gupta · Zhizhong Li · Michal Shlapentokh-Rothman
[ Paper ]
Spotlight
Tue Jul 20 07:20 AM -- 07:25 AM (PDT)
Positive-Negative Momentum: Manipulating Stochastic Gradient Noise to Improve Generalization
In Optimization 2
Zeke Xie · Li Yuan · Zhanxing Zhu · Masashi Sugiyama
[ Paper ]
Spotlight
Tue Jul 20 07:25 AM -- 07:30 AM (PDT)
Deep Reinforcement Learning amidst Continual Structured Non-Stationarity
In Reinforcement Learning and Planning 1
Annie Xie · James Harrison · Chelsea Finn
[ Paper ]
Spotlight
Tue Jul 20 07:25 AM -- 07:30 AM (PDT)
E(n) Equivariant Graph Neural Networks
In AutoML and Neural Network Architectures 1
Victor Garcia Satorras · Emiel Hoogeboom · Max Welling
[ Paper ]
Spotlight
Tue Jul 20 07:25 AM -- 07:30 AM (PDT)
Variational Data Assimilation with a Learned Inverse Observation Operator
In Optimization 2
Thomas Frerix · Dmitrii Kochkov · Jamie Smith · Daniel Cremers · Michael Brenner · Stephan Hoyer
[ Paper ]
Spotlight
Tue Jul 20 07:25 AM -- 07:30 AM (PDT)
PODS: Policy Optimization via Differentiable Simulation
In Reinforcement Learning and Planning 2
Miguel Angel Zamora Mora · Momchil Peychev · Sehoon Ha · Martin Vechev · Stelian Coros
[ Paper ]
Spotlight
Tue Jul 20 07:25 AM -- 07:30 AM (PDT)
A New Formalism, Method and Open Issues for Zero-Shot Coordination
In Reinforcement Learning 2
Johannes Treutlein · Michael Dennis · Caspar Oesterheld · Jakob Foerster
[ Paper ]
Spotlight
Tue Jul 20 07:25 AM -- 07:30 AM (PDT)
Perceiver: General Perception with Iterative Attention
In Deep Learning 1
Andrew Jaegle · Felix Axel Gimeno Gil · Andy Brock · Oriol Vinyals · Andrew Zisserman · Joao Carreira
[ Paper ]
Spotlight
Tue Jul 20 07:25 AM -- 07:30 AM (PDT)
GLSearch: Maximum Common Subgraph Detection via Learning to Search
In Deep Learning Algorithms 3
Yunsheng Bai · Derek Xu · Yizhou Sun · Wei Wang
[ Paper ]
Spotlight
Tue Jul 20 07:25 AM -- 07:30 AM (PDT)
Autoencoding Under Normalization Constraints
In Deep Generative Model 2
Sangwoong Yoon · Yung-Kyun Noh · Frank Chongwoo Park
[ Paper ]
Spotlight
Tue Jul 20 07:25 AM -- 07:30 AM (PDT)
LieTransformer: Equivariant Self-Attention for Lie Groups
In Deep Learning Algorithms 4
Michael Hutchinson · Charline Le Lan · Sheheryar Zaidi · Emilien Dupont · Yee-Whye Teh · Hyunjik Kim
[ Paper ]
Spotlight
Tue Jul 20 07:30 AM -- 07:35 AM (PDT)
Learning and Planning in Complex Action Spaces
In Reinforcement Learning and Planning 2
Thomas Hubert · Julian Schrittwieser · Ioannis Antonoglou · Mohammadamin Barekatain · Simon Schmitt · David Silver
[ Paper ]
Spotlight
Tue Jul 20 07:30 AM -- 07:35 AM (PDT)
Learning Intra-Batch Connections for Deep Metric Learning
In Deep Learning Algorithms 3
Jenny Seidenschwarz · Ismail Elezi · Laura Leal-Taixé
[ Paper ]
Spotlight
Tue Jul 20 07:30 AM -- 07:35 AM (PDT)
Targeted Data Acquisition for Evolving Negotiation Agents
In Reinforcement Learning 2
Minae Kwon · Siddharth Karamcheti · Mariano-Florentino Cuellar · Dorsa Sadigh
[ Paper ]
Spotlight
Tue Jul 20 07:30 AM -- 07:35 AM (PDT)
Synthesizer: Rethinking Self-Attention for Transformer Models
In Deep Learning 1
Yi Tay · Dara Bahri · Don Metzler · Da-Cheng Juan · Zhe Zhao · Che Zheng
[ Paper ]
Spotlight
Tue Jul 20 07:30 AM -- 07:35 AM (PDT)
"Hey, that's not an ODE": Faster ODE Adjoints via Seminorms
In Deep Learning Algorithms 4
Patrick Kidger · Ricky T. Q. Chen · Terry Lyons
[ Paper ]
Spotlight
Tue Jul 20 07:30 AM -- 07:35 AM (PDT)
Offline Reinforcement Learning with Pseudometric Learning
In Reinforcement Learning and Planning 1
Robert Dadashi · Shideh Rezaeifar · Nino Vieillard · Léonard Hussenot · Olivier Pietquin · Matthieu Geist
[ Paper ]
Spotlight
Tue Jul 20 07:30 AM -- 07:35 AM (PDT)
PixelTransformer: Sample Conditioned Signal Generation
In Deep Generative Model 2
Shubham Tulsiani · Abhinav Gupta
[ Paper ]
Spotlight
Tue Jul 20 07:30 AM -- 07:35 AM (PDT)
Grid-Functioned Neural Networks
In AutoML and Neural Network Architectures 1
Javier Dehesa · Andrew Vidler · Julian Padget · Christof Lutteroth
[ Paper ]
Spotlight
Tue Jul 20 07:30 AM -- 07:35 AM (PDT)
Fast Projection Onto Convex Smooth Constraints
In Optimization 2
Ilnura Usmanova · Maryam Kamgarpour · Andreas Krause · Kfir Levy
[ Paper ]
Spotlight
Tue Jul 20 07:35 AM -- 07:40 AM (PDT)
Graph Mixture Density Networks
In Deep Learning Algorithms 4
Federico Errica · Davide Bacciu · Alessio Micheli
[ Paper ]
Spotlight
Tue Jul 20 07:35 AM -- 07:40 AM (PDT)
Simultaneous Similarity-based Self-Distillation for Deep Metric Learning
In Deep Learning Algorithms 3
Karsten Roth · Timo Milbich · Bjorn Ommer · Joseph Paul Cohen · Marzyeh Ghassemi
[ Paper ]
Spotlight
Tue Jul 20 07:35 AM -- 07:40 AM (PDT)
Slot Machines: Discovering Winning Combinations of Random Weights in Neural Networks
In Deep Learning 1
Maxwell M Aladago · Lorenzo Torresani
[ Paper ]
Spotlight
Tue Jul 20 07:35 AM -- 07:40 AM (PDT)
Model-Based Reinforcement Learning via Latent-Space Collocation
In Reinforcement Learning and Planning 2
Oleh Rybkin · Chuning Zhu · Anusha Nagabandi · Kostas Daniilidis · Igor Mordatch · Sergey Levine
[ Paper ]
Spotlight
Tue Jul 20 07:35 AM -- 07:40 AM (PDT)
Decomposable Submodular Function Minimization via Maximum Flow
In Optimization 2
Kyriakos Axiotis · Adam Karczmarz · Anish Mukherjee · Piotr Sankowski · Adrian Vladu
[ Paper ]
Spotlight
Tue Jul 20 07:35 AM -- 07:40 AM (PDT)
MSA Transformer
In AutoML and Neural Network Architectures 1
Roshan Rao · Jason Liu · Robert Verkuil · Joshua Meier · John Canny · Pieter Abbeel · Tom Sercu · Alexander Rives
[ Paper ]
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
In Reinforcement Learning and Planning 1
Seyed Kamyar Seyed Ghasemipour · Dale Schuurmans · Shixiang Gu
[ Paper ]
Spotlight
Tue Jul 20 07:35 AM -- 07:40 AM (PDT)
Inverse Constrained Reinforcement Learning
In Reinforcement Learning 2
Shehryar Malik · Usman Anwar · Alireza Aghasi · Ali Ahmed
[ Paper ]
Spotlight
Tue Jul 20 07:35 AM -- 07:40 AM (PDT)
Generative Adversarial Networks for Markovian Temporal Dynamics: Stochastic Continuous Data Generation
In Deep Generative Model 2
Sung Woo Park · Dong Wook Shu · Junseok Kwon
[ Paper ]
Spotlight
Tue Jul 20 07:40 AM -- 07:45 AM (PDT)
Multiplicative Noise and Heavy Tails in Stochastic Optimization
In Optimization 2
Liam Hodgkinson · Michael Mahoney
[ Paper ]
Spotlight
Tue Jul 20 07:40 AM -- 07:45 AM (PDT)
Autoencoder Image Interpolation by Shaping the Latent Space
In Deep Generative Model 2
Alon Oring · Zohar Yakhini · Yacov Hel-Or
[ Paper ]
Spotlight
Tue Jul 20 07:40 AM -- 07:45 AM (PDT)
Vector Quantized Models for Planning
In Reinforcement Learning and Planning 2
Sherjil Ozair · Yazhe Li · Ali Razavi · Ioannis Antonoglou · Aäron van den Oord · Oriol Vinyals
[ Paper ]
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
In Deep Learning 1
Jonas Fischer · Anna Olah · Jilles Vreeken
[ Paper ]
Spotlight
Tue Jul 20 07:40 AM -- 07:45 AM (PDT)
Counterfactual Credit Assignment in Model-Free Reinforcement Learning
In Reinforcement Learning 2
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
[ Paper ]
Spotlight
Tue Jul 20 07:40 AM -- 07:45 AM (PDT)
Decision-Making Under Selective Labels: Optimal Finite-Domain Policies and Beyond
In Reinforcement Learning and Planning 1
Dennis Wei
[ Paper ]
Spotlight
Tue Jul 20 07:40 AM -- 07:45 AM (PDT)
Parallelizing Legendre Memory Unit Training
In AutoML and Neural Network Architectures 1
Narsimha Reddy Chilkuri · Chris Eliasmith
[ Paper ]
Spotlight
Tue Jul 20 07:40 AM -- 07:45 AM (PDT)
Unifying Vision-and-Language Tasks via Text Generation
In Deep Learning Algorithms 3
Jaemin Cho · Jie Lei · Hao Tan · Mohit Bansal
[ Paper ]
Spotlight
Tue Jul 20 07:40 AM -- 07:45 AM (PDT)
Momentum Residual Neural Networks
In Deep Learning Algorithms 4
Michael Sander · Pierre Ablin · Mathieu Blondel · Gabriel Peyré
[ Paper ]
Q&A
Tue Jul 20 07:45 AM -- 07:50 AM (PDT)
Q&A
In AutoML and Neural Network Architectures 1
Q&A
Tue Jul 20 07:45 AM -- 07:50 AM (PDT)
Q&A
In Reinforcement Learning and Planning 1
Spotlight
Tue Jul 20 07:45 AM -- 07:50 AM (PDT)
DeepWalking Backwards: From Embeddings Back to Graphs
In Deep Learning Algorithms 3
Sudhanshu Chanpuriya · Cameron Musco · Konstantinos Sotiropoulos · Charalampos Tsourakakis
[ Paper ]
Spotlight
Tue Jul 20 07:45 AM -- 07:50 AM (PDT)
Improved Denoising Diffusion Probabilistic Models
In Deep Generative Model 2
Alexander Nichol · Prafulla Dhariwal
[ Paper ]
Spotlight
Tue Jul 20 07:45 AM -- 07:50 AM (PDT)
Better Training using Weight-Constrained Stochastic Dynamics
In Deep Learning Algorithms 4
Benedict Leimkuhler · Tiffany Vlaar · Timothée Pouchon · Amos Storkey
[ Paper ]
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
In Deep Learning 1
Baorui Ma · Zhizhong Han · Yushen Liu · Matthias Zwicker
[ Paper ]
Spotlight
Tue Jul 20 07:45 AM -- 07:50 AM (PDT)
LTL2Action: Generalizing LTL Instructions for Multi-Task RL
In Reinforcement Learning and Planning 2
Pashootan Vaezipoor · Andrew C Li · Rodrigo A Toro Icarte · Sheila McIlraith
[ Paper ]
Spotlight
Tue Jul 20 07:45 AM -- 07:50 AM (PDT)
Distributed Second Order Methods with Fast Rates and Compressed Communication
In Optimization 2
Rustem Islamov · Xun Qian · Peter Richtarik
[ Paper ]
Spotlight
Tue Jul 20 07:45 AM -- 07:50 AM (PDT)
Interactive Learning from Activity Description
In Reinforcement Learning 2
Khanh Nguyen · Dipendra Misra · Robert Schapire · Miroslav Dudik · Patrick Shafto
[ Paper ]
Q&A
Tue Jul 20 07:50 AM -- 07:55 AM (PDT)
Q&A
In Deep Learning Algorithms 4
Q&A
Tue Jul 20 07:50 AM -- 07:55 AM (PDT)
Q&A
In Deep Generative Model 2
Q&A
Tue Jul 20 07:50 AM -- 07:55 AM (PDT)
Q&A
In Deep Learning Algorithms 3
Q&A
Tue Jul 20 07:50 AM -- 07:55 AM (PDT)
Q&A
In Optimization 2
Q&A
Tue Jul 20 07:50 AM -- 07:55 AM (PDT)
Q&A
In Reinforcement Learning and Planning 2
Q&A
Tue Jul 20 07:50 AM -- 07:55 AM (PDT)
Q&A
In Deep Learning 1
Q&A
Tue Jul 20 07:50 AM -- 07:55 AM (PDT)
Q&A
In Reinforcement Learning 2
Affinity Workshop
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
Scalable Marginal Likelihood Estimation for Model Selection in Deep Learning
In Poster Session 1
Alexander Immer · Matthias Bauer · Vincent Fortuin · Gunnar Ratsch · Khan Emtiyaz
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Acceleration via Fractal Learning Rate Schedules
In Poster Session 1
Naman Agarwal · Surbhi Goel · Cyril Zhang
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Targeted Data Acquisition for Evolving Negotiation Agents
In Poster Session 1
Minae Kwon · Siddharth Karamcheti · Mariano-Florentino Cuellar · Dorsa Sadigh
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Perceiver: General Perception with Iterative Attention
In Poster Session 1
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)
MC-LSTM: Mass-Conserving LSTM
In Poster Session 1
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) @ Virtual
Dueling Convex Optimization
In Poster Session 1
Aadirupa Saha · Tomer Koren · Yishay Mansour
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
DeepWalking Backwards: From Embeddings Back to Graphs
In Poster Session 1
Sudhanshu Chanpuriya · Cameron Musco · Konstantinos Sotiropoulos · Charalampos Tsourakakis
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Learning and Planning in Complex Action Spaces
In Poster Session 1
Thomas Hubert · Julian Schrittwieser · Ioannis Antonoglou · Mohammadamin Barekatain · Simon Schmitt · David Silver
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Efficient Lottery Ticket Finding: Less Data is More
In Poster Session 1
Zhenyu Zhang · Xuxi Chen · Tianlong Chen · Zhangyang “Atlas” Wang
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Reinforcement Learning with Prototypical Representations
In Poster Session 1
Denis Yarats · Rob Fergus · Alessandro Lazaric · Lerrel Pinto
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
On Monotonic Linear Interpolation of Neural Network Parameters
In Poster Session 1
James Lucas · Juhan Bae · Michael Zhang · Stanislav Fort · Richard Zemel · Roger Grosse
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Deeply-Debiased Off-Policy Interval Estimation
In Poster Session 1
Chengchun Shi · Runzhe Wan · Victor Chernozhukov · Rui Song
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
ConvexVST: A Convex Optimization Approach to Variance-stabilizing Transformation
In Poster Session 1
Mengfan Wang · Boyu Lyu · Guoqiang Yu
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Spectral Smoothing Unveils Phase Transitions in Hierarchical Variational Autoencoders
In Poster Session 1
Adeel Pervez · Efstratios Gavves
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Parallelizing Legendre Memory Unit Training
In Poster Session 1
Narsimha Reddy Chilkuri · Chris Eliasmith
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Provably Efficient Learning of Transferable Rewards
In Poster Session 1
Alberto Maria Metelli · Giorgia Ramponi · Alessandro Concetti · Marcello Restelli
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Slot Machines: Discovering Winning Combinations of Random Weights in Neural Networks
In Poster Session 1
Maxwell M Aladago · Lorenzo Torresani
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
A Unified Lottery Ticket Hypothesis for Graph Neural Networks
In Poster Session 1
Tianlong Chen · Yongduo Sui · Xuxi Chen · Aston Zhang · Zhangyang “Atlas” Wang
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Leveraging Sparse Linear Layers for Debuggable Deep Networks
In Poster Session 1
Eric Wong · Shibani Santurkar · Aleksander Madry
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Generative Adversarial Networks for Markovian Temporal Dynamics: Stochastic Continuous Data Generation
In Poster Session 1
Sung Woo Park · Dong Wook Shu · Junseok Kwon
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Phasic Policy Gradient
In Poster Session 1
Karl Cobbe · Jacob Hilton · Oleg Klimov · John Schulman
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Sparsifying Networks via Subdifferential Inclusion
In Poster Session 1
Sagar Verma · Jean-Christophe Pesquet
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
ViLT: Vision-and-Language Transformer Without Convolution or Region Supervision
In Poster Session 1
Wonjae Kim · Bokyung Son · Ildoo Kim
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Interactive Learning from Activity Description
In Poster Session 1
Khanh Nguyen · Dipendra Misra · Robert Schapire · Miroslav Dudik · Patrick Shafto
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
A Probabilistic Approach to Neural Network Pruning
In Poster Session 1
Xin Qian · Diego Klabjan
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Self Normalizing Flows
In Poster Session 1
T. Anderson Keller · Jorn Peters · Priyank Jaini · Emiel Hoogeboom · Patrick Forré · Max Welling
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Decoupling Value and Policy for Generalization in Reinforcement Learning
In Poster Session 1
Roberta Raileanu · Rob Fergus
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Diversity Actor-Critic: Sample-Aware Entropy Regularization for Sample-Efficient Exploration
In Poster Session 1
Seungyul Han · Youngchul Sung
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
From Local Structures to Size Generalization in Graph Neural Networks
In Poster Session 1
Gilad Yehudai · Ethan Fetaya · Eli Meirom · Gal Chechik · Haggai Maron
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
GLSearch: Maximum Common Subgraph Detection via Learning to Search
In Poster Session 1
Yunsheng Bai · Derek Xu · Yizhou Sun · Wei Wang
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Skill Discovery for Exploration and Planning using Deep Skill Graphs
In Poster Session 1
Akhil Bagaria · Jason Senthil · George Konidaris
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Better Training using Weight-Constrained Stochastic Dynamics
In Poster Session 1
Benedict Leimkuhler · Tiffany Vlaar · Timothée Pouchon · Amos Storkey
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Reinforcement Learning for Cost-Aware Markov Decision Processes
In Poster Session 1
Wesley A Suttle · Kaiqing Zhang · Zhuoran Yang · Ji Liu · David N Kraemer
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Newton Method over Networks is Fast up to the Statistical Precision
In Poster Session 1
Amir Daneshmand · Gesualdo Scutari · Pavel Dvurechenskii · Alexander Gasnikov
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Muesli: Combining Improvements in Policy Optimization
In Poster Session 1
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
Projection Robust Wasserstein Barycenters
In Poster Session 1
Minhui Huang · Shiqian Ma · Lifeng Lai
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Model-Based Reinforcement Learning via Latent-Space Collocation
In Poster Session 1
Oleh Rybkin · Chuning Zhu · Anusha Nagabandi · Kostas Daniilidis · Igor Mordatch · Sergey Levine
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Inverse Constrained Reinforcement Learning
In Poster Session 1
Shehryar Malik · Usman Anwar · Alireza Aghasi · Ali Ahmed
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
In Poster Session 1
Ciwan Ceylan · Salla Franzén · Florian T. Pokorny
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
A New Representation of Successor Features for Transfer across Dissimilar Environments
In Poster Session 1
Majid Abdolshah · Hung Le · Thommen Karimpanal George · Sunil Gupta · Santu Rana · Svetha Venkatesh
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Simultaneous Similarity-based Self-Distillation for Deep Metric Learning
In Poster Session 1
Karsten Roth · Timo Milbich · Bjorn Ommer · Joseph Paul Cohen · Marzyeh Ghassemi
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Counterfactual Credit Assignment in Model-Free Reinforcement Learning
In Poster Session 1
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)
Principled Simplicial Neural Networks for Trajectory Prediction
In Poster Session 1
T. Mitchell Roddenberry · Nicholas Glaze · Santiago Segarra
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
In Poster Session 1
Floris Geerts · Filip Mazowiecki · Guillermo Perez
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Zeroth-Order Non-Convex Learning via Hierarchical Dual Averaging
In Poster Session 1
Amélie Héliou · Matthieu Martin · Panayotis Mertikopoulos · Thibaud J Rahier
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
UneVEn: Universal Value Exploration for Multi-Agent Reinforcement Learning
In Poster Session 1
Tarun Gupta · Anuj Mahajan · Bei Peng · Wendelin Boehmer · Shimon Whiteson
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Efficient Message Passing for 0–1 ILPs with Binary Decision Diagrams
In Poster Session 1
Jan-Hendrik Lange · Paul Swoboda
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Efficient Differentiable Simulation of Articulated Bodies
In Poster Session 1
Yi-Ling Qiao · Junbang Liang · Vladlen Koltun · Ming Lin
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
BORE: Bayesian Optimization by Density-Ratio Estimation
In Poster Session 1
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)
Variational Data Assimilation with a Learned Inverse Observation Operator
In Poster Session 1
Thomas Frerix · Dmitrii Kochkov · Jamie Smith · Daniel Cremers · Michael Brenner · Stephan Hoyer
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
How Framelets Enhance Graph Neural Networks
In Poster Session 1
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)
Continual Learning in the Teacher-Student Setup: Impact of Task Similarity
In Poster Session 1
Sebastian Lee · Sebastian Goldt · Andrew Saxe
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
KNAS: Green Neural Architecture Search
In Poster Session 1
Jingjing Xu · Liang Zhao · Junyang Lin · Rundong Gao · Xu SUN · Hongxia Yang
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Poisson-Randomised DirBN: Large Mutation is Needed in Dirichlet Belief Networks
In Poster Session 1
Xuhui Fan · Bin Li · Yaqiong Li · Scott SIsson
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Weisfeiler and Lehman Go Topological: Message Passing Simplicial Networks
In Poster Session 1
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)
GraphDF: A Discrete Flow Model for Molecular Graph Generation
In Poster Session 1
Youzhi Luo · Keqiang Yan · Shuiwang Ji
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Multiscale Invertible Generative Networks for High-Dimensional Bayesian Inference
In Poster Session 1
Shumao Zhang · Pengchuan Zhang · Thomas Hou
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
In Poster Session 1
Seyed Kamyar Seyed Ghasemipour · Dale Schuurmans · Shixiang Gu
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Global Optimality Beyond Two Layers: Training Deep ReLU Networks via Convex Programs
In Poster Session 1
Tolga Ergen · Mert Pilanci
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Provably Strict Generalisation Benefit for Equivariant Models
In Poster Session 1
Bryn Elesedy · Sheheryar Zaidi
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Decomposable Submodular Function Minimization via Maximum Flow
In Poster Session 1
Kyriakos Axiotis · Adam Karczmarz · Anish Mukherjee · Piotr Sankowski · Adrian Vladu
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
ConViT: Improving Vision Transformers with Soft Convolutional Inductive Biases
In Poster Session 1
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
Winograd Algorithm for AdderNet
In Poster Session 1
Wenshuo Li · Hanting Chen · Mingqiang Huang · Xinghao Chen · Chunjing Xu · Yunhe Wang
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Sliced Iterative Normalizing Flows
In Poster Session 1
Biwei Dai · Uros Seljak
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Neural Architecture Search without Training
In Poster Session 1
Joe Mellor · Jack Turner · Amos Storkey · Elliot Crowley
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Neuro-algorithmic Policies Enable Fast Combinatorial Generalization
In Poster Session 1
Marin Vlastelica · Michal Rolinek · Georg Martius
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Principal Component Hierarchy for Sparse Quadratic Programs
In Poster Session 1
Robbie Vreugdenhil · Viet Anh Nguyen · Armin Eftekhari · Peyman Mohajerin Esfahani
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
PixelTransformer: Sample Conditioned Signal Generation
In Poster Session 1
Shubham Tulsiani · Abhinav Gupta
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
A Functional Perspective on Learning Symmetric Functions with Neural Networks
In Poster Session 1
Aaron Zweig · Joan Bruna
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Global inducing point variational posteriors for Bayesian neural networks and deep Gaussian processes
In Poster Session 1
Sebastian Ober · Laurence Aitchison
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Value Alignment Verification
In Poster Session 1
Daniel Brown · Jordan Schneider · Anca Dragan · Scott Niekum
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Federated Learning under Arbitrary Communication Patterns
In Poster Session 1
Dmitrii Avdiukhin · Shiva Kasiviswanathan
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Large-Margin Contrastive Learning with Distance Polarization Regularizer
In Poster Session 1
Shuo Chen · Gang Niu · Chen Gong · Jun Li · Jian Yang · Masashi Sugiyama
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Not All Memories are Created Equal: Learning to Forget by Expiring
In Poster Session 1
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
Multiplicative Noise and Heavy Tails in Stochastic Optimization
In Poster Session 1
Liam Hodgkinson · Michael Mahoney
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
In Poster Session 1
Jonas Fischer · Anna Olah · Jilles Vreeken
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Multi-Agent Training beyond Zero-Sum with Correlated Equilibrium Meta-Solvers
In Poster Session 1
Luke Marris · Paul Muller · Marc Lanctot · Karl Tuyls · Thore Graepel
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Connecting Sphere Manifolds Hierarchically for Regularization
In Poster Session 1
Damien Scieur · Youngsung Kim
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Strategic Classification Made Practical
In Poster Session 1
Sagi Levanon · Nir Rosenfeld
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Unbalanced minibatch Optimal Transport; applications to Domain Adaptation
In Poster Session 1
Kilian Fatras · Thibault Séjourné · Rémi Flamary · Nicolas Courty
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
In Poster Session 1
Chi-Heng Lin · Mehdi Azabou · Eva Dyer
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Deep Reinforcement Learning amidst Continual Structured Non-Stationarity
In Poster Session 1
Annie Xie · James Harrison · Chelsea Finn
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Positive-Negative Momentum: Manipulating Stochastic Gradient Noise to Improve Generalization
In Poster Session 1
Zeke Xie · Li Yuan · Zhanxing Zhu · Masashi Sugiyama
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
UnICORNN: A recurrent model for learning very long time dependencies
In Poster Session 1
T. Konstantin Rusch · Siddhartha Mishra
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
A New Formalism, Method and Open Issues for Zero-Shot Coordination
In Poster Session 1
Johannes Treutlein · Michael Dennis · Caspar Oesterheld · Jakob Foerster
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
A Free Lunch From ANN: Towards Efficient, Accurate Spiking Neural Networks Calibration
In Poster Session 1
Yuhang Li · Shikuang Deng · Xin Dong · Ruihao Gong · Shi Gu
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Self-Tuning for Data-Efficient Deep Learning
In Poster Session 1
Ximei Wang · Jinghan Gao · Mingsheng Long · Jianmin Wang
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Navigation Turing Test (NTT): Learning to Evaluate Human-Like Navigation
In Poster Session 1
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) @ Virtual
What Are Bayesian Neural Network Posteriors Really Like?
In Poster Session 1
Pavel Izmailov · Sharad Vikram · Matthew Hoffman · Andrew Wilson
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Preferential Temporal Difference Learning
In Poster Session 1
Nishanth Anand · Doina Precup
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Unsupervised Learning of Visual 3D Keypoints for Control
In Poster Session 1
Boyuan Chen · Pieter Abbeel · Deepak Pathak
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Graph Mixture Density Networks
In Poster Session 1
Federico Errica · Davide Bacciu · Alessio Micheli
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Synthesizer: Rethinking Self-Attention for Transformer Models
In Poster Session 1
Yi Tay · Dara Bahri · Don Metzler · Da-Cheng Juan · Zhe Zhao · Che Zheng
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Learning Intra-Batch Connections for Deep Metric Learning
In Poster Session 1
Jenny Seidenschwarz · Ismail Elezi · Laura Leal-Taixé
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Parameter-free Locally Accelerated Conditional Gradients
In Poster Session 1
Alejandro Carderera · Jelena Diakonikolas · Cheuk Yin Lin · Sebastian Pokutta
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Learning Bounds for Open-Set Learning
In Poster Session 1
Zhen Fang · Jie Lu · Anjin Liu · Feng Liu · Guangquan Zhang
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Federated Continual Learning with Weighted Inter-client Transfer
In Poster Session 1
Jaehong Yoon · Wonyong Jeong · GiWoong Lee · Eunho Yang · Sung Ju Hwang
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
"Hey, that's not an ODE": Faster ODE Adjoints via Seminorms
In Poster Session 1
Patrick Kidger · Ricky T. Q. Chen · Terry Lyons
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Variance Reduction via Primal-Dual Accelerated Dual Averaging for Nonsmooth Convex Finite-Sums
In Poster Session 1
Chaobing Song · Stephen Wright · Jelena Diakonikolas
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Distributed Second Order Methods with Fast Rates and Compressed Communication
In Poster Session 1
Rustem Islamov · Xun Qian · Peter Richtarik
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Stability and Convergence of Stochastic Gradient Clipping: Beyond Lipschitz Continuity and Smoothness
In Poster Session 1
Vien Mai · Mikael Johansson
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Autoencoding Under Normalization Constraints
In Poster Session 1
Sangwoong Yoon · Yung-Kyun Noh · Frank Chongwoo Park
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Stochastic Sign Descent Methods: New Algorithms and Better Theory
In Poster Session 1
Mher Safaryan · Peter Richtarik
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Federated Learning of User Verification Models Without Sharing Embeddings
In Poster Session 1
Hossein Hosseini · Hyunsin Park · Sungrack Yun · Christos Louizos · Joseph B Soriaga · Max Welling
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Offline Contextual Bandits with Overparameterized Models
In Poster Session 1
David Brandfonbrener · William Whitney · Rajesh Ranganath · Joan Bruna
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
In Poster Session 1
Johannes Gasteiger · Marten Lienen · Stephan Günnemann
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Decision-Making Under Selective Labels: Optimal Finite-Domain Policies and Beyond
In Poster Session 1
Dennis Wei
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Generative Video Transformer: Can Objects be the Words?
In Poster Session 1
Yi-Fu Wu · Jaesik Yoon · Sungjin Ahn
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
A Novel Sequential Coreset Method for Gradient Descent Algorithms
In Poster Session 1
Jiawei Huang · Ruomin Huang · wenjie liu · Nikolaos Freris · Hu Ding
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Decentralized Riemannian Gradient Descent on the Stiefel Manifold
In Poster Session 1
Shixiang Chen · Alfredo Garcia · Mingyi Hong · Shahin Shahrampour
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
LieTransformer: Equivariant Self-Attention for Lie Groups
In Poster Session 1
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) @ Virtual
Directional Graph Networks
In Poster Session 1
Dominique Beaini · Saro Passaro · Vincent Létourneau · Will Hamilton · Gabriele Corso · Pietro Lió
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Scalable Evaluation of Multi-Agent Reinforcement Learning with Melting Pot
In Poster Session 1
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)
Boosting the Throughput and Accelerator Utilization of Specialized CNN Inference Beyond Increasing Batch Size
In Poster Session 1
Jack Kosaian · Amar Phanishayee · Matthai Philipose · Debadeepta Dey · Rashmi Vinayak
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Dataset Dynamics via Gradient Flows in Probability Space
In Poster Session 1
David Alvarez-Melis · Nicolo Fusi
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
E(n) Equivariant Graph Neural Networks
In Poster Session 1
Victor Garcia Satorras · Emiel Hoogeboom · Max Welling
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Learning Curves for Analysis of Deep Networks
In Poster Session 1
Derek Hoiem · Tanmay Gupta · Zhizhong Li · Michal Shlapentokh-Rothman
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
MSA Transformer
In Poster Session 1
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) @ Virtual
Grid-Functioned Neural Networks
In Poster Session 1
Javier Dehesa · Andrew Vidler · Julian Padget · Christof Lutteroth
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Outlier-Robust Optimal Transport
In Poster Session 1
Debarghya Mukherjee · Aritra Guha · Justin Solomon · Yuekai Sun · Mikhail Yurochkin
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
PAGE: A Simple and Optimal Probabilistic Gradient Estimator for Nonconvex Optimization
In Poster Session 1
Zhize Li · Hongyan Bao · Xiangliang Zhang · Peter Richtarik
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Autoencoder Image Interpolation by Shaping the Latent Space
In Poster Session 1
Alon Oring · Zohar Yakhini · Yacov Hel-Or
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
On the Random Conjugate Kernel and Neural Tangent Kernel
In Poster Session 1
Zhengmian Hu · Heng Huang
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Imitation by Predicting Observations
In Poster Session 1
Andrew Jaegle · Yury Sulsky · Arun Ahuja · Jake Bruce · Rob Fergus · Greg Wayne
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
In Poster Session 1
Yihe Dong · Jean-Baptiste Cordonnier · Andreas Loukas
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Bias-Robust Bayesian Optimization via Dueling Bandits
In Poster Session 1
Johannes Kirschner · Andreas Krause
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Efficient Generative Modelling of Protein Structure Fragments using a Deep Markov Model
In Poster Session 1
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)
One-sided Frank-Wolfe algorithms for saddle problems
In Poster Session 1
Vladimir Kolmogorov · Thomas Pock
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
OmniNet: Omnidirectional Representations from Transformers
In Poster Session 1
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)
Is Space-Time Attention All You Need for Video Understanding?
In Poster Session 1
Gedas Bertasius · Heng Wang · Lorenzo Torresani
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Scalable Computations of Wasserstein Barycenter via Input Convex Neural Networks
In Poster Session 1
Jiaojiao Fan · Amirhossein Taghvaei · Yongxin Chen
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Amortized Conditional Normalized Maximum Likelihood: Reliable Out of Distribution Uncertainty Estimation
In Poster Session 1
Aurick Zhou · Sergey Levine
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Thinking Like Transformers
In Poster Session 1
Gail Weiss · Yoav Goldberg · Eran Yahav
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Bias-Variance Reduced Local SGD for Less Heterogeneous Federated Learning
In Poster Session 1
Tomoya Murata · Taiji Suzuki
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Breaking the Limits of Message Passing Graph Neural Networks
In Poster Session 1
Muhammet Balcilar · Pierre Heroux · Benoit Gauzere · Pascal Vasseur · Sebastien Adam · Paul Honeine
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Model-Free Reinforcement Learning: from Clipped Pseudo-Regret to Sample Complexity
In Poster Session 1
Zhang Zihan · Yuan Zhou · Xiangyang Ji
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Low-Rank Sinkhorn Factorization
In Poster Session 1
Meyer Scetbon · Marco Cuturi · Gabriel Peyré
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Asynchronous Decentralized Optimization With Implicit Stochastic Variance Reduction
In Poster Session 1
Kenta Niwa · Guoqiang Zhang · W. Bastiaan Kleijn · Noboru Harada · Hiroshi Sawada · Akinori Fujino
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Order Matters: Probabilistic Modeling of Node Sequence for Graph Generation
In Poster Session 1
Xiaohui Chen · Xu Han · Jiajing Hu · Francisco Ruiz · Liping Liu
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Loss Surface Simplexes for Mode Connecting Volumes and Fast Ensembling
In Poster Session 1
Gregory Benton · Wesley Maddox · Sanae Lotfi · Andrew Wilson
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
AutoSampling: Search for Effective Data Sampling Schedules
In Poster Session 1
MING SUN · Haoxuan Dou · Baopu Li · Junjie Yan · Wanli Ouyang · Lei Cui
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Risk-Sensitive Reinforcement Learning with Function Approximation: A Debiasing Approach
In Poster Session 1
Yingjie Fei · Zhuoran Yang · Zhaoran Wang
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Consistent Nonparametric Methods for Network Assisted Covariate Estimation
In Poster Session 1
Xueyu Mao · Deepayan Chakrabarti · Purnamrita Sarkar
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Oops I Took A Gradient: Scalable Sampling for Discrete Distributions
In Poster Session 1
Will Grathwohl · Kevin Swersky · Milad Hashemi · David Duvenaud · Chris Maddison
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
PODS: Policy Optimization via Differentiable Simulation
In Poster Session 1
Miguel Angel Zamora Mora · Momchil Peychev · Sehoon Ha · Martin Vechev · Stelian Coros
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Vector Quantized Models for Planning
In Poster Session 1
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)
Neural-Pull: Learning Signed Distance Function from Point clouds by Learning to Pull Space onto Surface
In Poster Session 1
Baorui Ma · Zhizhong Han · Yushen Liu · Matthias Zwicker
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Tesseract: Tensorised Actors for Multi-Agent Reinforcement Learning
In Poster Session 1
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
Unifying Vision-and-Language Tasks via Text Generation
In Poster Session 1
Jaemin Cho · Jie Lei · Hao Tan · Mohit Bansal
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
PID Accelerated Value Iteration Algorithm
In Poster Session 1
Amir-massoud Farahmand · Mohammad Ghavamzadeh
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Generative Particle Variational Inference via Estimation of Functional Gradients
In Poster Session 1
Neale Ratzlaff · Jerry Bai · Fuxin Li · Wei Xu
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
SPADE: A Spectral Method for Black-Box Adversarial Robustness Evaluation
In Poster Session 1
Wuxinlin Cheng · Chenhui Deng · Zhiqiang Zhao · Yaohui Cai · Zhiru Zhang · Zhuo Feng
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Generative Adversarial Transformers
In Poster Session 1
Drew A. Hudson · Larry Zitnick
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
HardCoRe-NAS: Hard Constrained diffeRentiable Neural Architecture Search
In Poster Session 1
Niv Nayman · Yonathan Aflalo · Asaf Noy · Lihi Zelnik
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Demonstration-Conditioned Reinforcement Learning for Few-Shot Imitation
In Poster Session 1
Christopher Dance · Perez Julien · Théo Cachet
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Relative Positional Encoding for Transformers with Linear Complexity
In Poster Session 1
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
Hierarchical VAEs Know What They Don’t Know
In Poster Session 1
Jakob D. Havtorn · Jes Frellsen · Søren Hauberg · Lars Maaløe
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Riemannian Convex Potential Maps
In Poster Session 1
samuel cohen · Brandon Amos · Yaron Lipman
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Bayesian Deep Learning via Subnetwork Inference
In Poster Session 1
Erik Daxberger · Eric Nalisnick · James Allingham · Javier Antorán · Jose Miguel Hernandez-Lobato
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Learning Routines for Effective Off-Policy Reinforcement Learning
In Poster Session 1
Edoardo Cetin · Oya Celiktutan
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Exploiting structured data for learning contagious diseases under incomplete testing
In Poster Session 1
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)
Controlling Graph Dynamics with Reinforcement Learning and Graph Neural Networks
In Poster Session 1
Eli Meirom · Haggai Maron · Shie Mannor · Gal Chechik
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Size-Invariant Graph Representations for Graph Classification Extrapolations
In Poster Session 1
Beatrice Bevilacqua · Yangze Zhou · Bruno Ribeiro
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Offline Reinforcement Learning with Pseudometric Learning
In Poster Session 1
Robert Dadashi · Shideh Rezaeifar · Nino Vieillard · Léonard Hussenot · Olivier Pietquin · Matthieu Geist
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Fast Projection Onto Convex Smooth Constraints
In Poster Session 1
Ilnura Usmanova · Maryam Kamgarpour · Andreas Krause · Kfir Levy
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Voice2Series: Reprogramming Acoustic Models for Time Series Classification
In Poster Session 1
Huck Yang · Yun-Yun Tsai · Pin-Yu Chen
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Neural Symbolic Regression that scales
In Poster Session 1
Luca Biggio · Tommaso Bendinelli · Alexander Neitz · Aurelien Lucchi · Giambattista Parascandolo
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Improved Denoising Diffusion Probabilistic Models
In Poster Session 1
Alexander Nichol · Prafulla Dhariwal
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Revisiting Rainbow: Promoting more insightful and inclusive deep reinforcement learning research
In Poster Session 1
Johan Obando Ceron · Pablo Samuel Castro
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
World Model as a Graph: Learning Latent Landmarks for Planning
In Poster Session 1
Lunjun Zhang · Ge Yang · Bradly Stadie
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
On the Optimality of Batch Policy Optimization Algorithms
In Poster Session 1
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)
NeRF-VAE: A Geometry Aware 3D Scene Generative Model
In Poster Session 1
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) @ Virtual
Zoo-Tuning: Adaptive Transfer from A Zoo of Models
In Poster Session 1
Yang Shu · Zhi Kou · Zhangjie Cao · Jianmin Wang · Mingsheng Long
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Evolving Attention with Residual Convolutions
In Poster Session 1
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) @ Virtual
Momentum Residual Neural Networks
In Poster Session 1
Michael Sander · Pierre Ablin · Mathieu Blondel · Gabriel Peyré
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
PC-MLP: Model-based Reinforcement Learning with Policy Cover Guided Exploration
In Poster Session 1
Yuda Song · Wen Sun
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
State Entropy Maximization with Random Encoders for Efficient Exploration
In Poster Session 1
Younggyo Seo · Lili Chen · Jinwoo Shin · Honglak Lee · Pieter Abbeel · Kimin Lee
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Coach-Player Multi-agent Reinforcement Learning for Dynamic Team Composition
In Poster Session 1
Bo Liu · Qiang Liu · Peter Stone · Animesh Garg · Yuke Zhu · Anima Anandkumar
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Towards Understanding Learning in Neural Networks with Linear Teachers
In Poster Session 1
Roei Sarussi · Alon Brutzkus · Amir Globerson
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Optimal Complexity in Decentralized Training
In Poster Session 1
Yucheng Lu · Christopher De Sa
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Deep kernel processes
In Poster Session 1
Laurence Aitchison · Adam Yang · Sebastian Ober
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Fundamental Tradeoffs in Distributionally Adversarial Training
In Poster Session 1
Mohammad Mehrabi · Adel Javanmard · Ryan A. Rossi · Anup Rao · Tung Mai
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Explainable Automated Graph Representation Learning with Hyperparameter Importance
In Poster Session 1
Xin Wang · Shuyi Fan · Kun Kuang · Wenwu Zhu
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
Distributionally Robust Optimization with Markovian Data
In Poster Session 1
Mengmeng Li · Tobias Sutter · Daniel Kuhn
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Learning Task Informed Abstractions
In Poster Session 1
Xiang Fu · Ge Yang · Pulkit Agrawal · Tommi Jaakkola
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT) @ Virtual
Interpretable Stability Bounds for Spectral Graph Filters
In Poster Session 1
Henry Kenlay · Dorina Thanou · Xiaowen Dong
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
A Policy Gradient Algorithm for Learning to Learn in Multiagent Reinforcement Learning
In Poster Session 1
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) @ Virtual
LTL2Action: Generalizing LTL Instructions for Multi-Task RL
In Poster Session 1
Pashootan Vaezipoor · Andrew C Li · Rodrigo A Toro Icarte · Sheila McIlraith
Poster
Tue Jul 20 09:00 AM -- 11:00 AM (PDT)
A Hybrid Variance-Reduced Method for Decentralized Stochastic Non-Convex Optimization
In Poster Session 1
Ran Xin · Usman Khan · Soummya Kar
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 · Le Song · Stefanie Jegelka · Csaba Szepesvari
Oral
Tue Jul 20 05:00 PM -- 05:20 PM (PDT)
NeRF-VAE: A Geometry Aware 3D Scene Generative Model
In Deep Generative Model 3
Adam Kosiorek · Heiko Strathmann · Daniel Zoran · Pol Moreno · Rosalia Schneider · Sona Mokra · Danilo J. Rezende
[ Paper ]
Oral
Tue Jul 20 05:00 PM -- 05:20 PM (PDT)
A Tale of Two Efficient and Informative Negative Sampling Distributions
In Optimization and Algorithms 1
Shabnam Daghaghi · Tharun Medini · Nicholas Meisburger · Beidi Chen · Mengnan Zhao · Anshumali Shrivastava
[ Paper ]
Oral
Tue Jul 20 05:00 PM -- 05:20 PM (PDT)
Characterizing Structural Regularities of Labeled Data in Overparameterized Models
In Deep Learning 2
Ziheng Jiang · Chiyuan Zhang · Kunal Talwar · Michael Mozer
[ Paper ]
Oral
Tue Jul 20 05:00 PM -- 05:20 PM (PDT)
Randomized Entity-wise Factorization for Multi-Agent Reinforcement Learning
In Reinforcement Learning 3
Shariq Iqbal · Christian Schroeder · Bei Peng · Wendelin Boehmer · Shimon Whiteson · Fei Sha
[ Paper ]
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
In Reinforcement Learning and Planning 3
Angelos Filos · Clare Lyle · Yarin Gal · Sergey Levine · Natasha Jaques · Gregory Farquhar
[ Paper ]
Oral
Tue Jul 20 05:00 PM -- 05:20 PM (PDT)
A Practical Method for Constructing Equivariant Multilayer Perceptrons for Arbitrary Matrix Groups
In Deep Learning Algorithms 5
Marc Finzi · Max Welling · Andrew Wilson
[ Paper ]
Oral
Tue Jul 20 05:00 PM -- 05:20 PM (PDT)
On the price of explainability for some clustering problems
In Optimization 3
Eduardo Laber · Lucas Murtinho
[ Paper ]
Oral
Tue Jul 20 05:00 PM -- 05:20 PM (PDT)
CATE: Computation-aware Neural Architecture Encoding with Transformers
In Deep Learning Algorithms 6
Shen Yan · Kaiqiang Song · Fei Liu · Mi Zhang
[ Paper ]
Oral
Tue Jul 20 05:00 PM -- 05:20 PM (PDT)
Robust Asymmetric Learning in POMDPs
In Reinforcement Learning 4
Andrew Warrington · Jonathan Lavington · Adam Scibior · Mark Schmidt · Frank Wood
[ Paper ]
Spotlight
Tue Jul 20 05:20 PM -- 05:25 PM (PDT)
What Does Rotation Prediction Tell Us about Classifier Accuracy under Varying Testing Environments?
In Deep Learning Algorithms 6
Weijian Deng · Stephen Gould · Liang Zheng
[ Paper ]
Spotlight
Tue Jul 20 05:20 PM -- 05:25 PM (PDT)
Quantitative Understanding of VAE as a Non-linearly Scaled Isometric Embedding
In Deep Generative Model 3
Akira Nakagawa · Keizo Kato · Taiji Suzuki
[ Paper ]
Spotlight
Tue Jul 20 05:20 PM -- 05:25 PM (PDT)
Stabilizing Equilibrium Models by Jacobian Regularization
In Deep Learning 2
Shaojie Bai · Vladlen Koltun · Zico Kolter
[ Paper ]
Spotlight
Tue Jul 20 05:20 PM -- 05:25 PM (PDT)
Safe Reinforcement Learning with Linear Function Approximation
In Reinforcement Learning and Planning 3
Sanae Amani Geshnigani · Christos Thrampoulidis · Lin Yang
[ Paper ]
Spotlight
Tue Jul 20 05:20 PM -- 05:25 PM (PDT)
Instance Specific Approximations for Submodular Maximization
In Optimization 3
Eric Balkanski · Sharon Qian · Yaron Singer
[ Paper ]
Spotlight
Tue Jul 20 05:20 PM -- 05:25 PM (PDT)
Re-understanding Finite-State Representations of Recurrent Policy Networks
In Reinforcement Learning 3
Mohamad H Danesh · Anurag Koul · Alan Fern · Saeed Khorram
[ Paper ]
Spotlight
Tue Jul 20 05:20 PM -- 05:25 PM (PDT)
Differentiable Spatial Planning using Transformers
In Reinforcement Learning 4
Devendra Singh Chaplot · Deepak Pathak · Jitendra Malik
[ Paper ]
Spotlight
Tue Jul 20 05:20 PM -- 05:25 PM (PDT)
TeraPipe: Token-Level Pipeline Parallelism for Training Large-Scale Language Models
In Optimization and Algorithms 1
Zhuohan Li · Siyuan Zhuang · Shiyuan Guo · Danyang Zhuo · Hao Zhang · Dawn Song · Ion Stoica
[ Paper ]
Spotlight
Tue Jul 20 05:20 PM -- 05:25 PM (PDT)
Accelerate CNNs from Three Dimensions: A Comprehensive Pruning Framework
In Deep Learning Algorithms 5
Wenxiao Wang · Minghao Chen · Shuai Zhao · Long Chen · Jinming Hu · Haifeng Liu · Deng Cai · Xiaofei He · Wei Liu
[ Paper ]
Spotlight
Tue Jul 20 05:25 PM -- 05:30 PM (PDT)
Quantization Algorithms for Random Fourier Features
In Optimization and Algorithms 1
Xiaoyun Li · Ping Li
[ Paper ]
Spotlight
Tue Jul 20 05:25 PM -- 05:30 PM (PDT)
Shortest-Path Constrained Reinforcement Learning for Sparse Reward Tasks
In Reinforcement Learning and Planning 3
Sungryull Sohn · Sungtae Lee · Jongwook Choi · Harm van Seijen · Mehdi Fatemi · Honglak Lee
[ Paper ]
Spotlight
Tue Jul 20 05:25 PM -- 05:30 PM (PDT)
Adapting to Delays and Data in Adversarial Multi-Armed Bandits
In Optimization 3
András György · Pooria Joulani
[ Paper ]
Spotlight
Tue Jul 20 05:25 PM -- 05:30 PM (PDT)
The Earth Mover's Pinball Loss: Quantiles for Histogram-Valued Regression
In Deep Learning Algorithms 5
Florian List
[ Paper ]
Spotlight
Tue Jul 20 05:25 PM -- 05:30 PM (PDT)
Towards Domain-Agnostic Contrastive Learning
In Deep Learning Algorithms 6
Vikas Verma · Thang Luong · Kenji Kawaguchi · Hieu Pham · Quoc Le
[ Paper ]
Spotlight
Tue Jul 20 05:25 PM -- 05:30 PM (PDT)
On the Predictability of Pruning Across Scales
In Deep Learning 2
Jonathan Rosenfeld · Jonathan Frankle · Michael Carbin · Nir Shavit
[ Paper ]
Spotlight
Tue Jul 20 05:25 PM -- 05:30 PM (PDT)
Convex Regularization in Monte-Carlo Tree Search
In Reinforcement Learning 4
Tuan Q Dam · Carlo D'Eramo · Jan Peters · Joni Pajarinen
[ Paper ]
Spotlight
Tue Jul 20 05:25 PM -- 05:30 PM (PDT)
Soft then Hard: Rethinking the Quantization in Neural Image Compression
In Deep Generative Model 3
Zongyu Guo · Zhizheng Zhang · Runsen Feng · Zhibo Chen
[ Paper ]
Spotlight
Tue Jul 20 05:25 PM -- 05:30 PM (PDT)
Emergent Social Learning via Multi-agent Reinforcement Learning
In Reinforcement Learning 3
Kamal Ndousse · Douglas Eck · Sergey Levine · Natasha Jaques
[ Paper ]
Spotlight
Tue Jul 20 05:30 PM -- 05:35 PM (PDT)
Improved Contrastive Divergence Training of Energy-Based Models
In Deep Generative Model 3
Yilun Du · Shuang Li · Josh Tenenbaum · Igor Mordatch
[ Paper ]
Spotlight
Tue Jul 20 05:30 PM -- 05:35 PM (PDT)
Signatured Deep Fictitious Play for Mean Field Games with Common Noise
In Deep Learning Algorithms 5
Ming Min · Ruimeng Hu
[ Paper ]
Spotlight
Tue Jul 20 05:30 PM -- 05:35 PM (PDT)
From Poincaré Recurrence to Convergence in Imperfect Information Games: Finding Equilibrium via Regularization
In Reinforcement Learning 3
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
[ Paper ]
Spotlight
Tue Jul 20 05:30 PM -- 05:35 PM (PDT)
Lottery Ticket Preserves Weight Correlation: Is It Desirable or Not?
In Deep Learning 2
Ning Liu · Geng Yuan · Zhengping Che · Xuan Shen · Xiaolong Ma · Qing Jin · Jian Ren · Jian Tang · Sijia Liu · Yanzhi Wang
[ Paper ]
Spotlight
Tue Jul 20 05:30 PM -- 05:35 PM (PDT)
Joining datasets via data augmentation in the label space for neural networks
In Deep Learning Algorithms 6
Junbo Zhao · Mingfeng Ou · linji Xue · Yunkai Cui · Sai Wu · Gang Chen
[ Paper ]
Spotlight
Tue Jul 20 05:30 PM -- 05:35 PM (PDT)
Rethinking Neural vs. Matrix-Factorization Collaborative Filtering: the Theoretical Perspectives
In Optimization and Algorithms 1
Da Xu · Chuanwei Ruan · Evren Korpeoglu · Sushant Kumar · Kannan Achan
[ Paper ]
Spotlight
Tue Jul 20 05:30 PM -- 05:35 PM (PDT)
Structured Convolutional Kernel Networks for Airline Crew Scheduling
In Optimization 3
Yassine Yaakoubi · Francois Soumis · Simon Lacoste-Julien
[ Paper ]
Spotlight
Tue Jul 20 05:30 PM -- 05:35 PM (PDT)
Offline Reinforcement Learning with Fisher Divergence Critic Regularization
In Reinforcement Learning and Planning 3
Ilya Kostrikov · Rob Fergus · Jonathan Tompson · Ofir Nachum
[ Paper ]
Spotlight
Tue Jul 20 05:30 PM -- 05:35 PM (PDT)
On-Policy Deep Reinforcement Learning for the Average-Reward Criterion
In Reinforcement Learning 4
Yiming Zhang · Keith Ross
[ Paper ]
Spotlight
Tue Jul 20 05:35 PM -- 05:40 PM (PDT)
Deep Generative Learning via Schrödinger Bridge
In Deep Generative Model 3
Gefei Wang · Yuling Jiao · Qian Xu · Yang Wang · Can Yang
[ Paper ]
Spotlight
Tue Jul 20 05:35 PM -- 05:40 PM (PDT)
Actionable Models: Unsupervised Offline Reinforcement Learning of Robotic Skills
In Reinforcement Learning 3
Yevgen Chebotar · Karol Hausman · Yao Lu · Ted Xiao · Dmitry Kalashnikov · Jacob Varley · Alexander Irpan · Benjamin Eysenbach · Ryan C Julian · Chelsea Finn · Sergey Levine
[ Paper ]
Spotlight
Tue Jul 20 05:35 PM -- 05:40 PM (PDT)
Multi-Task Reinforcement Learning with Context-based Representations
In Reinforcement Learning 4
Shagun Sodhani · Amy Zhang · Joelle Pineau
[ Paper ]
Spotlight
Tue Jul 20 05:35 PM -- 05:40 PM (PDT)
Recomposing the Reinforcement Learning Building Blocks with Hypernetworks
In Reinforcement Learning and Planning 3
Elad Sarafian · Shai Keynan · Sarit Kraus
[ Paper ]
Spotlight
Tue Jul 20 05:35 PM -- 05:40 PM (PDT)
Differentiable Sorting Networks for Scalable Sorting and Ranking Supervision
In Deep Learning Algorithms 6
Felix Petersen · Christian Borgelt · Hilde Kuehne · Oliver Deussen
[ Paper ]
Spotlight
Tue Jul 20 05:35 PM -- 05:40 PM (PDT)
LIME: Learning Inductive Bias for Primitives of Mathematical Reasoning
In Deep Learning 2
Yuhuai Wu · Markus Rabe · Wenda Li · Jimmy Ba · Roger Grosse · Christian Szegedy
[ Paper ]
Spotlight
Tue Jul 20 05:35 PM -- 05:40 PM (PDT)
Online Graph Dictionary Learning
In Optimization 3
Cédric Vincent-Cuaz · Titouan Vayer · Rémi Flamary · Marco Corneli · Nicolas Courty
[ Paper ]
Spotlight
Tue Jul 20 05:35 PM -- 05:40 PM (PDT)
Equivariant message passing for the prediction of tensorial properties and molecular spectra
In Deep Learning Algorithms 5
Kristof T Schütt · Oliver Unke · Michael Gastegger
[ Paper ]
Spotlight
Tue Jul 20 05:35 PM -- 05:40 PM (PDT)
Concentric mixtures of Mallows models for top-$k$ rankings: sampling and identifiability
In Optimization and Algorithms 1
Fabien Collas · Ekhine IRUROZKI
[ Paper ]
Spotlight
Tue Jul 20 05:40 PM -- 05:45 PM (PDT)
Stochastic Iterative Graph Matching
In Optimization 3
Linfeng Liu · Michael Hughes · Soha Hassoun · Liping Liu
[ Paper ]
Spotlight
Tue Jul 20 05:40 PM -- 05:45 PM (PDT)
OptiDICE: Offline Policy Optimization via Stationary Distribution Correction Estimation
In Reinforcement Learning and Planning 3
Jongmin Lee · Wonseok Jeon · Byung-Jun Lee · Joelle Pineau · Kee-Eung Kim
[ Paper ]
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
In Deep Learning 2
Ilan Price · Jared Tanner
[ Paper ]
Spotlight
Tue Jul 20 05:40 PM -- 05:45 PM (PDT)
Heterogeneity for the Win: One-Shot Federated Clustering
In Optimization and Algorithms 1
Don Kurian Dennis · Tian Li · Virginia Smith
[ Paper ]
Spotlight
Tue Jul 20 05:40 PM -- 05:45 PM (PDT)
High Confidence Generalization for Reinforcement Learning
In Reinforcement Learning 4
James Kostas · Yash Chandak · Scott Jordan · Georgios Theocharous · Philip Thomas
[ Paper ]
Spotlight
Tue Jul 20 05:40 PM -- 05:45 PM (PDT)
Improving Breadth-Wise Backpropagation in Graph Neural Networks Helps Learning Long-Range Dependencies.
In Deep Learning Algorithms 5
Denis Lukovnikov · Asja Fischer
[ Paper ]
Spotlight
Tue Jul 20 05:40 PM -- 05:45 PM (PDT)
Meta-StyleSpeech : Multi-Speaker Adaptive Text-to-Speech Generation
In Deep Learning Algorithms 6
Dongchan Min · Dong Bok Lee · Eunho Yang · Sung Ju Hwang
[ Paper ]
Spotlight
Tue Jul 20 05:40 PM -- 05:45 PM (PDT)
Trajectory Diversity for Zero-Shot Coordination
In Reinforcement Learning 3
Andrei Lupu · Brandon Cui · Hengyuan Hu · Jakob Foerster
[ Paper ]
Spotlight
Tue Jul 20 05:40 PM -- 05:45 PM (PDT)
Partially Observed Exchangeable Modeling
In Deep Generative Model 3
Yang Li · Junier Oliva
[ Paper ]
Spotlight
Tue Jul 20 05:45 PM -- 05:50 PM (PDT)
Discovering symbolic policies with deep reinforcement learning
In Reinforcement Learning and Planning 3
Mikel Landajuela Larma · Brenden Petersen · Sookyung Kim · Claudio Santiago · Ruben Glatt · Nathan Mundhenk · Jacob Pettit · Daniel Faissol
[ Paper ]
Spotlight
Tue Jul 20 05:45 PM -- 05:50 PM (PDT)
FOP: Factorizing Optimal Joint Policy of Maximum-Entropy Multi-Agent Reinforcement Learning
In Reinforcement Learning 3
Tianhao Zhang · yueheng li · Chen Wang · Guangming Xie · Zongqing Lu
[ Paper ]
Spotlight
Tue Jul 20 05:45 PM -- 05:50 PM (PDT)
Understanding Failures in Out-of-Distribution Detection with Deep Generative Models
In Deep Generative Model 3
Lily Zhang · Mark Goldstein · Rajesh Ranganath
[ Paper ]
Spotlight
Tue Jul 20 05:45 PM -- 05:50 PM (PDT)
Training Quantized Neural Networks to Global Optimality via Semidefinite Programming
In Optimization 3
Burak Bartan · Mert Pilanci
[ Paper ]
Spotlight
Tue Jul 20 05:45 PM -- 05:50 PM (PDT)
Learning Neural Network Subspaces
In Deep Learning 2
Mitchell Wortsman · Maxwell Horton · Carlos Guestrin · Ali Farhadi · Mohammad Rastegari
[ Paper ]
Spotlight
Tue Jul 20 05:45 PM -- 05:50 PM (PDT)
Cross-Gradient Aggregation for Decentralized Learning from Non-IID Data
In Optimization and Algorithms 1
Yasaman Esfandiari · Sin Yong Tan · Zhanhong Jiang · Aditya Balu · Ethan Herron · Chinmay Hegde · Soumik Sarkar
[ Paper ]
Spotlight
Tue Jul 20 05:45 PM -- 05:50 PM (PDT)
Locally Persistent Exploration in Continuous Control Tasks with Sparse Rewards
In Reinforcement Learning 4
Susan Amin · Maziar Gomrokchi · Hossein Aboutalebi · Harsh Satija · Doina Precup
[ Paper ]
Spotlight
Tue Jul 20 05:45 PM -- 05:50 PM (PDT)
LARNet: Lie Algebra Residual Network for Face Recognition
In Deep Learning Algorithms 5
Xiaolong Yang · Xiaohong Jia · Dihong Gong · Dong-Ming Yan · Zhifeng Li · Wei Liu
[ Paper ]
Spotlight
Tue Jul 20 05:45 PM -- 05:50 PM (PDT)
Poolingformer: Long Document Modeling with Pooling Attention
In Deep Learning Algorithms 6
Hang ZHANG · Yeyun Gong · Yelong Shen · Weisheng Li · Jiancheng Lv · Nan Duan · Weizhu Chen
[ Paper ]
Q&A
Tue Jul 20 05:50 PM -- 05:55 PM (PDT)
Q&A
In Reinforcement Learning 3
Q&A
Tue Jul 20 05:50 PM -- 05:55 PM (PDT)
Q&A
In Deep Generative Model 3
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Tue Jul 20 05:50 PM -- 05:55 PM (PDT)
Q&A
In Deep Learning 2
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Tue Jul 20 05:50 PM -- 05:55 PM (PDT)
Q&A
In Deep Learning Algorithms 6
Q&A
Tue Jul 20 05:50 PM -- 05:55 PM (PDT)
Q&A
In Optimization 3
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Tue Jul 20 05:50 PM -- 05:55 PM (PDT)
Q&A
In Optimization and Algorithms 1
Q&A
Tue Jul 20 05:50 PM -- 05:55 PM (PDT)
Q&A
In Reinforcement Learning 4
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Tue Jul 20 05:50 PM -- 05:55 PM (PDT)
Q&A
In Reinforcement Learning and Planning 3
Q&A
Tue Jul 20 05:50 PM -- 05:55 PM (PDT)
Q&A
In Deep Learning Algorithms 5
Oral
Tue Jul 20 06:00 PM -- 06:20 PM (PDT)
The Power of Adaptivity for Stochastic Submodular Cover
In Optimization (Stochastic)
Rohan Ghuge · Anupam Gupta · viswanath nagarajan
[ Paper ]
Oral
Tue Jul 20 06:00 PM -- 06:20 PM (PDT)
Generating images with sparse representations
In Deep Generative Model 4
Charlie Nash · Jacob Menick · Sander Dieleman · Peter Battaglia
[ Paper ]
Oral
Tue Jul 20 06:00 PM -- 06:20 PM (PDT)
The Emergence of Individuality
In Reinforcement Learning 5
Jiechuan Jiang · Zongqing Lu
[ Paper ]
Oral
Tue Jul 20 06:00 PM -- 06:20 PM (PDT)
Decoupling Value and Policy for Generalization in Reinforcement Learning
In Reinforcement Learning 6
Roberta Raileanu · Rob Fergus
[ Paper ]
Oral
Tue Jul 20 06:00 PM -- 06:20 PM (PDT)
A Wasserstein Minimax Framework for Mixed Linear Regression
In Algorithms 1
Theo Diamandis · Yonina Eldar · Alireza Fallah · Farzan Farnia · Asuman Ozdaglar
[ Paper ]
Oral
Tue Jul 20 06:00 PM -- 06:20 PM (PDT)
Network Inference and Influence Maximization from Samples
In Optimization and Algorithms 2
Wei Chen · Xiaoming Sun · Jialin Zhang · Zhijie Zhang
[ Paper ]
Oral
Tue Jul 20 06:00 PM -- 06:20 PM (PDT)
PEBBLE: Feedback-Efficient Interactive Reinforcement Learning via Relabeling Experience and Unsupervised Pre-training
In Reinforcement Learning 7
Kimin Lee · Laura Smith · Pieter Abbeel
[ Paper ]
Oral
Tue Jul 20 06:00 PM -- 06:20 PM (PDT)
Unbiased Gradient Estimation in Unrolled Computation Graphs with Persistent Evolution Strategies
In Deep Learning Algorithms and Applications
Paul Vicol · Luke Metz · Jascha Sohl-Dickstein
[ Paper ]
Spotlight
Tue Jul 20 06:00 PM -- 06:05 PM (PDT)
iDARTS: Differentiable Architecture Search with Stochastic Implicit Gradients
In AutoML
Miao Zhang · Steven Su · Shirui Pan · Xiaojun Chang · Ehsan Abbasnejad · Reza Haffari
[ Paper ]
Spotlight
Tue Jul 20 06:05 PM -- 06:10 PM (PDT)
Accurate Post Training Quantization With Small Calibration Sets
In AutoML
Itay Hubara · Yury Nahshan · Yair Hanani · Ron Banner · Daniel Soudry
[ Paper ]
Spotlight
Tue Jul 20 06:10 PM -- 06:15 PM (PDT)
Optimal Transport Kernels for Sequential and Parallel Neural Architecture Search
In AutoML
Vu Nguyen · Tam Le · Makoto Yamada · Michael A Osborne
[ Paper ]
Oral
Tue Jul 20 06:15 PM -- 06:35 PM (PDT)
Few-Shot Neural Architecture Search
In AutoML
Yiyang Zhao · Linnan Wang · Yuandong Tian · Rodrigo Fonseca · Tian Guo
[ Paper ]
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
In Reinforcement Learning 5
Wei-Fang Sun · Cheng-Kuang Lee · Chun-Yi Lee
[ Paper ]
Spotlight
Tue Jul 20 06:20 PM -- 06:25 PM (PDT)
Prioritized Level Replay
In Reinforcement Learning 6
Minqi Jiang · Edward Grefenstette · Tim Rocktäschel
[ Paper ]
Spotlight
Tue Jul 20 06:20 PM -- 06:25 PM (PDT)
The Heavy-Tail Phenomenon in SGD
In Optimization (Stochastic)
Mert Gurbuzbalaban · Umut Simsekli · Lingjiong Zhu
[ Paper ]
Spotlight
Tue Jul 20 06:20 PM -- 06:25 PM (PDT)
Uncertainty Weighted Actor-Critic for Offline Reinforcement Learning
In Reinforcement Learning 7
Yue Wu · Shuangfei Zhai · Nitish Srivastava · Joshua M Susskind · Jian Zhang · Ruslan Salakhutdinov · Hanlin Goh
[ Paper ]
Spotlight
Tue Jul 20 06:20 PM -- 06:25 PM (PDT)
EfficientNetV2: Smaller Models and Faster Training
In Deep Learning Algorithms and Applications
Mingxing Tan · Quoc Le
[ Paper ]
Spotlight
Tue Jul 20 06:20 PM -- 06:25 PM (PDT)
An Identifiable Double VAE For Disentangled Representations
In Deep Generative Model 4
Graziano Mita · Maurizio Filippone · Pietro Michiardi
[ Paper ]
Spotlight
Tue Jul 20 06:20 PM -- 06:25 PM (PDT)
Weight-covariance alignment for adversarially robust neural networks
In Algorithms 1
Panagiotis Eustratiadis · Henry Gouk · Da Li · Timothy Hospedales
[ Paper ]
Spotlight
Tue Jul 20 06:20 PM -- 06:25 PM (PDT)
Regularized Submodular Maximization at Scale
In Optimization and Algorithms 2
Ehsan Kazemi · shervin minaee · Moran Feldman · Amin Karbasi
[ Paper ]
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
In Reinforcement Learning 5
Yiwei Liu · Jiamou Liu · Kaibin Wan · Zhan Qin · Zijian Zhang · Bakhadyr Khoussainov · Liehuang Zhu
[ Paper ]
Spotlight
Tue Jul 20 06:25 PM -- 06:30 PM (PDT)
Keyframe-Focused Visual Imitation Learning
In Reinforcement Learning 7
Chuan Wen · Jierui Lin · Jianing Qian · Yang Gao · Dinesh Jayaraman
[ Paper ]
Spotlight
Tue Jul 20 06:25 PM -- 06:30 PM (PDT)
A Unified Generative Adversarial Network Training via Self-Labeling and Self-Attention
In Deep Generative Model 4
Tomoki Watanabe · Paolo Favaro
[ Paper ]
Spotlight
Tue Jul 20 06:25 PM -- 06:30 PM (PDT)
Federated Composite Optimization
In Optimization (Stochastic)
Honglin Yuan · Manzil Zaheer · Sashank Jakkam Reddi
[ Paper ]
Spotlight
Tue Jul 20 06:25 PM -- 06:30 PM (PDT)
Causal Curiosity: RL Agents Discovering Self-supervised Experiments for Causal Representation Learning
In Deep Learning Algorithms and Applications
Sumedh Sontakke · Arash Mehrjou · Laurent Itti · Bernhard Schölkopf
[ Paper ]
Spotlight
Tue Jul 20 06:25 PM -- 06:30 PM (PDT)
Marginal Contribution Feature Importance - an Axiomatic Approach for Explaining Data
In Optimization and Algorithms 2
Amnon Catav · Boyang Fu · Yazeed Zoabi · Ahuva Weiss Meilik · Noam Shomron · Jason Ernst · Sriram Sankararaman · Ran Gilad-Bachrach
[ Paper ]
Spotlight
Tue Jul 20 06:25 PM -- 06:30 PM (PDT)
SECANT: Self-Expert Cloning for Zero-Shot Generalization of Visual Policies
In Reinforcement Learning 6
Jim Fan · Guanzhi Wang · De-An Huang · Zhiding Yu · Li Fei-Fei · Yuke Zhu · Anima Anandkumar
[ Paper ]
Spotlight
Tue Jul 20 06:25 PM -- 06:30 PM (PDT)
Rethinking Rotated Object Detection with Gaussian Wasserstein Distance Loss
In Algorithms 1
Xue Yang · Junchi Yan · Qi Ming · Wentao Wang · xiaopeng zhang · Qi Tian
[ Paper ]
Spotlight
Tue Jul 20 06:30 PM -- 06:35 PM (PDT)
Connecting Interpretability and Robustness in Decision Trees through Separation
In Optimization and Algorithms 2
Michal Moshkovitz · Yao-Yuan Yang · Kamalika Chaudhuri
[ Paper ]
Spotlight
Tue Jul 20 06:30 PM -- 06:35 PM (PDT)
On Estimation in Latent Variable Models
In Optimization (Stochastic)
Guanhua Fang · Ping Li
[ Paper ]
Spotlight
Tue Jul 20 06:30 PM -- 06:35 PM (PDT)
GMAC: A Distributional Perspective on Actor-Critic Framework
In Reinforcement Learning 6
Daniel Nam · Younghoon Kim · Chan Youn Park
[ Paper ]
Spotlight
Tue Jul 20 06:30 PM -- 06:35 PM (PDT)
LAMDA: Label Matching Deep Domain Adaptation
In Deep Learning Algorithms and Applications
Trung Le · Tuan Nguyen · Nhat Ho · Hung Bui · Dinh Phung
[ Paper ]
Spotlight
Tue Jul 20 06:30 PM -- 06:35 PM (PDT)
Learning While Playing in Mean-Field Games: Convergence and Optimality
In Reinforcement Learning 5
Qiaomin Xie · Zhuoran Yang · Zhaoran Wang · Andreea Minca
[ Paper ]
Spotlight
Tue Jul 20 06:30 PM -- 06:35 PM (PDT)
On Characterizing GAN Convergence Through Proximal Duality Gap
In Deep Generative Model 4
Sahil Sidheekh · Aroof Aimen · Narayanan Chatapuram Krishnan
[ Paper ]
Spotlight
Tue Jul 20 06:30 PM -- 06:35 PM (PDT)
Learning and Planning in Average-Reward Markov Decision Processes
In Reinforcement Learning 7
Yi Wan · Abhishek Naik · Richard Sutton
[ Paper ]
Spotlight
Tue Jul 20 06:30 PM -- 06:35 PM (PDT)
Communication-Efficient Distributed SVD via Local Power Iterations
In Algorithms 1
Xiang Li · Shusen Wang · Kun Chen · Zhihua Zhang
[ Paper ]
Spotlight
Tue Jul 20 06:35 PM -- 06:40 PM (PDT)
Temporally Correlated Task Scheduling for Sequence Learning
In Deep Learning Algorithms and Applications
Xueqing Wu · Lewen Wang · Yingce Xia · Weiqing Liu · Lijun Wu · Shufang Xie · Tao Qin · Tie-Yan Liu
[ Paper ]
Spotlight
Tue Jul 20 06:35 PM -- 06:40 PM (PDT)
Towards Better Laplacian Representation in Reinforcement Learning with Generalized Graph Drawing
In Reinforcement Learning 7
Kaixin Wang · Kuangqi Zhou · Qixin Zhang · Jie Shao · Bryan Hooi · Jiashi Feng
[ Paper ]
Spotlight
Tue Jul 20 06:35 PM -- 06:40 PM (PDT)
Asynchronous Distributed Learning : Adapting to Gradient Delays without Prior Knowledge
In Optimization (Stochastic)
Rotem Zamir Aviv · Ido Hakimi · Assaf Schuster · Kfir Levy
[ Paper ]
Spotlight
Tue Jul 20 06:35 PM -- 06:40 PM (PDT)
Learning Fair Policies in Decentralized Cooperative Multi-Agent Reinforcement Learning
In Reinforcement Learning 5
Matthieu Zimmer · Claire Glanois · Umer Siddique · Paul Weng
[ Paper ]
Spotlight
Tue Jul 20 06:35 PM -- 06:40 PM (PDT)
A Riemannian Block Coordinate Descent Method for Computing the Projection Robust Wasserstein Distance
In Algorithms 1
Minhui Huang · Shiqian Ma · Lifeng Lai
[ Paper ]
Spotlight
Tue Jul 20 06:35 PM -- 06:40 PM (PDT)
Goal-Conditioned Reinforcement Learning with Imagined Subgoals
In Reinforcement Learning 6
Elliot Chane-Sane · Cordelia Schmid · Ivan Laptev
[ Paper ]
Spotlight
Tue Jul 20 06:35 PM -- 06:40 PM (PDT)
AutoAttend: Automated Attention Representation Search
In AutoML
Chaoyu Guan · Xin Wang · Wenwu Zhu
[ Paper ]
Spotlight
Tue Jul 20 06:35 PM -- 06:40 PM (PDT)
Light RUMs
In Optimization and Algorithms 2
Flavio Chierichetti · Ravi Kumar · Andrew Tomkins
[ Paper ]
Spotlight
Tue Jul 20 06:35 PM -- 06:40 PM (PDT)
Scalable Normalizing Flows for Permutation Invariant Densities
In Deep Generative Model 4
Marin Biloš · Stephan Günnemann
[ Paper ]
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
In Optimization and Algorithms 2
Georgios Amanatidis · Federico Fusco · Philip Lazos · Stefano Leonardi · Alberto Marchetti-Spaccamela · Rebecca Reiffenhäuser
[ Paper ]
Spotlight
Tue Jul 20 06:40 PM -- 06:45 PM (PDT)
Randomized Algorithms for Submodular Function Maximization with a $k$-System Constraint
In Optimization (Stochastic)
Shuang Cui · Kai Han · Tianshuai Zhu · Jing Tang · Benwei Wu · He Huang
[ Paper ]
Spotlight
Tue Jul 20 06:40 PM -- 06:45 PM (PDT)
Information Obfuscation of Graph Neural Networks
In Deep Learning Algorithms and Applications
Peiyuan Liao · Han Zhao · Keyulu Xu · Tommi Jaakkola · Geoff Gordon · Stefanie Jegelka · Ruslan Salakhutdinov
[ Paper ]
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
In AutoML
Xingchen Wan · Vu Nguyen · Huong Ha · Binxin Ru · Cong Lu · Michael A Osborne
[ Paper ]
Spotlight
Tue Jul 20 06:40 PM -- 06:45 PM (PDT)
Policy Gradient Bayesian Robust Optimization for Imitation Learning
In Reinforcement Learning 6
Zaynah Javed · Daniel Brown · Satvik Sharma · Jerry Zhu · Ashwin Balakrishna · Marek Petrik · Anca Dragan · Ken Goldberg
[ Paper ]
Spotlight
Tue Jul 20 06:40 PM -- 06:45 PM (PDT)
Low-Precision Reinforcement Learning: Running Soft Actor-Critic in Half Precision
In Reinforcement Learning 7
Johan Björck · Xiangyu Chen · Christopher De Sa · Carla Gomes · Kilian Weinberger
[ Paper ]
Spotlight
Tue Jul 20 06:40 PM -- 06:45 PM (PDT)
Parallel and Flexible Sampling from Autoregressive Models via Langevin Dynamics
In Deep Generative Model 4
Vivek Jayaram · John Thickstun
[ Paper ]
Spotlight
Tue Jul 20 06:40 PM -- 06:45 PM (PDT)
Augmented World Models Facilitate Zero-Shot Dynamics Generalization From a Single Offline Environment
In Reinforcement Learning 5
Philip Ball · Cong Lu · Jack Parker-Holder · Stephen Roberts
[ Paper ]
Spotlight
Tue Jul 20 06:40 PM -- 06:45 PM (PDT)
Probabilistic Sequential Shrinking: A Best Arm Identification Algorithm for Stochastic Bandits with Corruptions
In Algorithms 1
Zixin Zhong · Wang Chi Cheung · Vincent Tan
[ Paper ]
Q&A
Tue Jul 20 06:45 PM -- 06:50 PM (PDT)
Q&A
In Deep Learning Algorithms and Applications
Q&A
Tue Jul 20 06:45 PM -- 06:50 PM (PDT)
Q&A
In Reinforcement Learning 5
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
In AutoML
Yonggan Fu · Yongan Zhang · Yang Zhang · David Cox · Yingyan Lin
[ Paper ]
Spotlight
Tue Jul 20 06:45 PM -- 06:50 PM (PDT)
BASGD: Buffered Asynchronous SGD for Byzantine Learning
In Optimization (Stochastic)
Yi-Rui Yang · Wu-Jun Li
[ Paper ]
Spotlight
Tue Jul 20 06:45 PM -- 06:50 PM (PDT)
Leveraging Language to Learn Program Abstractions and Search Heuristics
In Algorithms 1
Catherine Wong · Kevin Ellis · Josh Tenenbaum · Jacob Andreas
[ Paper ]
Spotlight
Tue Jul 20 06:45 PM -- 06:50 PM (PDT)
Zero-Shot Text-to-Image Generation
In Deep Generative Model 4
Aditya Ramesh · Mikhail Pavlov · Gabriel Goh · Scott Gray · Chelsea Voss · Alec Radford · Mark Chen · Ilya Sutskever
[ Paper ]
Spotlight
Tue Jul 20 06:45 PM -- 06:50 PM (PDT)
CombOptNet: Fit the Right NP-Hard Problem by Learning Integer Programming Constraints
In Optimization and Algorithms 2
Anselm Paulus · Michal Rolinek · Vit Musil · Brandon Amos · Georg Martius
[ Paper ]
Spotlight
Tue Jul 20 06:45 PM -- 06:50 PM (PDT)
Emphatic Algorithms for Deep Reinforcement Learning
In Reinforcement Learning 7
Ray Jiang · Tom Zahavy · Zhongwen Xu · Adam White · Matteo Hessel · Charles Blundell · Hado van Hasselt
[ Paper ]
Spotlight
Tue Jul 20 06:45 PM -- 06:50 PM (PDT)
Reinforcement Learning of Implicit and Explicit Control Flow Instructions
In Reinforcement Learning 6
Ethan Brooks · Janarthanan Rajendran · Richard Lewis · Satinder Singh
[ Paper ]
Q&A
Tue Jul 20 06:50 PM -- 06:55 PM (PDT)
Q&A
In Deep Generative Model 4
Q&A
Tue Jul 20 06:50 PM -- 06:55 PM (PDT)
Q&A
In Algorithms 1
Q&A
Tue Jul 20 06:50 PM -- 06:55 PM (PDT)
Q&A
In Reinforcement Learning 6
Q&A
Tue Jul 20 06:50 PM -- 06:55 PM (PDT)
Q&A
In Reinforcement Learning 7
Q&A
Tue Jul 20 06:50 PM -- 06:55 PM (PDT)
Q&A
In Optimization (Stochastic)
Q&A
Tue Jul 20 06:50 PM -- 06:55 PM (PDT)
Q&A
In AutoML
Q&A
Tue Jul 20 06:50 PM -- 06:55 PM (PDT)
Q&A
In Optimization and Algorithms 2
Oral
Tue Jul 20 07:00 PM -- 07:20 PM (PDT)
Inverse Decision Modeling: Learning Interpretable Representations of Behavior
In Reinforcement Learning 8
Daniel Jarrett · Alihan Hüyük · Mihaela van der Schaar
[ Paper ]
Oral
Tue Jul 20 07:00 PM -- 07:20 PM (PDT)
Sequential Domain Adaptation by Synthesizing Distributionally Robust Experts
In Optimization 4
Bahar Taskesen · Man-Chung Yue · Jose Blanchet · Daniel Kuhn · Viet Anh Nguyen
[ Paper ]
Oral
Tue Jul 20 07:00 PM -- 07:20 PM (PDT)
AlphaNet: Improved Training of Supernets with Alpha-Divergence
In AutoML and Neural Network Architectures 2
Dilin Wang · Chengyue Gong · Meng Li · Qiang Liu · Vikas Chandra
[ Paper ]
Oral
Tue Jul 20 07:00 PM -- 07:20 PM (PDT)
Cooperative Exploration for Multi-Agent Deep Reinforcement Learning
In Deep Reinforcement Learning 3
Iou-Jen Liu · Unnat Jain · Raymond Yeh · Alex Schwing
[ Paper ]
Oral
Tue Jul 20 07:00 PM -- 07:20 PM (PDT)
Just Train Twice: Improving Group Robustness without Training Group Information
In Deep Learning Algorithms 8
Evan Liu · Behzad Haghgoo · Annie Chen · Aditi Raghunathan · Pang Wei Koh · Shiori Sagawa · Percy Liang · Chelsea Finn
[ Paper ]
Oral
Tue Jul 20 07:00 PM -- 07:20 PM (PDT)
ActNN: Reducing Training Memory Footprint via 2-Bit Activation Compressed Training
In Large Scale Optimization
Jianfei Chen · Lianmin Zheng · Zhewei Yao · Dequan Wang · Ion Stoica · Michael Mahoney · Joseph E Gonzalez
[ Paper ]
Oral
Tue Jul 20 07:00 PM -- 07:20 PM (PDT)
Out-of-Distribution Generalization via Risk Extrapolation (REx)
In Deep Learning Algorithms 7
David Krueger · Ethan Caballero · Joern-Henrik Jacobsen · Amy Zhang · Jonathan Binas · Dinghuai Zhang · Remi Le Priol · Aaron Courville
[ Paper ]
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
In Optimization (Convex) 2
TaeHo Yoon · Ernest Ryu
[ Paper ]
Oral
Tue Jul 20 07:00 PM -- 07:20 PM (PDT)
Hyperparameter Selection for Imitation Learning
In Reinforcement Learning 9
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
[ Paper ]
Spotlight
Tue Jul 20 07:20 PM -- 07:25 PM (PDT)
Householder Sketch for Accurate and Accelerated Least-Mean-Squares Solvers
In Large Scale Optimization
Jyotikrishna Dass · Rabi Mahapatra
[ Paper ]
Spotlight
Tue Jul 20 07:20 PM -- 07:25 PM (PDT)
What Makes for End-to-End Object Detection?
In Deep Learning Algorithms 7
Peize Sun · Yi Jiang · Enze Xie · Wenqi Shao · Zehuan Yuan · Changhu Wang · Ping Luo
[ Paper ]
Spotlight
Tue Jul 20 07:20 PM -- 07:25 PM (PDT)
Revisiting Peng's Q($\lambda$) for Modern Reinforcement Learning
In Reinforcement Learning 9
Tadashi Kozuno · Yunhao Tang · Mark Rowland · Remi Munos · Steven Kapturowski · Will Dabney · Michal Valko · David Abel
[ Paper ]
Spotlight
Tue Jul 20 07:20 PM -- 07:25 PM (PDT)
Communication-Efficient Distributed Optimization with Quantized Preconditioners
In Optimization (Convex) 2
Foivos Alimisis · Peter Davies · Dan Alistarh
[ Paper ]
Spotlight
Tue Jul 20 07:20 PM -- 07:25 PM (PDT)
A Deep Reinforcement Learning Approach to Marginalized Importance Sampling with the Successor Representation
In Deep Reinforcement Learning 3
Scott Fujimoto · David Meger · Doina Precup
[ Paper ]
Spotlight
Tue Jul 20 07:20 PM -- 07:25 PM (PDT)
Catformer: Designing Stable Transformers via Sensitivity Analysis
In AutoML and Neural Network Architectures 2
Jared Quincy Davis · Albert Gu · Krzysztof Choromanski · Tri Dao · Christopher Re · Chelsea Finn · Percy Liang
[ Paper ]
Spotlight
Tue Jul 20 07:20 PM -- 07:25 PM (PDT)
Oblivious Sketching-based Central Path Method for Linear Programming
In Optimization 4
Zhao Song · Zheng Yu
[ Paper ]
Spotlight
Tue Jul 20 07:20 PM -- 07:25 PM (PDT)
On Proximal Policy Optimization's Heavy-tailed Gradients
In Reinforcement Learning 8
Saurabh Garg · Joshua Zhanson · Emilio Parisotto · Adarsh Prasad · Zico Kolter · Zachary Lipton · Sivaraman Balakrishnan · Ruslan Salakhutdinov · Pradeep Ravikumar
[ Paper ]
Spotlight
Tue Jul 20 07:20 PM -- 07:25 PM (PDT)
Optimization of Graph Neural Networks: Implicit Acceleration by Skip Connections and More Depth
In Deep Learning Algorithms 8
Keyulu Xu · Mozhi Zhang · Stefanie Jegelka · Kenji Kawaguchi
[ Paper ]
Spotlight
Tue Jul 20 07:25 PM -- 07:30 PM (PDT)
Bayesian Optimization over Hybrid Spaces
In Optimization 4
Aryan Deshwal · Syrine Belakaria · Jana Doppa
[ Paper ]
Spotlight
Tue Jul 20 07:25 PM -- 07:30 PM (PDT)
Learning to Weight Imperfect Demonstrations
In Deep Reinforcement Learning 3
Yunke Wang · Chang Xu · Bo Du · Honglak Lee
[ Paper ]
Spotlight
Tue Jul 20 07:25 PM -- 07:30 PM (PDT)
A Receptor Skeleton for Capsule Neural Networks
In AutoML and Neural Network Architectures 2
Jintai Chen · Hongyun Yu · Chengde Qian · Danny Z Chen · Jian Wu
[ Paper ]
Spotlight
Tue Jul 20 07:25 PM -- 07:30 PM (PDT)
GraphNorm: A Principled Approach to Accelerating Graph Neural Network Training
In Deep Learning Algorithms 8
Tianle Cai · Shengjie Luo · Keyulu Xu · Di He · Tie-Yan Liu · Liwei Wang
[ Paper ]
Spotlight
Tue Jul 20 07:25 PM -- 07:30 PM (PDT)
Policy Information Capacity: Information-Theoretic Measure for Task Complexity in Deep Reinforcement Learning
In Reinforcement Learning 8
Hiroki Furuta · Tatsuya Matsushima · Tadashi Kozuno · Yutaka Matsuo · Sergey Levine · Ofir Nachum · Shixiang Gu
[ Paper ]
Spotlight
Tue Jul 20 07:25 PM -- 07:30 PM (PDT)
Optimal regret algorithm for Pseudo-1d Bandit Convex Optimization
In Optimization (Convex) 2
Aadirupa Saha · Nagarajan Natarajan · Praneeth Netrapalli · Prateek Jain
[ Paper ]
Spotlight
Tue Jul 20 07:25 PM -- 07:30 PM (PDT)
Accumulated Decoupled Learning with Gradient Staleness Mitigation for Convolutional Neural Networks
In Large Scale Optimization
Huiping Zhuang · Zhenyu Weng · Fulin Luo · Kar-Ann Toh · Haizhou Li · Zhiping Lin
[ Paper ]
Spotlight
Tue Jul 20 07:25 PM -- 07:30 PM (PDT)
Monotonic Robust Policy Optimization with Model Discrepancy
In Reinforcement Learning 9
yuankun jiang · Chenglin Li · Wenrui Dai · Junni Zou · Hongkai Xiong
[ Paper ]
Spotlight
Tue Jul 20 07:25 PM -- 07:30 PM (PDT)
On Explainability of Graph Neural Networks via Subgraph Explorations
In Deep Learning Algorithms 7
Hao Yuan · Haiyang Yu · Jie Wang · Kang Li · Shuiwang Ji
[ Paper ]
Spotlight
Tue Jul 20 07:30 PM -- 07:35 PM (PDT)
A Bit More Bayesian: Domain-Invariant Learning with Uncertainty
In Deep Learning Algorithms 8
Zehao Xiao · Jiayi Shen · Xiantong Zhen · Ling Shao · Cees Snoek
[ Paper ]
Spotlight
Tue Jul 20 07:30 PM -- 07:35 PM (PDT)
DouZero: Mastering DouDizhu with Self-Play Deep Reinforcement Learning
In Deep Reinforcement Learning 3
Daochen Zha · Jingru Xie · Wenye Ma · Sheng Zhang · Xiangru Lian · Xia Hu · Ji Liu
[ Paper ]
Spotlight
Tue Jul 20 07:30 PM -- 07:35 PM (PDT)
Taylor Expansion of Discount Factors
In Reinforcement Learning 9
Yunhao Tang · Mark Rowland · Remi Munos · Michal Valko
[ Paper ]
Spotlight
Tue Jul 20 07:30 PM -- 07:35 PM (PDT)
Fast Stochastic Bregman Gradient Methods: Sharp Analysis and Variance Reduction
In Optimization (Convex) 2
Radu Alexandru Dragomir · Mathieu Even · Hadrien Hendrikx
[ Paper ]
Spotlight
Tue Jul 20 07:30 PM -- 07:35 PM (PDT)
Variational (Gradient) Estimate of the Score Function in Energy-based Latent Variable Models
In Optimization 4
Fan Bao · Kun Xu · Chongxuan Li · Lanqing Hong · Jun Zhu · Bo Zhang
[ Paper ]
Spotlight
Tue Jul 20 07:30 PM -- 07:35 PM (PDT)
Variational Empowerment as Representation Learning for Goal-Conditioned Reinforcement Learning
In Reinforcement Learning 8
Jongwook Choi · Archit Sharma · Honglak Lee · Sergey Levine · Shixiang Gu
[ Paper ]
Spotlight
Tue Jul 20 07:30 PM -- 07:35 PM (PDT)
Explore Visual Concept Formation for Image Classification
In AutoML and Neural Network Architectures 2
Shengzhou Xiong · Yihua Tan · Guoyou Wang
[ Paper ]
Spotlight
Tue Jul 20 07:30 PM -- 07:35 PM (PDT)
Training Graph Neural Networks with 1000 Layers
In Large Scale Optimization
Guohao Li · Matthias Müller · Bernard Ghanem · Vladlen Koltun
[ Paper ]
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
In Deep Learning Algorithms 7
Avi Schwarzschild · Micah Goldblum · Arjun Gupta · John P Dickerson · Tom Goldstein
[ Paper ]
Spotlight
Tue Jul 20 07:35 PM -- 07:40 PM (PDT)
Data Augmentation for Meta-Learning
In Deep Learning Algorithms 7
Renkun Ni · Micah Goldblum · Amr Sharaf · Kezhi Kong · Tom Goldstein
[ Paper ]
Spotlight
Tue Jul 20 07:35 PM -- 07:40 PM (PDT)
K-shot NAS: Learnable Weight-Sharing for NAS with K-shot Supernets
In AutoML and Neural Network Architectures 2
Xiu Su · Shan You · Mingkai Zheng · Fei Wang · Chen Qian · Changshui Zhang · Chang Xu
[ Paper ]
Spotlight
Tue Jul 20 07:35 PM -- 07:40 PM (PDT)
Neural Rough Differential Equations for Long Time Series
In Deep Learning Algorithms 8
James Morrill · Cristopher Salvi · Patrick Kidger · James Foster
[ Paper ]
Spotlight
Tue Jul 20 07:35 PM -- 07:40 PM (PDT)
MURAL: Meta-Learning Uncertainty-Aware Rewards for Outcome-Driven Reinforcement Learning
In Deep Reinforcement Learning 3
Kevin Li · Abhishek Gupta · Ashwin D Reddy · Vitchyr Pong · Aurick Zhou · Justin Yu · Sergey Levine
[ Paper ]
Spotlight
Tue Jul 20 07:35 PM -- 07:40 PM (PDT)
Is Pessimism Provably Efficient for Offline RL?
In Reinforcement Learning 8
Ying Jin · Zhuoran Yang · Zhaoran Wang
[ Paper ]
Spotlight
Tue Jul 20 07:35 PM -- 07:40 PM (PDT)
Moreau-Yosida $f$-divergences
In Optimization (Convex) 2
Dávid Terjék
[ Paper ]
Spotlight
Tue Jul 20 07:35 PM -- 07:40 PM (PDT)
1-bit Adam: Communication Efficient Large-Scale Training with Adam's Convergence Speed
In Large Scale Optimization
Hanlin Tang · Shaoduo Gan · Ammar Ahmad Awan · Samyam Rajbhandari · Conglong Li · Xiangru Lian · Ji Liu · Ce Zhang · Yuxiong He
[ Paper ]
Spotlight
Tue Jul 20 07:35 PM -- 07:40 PM (PDT)
Generalizable Episodic Memory for Deep Reinforcement Learning
In Reinforcement Learning 9
Hao Hu · Jianing Ye · Guangxiang Zhu · Zhizhou Ren · Chongjie Zhang
[ Paper ]
Spotlight
Tue Jul 20 07:35 PM -- 07:40 PM (PDT)
Compositional Video Synthesis with Action Graphs
In Optimization 4
Amir Bar · Roi Herzig · Xiaolong Wang · Anna Rohrbach · Gal Chechik · Trevor Darrell · Amir Globerson
[ Paper ]
Spotlight
Tue Jul 20 07:40 PM -- 07:45 PM (PDT)
Affine Invariant Analysis of Frank-Wolfe on Strongly Convex Sets
In Optimization (Convex) 2
Thomas Kerdreux · Lewis Liu · Simon Lacoste-Julien · Damien Scieur
[ Paper ]
Spotlight
Tue Jul 20 07:40 PM -- 07:45 PM (PDT)
Representation Matters: Offline Pretraining for Sequential Decision Making
In Reinforcement Learning 9
Mengjiao Yang · Ofir Nachum
[ Paper ]
Spotlight
Tue Jul 20 07:40 PM -- 07:45 PM (PDT)
High-Performance Large-Scale Image Recognition Without Normalization
In AutoML and Neural Network Architectures 2
Andy Brock · Soham De · Samuel Smith · Karen Simonyan
[ Paper ]
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
In Deep Learning Algorithms 8
Neha Wadia · Daniel Duckworth · Samuel Schoenholz · Ethan Dyer · Jascha Sohl-Dickstein
[ Paper ]
Spotlight
Tue Jul 20 07:40 PM -- 07:45 PM (PDT)
Neural Pharmacodynamic State Space Modeling
In Optimization 4
Zeshan Hussain · Rahul G. Krishnan · David Sontag
[ Paper ]
Spotlight
Tue Jul 20 07:40 PM -- 07:45 PM (PDT)
Understanding Invariance via Feedforward Inversion of Discriminatively Trained Classifiers
In Deep Learning Algorithms 7
Piotr Teterwak · Chiyuan Zhang · Dilip Krishnan · Michael Mozer
[ Paper ]
Spotlight
Tue Jul 20 07:40 PM -- 07:45 PM (PDT)
Federated Deep AUC Maximization for Hetergeneous Data with a Constant Communication Complexity
In Large Scale Optimization
Zhuoning Yuan · Zhishuai Guo · Yi Xu · Yiming Ying · Tianbao Yang
[ Paper ]
Spotlight
Tue Jul 20 07:40 PM -- 07:45 PM (PDT)
Beyond Variance Reduction: Understanding the True Impact of Baselines on Policy Optimization
In Reinforcement Learning 8
Wesley Chung · Valentin Thomas · Marlos C. Machado · Nicolas Le Roux
[ Paper ]
Spotlight
Tue Jul 20 07:40 PM -- 07:45 PM (PDT)
RRL: Resnet as representation for Reinforcement Learning
In Deep Reinforcement Learning 3
Rutav Shah · Vikash Kumar
[ Paper ]
Spotlight
Tue Jul 20 07:45 PM -- 07:50 PM (PDT)
Three Operator Splitting with a Nonconvex Loss Function
In Optimization 4
Alp Yurtsever · Varun Mangalick · Suvrit Sra
[ Paper ]
Spotlight
Tue Jul 20 07:45 PM -- 07:50 PM (PDT)
Data augmentation for deep learning based accelerated MRI reconstruction with limited data
In Deep Learning Algorithms 8
Zalan Fabian · Reinhard Heckel · Mahdi Soltanolkotabi
[ Paper ]
Spotlight
Tue Jul 20 07:45 PM -- 07:50 PM (PDT)
SCC: an efficient deep reinforcement learning agent mastering the game of StarCraft II
In Deep Reinforcement Learning 3
Xiangjun Wang · Junxiao SONG · Penghui Qi · Peng Peng · Zhenkun Tang · Wei Zhang · Weimin Li · Xiongjun Pi · Jujie He · Chao Gao · Haitao Long · Quan Yuan
[ Paper ]
Spotlight
Tue Jul 20 07:45 PM -- 07:50 PM (PDT)
Density Constrained Reinforcement Learning
In Reinforcement Learning 8
Zengyi Qin · Yuxiao Chen · Chuchu Fan
[ Paper ]
Spotlight
Tue Jul 20 07:45 PM -- 07:50 PM (PDT)
Neural Symbolic Regression that scales
In Deep Learning Algorithms 7
Luca Biggio · Tommaso Bendinelli · Alexander Neitz · Aurelien Lucchi · Giambattista Parascandolo
[ Paper ]
Spotlight
Tue Jul 20 07:45 PM -- 07:50 PM (PDT)
On a Combination of Alternating Minimization and Nesterov's Momentum
In Optimization (Convex) 2
Sergey Guminov · Pavel Dvurechenskii · Nazarii Tupitsa · Alexander Gasnikov
[ Paper ]
Spotlight
Tue Jul 20 07:45 PM -- 07:50 PM (PDT)
Lipschitz normalization for self-attention layers with application to graph neural networks
In AutoML and Neural Network Architectures 2
George Dasoulas · Kevin Scaman · Aladin Virmaux
[ Paper ]
Spotlight
Tue Jul 20 07:45 PM -- 07:50 PM (PDT)
Ditto: Fair and Robust Federated Learning Through Personalization
In Large Scale Optimization
Tian Li · Shengyuan Hu · Ahmad Beirami · Virginia Smith
[ Paper ]
Spotlight
Tue Jul 20 07:45 PM -- 07:50 PM (PDT)
Reinforcement Learning Under Moral Uncertainty
In Reinforcement Learning 9
Adrien Ecoffet · Joel Lehman
[ Paper ]
Q&A
Tue Jul 20 07:50 PM -- 07:55 PM (PDT)
Q&A
In Optimization (Convex) 2
Q&A
Tue Jul 20 07:50 PM -- 07:55 PM (PDT)
Q&A
In Deep Learning Algorithms 7
Q&A
Tue Jul 20 07:50 PM -- 07:55 PM (PDT)
Q&A
In Reinforcement Learning 9
Q&A
Tue Jul 20 07:50 PM -- 07:55 PM (PDT)
Q&A
In Optimization 4
Q&A
Tue Jul 20 07:50 PM -- 07:55 PM (PDT)
Q&A
In AutoML and Neural Network Architectures 2
Q&A
Tue Jul 20 07:50 PM -- 07:55 PM (PDT)
Q&A
In Reinforcement Learning 8
Q&A
Tue Jul 20 07:50 PM -- 07:55 PM (PDT)
Q&A
In Large Scale Optimization
Q&A
Tue Jul 20 07:50 PM -- 07:55 PM (PDT)
Q&A
In Deep Learning Algorithms 8
Q&A
Tue Jul 20 07:50 PM -- 07:55 PM (PDT)
Q&A
In Deep Reinforcement Learning 3
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
Fast Stochastic Bregman Gradient Methods: Sharp Analysis and Variance Reduction
In Poster Session 2
Radu Alexandru Dragomir · Mathieu Even · Hadrien Hendrikx
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
On Estimation in Latent Variable Models
In Poster Session 2
Guanhua Fang · Ping Li
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Actionable Models: Unsupervised Offline Reinforcement Learning of Robotic Skills
In Poster Session 2
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)
Oblivious Sketching-based Central Path Method for Linear Programming
In Poster Session 2
Zhao Song · Zheng Yu
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
In Poster Session 2
Ilan Price · Jared Tanner
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
In Poster Session 2
Xingchen Wan · Vu Nguyen · Huong Ha · Binxin Ru · Cong Lu · Michael A Osborne
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Variational (Gradient) Estimate of the Score Function in Energy-based Latent Variable Models
In Poster Session 2
Fan Bao · Kun Xu · Chongxuan Li · Lanqing Hong · Jun Zhu · Bo Zhang
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
K-shot NAS: Learnable Weight-Sharing for NAS with K-shot Supernets
In Poster Session 2
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) @ Virtual
Re-understanding Finite-State Representations of Recurrent Policy Networks
In Poster Session 2
Mohamad H Danesh · Anurag Koul · Alan Fern · Saeed Khorram
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Cooperative Exploration for Multi-Agent Deep Reinforcement Learning
In Poster Session 2
Iou-Jen Liu · Unnat Jain · Raymond Yeh · Alex Schwing
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Lottery Ticket Preserves Weight Correlation: Is It Desirable or Not?
In Poster Session 2
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)
The Power of Adaptivity for Stochastic Submodular Cover
In Poster Session 2
Rohan Ghuge · Anupam Gupta · viswanath nagarajan
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Affine Invariant Analysis of Frank-Wolfe on Strongly Convex Sets
In Poster Session 2
Thomas Kerdreux · Lewis Liu · Simon Lacoste-Julien · Damien Scieur
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Parallel and Flexible Sampling from Autoregressive Models via Langevin Dynamics
In Poster Session 2
Vivek Jayaram · John Thickstun
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
In Poster Session 2
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)
Randomized Entity-wise Factorization for Multi-Agent Reinforcement Learning
In Poster Session 2
Shariq Iqbal · Christian Schroeder · Bei Peng · Wendelin Boehmer · Shimon Whiteson · Fei Sha
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
A Tale of Two Efficient and Informative Negative Sampling Distributions
In Poster Session 2
Shabnam Daghaghi · Tharun Medini · Nicholas Meisburger · Beidi Chen · Mengnan Zhao · Anshumali Shrivastava
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
AlphaNet: Improved Training of Supernets with Alpha-Divergence
In Poster Session 2
Dilin Wang · Chengyue Gong · Meng Li · Qiang Liu · Vikas Chandra
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Differentiable Spatial Planning using Transformers
In Poster Session 2
Devendra Singh Chaplot · Deepak Pathak · Jitendra Malik
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Generalizable Episodic Memory for Deep Reinforcement Learning
In Poster Session 2
Hao Hu · Jianing Ye · Guangxiang Zhu · Zhizhou Ren · Chongjie Zhang
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Unbiased Gradient Estimation in Unrolled Computation Graphs with Persistent Evolution Strategies
In Poster Session 2
Paul Vicol · Luke Metz · Jascha Sohl-Dickstein
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
In Poster Session 2
TaeHo Yoon · Ernest Ryu
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Sequential Domain Adaptation by Synthesizing Distributionally Robust Experts
In Poster Session 2
Bahar Taskesen · Man-Chung Yue · Jose Blanchet · Daniel Kuhn · Viet Anh Nguyen
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Density Constrained Reinforcement Learning
In Poster Session 2
Zengyi Qin · Yuxiao Chen · Chuchu Fan
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Marginal Contribution Feature Importance - an Axiomatic Approach for Explaining Data
In Poster Session 2
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)
Catformer: Designing Stable Transformers via Sensitivity Analysis
In Poster Session 2
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)
High Confidence Generalization for Reinforcement Learning
In Poster Session 2
James Kostas · Yash Chandak · Scott Jordan · Georgios Theocharous · Philip Thomas
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Taylor Expansion of Discount Factors
In Poster Session 2
Yunhao Tang · Mark Rowland · Remi Munos · Michal Valko
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
In Poster Session 2
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)
A Unified Generative Adversarial Network Training via Self-Labeling and Self-Attention
In Poster Session 2
Tomoki Watanabe · Paolo Favaro
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Improving Breadth-Wise Backpropagation in Graph Neural Networks Helps Learning Long-Range Dependencies.
In Poster Session 2
Denis Lukovnikov · Asja Fischer
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Meta-StyleSpeech : Multi-Speaker Adaptive Text-to-Speech Generation
In Poster Session 2
Dongchan Min · Dong Bok Lee · Eunho Yang · Sung Ju Hwang
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Online Graph Dictionary Learning
In Poster Session 2
Cédric Vincent-Cuaz · Titouan Vayer · Rémi Flamary · Marco Corneli · Nicolas Courty
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Differentiable Sorting Networks for Scalable Sorting and Ranking Supervision
In Poster Session 2
Felix Petersen · Christian Borgelt · Hilde Kuehne · Oliver Deussen
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
CATE: Computation-aware Neural Architecture Encoding with Transformers
In Poster Session 2
Shen Yan · Kaiqiang Song · Fei Liu · Mi Zhang
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Data augmentation for deep learning based accelerated MRI reconstruction with limited data
In Poster Session 2
Zalan Fabian · Reinhard Heckel · Mahdi Soltanolkotabi
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
CombOptNet: Fit the Right NP-Hard Problem by Learning Integer Programming Constraints
In Poster Session 2
Anselm Paulus · Michal Rolinek · Vit Musil · Brandon Amos · Georg Martius
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
In Poster Session 2
Philip Ball · Cong Lu · Jack Parker-Holder · Stephen Roberts
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Reinforcement Learning Under Moral Uncertainty
In Poster Session 2
Adrien Ecoffet · Joel Lehman
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Safe Reinforcement Learning with Linear Function Approximation
In Poster Session 2
Sanae Amani Geshnigani · Christos Thrampoulidis · Lin Yang
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Beyond Variance Reduction: Understanding the True Impact of Baselines on Policy Optimization
In Poster Session 2
Wesley Chung · Valentin Thomas · Marlos C. Machado · Nicolas Le Roux
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Multi-Task Reinforcement Learning with Context-based Representations
In Poster Session 2
Shagun Sodhani · Amy Zhang · Joelle Pineau
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
In Poster Session 2
Angelos Filos · Clare Lyle · Yarin Gal · Sergey Levine · Natasha Jaques · Gregory Farquhar
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Just Train Twice: Improving Group Robustness without Training Group Information
In Poster Session 2
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
BASGD: Buffered Asynchronous SGD for Byzantine Learning
In Poster Session 2
Yi-Rui Yang · Wu-Jun Li
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
In Poster Session 2
Wei-Fang Sun · Cheng-Kuang Lee · Chun-Yi Lee
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Learning and Planning in Average-Reward Markov Decision Processes
In Poster Session 2
Yi Wan · Abhishek Naik · Richard Sutton
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
A Practical Method for Constructing Equivariant Multilayer Perceptrons for Arbitrary Matrix Groups
In Poster Session 2
Marc Finzi · Max Welling · Andrew Wilson
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
On Proximal Policy Optimization's Heavy-tailed Gradients
In Poster Session 2
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)
Stochastic Iterative Graph Matching
In Poster Session 2
Linfeng Liu · Michael Hughes · Soha Hassoun · Liping Liu
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Improved Contrastive Divergence Training of Energy-Based Models
In Poster Session 2
Yilun Du · Shuang Li · Josh Tenenbaum · Igor Mordatch
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
SECANT: Self-Expert Cloning for Zero-Shot Generalization of Visual Policies
In Poster Session 2
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)
Accumulated Decoupled Learning with Gradient Staleness Mitigation for Convolutional Neural Networks
In Poster Session 2
Huiping Zhuang · Zhenyu Weng · Fulin Luo · Kar-Ann Toh · Haizhou Li · Zhiping Lin
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Instance Specific Approximations for Submodular Maximization
In Poster Session 2
Eric Balkanski · Sharon Qian · Yaron Singer
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
The Earth Mover's Pinball Loss: Quantiles for Histogram-Valued Regression
In Poster Session 2
Florian List
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
EfficientNetV2: Smaller Models and Faster Training
In Poster Session 2
Mingxing Tan · Quoc Le
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Accelerate CNNs from Three Dimensions: A Comprehensive Pruning Framework
In Poster Session 2
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
Moreau-Yosida $f$-divergences
In Poster Session 2
Dávid Terjék
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Is Pessimism Provably Efficient for Offline RL?
In Poster Session 2
Ying Jin · Zhuoran Yang · Zhaoran Wang
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Learning Fair Policies in Decentralized Cooperative Multi-Agent Reinforcement Learning
In Poster Session 2
Matthieu Zimmer · Claire Glanois · Umer Siddique · Paul Weng
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Emergent Social Learning via Multi-agent Reinforcement Learning
In Poster Session 2
Kamal Ndousse · Douglas Eck · Sergey Levine · Natasha Jaques
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Accurate Post Training Quantization With Small Calibration Sets
In Poster Session 2
Itay Hubara · Yury Nahshan · Yair Hanani · Ron Banner · Daniel Soudry
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Signatured Deep Fictitious Play for Mean Field Games with Common Noise
In Poster Session 2
Ming Min · Ruimeng Hu
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Lipschitz normalization for self-attention layers with application to graph neural networks
In Poster Session 2
George Dasoulas · Kevin Scaman · Aladin Virmaux
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Data Augmentation for Meta-Learning
In Poster Session 2
Renkun Ni · Micah Goldblum · Amr Sharaf · Kezhi Kong · Tom Goldstein
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Keyframe-Focused Visual Imitation Learning
In Poster Session 2
Chuan Wen · Jierui Lin · Jianing Qian · Yang Gao · Dinesh Jayaraman
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Policy Information Capacity: Information-Theoretic Measure for Task Complexity in Deep Reinforcement Learning
In Poster Session 2
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)
A Deep Reinforcement Learning Approach to Marginalized Importance Sampling with the Successor Representation
In Poster Session 2
Scott Fujimoto · David Meger · Doina Precup
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Neural Rough Differential Equations for Long Time Series
In Poster Session 2
James Morrill · Cristopher Salvi · Patrick Kidger · James Foster
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
iDARTS: Differentiable Architecture Search with Stochastic Implicit Gradients
In Poster Session 2
Miao Zhang · Steven Su · Shirui Pan · Xiaojun Chang · Ehsan Abbasnejad · Reza Haffari
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
LARNet: Lie Algebra Residual Network for Face Recognition
In Poster Session 2
Xiaolong Yang · Xiaohong Jia · Dihong Gong · Dong-Ming Yan · Zhifeng Li · Wei Liu
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Concentric mixtures of Mallows models for top-$k$ rankings: sampling and identifiability
In Poster Session 2
Fabien Collas · Ekhine IRUROZKI
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Training Graph Neural Networks with 1000 Layers
In Poster Session 2
Guohao Li · Matthias Müller · Bernard Ghanem · Vladlen Koltun
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
The Emergence of Individuality
In Poster Session 2
Jiechuan Jiang · Zongqing Lu
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Deep Generative Learning via Schrödinger Bridge
In Poster Session 2
Gefei Wang · Yuling Jiao · Qian Xu · Yang Wang · Can Yang
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Discovering symbolic policies with deep reinforcement learning
In Poster Session 2
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
Equivariant message passing for the prediction of tensorial properties and molecular spectra
In Poster Session 2
Kristof T Schütt · Oliver Unke · Michael Gastegger
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
PEBBLE: Feedback-Efficient Interactive Reinforcement Learning via Relabeling Experience and Unsupervised Pre-training
In Poster Session 2
Kimin Lee · Laura Smith · Pieter Abbeel
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Federated Deep AUC Maximization for Hetergeneous Data with a Constant Communication Complexity
In Poster Session 2
Zhuoning Yuan · Zhishuai Guo · Yi Xu · Yiming Ying · Tianbao Yang
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
In Poster Session 2
Minhui Huang · Shiqian Ma · Lifeng Lai
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Structured Convolutional Kernel Networks for Airline Crew Scheduling
In Poster Session 2
Yassine Yaakoubi · Francois Soumis · Simon Lacoste-Julien
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Ditto: Fair and Robust Federated Learning Through Personalization
In Poster Session 2
Tian Li · Shengyuan Hu · Ahmad Beirami · Virginia Smith
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Learning to Weight Imperfect Demonstrations
In Poster Session 2
Yunke Wang · Chang Xu · Bo Du · Honglak Lee
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Inverse Decision Modeling: Learning Interpretable Representations of Behavior
In Poster Session 2
Daniel Jarrett · Alihan Hüyük · Mihaela van der Schaar
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Training Quantized Neural Networks to Global Optimality via Semidefinite Programming
In Poster Session 2
Burak Bartan · Mert Pilanci
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Bayesian Optimization over Hybrid Spaces
In Poster Session 2
Aryan Deshwal · Syrine Belakaria · Jana Doppa
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
A Receptor Skeleton for Capsule Neural Networks
In Poster Session 2
Jintai Chen · Hongyun Yu · Chengde Qian · Danny Z Chen · Jian Wu
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Learning While Playing in Mean-Field Games: Convergence and Optimality
In Poster Session 2
Qiaomin Xie · Zhuoran Yang · Zhaoran Wang · Andreea Minca
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
On Characterizing GAN Convergence Through Proximal Duality Gap
In Poster Session 2
Sahil Sidheekh · Aroof Aimen · Narayanan Chatapuram Krishnan
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Revisiting Peng's Q($\lambda$) for Modern Reinforcement Learning
In Poster Session 2
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)
Leveraging Language to Learn Program Abstractions and Search Heuristics
In Poster Session 2
Catherine Wong · Kevin Ellis · Josh Tenenbaum · Jacob Andreas
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
DouZero: Mastering DouDizhu with Self-Play Deep Reinforcement Learning
In Poster Session 2
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) @ Virtual
Generating images with sparse representations
In Poster Session 2
Charlie Nash · Jacob Menick · Sander Dieleman · Peter Battaglia
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
On the price of explainability for some clustering problems
In Poster Session 2
Eduardo Laber · Lucas Murtinho
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Soft then Hard: Rethinking the Quantization in Neural Image Compression
In Poster Session 2
Zongyu Guo · Zhizheng Zhang · Runsen Feng · Zhibo Chen
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
RRL: Resnet as representation for Reinforcement Learning
In Poster Session 2
Rutav Shah · Vikash Kumar
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
In Poster Session 2
Georgios Amanatidis · Federico Fusco · Philip Lazos · Stefano Leonardi · Alberto Marchetti-Spaccamela · Rebecca Reiffenhäuser
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Asynchronous Distributed Learning : Adapting to Gradient Delays without Prior Knowledge
In Poster Session 2
Rotem Zamir Aviv · Ido Hakimi · Assaf Schuster · Kfir Levy
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
FOP: Factorizing Optimal Joint Policy of Maximum-Entropy Multi-Agent Reinforcement Learning
In Poster Session 2
Tianhao Zhang · yueheng li · Chen Wang · Guangming Xie · Zongqing Lu
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Compositional Video Synthesis with Action Graphs
In Poster Session 2
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) @ Virtual
Shortest-Path Constrained Reinforcement Learning for Sparse Reward Tasks
In Poster Session 2
Sungryull Sohn · Sungtae Lee · Jongwook Choi · Harm van Seijen · Mehdi Fatemi · Honglak Lee
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Quantitative Understanding of VAE as a Non-linearly Scaled Isometric Embedding
In Poster Session 2
Akira Nakagawa · Keizo Kato · Taiji Suzuki
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Emphatic Algorithms for Deep Reinforcement Learning
In Poster Session 2
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) @ Virtual
Optimal regret algorithm for Pseudo-1d Bandit Convex Optimization
In Poster Session 2
Aadirupa Saha · Nagarajan Natarajan · Praneeth Netrapalli · Prateek Jain
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Temporally Correlated Task Scheduling for Sequence Learning
In Poster Session 2
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)
Scalable Normalizing Flows for Permutation Invariant Densities
In Poster Session 2
Marin Biloš · Stephan Günnemann
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
GMAC: A Distributional Perspective on Actor-Critic Framework
In Poster Session 2
Daniel Nam · Younghoon Kim · Chan Youn Park
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
In Poster Session 2
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)
Network Inference and Influence Maximization from Samples
In Poster Session 2
Wei Chen · Xiaoming Sun · Jialin Zhang · Zhijie Zhang
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
On Explainability of Graph Neural Networks via Subgraph Explorations
In Poster Session 2
Hao Yuan · Haiyang Yu · Jie Wang · Kang Li · Shuiwang Ji
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Optimal Transport Kernels for Sequential and Parallel Neural Architecture Search
In Poster Session 2
Vu Nguyen · Tam Le · Makoto Yamada · Michael A Osborne
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?
In Poster Session 2
Weijian Deng · Stephen Gould · Liang Zheng
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Uncertainty Weighted Actor-Critic for Offline Reinforcement Learning
In Poster Session 2
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)
What Makes for End-to-End Object Detection?
In Poster Session 2
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) @ Virtual
Regularized Submodular Maximization at Scale
In Poster Session 2
Ehsan Kazemi · shervin minaee · Moran Feldman · Amin Karbasi
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Heterogeneity for the Win: One-Shot Federated Clustering
In Poster Session 2
Don Kurian Dennis · Tian Li · Virginia Smith
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Characterizing Structural Regularities of Labeled Data in Overparameterized Models
In Poster Session 2
Ziheng Jiang · Chiyuan Zhang · Kunal Talwar · Michael Mozer
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Federated Composite Optimization
In Poster Session 2
Honglin Yuan · Manzil Zaheer · Sashank Jakkam Reddi
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Information Obfuscation of Graph Neural Networks
In Poster Session 2
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) @ Virtual
Variational Empowerment as Representation Learning for Goal-Conditioned Reinforcement Learning
In Poster Session 2
Jongwook Choi · Archit Sharma · Honglak Lee · Sergey Levine · Shixiang Gu
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Randomized Algorithms for Submodular Function Maximization with a $k$-System Constraint
In Poster Session 2
Shuang Cui · Kai Han · Tianshuai Zhu · Jing Tang · Benwei Wu · He Huang
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Light RUMs
In Poster Session 2
Flavio Chierichetti · Ravi Kumar · Andrew Tomkins
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
LAMDA: Label Matching Deep Domain Adaptation
In Poster Session 2
Trung Le · Tuan Nguyen · Nhat Ho · Hung Bui · Dinh Phung
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
AutoAttend: Automated Attention Representation Search
In Poster Session 2
Chaoyu Guan · Xin Wang · Wenwu Zhu
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Robust Asymmetric Learning in POMDPs
In Poster Session 2
Andrew Warrington · Jonathan Lavington · Adam Scibior · Mark Schmidt · Frank Wood
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
In Poster Session 2
Yonggan Fu · Yongan Zhang · Yang Zhang · David Cox · Yingyan Lin
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
On a Combination of Alternating Minimization and Nesterov's Momentum
In Poster Session 2
Sergey Guminov · Pavel Dvurechenskii · Nazarii Tupitsa · Alexander Gasnikov
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
OptiDICE: Offline Policy Optimization via Stationary Distribution Correction Estimation
In Poster Session 2
Jongmin Lee · Wonseok Jeon · Byung-Jun Lee · Joelle Pineau · Kee-Eung Kim
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
A Wasserstein Minimax Framework for Mixed Linear Regression
In Poster Session 2
Theo Diamandis · Yonina Eldar · Alireza Fallah · Farzan Farnia · Asuman Ozdaglar
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Partially Observed Exchangeable Modeling
In Poster Session 2
Yang Li · Junier Oliva
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Causal Curiosity: RL Agents Discovering Self-supervised Experiments for Causal Representation Learning
In Poster Session 2
Sumedh Sontakke · Arash Mehrjou · Laurent Itti · Bernhard Schölkopf
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
A Bit More Bayesian: Domain-Invariant Learning with Uncertainty
In Poster Session 2
Zehao Xiao · Jiayi Shen · Xiantong Zhen · Ling Shao · Cees Snoek
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Connecting Interpretability and Robustness in Decision Trees through Separation
In Poster Session 2
Michal Moshkovitz · Yao-Yuan Yang · Kamalika Chaudhuri
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Convex Regularization in Monte-Carlo Tree Search
In Poster Session 2
Tuan Q Dam · Carlo D'Eramo · Jan Peters · Joni Pajarinen
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Communication-Efficient Distributed Optimization with Quantized Preconditioners
In Poster Session 2
Foivos Alimisis · Peter Davies · Dan Alistarh
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Representation Matters: Offline Pretraining for Sequential Decision Making
In Poster Session 2
Mengjiao Yang · Ofir Nachum
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
In Poster Session 2
Keyulu Xu · Mozhi Zhang · Stefanie Jegelka · Kenji Kawaguchi
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Householder Sketch for Accurate and Accelerated Least-Mean-Squares Solvers
In Poster Session 2
Jyotikrishna Dass · Rabi Mahapatra
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Rethinking Neural vs. Matrix-Factorization Collaborative Filtering: the Theoretical Perspectives
In Poster Session 2
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
In Poster Session 2
Xiang Li · Shusen Wang · Kun Chen · Zhihua Zhang
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Locally Persistent Exploration in Continuous Control Tasks with Sparse Rewards
In Poster Session 2
Susan Amin · Maziar Gomrokchi · Hossein Aboutalebi · Harsh Satija · Doina Precup
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Goal-Conditioned Reinforcement Learning with Imagined Subgoals
In Poster Session 2
Elliot Chane-Sane · Cordelia Schmid · Ivan Laptev
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Recomposing the Reinforcement Learning Building Blocks with Hypernetworks
In Poster Session 2
Elad Sarafian · Shai Keynan · Sarit Kraus
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Joining datasets via data augmentation in the label space for neural networks
In Poster Session 2
Junbo Zhao · Mingfeng Ou · linji Xue · Yunkai Cui · Sai Wu · Gang Chen
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Offline Reinforcement Learning with Fisher Divergence Critic Regularization
In Poster Session 2
Ilya Kostrikov · Rob Fergus · Jonathan Tompson · Ofir Nachum
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Rethinking Rotated Object Detection with Gaussian Wasserstein Distance Loss
In Poster Session 2
Xue Yang · Junchi Yan · Qi Ming · Wentao Wang · xiaopeng zhang · Qi Tian
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
High-Performance Large-Scale Image Recognition Without Normalization
In Poster Session 2
Andy Brock · Soham De · Samuel Smith · Karen Simonyan
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Low-Precision Reinforcement Learning: Running Soft Actor-Critic in Half Precision
In Poster Session 2
Johan Björck · Xiangyu Chen · Christopher De Sa · Carla Gomes · Kilian Weinberger
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Poolingformer: Long Document Modeling with Pooling Attention
In Poster Session 2
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)
Explore Visual Concept Formation for Image Classification
In Poster Session 2
Shengzhou Xiong · Yihua Tan · Guoyou Wang
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
On-Policy Deep Reinforcement Learning for the Average-Reward Criterion
In Poster Session 2
Yiming Zhang · Keith Ross
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
GraphNorm: A Principled Approach to Accelerating Graph Neural Network Training
In Poster Session 2
Tianle Cai · Shengjie Luo · Keyulu Xu · Di He · Tie-Yan Liu · Liwei Wang
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
On the Predictability of Pruning Across Scales
In Poster Session 2
Jonathan Rosenfeld · Jonathan Frankle · Michael Carbin · Nir Shavit
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
In Poster Session 2
Avi Schwarzschild · Micah Goldblum · Arjun Gupta · John P Dickerson · Tom Goldstein
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Trajectory Diversity for Zero-Shot Coordination
In Poster Session 2
Andrei Lupu · Brandon Cui · Hengyuan Hu · Jakob Foerster
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
In Poster Session 2
Neha Wadia · Daniel Duckworth · Samuel Schoenholz · Ethan Dyer · Jascha Sohl-Dickstein
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Stabilizing Equilibrium Models by Jacobian Regularization
In Poster Session 2
Shaojie Bai · Vladlen Koltun · Zico Kolter
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
The Heavy-Tail Phenomenon in SGD
In Poster Session 2
Mert Gurbuzbalaban · Umut Simsekli · Lingjiong Zhu
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Policy Gradient Bayesian Robust Optimization for Imitation Learning
In Poster Session 2
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)
SCC: an efficient deep reinforcement learning agent mastering the game of StarCraft II
In Poster Session 2
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)
An Identifiable Double VAE For Disentangled Representations
In Poster Session 2
Graziano Mita · Maurizio Filippone · Pietro Michiardi
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Monotonic Robust Policy Optimization with Model Discrepancy
In Poster Session 2
yuankun jiang · Chenglin Li · Wenrui Dai · Junni Zou · Hongkai Xiong
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Three Operator Splitting with a Nonconvex Loss Function
In Poster Session 2
Alp Yurtsever · Varun Mangalick · Suvrit Sra
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
Prioritized Level Replay
In Poster Session 2
Minqi Jiang · Edward Grefenstette · Tim Rocktäschel
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Out-of-Distribution Generalization via Risk Extrapolation (REx)
In Poster Session 2
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)
Reinforcement Learning of Implicit and Explicit Control Flow Instructions
In Poster Session 2
Ethan Brooks · Janarthanan Rajendran · Richard Lewis · Satinder Singh
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Few-Shot Neural Architecture Search
In Poster Session 2
Yiyang Zhao · Linnan Wang · Yuandong Tian · Rodrigo Fonseca · Tian Guo
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
LIME: Learning Inductive Bias for Primitives of Mathematical Reasoning
In Poster Session 2
Yuhuai Wu · Markus Rabe · Wenda Li · Jimmy Ba · Roger Grosse · Christian Szegedy
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Quantization Algorithms for Random Fourier Features
In Poster Session 2
Xiaoyun Li · Ping Li
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT) @ Virtual
MURAL: Meta-Learning Uncertainty-Aware Rewards for Outcome-Driven Reinforcement Learning
In Poster Session 2
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
ActNN: Reducing Training Memory Footprint via 2-Bit Activation Compressed Training
In Poster Session 2
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)
Towards Better Laplacian Representation in Reinforcement Learning with Generalized Graph Drawing
In Poster Session 2
Kaixin Wang · Kuangqi Zhou · Qixin Zhang · Jie Shao · Bryan Hooi · Jiashi Feng
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
TeraPipe: Token-Level Pipeline Parallelism for Training Large-Scale Language Models
In Poster Session 2
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)
Zero-Shot Text-to-Image Generation
In Poster Session 2
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)
Understanding Failures in Out-of-Distribution Detection with Deep Generative Models
In Poster Session 2
Lily Zhang · Mark Goldstein · Rajesh Ranganath
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Weight-covariance alignment for adversarially robust neural networks
In Poster Session 2
Panagiotis Eustratiadis · Henry Gouk · Da Li · Timothy Hospedales
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Learning Neural Network Subspaces
In Poster Session 2
Mitchell Wortsman · Maxwell Horton · Carlos Guestrin · Ali Farhadi · Mohammad Rastegari
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Cross-Gradient Aggregation for Decentralized Learning from Non-IID Data
In Poster Session 2
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) @ Virtual
Towards Domain-Agnostic Contrastive Learning
In Poster Session 2
Vikas Verma · Thang Luong · Kenji Kawaguchi · Hieu Pham · Quoc Le
Poster
Tue Jul 20 09:00 PM -- 11:00 PM (PDT)
Hyperparameter Selection for Imitation Learning
In Poster Session 2
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)
Probabilistic Sequential Shrinking: A Best Arm Identification Algorithm for Stochastic Bandits with Corruptions
In Poster Session 2
Zixin Zhong · Wang Chi Cheung · Vincent Tan
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)
Near Optimal Reward-Free Reinforcement Learning
In Learning Theory 1
Zhang Zihan · Simon Du · Xiangyang Ji
[ Paper ]
Oral
Wed Jul 21 05:00 AM -- 05:20 AM (PDT)
Optimizing persistent homology based functions
In Optimization (Nonconvex)
Mathieu Carrière · Frederic Chazal · Marc Glisse · Yuichi Ike · Hariprasad Kannan · Yuhei Umeda
[ Paper ]
Oral
Wed Jul 21 05:00 AM -- 05:20 AM (PDT)
Robust Density Estimation from Batches: The Best Things in Life are (Nearly) Free
In Learning Theory 2
Ayush Jain · Alon Orlitsky
[ Paper ]
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
In Supervised Learning 1
Zhiyong Yang · Qianqian Xu · Shilong Bao · Yuan He · Xiaochun Cao · Qingming Huang
[ Paper ]
Oral
Wed Jul 21 05:00 AM -- 05:20 AM (PDT)
The Limits of Min-Max Optimization Algorithms: Convergence to Spurious Non-Critical Sets
In Learning Theory 3
Ya-Ping Hsieh · Panayotis Mertikopoulos · Volkan Cevher
[ Paper ]
Oral
Wed Jul 21 05:00 AM -- 05:20 AM (PDT)
Cross-domain Imitation from Observations
In Reinforcement Learning 10
Dripta S. Raychaudhuri · Sujoy Paul · Jeroen Vanbaar · Amit Roy-Chowdhury
[ Paper ]
Oral
Wed Jul 21 05:00 AM -- 05:20 AM (PDT)
APS: Active Pretraining with Successor Features
In Reinforcement Learning 11
Hao Liu · Pieter Abbeel
[ Paper ]
Oral
Wed Jul 21 05:00 AM -- 05:20 AM (PDT)
Improving Lossless Compression Rates via Monte Carlo Bits-Back Coding
In Probabilistic Methods 1
Yangjun Ruan · Karen Ullrich · Daniel Severo · James Townsend · Ashish Khisti · Arnaud Doucet · Alireza Makhzani · Chris Maddison
[ Paper ]
Oral
Wed Jul 21 05:00 AM -- 05:20 AM (PDT)
On Energy-Based Models with Overparametrized Shallow Neural Networks
In Deep Learning Theory 2
Carles Domingo-Enrich · Alberto Bietti · Eric Vanden-Eijnden · Joan Bruna
[ Paper ]
Spotlight
Wed Jul 21 05:20 AM -- 05:25 AM (PDT)
Batch Value-function Approximation with Only Realizability
In Learning Theory 1
Tengyang Xie · Nan Jiang
[ Paper ]
Spotlight
Wed Jul 21 05:20 AM -- 05:25 AM (PDT)
SiameseXML: Siamese Networks meet Extreme Classifiers with 100M Labels
In Supervised Learning 1
Kunal Dahiya · Ananye Agarwal · Deepak Saini · Gururaj K · Jian Jiao · Amit Singh · Sumeet Agarwal · Purushottam Kar · Manik Varma
[ Paper ]
Spotlight
Wed Jul 21 05:20 AM -- 05:25 AM (PDT)
Sawtooth Factorial Topic Embeddings Guided Gamma Belief Network
In Probabilistic Methods 1
Zhibin Duan · Dongsheng Wang · Bo Chen · CHAOJIE WANG · Wenchao Chen · yewen li · Jie Ren · Mingyuan Zhou
[ Paper ]
Spotlight
Wed Jul 21 05:20 AM -- 05:25 AM (PDT)
Debiasing a First-order Heuristic for Approximate Bi-level Optimization
In Optimization (Nonconvex)
Valerii Likhosherstov · Xingyou Song · Krzysztof Choromanski · Jared Quincy Davis · Adrian Weller
[ Paper ]
Spotlight
Wed Jul 21 05:20 AM -- 05:25 AM (PDT)
Generalization Bounds in the Presence of Outliers: a Median-of-Means Study
In Learning Theory 2
Pierre Laforgue · Guillaume Staerman · Stephan Clémençon
[ Paper ]
Spotlight
Wed Jul 21 05:20 AM -- 05:25 AM (PDT)
Uncertainty Principles of Encoding GANs
In Deep Learning Theory 2
Ruili Feng · Zhouchen Lin · Jiapeng Zhu · Deli Zhao · Jingren Zhou · Zheng-Jun Zha
[ Paper ]
Spotlight
Wed Jul 21 05:20 AM -- 05:25 AM (PDT)
Theory of Spectral Method for Union of Subspaces-Based Random Geometry Graph
In Learning Theory 3
Gen Li · Yuantao Gu
[ Paper ]
Spotlight
Wed Jul 21 05:20 AM -- 05:25 AM (PDT)
SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning
In Reinforcement Learning 10
Kimin Lee · Michael Laskin · Aravind Srinivas · Pieter Abbeel
[ Paper ]
Spotlight
Wed Jul 21 05:20 AM -- 05:25 AM (PDT)
Guided Exploration with Proximal Policy Optimization using a Single Demonstration
In Reinforcement Learning 11
Gabriele Libardi · Gianni De Fabritiis · Sebastian Dittert
[ Paper ]
Spotlight
Wed Jul 21 05:25 AM -- 05:30 AM (PDT)
Approximating a Distribution Using Weight Queries
In Learning Theory 3
Nadav Barak · Sivan Sabato
[ Paper ]
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
In Deep Learning Theory 2
Quynh Nguyen
[ Paper ]
Spotlight
Wed Jul 21 05:25 AM -- 05:30 AM (PDT)
Adversarial Combinatorial Bandits with General Non-linear Reward Functions
In Learning Theory 1
Yanjun Han · Yining Wang · Xi Chen
[ Paper ]
Spotlight
Wed Jul 21 05:25 AM -- 05:30 AM (PDT)
Decoupling Exploration and Exploitation for Meta-Reinforcement Learning without Sacrifices
In Reinforcement Learning 10
Evan Liu · Aditi Raghunathan · Percy Liang · Chelsea Finn
[ Paper ]
Spotlight
Wed Jul 21 05:25 AM -- 05:30 AM (PDT)
Self-Paced Context Evaluation for Contextual Reinforcement Learning
In Reinforcement Learning 11
Theresa Eimer · André Biedenkapp · Frank Hutter · Marius Lindauer
[ Paper ]
Spotlight
Wed Jul 21 05:25 AM -- 05:30 AM (PDT)
Kernel Continual Learning
In Probabilistic Methods 1
Mohammad Mahdi Derakhshani · Xiantong Zhen · Ling Shao · Cees Snoek
[ Paper ]
Spotlight
Wed Jul 21 05:25 AM -- 05:30 AM (PDT)
Meta Learning for Support Recovery in High-dimensional Precision Matrix Estimation
In Learning Theory 2
Qian Zhang · Yilin Zheng · Jean Honorio
[ Paper ]
Spotlight
Wed Jul 21 05:25 AM -- 05:30 AM (PDT)
Disentangling Sampling and Labeling Bias for Learning in Large-output Spaces
In Supervised Learning 1
Ankit Singh Rawat · Aditya Menon · Wittawat Jitkrittum · Sadeep Jayasumana · Felix Xinnan Yu · Sashank Jakkam Reddi · Sanjiv Kumar
[ Paper ]
Spotlight
Wed Jul 21 05:25 AM -- 05:30 AM (PDT)
SMG: A Shuffling Gradient-Based Method with Momentum
In Optimization (Nonconvex)
Trang Tran · Lam Nguyen · Quoc Tran-Dinh
[ Paper ]
Spotlight
Wed Jul 21 05:30 AM -- 05:35 AM (PDT)
Model-Free and Model-Based Policy Evaluation when Causality is Uncertain
In Learning Theory 1
David Bruns-Smith
[ Paper ]
Spotlight
Wed Jul 21 05:30 AM -- 05:35 AM (PDT)
Active Feature Acquisition with Generative Surrogate Models
In Reinforcement Learning 10
Yang Li · Junier Oliva
[ Paper ]
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
In Deep Learning Theory 2
Quynh Nguyen · Marco Mondelli · Guido Montufar
[ Paper ]
Spotlight
Wed Jul 21 05:30 AM -- 05:35 AM (PDT)
Robust Inference for High-Dimensional Linear Models via Residual Randomization
In Learning Theory 2
Y. Samuel Wang · Si Kai Lee · Panos Toulis · Mladen Kolar
[ Paper ]
Spotlight
Wed Jul 21 05:30 AM -- 05:35 AM (PDT)
XOR-CD: Linearly Convergent Constrained Structure Generation
In Probabilistic Methods 1
Fan Ding · Jianzhu Ma · Jinbo Xu · Yexiang Xue
[ Paper ]
Spotlight
Wed Jul 21 05:30 AM -- 05:35 AM (PDT)
Estimating $\alpha$-Rank from A Few Entries with Low Rank Matrix Completion
In Learning Theory 3
Yali Du · Xue Yan · Xu Chen · Jun Wang · Haifeng Zhang
[ Paper ]
Spotlight
Wed Jul 21 05:30 AM -- 05:35 AM (PDT)
Regret Minimization in Stochastic Non-Convex Learning via a Proximal-Gradient Approach
In Optimization (Nonconvex)
Nadav Hallak · Panayotis Mertikopoulos · Volkan Cevher
[ Paper ]
Spotlight
Wed Jul 21 05:30 AM -- 05:35 AM (PDT)
Learning Randomly Perturbed Structured Predictors for Direct Loss Minimization
In Supervised Learning 1
Hedda Cohen Indelman · Tamir Hazan
[ Paper ]
Spotlight
Wed Jul 21 05:30 AM -- 05:35 AM (PDT)
Unsupervised Skill Discovery with Bottleneck Option Learning
In Reinforcement Learning 11
Jaekyeom Kim · Seohong Park · Gunhee Kim
[ Paper ]
Spotlight
Wed Jul 21 05:35 AM -- 05:40 AM (PDT)
Revenue-Incentive Tradeoffs in Dynamic Reserve Pricing
In Learning Theory 3
Yuan Deng · Sébastien Lahaie · Vahab Mirrokni · Song Zuo
[ Paper ]
Spotlight
Wed Jul 21 05:35 AM -- 05:40 AM (PDT)
Bootstrapping Fitted Q-Evaluation for Off-Policy Inference
In Learning Theory 1
Botao Hao · Xiang Ji · Yaqi Duan · Hao Lu · Csaba Szepesvari · Mengdi Wang
[ Paper ]
Spotlight
Wed Jul 21 05:35 AM -- 05:40 AM (PDT)
Functional Space Analysis of Local GAN Convergence
In Deep Learning Theory 2
Valentin Khrulkov · Artem Babenko · Ivan Oseledets
[ Paper ]
Spotlight
Wed Jul 21 05:35 AM -- 05:40 AM (PDT)
Improving Molecular Graph Neural Network Explainability with Orthonormalization and Induced Sparsity
In Supervised Learning 1
Ryan Henderson · Djork-Arné Clevert · Floriane Montanari
[ Paper ]
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
In Learning Theory 2
Yu Bai · Song Mei · Huan Wang · Caiming Xiong
[ Paper ]
Spotlight
Wed Jul 21 05:35 AM -- 05:40 AM (PDT)
TeachMyAgent: a Benchmark for Automatic Curriculum Learning in Deep RL
In Reinforcement Learning 11
Clément Romac · Rémy Portelas · Katja Hofmann · Pierre-Yves Oudeyer
[ Paper ]
Spotlight
Wed Jul 21 05:35 AM -- 05:40 AM (PDT)
Characterizing the Gap Between Actor-Critic and Policy Gradient
In Reinforcement Learning 10
Junfeng Wen · Saurabh Kumar · Ramki Gummadi · Dale Schuurmans
[ Paper ]
Spotlight
Wed Jul 21 05:35 AM -- 05:40 AM (PDT)
ARMS: Antithetic-REINFORCE-Multi-Sample Gradient for Binary Variables
In Probabilistic Methods 1
Alek Dimitriev · Mingyuan Zhou
[ Paper ]
Spotlight
Wed Jul 21 05:35 AM -- 05:40 AM (PDT)
MARINA: Faster Non-Convex Distributed Learning with Compression
In Optimization (Nonconvex)
Eduard Gorbunov · Konstantin Burlachenko · Zhize Li · Peter Richtarik
[ Paper ]
Spotlight
Wed Jul 21 05:40 AM -- 05:45 AM (PDT)
Composing Normalizing Flows for Inverse Problems
In Probabilistic Methods 1
Jay Whang · Erik Lindgren · Alexandros Dimakis
[ Paper ]
Spotlight
Wed Jul 21 05:40 AM -- 05:45 AM (PDT)
Towards the Unification and Robustness of Perturbation and Gradient Based Explanations
In Learning Theory 3
Sushant Agarwal · Shahin Jabbari · Chirag Agarwal · Sohini Upadhyay · Steven Wu · Hima Lakkaraju
[ Paper ]
Spotlight
Wed Jul 21 05:40 AM -- 05:45 AM (PDT)
Generalization Guarantees for Neural Architecture Search with Train-Validation Split
In Learning Theory 2
Samet Oymak · Mingchen Li · Mahdi Soltanolkotabi
[ Paper ]
Spotlight
Wed Jul 21 05:40 AM -- 05:45 AM (PDT)
Spectral Normalisation for Deep Reinforcement Learning: An Optimisation Perspective
In Reinforcement Learning 10
Florin Gogianu · Tudor Berariu · Mihaela Rosca · Claudia Clopath · Lucian Busoniu · Razvan Pascanu
[ Paper ]
Spotlight
Wed Jul 21 05:40 AM -- 05:45 AM (PDT)
Exact Gap between Generalization Error and Uniform Convergence in Random Feature Models
In Deep Learning Theory 2
Zitong Yang · Yu Bai · Song Mei
[ Paper ]
Spotlight
Wed Jul 21 05:40 AM -- 05:45 AM (PDT)
Bilevel Optimization: Convergence Analysis and Enhanced Design
In Optimization (Nonconvex)
Kaiyi Ji · Junjie Yang · Yingbin LIANG
[ Paper ]
Spotlight
Wed Jul 21 05:40 AM -- 05:45 AM (PDT)
Evaluating Robustness of Predictive Uncertainty Estimation: Are Dirichlet-based Models Reliable?
In Supervised Learning 1
Anna-Kathrin Kopetzki · Bertrand Charpentier · Daniel Zügner · Sandhya Giri · Stephan Günnemann
[ Paper ]
Spotlight
Wed Jul 21 05:40 AM -- 05:45 AM (PDT)
Grounding Language to Entities and Dynamics for Generalization in Reinforcement Learning
In Reinforcement Learning 11
Austin W. Hanjie · Victor Zhong · Karthik Narasimhan
[ Paper ]
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
In Learning Theory 1
Shunta Akiyama · Taiji Suzuki
[ Paper ]
Spotlight
Wed Jul 21 05:45 AM -- 05:50 AM (PDT)
Spectral vertex sparsifiers and pair-wise spanners over distributed graphs
In Learning Theory 1
Chunjiang Zhu · Qinqing Liu · Jinbo Bi
[ Paper ]
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
In Deep Learning Theory 2
Spencer Frei · Yuan Cao · Quanquan Gu
[ Paper ]
Spotlight
Wed Jul 21 05:45 AM -- 05:50 AM (PDT)
Classifying high-dimensional Gaussian mixtures: Where kernel methods fail and neural networks succeed
In Learning Theory 3
Maria Refinetti · Sebastian Goldt · FLORENT KRZAKALA · Lenka Zdeborova
[ Paper ]
Spotlight
Wed Jul 21 05:45 AM -- 05:50 AM (PDT)
Optimal Estimation of High Dimensional Smooth Additive Function Based on Noisy Observations
In Learning Theory 2
Fan Zhou · Ping Li
[ Paper ]
Spotlight
Wed Jul 21 05:45 AM -- 05:50 AM (PDT)
Meta-learning Hyperparameter Performance Prediction with Neural Processes
In Supervised Learning 1
Ying WEI · Peilin Zhao · Junzhou Huang
[ Paper ]
Spotlight
Wed Jul 21 05:45 AM -- 05:50 AM (PDT)
Data-efficient Hindsight Off-policy Option Learning
In Reinforcement Learning 11
Markus Wulfmeier · Dushyant Rao · Roland Hafner · Thomas Lampe · Abbas Abdolmaleki · Tim Hertweck · Michael Neunert · Dhruva Tirumala Bukkapatnam · Noah Siegel · Nicolas Heess · Martin Riedmiller
[ Paper ]
Spotlight
Wed Jul 21 05:45 AM -- 05:50 AM (PDT)
Accelerating Safe Reinforcement Learning with Constraint-mismatched Baseline Policies
In Reinforcement Learning 10
Jimmy Yang · Justinian Rosca · Karthik Narasimhan · Peter Ramadge
[ Paper ]
Spotlight
Wed Jul 21 05:45 AM -- 05:50 AM (PDT)
Learning from History for Byzantine Robust Optimization
In Optimization (Nonconvex)
Sai Praneeth Reddy Karimireddy · Lie He · Martin Jaggi
[ Paper ]
Spotlight
Wed Jul 21 05:45 AM -- 05:50 AM (PDT)
Nonparametric Hamiltonian Monte Carlo
In Probabilistic Methods 1
Carol Mak · Fabian Zaiser · Luke Ong
[ Paper ]
Q&A
Wed Jul 21 05:50 AM -- 05:55 AM (PDT)
Q&A
In Reinforcement Learning 10
Q&A
Wed Jul 21 05:50 AM -- 05:55 AM (PDT)
Q&A
In Reinforcement Learning 11
Q&A
Wed Jul 21 05:50 AM -- 05:55 AM (PDT)
Q&A
In Learning Theory 2
Q&A
Wed Jul 21 05:50 AM -- 05:55 AM (PDT)
Q&A
In Learning Theory 3
Q&A
Wed Jul 21 05:50 AM -- 05:55 AM (PDT)
Q&A
In Supervised Learning 1
Q&A
Wed Jul 21 05:50 AM -- 05:55 AM (PDT)
Q&A
In Deep Learning Theory 2
Q&A
Wed Jul 21 05:50 AM -- 05:55 AM (PDT)
Q&A
In Learning Theory 1
Q&A
Wed Jul 21 05:50 AM -- 05:55 AM (PDT)
Q&A
In Optimization (Nonconvex)
Q&A
Wed Jul 21 05:50 AM -- 05:55 AM (PDT)
Q&A
In Probabilistic Methods 1
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
In Online Learning 1
Xinlei Yi · Xiuxian Li · Tao Yang · Lihua Xie · Tianyou Chai · Karl Johansson
[ Paper ]
Oral
Wed Jul 21 06:00 AM -- 06:20 AM (PDT)
Dynamic Game Theoretic Neural Optimizer
In Optimization and Algorithms 3
Guan-Horng Liu · Tianrong Chen · Evangelos Theodorou
[ Paper ]
Oral
Wed Jul 21 06:00 AM -- 06:20 AM (PDT)
Model-based Reinforcement Learning for Continuous Control with Posterior Sampling
In Reinforcement Learning 12
Ying Fan · Yifei Ming
[ Paper ]
Oral
Wed Jul 21 06:00 AM -- 06:20 AM (PDT)
Agnostic Learning of Halfspaces with Gradient Descent via Soft Margins
In Learning Theory 4
Spencer Frei · Yuan Cao · Quanquan Gu
[ Paper ]
Oral
Wed Jul 21 06:00 AM -- 06:20 AM (PDT)
Elastic Graph Neural Networks
In Algorithms and Applications
Xiaorui Liu · Wei Jin · Yao Ma · Yaxin Li · Hua Liu · Yiqi Wang · Ming Yan · Jiliang Tang
[ Paper ]
Oral
Wed Jul 21 06:00 AM -- 06:20 AM (PDT)
Understanding Instance-Level Label Noise: Disparate Impacts and Treatments
In Supervised Learning 2
Yang Liu
[ Paper ]
Oral
Wed Jul 21 06:00 AM -- 06:20 AM (PDT)
Reserve Price Optimization for First Price Auctions in Display Advertising
In Game Theory and Econ
Zhe Feng · Sébastien Lahaie · Jon Schneider · Jinchao Ye
[ Paper ]
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
In Reinforcement Learning and Optimization
Shuang Qiu · Xiaohan Wei · Jieping Ye · Zhaoran Wang · Zhuoran Yang
[ Paper ]
Oral
Wed Jul 21 06:00 AM -- 06:20 AM (PDT)
Bilinear Classes: A Structural Framework for Provable Generalization in RL
In Reinforcement Learning Theory 1
Simon Du · Sham Kakade · Jason Lee · Shachar Lovett · Gaurav Mahajan · Wen Sun · Ruosong Wang
[ Paper ]
Spotlight
Wed Jul 21 06:20 AM -- 06:25 AM (PDT)
How could Neural Networks understand Programs?
In Algorithms and Applications
Dinglan Peng · Shuxin Zheng · Yatao Li · Guolin Ke · Di He · Tie-Yan Liu
[ Paper ]
Spotlight
Wed Jul 21 06:20 AM -- 06:25 AM (PDT)
Principled Exploration via Optimistic Bootstrapping and Backward Induction
In Reinforcement Learning 12
Chenjia Bai · Lingxiao Wang · Lei Han · Jianye Hao · Animesh Garg · Peng Liu · Zhaoran Wang
[ Paper ]
Spotlight
Wed Jul 21 06:20 AM -- 06:25 AM (PDT)
Zero-Shot Knowledge Distillation from a Decision-Based Black-Box Model
In Optimization and Algorithms 3
Zi Wang
[ Paper ]
Spotlight
Wed Jul 21 06:20 AM -- 06:25 AM (PDT)
Align, then memorise: the dynamics of learning with feedback alignment
In Game Theory and Econ
Maria Refinetti · Stéphane d'Ascoli · Ruben Ohana · Sebastian Goldt
[ Paper ]
Spotlight
Wed Jul 21 06:20 AM -- 06:25 AM (PDT)
Two-way kernel matrix puncturing: towards resource-efficient PCA and spectral clustering
In Learning Theory 4
Romain COUILLET · Florent Chatelain · Nicolas Le Bihan
[ Paper ]
Spotlight
Wed Jul 21 06:20 AM -- 06:25 AM (PDT)
Risk Bounds and Rademacher Complexity in Batch Reinforcement Learning
In Reinforcement Learning Theory 1
Yaqi Duan · Chi Jin · Zhiyuan Li
[ Paper ]
Spotlight
Wed Jul 21 06:20 AM -- 06:25 AM (PDT)
Megaverse: Simulating Embodied Agents at One Million Experiences per Second
In Reinforcement Learning and Optimization
Aleksei Petrenko · Erik Wijmans · Brennan Shacklett · Vladlen Koltun
[ Paper ]
Spotlight
Wed Jul 21 06:20 AM -- 06:25 AM (PDT)
Selecting Data Augmentation for Simulating Interventions
In Supervised Learning 2
Maximilian Ilse · Jakub Tomczak · Patrick Forré
[ Paper ]
Spotlight
Wed Jul 21 06:20 AM -- 06:25 AM (PDT)
Near-Optimal Confidence Sequences for Bounded Random Variables
In Online Learning 1
Arun Kuchibhotla · Qinqing Zheng
[ Paper ]
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
In Reinforcement Learning Theory 1
Asaf Cassel · Tomer Koren
[ Paper ]
Spotlight
Wed Jul 21 06:25 AM -- 06:30 AM (PDT)
Joint Online Learning and Decision-making via Dual Mirror Descent
In Online Learning 1
Alfonso Lobos Ruiz · Paul Grigas · Zheng Wen
[ Paper ]
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
In Optimization and Algorithms 3
Jun-Kun Wang · Chi-Heng Lin · Jacob Abernethy
[ Paper ]
Spotlight
Wed Jul 21 06:25 AM -- 06:30 AM (PDT)
ProGraML: A Graph-based Program Representation for Data Flow Analysis and Compiler Optimizations
In Algorithms and Applications
Chris Cummins · Zacharias Fisches · Tal Ben-Nun · Torsten Hoefler · Michael O'Boyle · Hugh Leather
[ Paper ]
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
In Game Theory and Econ
Gabriele Farina · Andrea Celli · Nicola Gatti · Tuomas Sandholm
[ Paper ]
Spotlight
Wed Jul 21 06:25 AM -- 06:30 AM (PDT)
Training Data Subset Selection for Regression with Controlled Generalization Error
In Supervised Learning 2
Durga S · Rishabh Iyer · Ganesh Ramakrishnan · Abir De
[ Paper ]
Spotlight
Wed Jul 21 06:25 AM -- 06:30 AM (PDT)
A Lower Bound for the Sample Complexity of Inverse Reinforcement Learning
In Learning Theory 4
Abi Komanduru · Jean Honorio
[ Paper ]
Spotlight
Wed Jul 21 06:25 AM -- 06:30 AM (PDT)
Scaling Multi-Agent Reinforcement Learning with Selective Parameter Sharing
In Reinforcement Learning and Optimization
Filippos Christianos · Georgios Papoudakis · Muhammad Arrasy Rahman · Stefano V. Albrecht
[ Paper ]
Spotlight
Wed Jul 21 06:25 AM -- 06:30 AM (PDT)
Ensemble Bootstrapping for Q-Learning
In Reinforcement Learning 12
Oren Peer · Chen Tessler · Nadav Merlis · Ron Meir
[ Paper ]
Spotlight
Wed Jul 21 06:30 AM -- 06:35 AM (PDT)
Reward Identification in Inverse Reinforcement Learning
In Reinforcement Learning Theory 1
Kuno Kim · Shivam Garg · Kirankumar Shiragur · Stefano Ermon
[ Paper ]
Spotlight
Wed Jul 21 06:30 AM -- 06:35 AM (PDT)
Descending through a Crowded Valley - Benchmarking Deep Learning Optimizers
In Optimization and Algorithms 3
Robin M Schmidt · Frank Schneider · Philipp Hennig
[ Paper ]
Spotlight
Wed Jul 21 06:30 AM -- 06:35 AM (PDT)
Estimation and Quantization of Expected Persistence Diagrams
In Learning Theory 4
Vincent Divol · Theo Lacombe
[ Paper ]
Spotlight
Wed Jul 21 06:30 AM -- 06:35 AM (PDT)
Online A-Optimal Design and Active Linear Regression
In Online Learning 1
Xavier Fontaine · Pierre Perrault · Michal Valko · Vianney Perchet
[ Paper ]
Spotlight
Wed Jul 21 06:30 AM -- 06:35 AM (PDT)
Towards Open Ad Hoc Teamwork Using Graph-based Policy Learning
In Reinforcement Learning and Optimization
Muhammad Arrasy Rahman · Niklas Hopner · Filippos Christianos · Stefano V. Albrecht
[ Paper ]
Spotlight
Wed Jul 21 06:30 AM -- 06:35 AM (PDT)
Opening the Blackbox: Accelerating Neural Differential Equations by Regularizing Internal Solver Heuristics
In Supervised Learning 2
Avik Pal · Yingbo Ma · Viral Shah · Christopher Rackauckas
[ Paper ]
Spotlight
Wed Jul 21 06:30 AM -- 06:35 AM (PDT)
How Do Adam and Training Strategies Help BNNs Optimization
In Algorithms and Applications
Zechun Liu · Zhiqiang Shen · Shichao Li · Koen Helwegen · Dong Huang · Kwang-Ting Cheng
[ Paper ]
Spotlight
Wed Jul 21 06:30 AM -- 06:35 AM (PDT)
Finite-Sample Analysis of Off-Policy Natural Actor-Critic Algorithm
In Reinforcement Learning 12
sajad khodadadian · Zaiwei Chen · Siva Maguluri
[ Paper ]
Spotlight
Wed Jul 21 06:30 AM -- 06:35 AM (PDT)
Learning to Price Against a Moving Target
In Game Theory and Econ
Renato Leme · Balasubramanian Sivan · Yifeng Teng · Pratik Worah
[ Paper ]
Spotlight
Wed Jul 21 06:35 AM -- 06:40 AM (PDT)
Quantifying and Reducing Bias in Maximum Likelihood Estimation of Structured Anomalies
In Algorithms and Applications
Uthsav Chitra · Kimberly Ding · Jasper C.H. Lee · Benjamin Raphael
[ Paper ]
Spotlight
Wed Jul 21 06:35 AM -- 06:40 AM (PDT)
Fast Algorithms for Stackelberg Prediction Game with Least Squares Loss
In Game Theory and Econ
Jiali Wang · He Chen · Rujun Jiang · Xudong Li · Zihao Li
[ Paper ]
Spotlight
Wed Jul 21 06:35 AM -- 06:40 AM (PDT)
A Regret Minimization Approach to Iterative Learning Control
In Reinforcement Learning 12
Naman Agarwal · Elad Hazan · Anirudha Majumdar · Karan Singh
[ Paper ]
Spotlight
Wed Jul 21 06:35 AM -- 06:40 AM (PDT)
Post-selection inference with HSIC-Lasso
In Learning Theory 4
Tobias Freidling · Benjamin Poignard · Héctor Climente-González · Makoto Yamada
[ Paper ]
Spotlight
Wed Jul 21 06:35 AM -- 06:40 AM (PDT)
Tractable structured natural-gradient descent using local parameterizations
In Optimization and Algorithms 3
Wu Lin · Frank Nielsen · Khan Emtiyaz · Mark Schmidt
[ Paper ]
Spotlight
Wed Jul 21 06:35 AM -- 06:40 AM (PDT)
Learning from Noisy Labels with No Change to the Training Process
In Supervised Learning 2
Mingyuan Zhang · Jane Lee · Shivani Agarwal
[ Paper ]
Spotlight
Wed Jul 21 06:35 AM -- 06:40 AM (PDT)
Fairness and Bias in Online Selection
In Online Learning 1
Jose Correa · Andres Cristi · Paul Duetting · Ashkan Norouzi-Fard
[ Paper ]
Spotlight
Wed Jul 21 06:35 AM -- 06:40 AM (PDT)
Off-Belief Learning
In Reinforcement Learning and Optimization
Hengyuan Hu · Adam Lerer · Brandon Cui · Luis Pineda · Noam Brown · Jakob Foerster
[ Paper ]
Spotlight
Wed Jul 21 06:35 AM -- 06:40 AM (PDT)
Online Optimization in Games via Control Theory: Connecting Regret, Passivity and Poincaré Recurrence
In Reinforcement Learning Theory 1
Yun Kuen Cheung · Georgios Piliouras
[ Paper ]
Affinity Workshop
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)
What does LIME really see in images?
In Supervised Learning 2
Damien Garreau · Dina Mardaoui
[ Paper ]
Spotlight
Wed Jul 21 06:40 AM -- 06:45 AM (PDT)
Efficient Performance Bounds for Primal-Dual Reinforcement Learning from Demonstrations
In Reinforcement Learning Theory 1
Angeliki Kamoutsi · Goran Banjac · John Lygeros
[ Paper ]
Spotlight
Wed Jul 21 06:40 AM -- 06:45 AM (PDT)
Towards Rigorous Interpretations: a Formalisation of Feature Attribution
In Optimization and Algorithms 3
Darius Afchar · Vincent Guigue · Romain Hennequin
[ Paper ]
Spotlight
Wed Jul 21 06:40 AM -- 06:45 AM (PDT)
Learning from Nested Data with Ornstein Auto-Encoders
In Algorithms and Applications
Youngwon Choi · Sungdong Lee · Joong-Ho (Johann) Won
[ Paper ]
Spotlight
Wed Jul 21 06:40 AM -- 06:45 AM (PDT)
TempoRL: Learning When to Act
In Reinforcement Learning 12
André Biedenkapp · Raghu Rajan · Frank Hutter · Marius Lindauer
[ Paper ]
Spotlight
Wed Jul 21 06:40 AM -- 06:45 AM (PDT)
Approximate Group Fairness for Clustering
In Game Theory and Econ
Bo Li · Lijun Li · Ankang Sun · Chenhao Wang · Yingfan Wang
[ Paper ]
Spotlight
Wed Jul 21 06:40 AM -- 06:45 AM (PDT)
On Reinforcement Learning with Adversarial Corruption and Its Application to Block MDP
In Reinforcement Learning and Optimization
Tianhao Wu · Yunchang Yang · Simon Du · Liwei Wang
[ Paper ]
Spotlight
Wed Jul 21 06:40 AM -- 06:45 AM (PDT)
Provable Robustness of Adversarial Training for Learning Halfspaces with Noise
In Learning Theory 4
Difan Zou · Spencer Frei · Quanquan Gu
[ Paper ]
Spotlight
Wed Jul 21 06:40 AM -- 06:45 AM (PDT)
ChaCha for Online AutoML
In Online Learning 1
Qingyun Wu · Chi Wang · John Langford · Paul Mineiro · Marco Rossi
[ Paper ]
Spotlight
Wed Jul 21 06:45 AM -- 06:50 AM (PDT)
Kernel-Based Reinforcement Learning: A Finite-Time Analysis
In Algorithms and Applications
Omar Darwiche Domingues · Pierre Menard · Matteo Pirotta · Emilie Kaufmann · Michal Valko
[ Paper ]
Spotlight
Wed Jul 21 06:45 AM -- 06:50 AM (PDT)
State Relevance for Off-Policy Evaluation
In Reinforcement Learning 12
Simon Shen · Jason Yecheng Ma · Omer Gottesman · Finale Doshi-Velez
[ Paper ]
Spotlight
Wed Jul 21 06:45 AM -- 06:50 AM (PDT)
Combining Pessimism with Optimism for Robust and Efficient Model-Based Deep Reinforcement Learning
In Reinforcement Learning and Optimization
Sebastian Curi · Ilija Bogunovic · Andreas Krause
[ Paper ]
Spotlight
Wed Jul 21 06:45 AM -- 06:50 AM (PDT)
Narrow Margins: Classification, Margins and Fat Tails
In Supervised Learning 2
Francois Buet-Golfouse
[ Paper ]
Spotlight
Wed Jul 21 06:45 AM -- 06:50 AM (PDT)
Robust Reinforcement Learning using Least Squares Policy Iteration with Provable Performance Guarantees
In Reinforcement Learning Theory 1
Kishan Panaganti · Dileep Kalathil
[ Paper ]
Spotlight
Wed Jul 21 06:45 AM -- 06:50 AM (PDT)
Distributed Nystr\"{o}m Kernel Learning with Communications
In Optimization and Algorithms 3
Rong Yin · Weiping Wang · Dan Meng
[ Paper ]
Spotlight
Wed Jul 21 06:45 AM -- 06:50 AM (PDT)
An Algorithm for Stochastic and Adversarial Bandits with Switching Costs
In Online Learning 1
Chloé Rouyer · Yevgeny Seldin · Nicolò Cesa-Bianchi
[ Paper ]
Spotlight
Wed Jul 21 06:45 AM -- 06:50 AM (PDT)
Incentivizing Compliance with Algorithmic Instruments
In Game Theory and Econ
Dung Ngo · Logan Stapleton · Vasilis Syrgkanis · Steven Wu
[ Paper ]
Spotlight
Wed Jul 21 06:45 AM -- 06:50 AM (PDT)
Distribution-Free Calibration Guarantees for Histogram Binning without Sample Splitting
In Learning Theory 4
Chirag Gupta · Aaditya Ramdas
[ Paper ]
Q&A
Wed Jul 21 06:50 AM -- 06:55 AM (PDT)
Q&A
In Reinforcement Learning and Optimization
Q&A
Wed Jul 21 06:50 AM -- 06:55 AM (PDT)
Q&A
In Algorithms and Applications
Q&A
Wed Jul 21 06:50 AM -- 06:55 AM (PDT)
Q&A
In Optimization and Algorithms 3
Q&A
Wed Jul 21 06:50 AM -- 06:55 AM (PDT)
Q&A
In Reinforcement Learning Theory 1
Q&A
Wed Jul 21 06:50 AM -- 06:55 AM (PDT)
Q&A
In Online Learning 1
Q&A
Wed Jul 21 06:50 AM -- 06:55 AM (PDT)
Q&A
In Reinforcement Learning 12
Q&A
Wed Jul 21 06:50 AM -- 06:55 AM (PDT)
Q&A
In Game Theory and Econ
Q&A
Wed Jul 21 06:50 AM -- 06:55 AM (PDT)
Q&A
In Supervised Learning 2
Q&A
Wed Jul 21 06:50 AM -- 06:55 AM (PDT)
Q&A
In Learning Theory 4
Oral
Wed Jul 21 07:00 AM -- 07:20 AM (PDT)
High-dimensional Experimental Design and Kernel Bandits
In Bandits 1
Romain Camilleri · Kevin Jamieson · Julian Katz-Samuels
[ Paper ]
Oral
Wed Jul 21 07:00 AM -- 07:20 AM (PDT)
On the Implicit Bias of Initialization Shape: Beyond Infinitesimal Mirror Descent
In Deep Learning Theory 3
Shahar Azulay · Edward Moroshko · Mor Shpigel Nacson · Blake Woodworth · Nati Srebro · Amir Globerson · Daniel Soudry
[ Paper ]
Oral
Wed Jul 21 07:00 AM -- 07:20 AM (PDT)
Modelling Behavioural Diversity for Learning in Open-Ended Games
In Learning Theory 5
Nicolas Perez-Nieves · Yaodong Yang · Oliver Slumbers · David Mguni · Ying Wen · Jun Wang
[ Paper ]
Oral
Wed Jul 21 07:00 AM -- 07:20 AM (PDT)
Inferring serial correlation with dynamic backgrounds
In Time Series 1
Song Wei · Yao Xie · Dobromir Rahnev
[ Paper ]
Oral
Wed Jul 21 07:00 AM -- 07:20 AM (PDT)
Kernel Stein Discrepancy Descent
In Kernel Methods
Anna Korba · Pierre-Cyril Aubin-Frankowski · Szymon Majewski · Pierre Ablin
[ Paper ]
Oral
Wed Jul 21 07:00 AM -- 07:20 AM (PDT)
Inferring Latent Dynamics Underlying Neural Population Activity via Neural Differential Equations
In Applications (Bio) 1
Timothy Kim · Thomas Luo · Jonathan Pillow · Carlos Brody
[ Paper ]
Oral
Wed Jul 21 07:00 AM -- 07:20 AM (PDT)
PAC-Learning for Strategic Classification
In Learning Theory 6
Ravi Sundaram · Anil Vullikanti · Haifeng Xu · Fan Yao
[ Paper ]
Oral
Wed Jul 21 07:00 AM -- 07:20 AM (PDT)
Measuring Robustness in Deep Learning Based Compressive Sensing
In Sparsity and Compressed Sensing
Mohammad Zalbagi Darestani · Akshay Chaudhari · Reinhard Heckel
[ Paper ]
Oral
Wed Jul 21 07:00 AM -- 07:20 AM (PDT)
The Logical Options Framework
In Reinforcement Learning 13
Brandon Araki · Xiao Li · Kiran Vodrahalli · Jonathan DeCastro · Micah Fry · Daniela Rus
[ Paper ]
Spotlight
Wed Jul 21 07:00 AM -- 07:05 AM (PDT)
Instabilities of Offline RL with Pre-Trained Neural Representation
In Reinforcement Learning and Bandits
Ruosong Wang · Yifan Wu · Ruslan Salakhutdinov · Sham Kakade
[ Paper ]
Spotlight
Wed Jul 21 07:05 AM -- 07:10 AM (PDT)
Path Planning using Neural A* Search
In Reinforcement Learning and Bandits
Ryo Yonetani · Tatsunori Taniai · Mohammadamin Barekatain · Mai Nishimura · Asako Kanezaki
[ Paper ]
Spotlight
Wed Jul 21 07:10 AM -- 07:15 AM (PDT)
Group-Sparse Matrix Factorization for Transfer Learning of Word Embeddings
In Reinforcement Learning and Bandits
Kan Xu · Xuanyi Zhao · Hamsa Bastani · Osbert Bastani
[ Paper ]
Spotlight
Wed Jul 21 07:15 AM -- 07:20 AM (PDT)
Tightening the Dependence on Horizon in the Sample Complexity of Q-Learning
In Reinforcement Learning and Bandits
Gen Li · Changxiao Cai · Yuxin Chen · Yuantao Gu · Yuting Wei · Yuejie Chi
[ Paper ]
Oral
Wed Jul 21 07:20 AM -- 07:40 AM (PDT)
On Reward-Free RL with Kernel and Neural Function Approximations: Single-Agent MDP and Markov Game
In Reinforcement Learning 13
Shuang Qiu · Jieping Ye · Zhaoran Wang · Zhuoran Yang
[ Paper ]
Spotlight
Wed Jul 21 07:20 AM -- 07:25 AM (PDT)
Instance-Optimal Compressed Sensing via Posterior Sampling
In Sparsity and Compressed Sensing
Ajil Jalal · Sushrut Karmalkar · Alexandros Dimakis · Eric Price
[ Paper ]
Spotlight
Wed Jul 21 07:20 AM -- 07:25 AM (PDT)
Solving Challenging Dexterous Manipulation Tasks With Trajectory Optimisation and Reinforcement Learning
In Reinforcement Learning and Bandits
Henry Charlesworth · Giovanni Montana
[ Paper ]
Spotlight
Wed Jul 21 07:20 AM -- 07:25 AM (PDT)
Variance Reduced Training with Stratified Sampling for Forecasting Models
In Time Series 1
Yucheng Lu · Youngsuk Park · Lifan Chen · Yuyang Wang · Christopher De Sa · Dean Foster
[ Paper ]
Spotlight
Wed Jul 21 07:20 AM -- 07:25 AM (PDT)
Learning Queueing Policies for Organ Transplantation Allocation using Interpretable Counterfactual Survival Analysis
In Applications (Bio) 1
Jeroen Berrevoets · Ahmed Alaa · Zhaozhi Qian · James Jordon · alexander gimson · Mihaela van der Schaar
[ Paper ]
Spotlight
Wed Jul 21 07:20 AM -- 07:25 AM (PDT)
Learning from Biased Data: A Semi-Parametric Approach
In Learning Theory 6
Patrice Bertail · Stephan Clémençon · Yannick Guyonvarch · Nathan NOIRY
[ Paper ]
Spotlight
Wed Jul 21 07:20 AM -- 07:25 AM (PDT)
Conditional Distributional Treatment Effect with Kernel Conditional Mean Embeddings and U-Statistic Regression
In Kernel Methods
Junhyung Park · Uri Shalit · Bernhard Schölkopf · Krikamol Muandet
[ Paper ]
Spotlight
Wed Jul 21 07:20 AM -- 07:25 AM (PDT)
A statistical perspective on distillation
In Deep Learning Theory 3
Aditya Menon · Ankit Singh Rawat · Sashank Jakkam Reddi · Seungyeon Kim · Sanjiv Kumar
[ Paper ]
Spotlight
Wed Jul 21 07:20 AM -- 07:25 AM (PDT)
Follow-the-Regularized-Leader Routes to Chaos in Routing Games
In Learning Theory 5
Jakub Bielawski · Thiparat Chotibut · Fryderyk Falniowski · Grzegorz Kosiorowski · Michał Misiurewicz · Georgios Piliouras
[ Paper ]
Spotlight
Wed Jul 21 07:20 AM -- 07:25 AM (PDT)
Dichotomous Optimistic Search to Quantify Human Perception
In Bandits 1
Julien Audiffren
[ Paper ]
Spotlight
Wed Jul 21 07:25 AM -- 07:30 AM (PDT)
Learning in Nonzero-Sum Stochastic Games with Potentials
In Learning Theory 6
David Mguni · Yutong Wu · Yali Du · Yaodong Yang · Ziyi Wang · Minne Li · Ying Wen · Joel Jennings · Jun Wang
[ Paper ]
Spotlight
Wed Jul 21 07:25 AM -- 07:30 AM (PDT)
Generalised Lipschitz Regularisation Equals Distributional Robustness
In Kernel Methods
Zac Cranko · Zhan Shi · Xinhua Zhang · Richard Nock · Simon Kornblith
[ Paper ]
Spotlight
Wed Jul 21 07:25 AM -- 07:30 AM (PDT)
A Nullspace Property for Subspace-Preserving Recovery
In Sparsity and Compressed Sensing
Mustafa D Kaba · Chong You · Daniel Robinson · Enrique Mallada · Rene Vidal
[ Paper ]
Spotlight
Wed Jul 21 07:25 AM -- 07:30 AM (PDT)
Necessary and sufficient conditions for causal feature selection in time series with latent common causes
In Time Series 1
Atalanti Mastakouri · Bernhard Schölkopf · Dominik Janzing
[ Paper ]
Spotlight
Wed Jul 21 07:25 AM -- 07:30 AM (PDT)
The Lipschitz Constant of Self-Attention
In Deep Learning Theory 3
Hyunjik Kim · George Papamakarios · Andriy Mnih
[ Paper ]
Spotlight
Wed Jul 21 07:25 AM -- 07:30 AM (PDT)
Improved Confidence Bounds for the Linear Logistic Model and Applications to Bandits
In Bandits 1
Kwang-Sung Jun · Lalit Jain · Blake Mason · Houssam Nassif
[ Paper ]
Spotlight
Wed Jul 21 07:25 AM -- 07:30 AM (PDT)
Continuous-time Model-based Reinforcement Learning
In Reinforcement Learning and Bandits
Cagatay Yildiz · Markus Heinonen · Harri Lähdesmäki
[ Paper ]
Spotlight
Wed Jul 21 07:25 AM -- 07:30 AM (PDT)
Deep Continuous Networks
In Applications (Bio) 1
Nergis Tomen · Silvia-Laura Pintea · Jan van Gemert
[ Paper ]
Spotlight
Wed Jul 21 07:25 AM -- 07:30 AM (PDT)
How to Learn when Data Reacts to Your Model: Performative Gradient Descent
In Learning Theory 5
Zachary Izzo · Lexing Ying · James Zou
[ Paper ]
Spotlight
Wed Jul 21 07:30 AM -- 07:35 AM (PDT)
Bayesian Optimistic Optimisation with Exponentially Decaying Regret
In Reinforcement Learning and Bandits
Hung Tran-The · Sunil Gupta · Santu Rana · Svetha Venkatesh
[ Paper ]
Spotlight
Wed Jul 21 07:30 AM -- 07:35 AM (PDT)
Revealing the Structure of Deep Neural Networks via Convex Duality
In Deep Learning Theory 3
Tolga Ergen · Mert Pilanci
[ Paper ]
Spotlight
Wed Jul 21 07:30 AM -- 07:35 AM (PDT)
Stochastic Multi-Armed Bandits with Unrestricted Delay Distributions
In Bandits 1
Tal Lancewicki · Shahar Segal · Tomer Koren · Yishay Mansour
[ Paper ]
Spotlight
Wed Jul 21 07:30 AM -- 07:35 AM (PDT)
Guarantees for Tuning the Step Size using a Learning-to-Learn Approach
In Learning Theory 6
Xiang Wang · Shuai Yuan · Chenwei Wu · Rong Ge
[ Paper ]
Spotlight
Wed Jul 21 07:30 AM -- 07:35 AM (PDT)
Multiplying Matrices Without Multiplying
In Time Series 1
Davis Blalock · John Guttag
[ Paper ]
Spotlight
Wed Jul 21 07:30 AM -- 07:35 AM (PDT)
Continuous Coordination As a Realistic Scenario for Lifelong Learning
In Learning Theory 5
Hadi Nekoei · Akilesh Badrinaaraayanan · Aaron Courville · Sarath Chandar
[ Paper ]
Spotlight
Wed Jul 21 07:30 AM -- 07:35 AM (PDT)
Interpretable Stein Goodness-of-fit Tests on Riemannian Manifold
In Kernel Methods
Wenkai Xu · Takeru Matsuda
[ Paper ]
Spotlight
Wed Jul 21 07:30 AM -- 07:35 AM (PDT)
SimAM: A Simple, Parameter-Free Attention Module for Convolutional Neural Networks
In Applications (Bio) 1
Lingxiao YANG · Ru-Yuan Zhang · Lida LI · Xiaohua Xie
[ Paper ]
Spotlight
Wed Jul 21 07:30 AM -- 07:35 AM (PDT)
Homomorphic Sensing: Sparsity and Noise
In Sparsity and Compressed Sensing
Liangzu Peng · Boshi Wang · Manolis Tsakiris
[ Paper ]
Spotlight
Wed Jul 21 07:35 AM -- 07:40 AM (PDT)
Representational aspects of depth and conditioning in normalizing flows
In Deep Learning Theory 3
Frederic Koehler · Viraj Mehta · Andrej Risteski
[ Paper ]
Spotlight
Wed Jul 21 07:35 AM -- 07:40 AM (PDT)
Efficient Deviation Types and Learning for Hindsight Rationality in Extensive-Form Games
In Learning Theory 5
Dustin Morrill · Ryan D'Orazio · Marc Lanctot · James Wright · Michael Bowling · Amy Greenwald
[ Paper ]
Spotlight
Wed Jul 21 07:35 AM -- 07:40 AM (PDT)
Large-Scale Multi-Agent Deep FBSDEs
In Learning Theory 6
Tianrong Chen · Ziyi Wang · Ioannis Exarchos · Evangelos Theodorou
[ Paper ]
Spotlight
Wed Jul 21 07:35 AM -- 07:40 AM (PDT)
An exact solver for the Weston-Watkins SVM subproblem
In Kernel Methods
Yutong Wang · Clay Scott
[ Paper ]
Spotlight
Wed Jul 21 07:35 AM -- 07:40 AM (PDT)
The Power of Log-Sum-Exp: Sequential Density Ratio Matrix Estimation for Speed-Accuracy Optimization
In Time Series 1
Taiki Miyagawa · Akinori Ebihara
[ Paper ]
Spotlight
Wed Jul 21 07:35 AM -- 07:40 AM (PDT)
Best Model Identification: A Rested Bandit Formulation
In Reinforcement Learning and Bandits
Leonardo Cella · Massimiliano Pontil · Claudio Gentile
[ Paper ]
Spotlight
Wed Jul 21 07:35 AM -- 07:40 AM (PDT)
Deciding What to Learn: A Rate-Distortion Approach
In Bandits 1
Dilip Arumugam · Benjamin Van Roy
[ Paper ]
Spotlight
Wed Jul 21 07:35 AM -- 07:40 AM (PDT)
Active Deep Probabilistic Subsampling
In Sparsity and Compressed Sensing
Hans van Gorp · Iris Huijben · Bastiaan Veeling · Nicola Pezzotti · Ruud J. G. van Sloun
[ Paper ]
Spotlight
Wed Jul 21 07:35 AM -- 07:40 AM (PDT)
Factor-analytic inverse regression for high-dimension, small-sample dimensionality reduction
In Applications (Bio) 1
Aditi Jha · Michael J. Morais · Jonathan Pillow
[ Paper ]
Spotlight
Wed Jul 21 07:40 AM -- 07:45 AM (PDT)
Proximal Causal Learning with Kernels: Two-Stage Estimation and Moment Restriction
In Kernel Methods
Afsaneh Mastouri · Yuchen Zhu · Limor Gultchin · Anna Korba · Ricardo Silva · Matt J. Kusner · Arthur Gretton · Krikamol Muandet
[ Paper ]
Spotlight
Wed Jul 21 07:40 AM -- 07:45 AM (PDT)
Adversarial Option-Aware Hierarchical Imitation Learning
In Reinforcement Learning 13
Mingxuan Jing · Wenbing Huang · Fuchun Sun · Xiaojian Ma · Tao Kong · Chuang Gan · Lei Li
[ Paper ]
Spotlight
Wed Jul 21 07:40 AM -- 07:45 AM (PDT)
On-Off Center-Surround Receptive Fields for Accurate and Robust Image Classification
In Applications (Bio) 1
Zahra Babaiee · Ramin Hasani · Mathias Lechner · Daniela Rus · Radu Grosu
[ Paper ]
Spotlight
Wed Jul 21 07:40 AM -- 07:45 AM (PDT)
Collaborative Bayesian Optimization with Fair Regret
In Learning Theory 5
Rachael Hwee Ling Sim · Yehong Zhang · Bryan Kian Hsiang Low · Patrick Jaillet
[ Paper ]
Spotlight
Wed Jul 21 07:40 AM -- 07:45 AM (PDT)
Data-driven Prediction of General Hamiltonian Dynamics via Learning Exactly-Symplectic Maps
In Time Series 1
Renyi Chen · Molei Tao
[ Paper ]
Spotlight
Wed Jul 21 07:40 AM -- 07:45 AM (PDT)
Prior Image-Constrained Reconstruction using Style-Based Generative Models
In Sparsity and Compressed Sensing
Varun A. Kelkar · Mark Anastasio
[ Paper ]
Spotlight
Wed Jul 21 07:40 AM -- 07:45 AM (PDT)
Toward Understanding the Feature Learning Process of Self-supervised Contrastive Learning
In Deep Learning Theory 3
Zixin Wen · Yuanzhi Li
[ Paper ]
Spotlight
Wed Jul 21 07:40 AM -- 07:45 AM (PDT)
Multi-group Agnostic PAC Learnability
In Learning Theory 6
Guy Rothblum · Gal Yona
[ Paper ]
Spotlight
Wed Jul 21 07:40 AM -- 07:45 AM (PDT)
No-regret Algorithms for Capturing Events in Poisson Point Processes
In Bandits 1
Mojmir Mutny · Andreas Krause
[ Paper ]
Spotlight
Wed Jul 21 07:40 AM -- 07:45 AM (PDT)
Global Convergence of Policy Gradient for Linear-Quadratic Mean-Field Control/Game in Continuous Time
In Reinforcement Learning and Bandits
Weichen Wang · Jiequn Han · Zhuoran Yang · Zhaoran Wang
[ Paper ]
Q&A
Wed Jul 21 07:45 AM -- 07:50 AM (PDT)
Q&A
In Reinforcement Learning and Bandits
Spotlight
Wed Jul 21 07:45 AM -- 07:50 AM (PDT)
Parametric Graph for Unimodal Ranking Bandit
In Bandits 1
Camille-Sovanneary GAUTHIER · Romaric Gaudel · Elisa Fromont · Boammani Aser Lompo
[ Paper ]
Spotlight
Wed Jul 21 07:45 AM -- 07:50 AM (PDT)
Value Iteration in Continuous Actions, States and Time
In Reinforcement Learning 13
Michael Lutter · Shie Mannor · Jan Peters · Dieter Fox · Animesh Garg
[ Paper ]
Spotlight
Wed Jul 21 07:45 AM -- 07:50 AM (PDT)
Exponentially Many Local Minima in Quantum Neural Networks
In Learning Theory 5
Xuchen You · Xiaodi Wu
[ Paper ]
Spotlight
Wed Jul 21 07:45 AM -- 07:50 AM (PDT)
Faster Kernel Matrix Algebra via Density Estimation
In Kernel Methods
Arturs Backurs · Piotr Indyk · Cameron Musco · Tal Wagner
[ Paper ]
Spotlight
Wed Jul 21 07:45 AM -- 07:50 AM (PDT)
One for One, or All for All: Equilibria and Optimality of Collaboration in Federated Learning
In Learning Theory 6
Avrim Blum · Nika Haghtalab · Richard Lanas Phillips · Han Shao
[ Paper ]
Spotlight
Wed Jul 21 07:45 AM -- 07:50 AM (PDT)
AGENT: A Benchmark for Core Psychological Reasoning
In Applications (Bio) 1
Tianmin Shu · Abhishek Bhandwaldar · Chuang Gan · Kevin Smith · Shari Liu · Dan Gutfreund · Elizabeth Spelke · Josh Tenenbaum · Tomer Ullman
[ Paper ]
Spotlight
Wed Jul 21 07:45 AM -- 07:50 AM (PDT)
Learning Stochastic Behaviour from Aggregate Data
In Time Series 1
Shaojun Ma · Shu Liu · Hongyuan Zha · Haomin Zhou
[ Paper ]
Spotlight
Wed Jul 21 07:45 AM -- 07:50 AM (PDT)
Intermediate Layer Optimization for Inverse Problems using Deep Generative Models
In Sparsity and Compressed Sensing
Giannis Daras · Joseph Dean · Ajil Jalal · Alexandros Dimakis
[ Paper ]
Spotlight
Wed Jul 21 07:45 AM -- 07:50 AM (PDT)
The Hintons in your Neural Network: a Quantum Field Theory View of Deep Learning
In Deep Learning Theory 3
Roberto Bondesan · Max Welling
[ Paper ]
Q&A
Wed Jul 21 07:50 AM -- 07:55 AM (PDT)
Q&A
In Learning Theory 5
Q&A
Wed Jul 21 07:50 AM -- 07:55 AM (PDT)
Q&A
In Kernel Methods
Q&A
Wed Jul 21 07:50 AM -- 07:55 AM (PDT)
Q&A
In Learning Theory 6
Q&A
Wed Jul 21 07:50 AM -- 07:55 AM (PDT)
Q&A
In Reinforcement Learning 13
Q&A
Wed Jul 21 07:50 AM -- 07:55 AM (PDT)
Q&A
In Bandits 1
Q&A
Wed Jul 21 07:50 AM -- 07:55 AM (PDT)
Q&A
In Time Series 1
Q&A
Wed Jul 21 07:50 AM -- 07:55 AM (PDT)
Q&A
In Applications (Bio) 1
Q&A
Wed Jul 21 07:50 AM -- 07:55 AM (PDT)
Q&A
In Deep Learning Theory 3
Q&A
Wed Jul 21 07:50 AM -- 07:55 AM (PDT)
Q&A
In Sparsity and Compressed Sensing
Invited Talk
Wed Jul 21 08:00 AM -- 09:00 AM (PDT)
Esther Duflo, Plumbers and Mechanics: How ML can complement RCT in policy experiments
Esther Duflo
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Instabilities of Offline RL with Pre-Trained Neural Representation
In Poster Session 3
Ruosong Wang · Yifan Wu · Ruslan Salakhutdinov · Sham Kakade
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Multi-group Agnostic PAC Learnability
In Poster Session 3
Guy Rothblum · Gal Yona
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Improving Lossless Compression Rates via Monte Carlo Bits-Back Coding
In Poster Session 3
Yangjun Ruan · Karen Ullrich · Daniel Severo · James Townsend · Ashish Khisti · Arnaud Doucet · Alireza Makhzani · Chris Maddison
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
What does LIME really see in images?
In Poster Session 3
Damien Garreau · Dina Mardaoui
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
Generalised Lipschitz Regularisation Equals Distributional Robustness
In Poster Session 3
Zac Cranko · Zhan Shi · Xinhua Zhang · Richard Nock · Simon Kornblith
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
Deep Continuous Networks
In Poster Session 3
Nergis Tomen · Silvia-Laura Pintea · Jan van Gemert
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
Estimating $\alpha$-Rank from A Few Entries with Low Rank Matrix Completion
In Poster Session 3
Yali Du · Xue Yan · Xu Chen · Jun Wang · Haifeng Zhang
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Connecting Optimal Ex-Ante Collusion in Teams to Extensive-Form Correlation: Faster Algorithms and Positive Complexity Results
In Poster Session 3
Gabriele Farina · Andrea Celli · Nicola Gatti · Tuomas Sandholm
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Value Iteration in Continuous Actions, States and Time
In Poster Session 3
Michael Lutter · Shie Mannor · Jan Peters · Dieter Fox · Animesh Garg
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Near-Optimal Confidence Sequences for Bounded Random Variables
In Poster Session 3
Arun Kuchibhotla · Qinqing Zheng
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
PAC-Learning for Strategic Classification
In Poster Session 3
Ravi Sundaram · Anil Vullikanti · Haifeng Xu · Fan Yao
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
Interpretable Stein Goodness-of-fit Tests on Riemannian Manifold
In Poster Session 3
Wenkai Xu · Takeru Matsuda
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Disentangling Sampling and Labeling Bias for Learning in Large-output Spaces
In Poster Session 3
Ankit Singh Rawat · Aditya Menon · Wittawat Jitkrittum · Sadeep Jayasumana · Felix Xinnan Yu · Sashank Jakkam Reddi · Sanjiv Kumar
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Collaborative Bayesian Optimization with Fair Regret
In Poster Session 3
Rachael Hwee Ling Sim · Yehong Zhang · Bryan Kian Hsiang Low · Patrick Jaillet
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
Bilevel Optimization: Convergence Analysis and Enhanced Design
In Poster Session 3
Kaiyi Ji · Junjie Yang · Yingbin LIANG
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
Regret and Cumulative Constraint Violation Analysis for Online Convex Optimization with Long Term Constraints
In Poster Session 3
Xinlei Yi · Xiuxian Li · Tao Yang · Lihua Xie · Tianyou Chai · Karl Johansson
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
On-Off Center-Surround Receptive Fields for Accurate and Robust Image Classification
In Poster Session 3
Zahra Babaiee · Ramin Hasani · Mathias Lechner · Daniela Rus · Radu Grosu
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
Provable Generalization of SGD-trained Neural Networks of Any Width in the Presence of Adversarial Label Noise
In Poster Session 3
Spencer Frei · Yuan Cao · Quanquan Gu
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
Best Model Identification: A Rested Bandit Formulation
In Poster Session 3
Leonardo Cella · Massimiliano Pontil · Claudio Gentile
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Meta-learning Hyperparameter Performance Prediction with Neural Processes
In Poster Session 3
Ying WEI · Peilin Zhao · Junzhou Huang
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Data-efficient Hindsight Off-policy Option Learning
In Poster Session 3
Markus Wulfmeier · Dushyant Rao · Roland Hafner · Thomas Lampe · Abbas Abdolmaleki · Tim Hertweck · Michael Neunert · Dhruva Tirumala Bukkapatnam · Noah Siegel · Nicolas Heess · Martin Riedmiller
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Reserve Price Optimization for First Price Auctions in Display Advertising
In Poster Session 3
Zhe Feng · Sébastien Lahaie · Jon Schneider · Jinchao Ye
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
Kernel Stein Discrepancy Descent
In Poster Session 3
Anna Korba · Pierre-Cyril Aubin-Frankowski · Szymon Majewski · Pierre Ablin
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
Meta Learning for Support Recovery in High-dimensional Precision Matrix Estimation
In Poster Session 3
Qian Zhang · Yilin Zheng · Jean Honorio
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
Combining Pessimism with Optimism for Robust and Efficient Model-Based Deep Reinforcement Learning
In Poster Session 3
Sebastian Curi · Ilija Bogunovic · Andreas Krause
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
How could Neural Networks understand Programs?
In Poster Session 3
Dinglan Peng · Shuxin Zheng · Yatao Li · Guolin Ke · Di He · Tie-Yan Liu
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Incentivizing Compliance with Algorithmic Instruments
In Poster Session 3
Dung Ngo · Logan Stapleton · Vasilis Syrgkanis · Steven Wu
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Online A-Optimal Design and Active Linear Regression
In Poster Session 3
Xavier Fontaine · Pierre Perrault · Michal Valko · Vianney Perchet
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Data-driven Prediction of General Hamiltonian Dynamics via Learning Exactly-Symplectic Maps
In Poster Session 3
Renyi Chen · Molei Tao
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
Prior Image-Constrained Reconstruction using Style-Based Generative Models
In Poster Session 3
Varun A. Kelkar · Mark Anastasio
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
A statistical perspective on distillation
In Poster Session 3
Aditya Menon · Ankit Singh Rawat · Sashank Jakkam Reddi · Seungyeon Kim · Sanjiv Kumar
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Inferring Latent Dynamics Underlying Neural Population Activity via Neural Differential Equations
In Poster Session 3
Timothy Kim · Thomas Luo · Jonathan Pillow · Carlos Brody
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Optimal Estimation of High Dimensional Smooth Additive Function Based on Noisy Observations
In Poster Session 3
Fan Zhou · Ping Li
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
Efficient Deviation Types and Learning for Hindsight Rationality in Extensive-Form Games
In Poster Session 3
Dustin Morrill · Ryan D'Orazio · Marc Lanctot · James Wright · Michael Bowling · Amy Greenwald
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
Two-way kernel matrix puncturing: towards resource-efficient PCA and spectral clustering
In Poster Session 3
Romain COUILLET · Florent Chatelain · Nicolas Le Bihan
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
On Learnability via Gradient Method for Two-Layer ReLU Neural Networks in Teacher-Student Setting
In Poster Session 3
Shunta Akiyama · Taiji Suzuki
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Guided Exploration with Proximal Policy Optimization using a Single Demonstration
In Poster Session 3
Gabriele Libardi · Gianni De Fabritiis · Sebastian Dittert
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
Decoupling Exploration and Exploitation for Meta-Reinforcement Learning without Sacrifices
In Poster Session 3
Evan Liu · Aditi Raghunathan · Percy Liang · Chelsea Finn
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Learning from Biased Data: A Semi-Parametric Approach
In Poster Session 3
Patrice Bertail · Stephan Clémençon · Yannick Guyonvarch · Nathan NOIRY
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Follow-the-Regularized-Leader Routes to Chaos in Routing Games
In Poster Session 3
Jakub Bielawski · Thiparat Chotibut · Fryderyk Falniowski · Grzegorz Kosiorowski · Michał Misiurewicz · Georgios Piliouras
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Estimation and Quantization of Expected Persistence Diagrams
In Poster Session 3
Vincent Divol · Theo Lacombe
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Provable Robustness of Adversarial Training for Learning Halfspaces with Noise
In Poster Session 3
Difan Zou · Spencer Frei · Quanquan Gu
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Model-Free and Model-Based Policy Evaluation when Causality is Uncertain
In Poster Session 3
David Bruns-Smith
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
No-regret Algorithms for Capturing Events in Poisson Point Processes
In Poster Session 3
Mojmir Mutny · Andreas Krause
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
Distribution-Free Calibration Guarantees for Histogram Binning without Sample Splitting
In Poster Session 3
Chirag Gupta · Aaditya Ramdas
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Composing Normalizing Flows for Inverse Problems
In Poster Session 3
Jay Whang · Erik Lindgren · Alexandros Dimakis
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
An exact solver for the Weston-Watkins SVM subproblem
In Poster Session 3
Yutong Wang · Clay Scott
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Parametric Graph for Unimodal Ranking Bandit
In Poster Session 3
Camille-Sovanneary GAUTHIER · Romaric Gaudel · Elisa Fromont · Boammani Aser Lompo
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Relative Deviation Margin Bounds
In Poster Session 3
Corinna Cortes · Mehryar Mohri · Ananda Theertha Suresh
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
Sawtooth Factorial Topic Embeddings Guided Gamma Belief Network
In Poster Session 3
Zhibin Duan · Dongsheng Wang · Bo Chen · CHAOJIE WANG · Wenchao Chen · yewen li · Jie Ren · Mingyuan Zhou
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
An Algorithm for Stochastic and Adversarial Bandits with Switching Costs
In Poster Session 3
Chloé Rouyer · Yevgeny Seldin · Nicolò Cesa-Bianchi
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Learning Queueing Policies for Organ Transplantation Allocation using Interpretable Counterfactual Survival Analysis
In Poster Session 3
Jeroen Berrevoets · Ahmed Alaa · Zhaozhi Qian · James Jordon · alexander gimson · Mihaela van der Schaar
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Tightening the Dependence on Horizon in the Sample Complexity of Q-Learning
In Poster Session 3
Gen Li · Changxiao Cai · Yuxin Chen · Yuantao Gu · Yuting Wei · Yuejie Chi
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
MARINA: Faster Non-Convex Distributed Learning with Compression
In Poster Session 3
Eduard Gorbunov · Konstantin Burlachenko · Zhize Li · Peter Richtarik
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Robust Inference for High-Dimensional Linear Models via Residual Randomization
In Poster Session 3
Y. Samuel Wang · Si Kai Lee · Panos Toulis · Mladen Kolar
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
XOR-CD: Linearly Convergent Constrained Structure Generation
In Poster Session 3
Fan Ding · Jianzhu Ma · Jinbo Xu · Yexiang Xue
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
Elastic Graph Neural Networks
In Poster Session 3
Xiaorui Liu · Wei Jin · Yao Ma · Yaxin Li · Hua Liu · Yiqi Wang · Ming Yan · Jiliang Tang
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Learning from Nested Data with Ornstein Auto-Encoders
In Poster Session 3
Youngwon Choi · Sungdong Lee · Joong-Ho (Johann) Won
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Learning to Price Against a Moving Target
In Poster Session 3
Renato Leme · Balasubramanian Sivan · Yifeng Teng · Pratik Worah
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
Bilinear Classes: A Structural Framework for Provable Generalization in RL
In Poster Session 3
Simon Du · Sham Kakade · Jason Lee · Shachar Lovett · Gaurav Mahajan · Wen Sun · Ruosong Wang
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Characterizing the Gap Between Actor-Critic and Policy Gradient
In Poster Session 3
Junfeng Wen · Saurabh Kumar · Ramki Gummadi · Dale Schuurmans
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Faster Kernel Matrix Algebra via Density Estimation
In Poster Session 3
Arturs Backurs · Piotr Indyk · Cameron Musco · Tal Wagner
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Exponentially Many Local Minima in Quantum Neural Networks
In Poster Session 3
Xuchen You · Xiaodi Wu
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
Instance-Optimal Compressed Sensing via Posterior Sampling
In Poster Session 3
Ajil Jalal · Sushrut Karmalkar · Alexandros Dimakis · Eric Price
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Tight Bounds on the Smallest Eigenvalue of the Neural Tangent Kernel for Deep ReLU Networks
In Poster Session 3
Quynh Nguyen · Marco Mondelli · Guido Montufar
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
Batch Value-function Approximation with Only Realizability
In Poster Session 3
Tengyang Xie · Nan Jiang
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
ARMS: Antithetic-REINFORCE-Multi-Sample Gradient for Binary Variables
In Poster Session 3
Alek Dimitriev · Mingyuan Zhou
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
Generalization Bounds in the Presence of Outliers: a Median-of-Means Study
In Poster Session 3
Pierre Laforgue · Guillaume Staerman · Stephan Clémençon
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
Path Planning using Neural A* Search
In Poster Session 3
Ryo Yonetani · Tatsunori Taniai · Mohammadamin Barekatain · Mai Nishimura · Asako Kanezaki
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Proximal Causal Learning with Kernels: Two-Stage Estimation and Moment Restriction
In Poster Session 3
Afsaneh Mastouri · Yuchen Zhu · Limor Gultchin · Anna Korba · Ricardo Silva · Matt J. Kusner · Arthur Gretton · Krikamol Muandet
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
A Regret Minimization Approach to Iterative Learning Control
In Poster Session 3
Naman Agarwal · Elad Hazan · Anirudha Majumdar · Karan Singh
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
Spectral Normalisation for Deep Reinforcement Learning: An Optimisation Perspective
In Poster Session 3
Florin Gogianu · Tudor Berariu · Mihaela Rosca · Claudia Clopath · Lucian Busoniu · Razvan Pascanu
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
Tractable structured natural-gradient descent using local parameterizations
In Poster Session 3
Wu Lin · Frank Nielsen · Khan Emtiyaz · Mark Schmidt
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
A Lower Bound for the Sample Complexity of Inverse Reinforcement Learning
In Poster Session 3
Abi Komanduru · Jean Honorio
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Debiasing a First-order Heuristic for Approximate Bi-level Optimization
In Poster Session 3
Valerii Likhosherstov · Xingyou Song · Krzysztof Choromanski · Jared Quincy Davis · Adrian Weller
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Training Data Subset Selection for Regression with Controlled Generalization Error
In Poster Session 3
Durga S · Rishabh Iyer · Ganesh Ramakrishnan · Abir De
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Measuring Robustness in Deep Learning Based Compressive Sensing
In Poster Session 3
Mohammad Zalbagi Darestani · Akshay Chaudhari · Reinhard Heckel
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Large-Scale Multi-Agent Deep FBSDEs
In Poster Session 3
Tianrong Chen · Ziyi Wang · Ioannis Exarchos · Evangelos Theodorou
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
Ensemble Bootstrapping for Q-Learning
In Poster Session 3
Oren Peer · Chen Tessler · Nadav Merlis · Ron Meir
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Don’t Just Blame Over-parametrization for Over-confidence: Theoretical Analysis of Calibration in Binary Classification
In Poster Session 3
Yu Bai · Song Mei · Huan Wang · Caiming Xiong
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Online Policy Gradient for Model Free Learning of Linear Quadratic Regulators with √T Regret
In Poster Session 3
Asaf Cassel · Tomer Koren
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
Factor-analytic inverse regression for high-dimension, small-sample dimensionality reduction
In Poster Session 3
Aditi Jha · Michael J. Morais · Jonathan Pillow
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
The Lipschitz Constant of Self-Attention
In Poster Session 3
Hyunjik Kim · George Papamakarios · Andriy Mnih
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
Quantifying and Reducing Bias in Maximum Likelihood Estimation of Structured Anomalies
In Poster Session 3
Uthsav Chitra · Kimberly Ding · Jasper C.H. Lee · Benjamin Raphael
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Necessary and sufficient conditions for causal feature selection in time series with latent common causes
In Poster Session 3
Atalanti Mastakouri · Bernhard Schölkopf · Dominik Janzing
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Solving Challenging Dexterous Manipulation Tasks With Trajectory Optimisation and Reinforcement Learning
In Poster Session 3
Henry Charlesworth · Giovanni Montana
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Scaling Multi-Agent Reinforcement Learning with Selective Parameter Sharing
In Poster Session 3
Filippos Christianos · Georgios Papoudakis · Muhammad Arrasy Rahman · Stefano V. Albrecht
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Theory of Spectral Method for Union of Subspaces-Based Random Geometry Graph
In Poster Session 3
Gen Li · Yuantao Gu
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Kernel-Based Reinforcement Learning: A Finite-Time Analysis
In Poster Session 3
Omar Darwiche Domingues · Pierre Menard · Matteo Pirotta · Emilie Kaufmann · Michal Valko
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Learning Stochastic Behaviour from Aggregate Data
In Poster Session 3
Shaojun Ma · Shu Liu · Hongyuan Zha · Haomin Zhou
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
Learning from History for Byzantine Robust Optimization
In Poster Session 3
Sai Praneeth Reddy Karimireddy · Lie He · Martin Jaggi
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
How Do Adam and Training Strategies Help BNNs Optimization
In Poster Session 3
Zechun Liu · Zhiqiang Shen · Shichao Li · Koen Helwegen · Dong Huang · Kwang-Ting Cheng
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
On the Proof of Global Convergence of Gradient Descent for Deep ReLU Networks with Linear Widths
In Poster Session 3
Quynh Nguyen
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Regret Minimization in Stochastic Non-Convex Learning via a Proximal-Gradient Approach
In Poster Session 3
Nadav Hallak · Panayotis Mertikopoulos · Volkan Cevher
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Toward Understanding the Feature Learning Process of Self-supervised Contrastive Learning
In Poster Session 3
Zixin Wen · Yuanzhi Li
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Continuous-time Model-based Reinforcement Learning
In Poster Session 3
Cagatay Yildiz · Markus Heinonen · Harri Lähdesmäki
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Off-Belief Learning
In Poster Session 3
Hengyuan Hu · Adam Lerer · Brandon Cui · Luis Pineda · Noam Brown · Jakob Foerster
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Unsupervised Skill Discovery with Bottleneck Option Learning
In Poster Session 3
Jaekyeom Kim · Seohong Park · Gunhee Kim
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
Conditional Distributional Treatment Effect with Kernel Conditional Mean Embeddings and U-Statistic Regression
In Poster Session 3
Junhyung Park · Uri Shalit · Bernhard Schölkopf · Krikamol Muandet
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Generalization Guarantees for Neural Architecture Search with Train-Validation Split
In Poster Session 3
Samet Oymak · Mingchen Li · Mahdi Soltanolkotabi
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Homomorphic Sensing: Sparsity and Noise
In Poster Session 3
Liangzu Peng · Boshi Wang · Manolis Tsakiris
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
Distributed Nystr\"{o}m Kernel Learning with Communications
In Poster Session 3
Rong Yin · Weiping Wang · Dan Meng
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
Group-Sparse Matrix Factorization for Transfer Learning of Word Embeddings
In Poster Session 3
Kan Xu · Xuanyi Zhao · Hamsa Bastani · Osbert Bastani
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
Joint Online Learning and Decision-making via Dual Mirror Descent
In Poster Session 3
Alfonso Lobos Ruiz · Paul Grigas · Zheng Wen
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
Approximating a Distribution Using Weight Queries
In Poster Session 3
Nadav Barak · Sivan Sabato
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Variance Reduced Training with Stratified Sampling for Forecasting Models
In Poster Session 3
Yucheng Lu · Youngsuk Park · Lifan Chen · Yuyang Wang · Christopher De Sa · Dean Foster
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
SMG: A Shuffling Gradient-Based Method with Momentum
In Poster Session 3
Trang Tran · Lam Nguyen · Quoc Tran-Dinh
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
When All We Need is a Piece of the Pie: A Generic Framework for Optimizing Two-way Partial AUC
In Poster Session 3
Zhiyong Yang · Qianqian Xu · Shilong Bao · Yuan He · Xiaochun Cao · Qingming Huang
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
ProGraML: A Graph-based Program Representation for Data Flow Analysis and Compiler Optimizations
In Poster Session 3
Chris Cummins · Zacharias Fisches · Tal Ben-Nun · Torsten Hoefler · Michael O'Boyle · Hugh Leather
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
Improved Confidence Bounds for the Linear Logistic Model and Applications to Bandits
In Poster Session 3
Kwang-Sung Jun · Lalit Jain · Blake Mason · Houssam Nassif
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
Selecting Data Augmentation for Simulating Interventions
In Poster Session 3
Maximilian Ilse · Jakub Tomczak · Patrick Forré
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning
In Poster Session 3
Kimin Lee · Michael Laskin · Aravind Srinivas · Pieter Abbeel
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Learning from Noisy Labels with No Change to the Training Process
In Poster Session 3
Mingyuan Zhang · Jane Lee · Shivani Agarwal
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Principled Exploration via Optimistic Bootstrapping and Backward Induction
In Poster Session 3
Chenjia Bai · Lingxiao Wang · Lei Han · Jianye Hao · Animesh Garg · Peng Liu · Zhaoran Wang
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
On Reward-Free RL with Kernel and Neural Function Approximations: Single-Agent MDP and Markov Game
In Poster Session 3
Shuang Qiu · Jieping Ye · Zhaoran Wang · Zhuoran Yang
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
Grounding Language to Entities and Dynamics for Generalization in Reinforcement Learning
In Poster Session 3
Austin W. Hanjie · Victor Zhong · Karthik Narasimhan
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Provably Efficient Fictitious Play Policy Optimization for Zero-Sum Markov Games with Structured Transitions
In Poster Session 3
Shuang Qiu · Xiaohan Wei · Jieping Ye · Zhaoran Wang · Zhuoran Yang
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Multiplying Matrices Without Multiplying
In Poster Session 3
Davis Blalock · John Guttag
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Revenue-Incentive Tradeoffs in Dynamic Reserve Pricing
In Poster Session 3
Yuan Deng · Sébastien Lahaie · Vahab Mirrokni · Song Zuo
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Nonparametric Hamiltonian Monte Carlo
In Poster Session 3
Carol Mak · Fabian Zaiser · Luke Ong
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
Robust Reinforcement Learning using Least Squares Policy Iteration with Provable Performance Guarantees
In Poster Session 3
Kishan Panaganti · Dileep Kalathil
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
Dynamic Game Theoretic Neural Optimizer
In Poster Session 3
Guan-Horng Liu · Tianrong Chen · Evangelos Theodorou
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Align, then memorise: the dynamics of learning with feedback alignment
In Poster Session 3
Maria Refinetti · Stéphane d'Ascoli · Ruben Ohana · Sebastian Goldt
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
On Energy-Based Models with Overparametrized Shallow Neural Networks
In Poster Session 3
Carles Domingo-Enrich · Alberto Bietti · Eric Vanden-Eijnden · Joan Bruna
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Inferring serial correlation with dynamic backgrounds
In Poster Session 3
Song Wei · Yao Xie · Dobromir Rahnev
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Bayesian Optimistic Optimisation with Exponentially Decaying Regret
In Poster Session 3
Hung Tran-The · Sunil Gupta · Santu Rana · Svetha Venkatesh
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
Guarantees for Tuning the Step Size using a Learning-to-Learn Approach
In Poster Session 3
Xiang Wang · Shuai Yuan · Chenwei Wu · Rong Ge
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
The Limits of Min-Max Optimization Algorithms: Convergence to Spurious Non-Critical Sets
In Poster Session 3
Ya-Ping Hsieh · Panayotis Mertikopoulos · Volkan Cevher
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
Megaverse: Simulating Embodied Agents at One Million Experiences per Second
In Poster Session 3
Aleksei Petrenko · Erik Wijmans · Brennan Shacklett · Vladlen Koltun
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Uncertainty Principles of Encoding GANs
In Poster Session 3
Ruili Feng · Zhouchen Lin · Jiapeng Zhu · Deli Zhao · Jingren Zhou · Zheng-Jun Zha
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Global Convergence of Policy Gradient for Linear-Quadratic Mean-Field Control/Game in Continuous Time
In Poster Session 3
Weichen Wang · Jiequn Han · Zhuoran Yang · Zhaoran Wang
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Towards the Unification and Robustness of Perturbation and Gradient Based Explanations
In Poster Session 3
Sushant Agarwal · Shahin Jabbari · Chirag Agarwal · Sohini Upadhyay · Steven Wu · Hima Lakkaraju
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
SimAM: A Simple, Parameter-Free Attention Module for Convolutional Neural Networks
In Poster Session 3
Lingxiao YANG · Ru-Yuan Zhang · Lida LI · Xiaohua Xie
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
Revealing the Structure of Deep Neural Networks via Convex Duality
In Poster Session 3
Tolga Ergen · Mert Pilanci
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Exact Gap between Generalization Error and Uniform Convergence in Random Feature Models
In Poster Session 3
Zitong Yang · Yu Bai · Song Mei
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Evaluating Robustness of Predictive Uncertainty Estimation: Are Dirichlet-based Models Reliable?
In Poster Session 3
Anna-Kathrin Kopetzki · Bertrand Charpentier · Daniel Zügner · Sandhya Giri · Stephan Günnemann
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
On Reinforcement Learning with Adversarial Corruption and Its Application to Block MDP
In Poster Session 3
Tianhao Wu · Yunchang Yang · Simon Du · Liwei Wang
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
Fairness and Bias in Online Selection
In Poster Session 3
Jose Correa · Andres Cristi · Paul Duetting · Ashkan Norouzi-Fard
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Descending through a Crowded Valley - Benchmarking Deep Learning Optimizers
In Poster Session 3
Robin M Schmidt · Frank Schneider · Philipp Hennig
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Opening the Blackbox: Accelerating Neural Differential Equations by Regularizing Internal Solver Heuristics
In Poster Session 3
Avik Pal · Yingbo Ma · Viral Shah · Christopher Rackauckas
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Online Optimization in Games via Control Theory: Connecting Regret, Passivity and Poincaré Recurrence
In Poster Session 3
Yun Kuen Cheung · Georgios Piliouras
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Narrow Margins: Classification, Margins and Fat Tails
In Poster Session 3
Francois Buet-Golfouse
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
TempoRL: Learning When to Act
In Poster Session 3
André Biedenkapp · Raghu Rajan · Frank Hutter · Marius Lindauer
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Classifying high-dimensional Gaussian mixtures: Where kernel methods fail and neural networks succeed
In Poster Session 3
Maria Refinetti · Sebastian Goldt · FLORENT KRZAKALA · Lenka Zdeborova
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
Reward Identification in Inverse Reinforcement Learning
In Poster Session 3
Kuno Kim · Shivam Garg · Kirankumar Shiragur · Stefano Ermon
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
A Modular Analysis of Provable Acceleration via Polyak's Momentum: Training a Wide ReLU Network and a Deep Linear Network
In Poster Session 3
Jun-Kun Wang · Chi-Heng Lin · Jacob Abernethy
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Dichotomous Optimistic Search to Quantify Human Perception
In Poster Session 3
Julien Audiffren
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Adversarial Option-Aware Hierarchical Imitation Learning
In Poster Session 3
Mingxuan Jing · Wenbing Huang · Fuchun Sun · Xiaojian Ma · Tao Kong · Chuang Gan · Lei Li
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Adversarial Combinatorial Bandits with General Non-linear Reward Functions
In Poster Session 3
Yanjun Han · Yining Wang · Xi Chen
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
APS: Active Pretraining with Successor Features
In Poster Session 3
Hao Liu · Pieter Abbeel
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Zero-Shot Knowledge Distillation from a Decision-Based Black-Box Model
In Poster Session 3
Zi Wang
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Functional Space Analysis of Local GAN Convergence
In Poster Session 3
Valentin Khrulkov · Artem Babenko · Ivan Oseledets
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Deciding What to Learn: A Rate-Distortion Approach
In Poster Session 3
Dilip Arumugam · Benjamin Van Roy
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Cross-domain Imitation from Observations
In Poster Session 3
Dripta S. Raychaudhuri · Sujoy Paul · Jeroen Vanbaar · Amit Roy-Chowdhury
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
Learning Randomly Perturbed Structured Predictors for Direct Loss Minimization
In Poster Session 3
Hedda Cohen Indelman · Tamir Hazan
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
How to Learn when Data Reacts to Your Model: Performative Gradient Descent
In Poster Session 3
Zachary Izzo · Lexing Ying · James Zou
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
Continuous Coordination As a Realistic Scenario for Lifelong Learning
In Poster Session 3
Hadi Nekoei · Akilesh Badrinaaraayanan · Aaron Courville · Sarath Chandar
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Efficient Performance Bounds for Primal-Dual Reinforcement Learning from Demonstrations
In Poster Session 3
Angeliki Kamoutsi · Goran Banjac · John Lygeros
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Bootstrapping Fitted Q-Evaluation for Off-Policy Inference
In Poster Session 3
Botao Hao · Xiang Ji · Yaqi Duan · Hao Lu · Csaba Szepesvari · Mengdi Wang
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
Post-selection inference with HSIC-Lasso
In Poster Session 3
Tobias Freidling · Benjamin Poignard · Héctor Climente-González · Makoto Yamada
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Understanding Instance-Level Label Noise: Disparate Impacts and Treatments
In Poster Session 3
Yang Liu
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Representational aspects of depth and conditioning in normalizing flows
In Poster Session 3
Frederic Koehler · Viraj Mehta · Andrej Risteski
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Fast Algorithms for Stackelberg Prediction Game with Least Squares Loss
In Poster Session 3
Jiali Wang · He Chen · Rujun Jiang · Xudong Li · Zihao Li
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
High-dimensional Experimental Design and Kernel Bandits
In Poster Session 3
Romain Camilleri · Kevin Jamieson · Julian Katz-Samuels
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
Intermediate Layer Optimization for Inverse Problems using Deep Generative Models
In Poster Session 3
Giannis Daras · Joseph Dean · Ajil Jalal · Alexandros Dimakis
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
The Power of Log-Sum-Exp: Sequential Density Ratio Matrix Estimation for Speed-Accuracy Optimization
In Poster Session 3
Taiki Miyagawa · Akinori Ebihara
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Modelling Behavioural Diversity for Learning in Open-Ended Games
In Poster Session 3
Nicolas Perez-Nieves · Yaodong Yang · Oliver Slumbers · David Mguni · Ying Wen · Jun Wang
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
Towards Rigorous Interpretations: a Formalisation of Feature Attribution
In Poster Session 3
Darius Afchar · Vincent Guigue · Romain Hennequin
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
The Logical Options Framework
In Poster Session 3
Brandon Araki · Xiao Li · Kiran Vodrahalli · Jonathan DeCastro · Micah Fry · Daniela Rus
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
Self-Paced Context Evaluation for Contextual Reinforcement Learning
In Poster Session 3
Theresa Eimer · André Biedenkapp · Frank Hutter · Marius Lindauer
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Active Deep Probabilistic Subsampling
In Poster Session 3
Hans van Gorp · Iris Huijben · Bastiaan Veeling · Nicola Pezzotti · Ruud J. G. van Sloun
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
A Nullspace Property for Subspace-Preserving Recovery
In Poster Session 3
Mustafa D Kaba · Chong You · Daniel Robinson · Enrique Mallada · Rene Vidal
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
Agnostic Learning of Halfspaces with Gradient Descent via Soft Margins
In Poster Session 3
Spencer Frei · Yuan Cao · Quanquan Gu
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Finite-Sample Analysis of Off-Policy Natural Actor-Critic Algorithm
In Poster Session 3
sajad khodadadian · Zaiwei Chen · Siva Maguluri
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
The Hintons in your Neural Network: a Quantum Field Theory View of Deep Learning
In Poster Session 3
Roberto Bondesan · Max Welling
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
ChaCha for Online AutoML
In Poster Session 3
Qingyun Wu · Chi Wang · John Langford · Paul Mineiro · Marco Rossi
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Spectral vertex sparsifiers and pair-wise spanners over distributed graphs
In Poster Session 3
Chunjiang Zhu · Qinqing Liu · Jinbo Bi
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Learning in Nonzero-Sum Stochastic Games with Potentials
In Poster Session 3
David Mguni · Yutong Wu · Yali Du · Yaodong Yang · Ziyi Wang · Minne Li · Ying Wen · Joel Jennings · Jun Wang
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
Risk Bounds and Rademacher Complexity in Batch Reinforcement Learning
In Poster Session 3
Yaqi Duan · Chi Jin · Zhiyuan Li
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
AGENT: A Benchmark for Core Psychological Reasoning
In Poster Session 3
Tianmin Shu · Abhishek Bhandwaldar · Chuang Gan · Kevin Smith · Shari Liu · Dan Gutfreund · Elizabeth Spelke · Josh Tenenbaum · Tomer Ullman
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Robust Density Estimation from Batches: The Best Things in Life are (Nearly) Free
In Poster Session 3
Ayush Jain · Alon Orlitsky
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Optimizing persistent homology based functions
In Poster Session 3
Mathieu Carrière · Frederic Chazal · Marc Glisse · Yuichi Ike · Hariprasad Kannan · Yuhei Umeda
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Model-based Reinforcement Learning for Continuous Control with Posterior Sampling
In Poster Session 3
Ying Fan · Yifei Ming
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
TeachMyAgent: a Benchmark for Automatic Curriculum Learning in Deep RL
In Poster Session 3
Clément Romac · Rémy Portelas · Katja Hofmann · Pierre-Yves Oudeyer
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Stochastic Multi-Armed Bandits with Unrestricted Delay Distributions
In Poster Session 3
Tal Lancewicki · Shahar Segal · Tomer Koren · Yishay Mansour
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
Towards Open Ad Hoc Teamwork Using Graph-based Policy Learning
In Poster Session 3
Muhammad Arrasy Rahman · Niklas Hopner · Filippos Christianos · Stefano V. Albrecht
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Approximate Group Fairness for Clustering
In Poster Session 3
Bo Li · Lijun Li · Ankang Sun · Chenhao Wang · Yingfan Wang
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
On the Implicit Bias of Initialization Shape: Beyond Infinitesimal Mirror Descent
In Poster Session 3
Shahar Azulay · Edward Moroshko · Mor Shpigel Nacson · Blake Woodworth · Nati Srebro · Amir Globerson · Daniel Soudry
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Accelerating Safe Reinforcement Learning with Constraint-mismatched Baseline Policies
In Poster Session 3
Jimmy Yang · Justinian Rosca · Karthik Narasimhan · Peter Ramadge
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
SiameseXML: Siamese Networks meet Extreme Classifiers with 100M Labels
In Poster Session 3
Kunal Dahiya · Ananye Agarwal · Deepak Saini · Gururaj K · Jian Jiao · Amit Singh · Sumeet Agarwal · Purushottam Kar · Manik Varma
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
Near Optimal Reward-Free Reinforcement Learning
In Poster Session 3
Zhang Zihan · Simon Du · Xiangyang Ji
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT) @ Virtual
Active Feature Acquisition with Generative Surrogate Models
In Poster Session 3
Yang Li · Junier Oliva
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Kernel Continual Learning
In Poster Session 3
Mohammad Mahdi Derakhshani · Xiantong Zhen · Ling Shao · Cees Snoek
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Improving Molecular Graph Neural Network Explainability with Orthonormalization and Induced Sparsity
In Poster Session 3
Ryan Henderson · Djork-Arné Clevert · Floriane Montanari
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
State Relevance for Off-Policy Evaluation
In Poster Session 3
Simon Shen · Jason Yecheng Ma · Omer Gottesman · Finale Doshi-Velez
Poster
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
One for One, or All for All: Equilibria and Optimality of Collaboration in Federated Learning
In Poster Session 3
Avrim Blum · Nika Haghtalab · Richard Lanas Phillips · Han Shao
Session
Wed Jul 21 09:00 AM -- 11:00 AM (PDT)
Poster Session 3
Oral
Wed Jul 21 05:00 PM -- 05:20 PM (PDT)
Rate-Distortion Analysis of Minimum Excess Risk in Bayesian Learning
In Learning Theory 8
Hassan Hafez-Kolahi · Behrad Moniri · Shohreh Kasaei · Mahdieh Soleymani Baghshah
[ Paper ]
Oral
Wed Jul 21 05:00 PM -- 05:20 PM (PDT)
Online Unrelated Machine Load Balancing with Predictions Revisited
In Online Learning 2
Shi Li · Jiayi Xian
[ Paper ]
Oral
Wed Jul 21 05:00 PM -- 05:20 PM (PDT)
Exponential Lower Bounds for Batch Reinforcement Learning: Batch RL can be Exponentially Harder than Online RL
In Reinforcement Learning Theory 2
Andrea Zanette
[ Paper ]
Oral
Wed Jul 21 05:00 PM -- 05:20 PM (PDT)
Understanding self-supervised learning dynamics without contrastive pairs
In Deep Learning Optimization
Yuandong Tian · Xinlei Chen · Surya Ganguli
[ Paper ]
Oral
Wed Jul 21 05:00 PM -- 05:20 PM (PDT)
UCB Momentum Q-learning: Correcting the bias without forgetting
In Reinforcement Learning Theory 3
Pierre Menard · Omar Darwiche Domingues · Xuedong Shang · Michal Valko
[ Paper ]
Oral
Wed Jul 21 05:00 PM -- 05:20 PM (PDT)
The Symmetry between Arms and Knapsacks: A Primal-Dual Approach for Bandits with Knapsacks
In Bandits 2
Xiaocheng Li · Chunlin Sun · Yinyu Ye
[ Paper ]
Oral
Wed Jul 21 05:00 PM -- 05:20 PM (PDT)
The Implicit Bias for Adaptive Optimization Algorithms on Homogeneous Neural Networks
In Deep Learning Theory 4
Bohan Wang · Qi Meng · Wei Chen · Tie-Yan Liu
[ Paper ]
Oral
Wed Jul 21 05:00 PM -- 05:20 PM (PDT)
Learning Optimal Auctions with Correlated Valuations from Samples
In Learning Theory 7
CHUNXUE YANG · Xiaohui Bei
[ Paper ]
Oral
Wed Jul 21 05:00 PM -- 05:20 PM (PDT)
Label Distribution Learning Machine
In Supervised Learning 3
Jing Wang · Xin Geng
[ Paper ]
Spotlight
Wed Jul 21 05:20 PM -- 05:25 PM (PDT)
Non-Exponentially Weighted Aggregation: Regret Bounds for Unbounded Loss Functions
In Reinforcement Learning Theory 3
Pierre Alquier
[ Paper ]
Spotlight
Wed Jul 21 05:20 PM -- 05:25 PM (PDT)
Representation Matters: Assessing the Importance of Subgroup Allocations in Training Data
In Supervised Learning 3
Esther Rolf · Theodora Worledge · Benjamin Recht · Michael Jordan
[ Paper ]
Spotlight
Wed Jul 21 05:20 PM -- 05:25 PM (PDT)
Dynamic Planning and Learning under Recovering Rewards
In Bandits 2
David Simchi-Levi · Zeyu Zheng · Feng Zhu
[ Paper ]
Spotlight
Wed Jul 21 05:20 PM -- 05:25 PM (PDT)
Asymmetric Heavy Tails and Implicit Bias in Gaussian Noise Injections
In Deep Learning Theory 4
Alexander D Camuto · Xiaoyu Wang · Lingjiong Zhu · Christopher Holmes · Mert Gurbuzbalaban · Umut Simsekli
[ Paper ]
Spotlight
Wed Jul 21 05:20 PM -- 05:25 PM (PDT)
Learning by Turning: Neural Architecture Aware Optimisation
In Deep Learning Optimization
Yang Liu · Jeremy Bernstein · Markus Meister · Yisong Yue
[ Paper ]
Spotlight
Wed Jul 21 05:20 PM -- 05:25 PM (PDT)
Near-Optimal Linear Regression under Distribution Shift
In Learning Theory 8
Qi Lei · Wei Hu · Jason Lee
[ Paper ]
Spotlight
Wed Jul 21 05:20 PM -- 05:25 PM (PDT)
MOTS: Minimax Optimal Thompson Sampling
In Online Learning 2
Tianyuan Jin · Pan Xu · Jieming Shi · Xiaokui Xiao · Quanquan Gu
[ Paper ]
Spotlight
Wed Jul 21 05:20 PM -- 05:25 PM (PDT)
Provably Efficient Reinforcement Learning for Discounted MDPs with Feature Mapping
In Reinforcement Learning Theory 2
Dongruo Zhou · Jiafan He · Quanquan Gu
[ Paper ]
Spotlight
Wed Jul 21 05:20 PM -- 05:25 PM (PDT)
Alternative Microfoundations for Strategic Classification
In Learning Theory 7
Meena Jagadeesan · Celestine Mendler-Dünner · Moritz Hardt
[ Paper ]
Spotlight
Wed Jul 21 05:25 PM -- 05:30 PM (PDT)
Best Arm Identification in Graphical Bilinear Bandits
In Bandits 2
Geovani Rizk · Albert Thomas · Igor Colin · Rida Laraki · Yann Chevaleyre
[ Paper ]
Spotlight
Wed Jul 21 05:25 PM -- 05:30 PM (PDT)
Consensus Control for Decentralized Deep Learning
In Deep Learning Optimization
Lingjing Kong · Tao Lin · Anastasiia Koloskova · Martin Jaggi · Sebastian Stich
[ Paper ]
Spotlight
Wed Jul 21 05:25 PM -- 05:30 PM (PDT)
Confidence-Budget Matching for Sequential Budgeted Learning
In Reinforcement Learning Theory 2
Yonathan Efroni · Nadav Merlis · Aadirupa Saha · Shie Mannor
[ Paper ]
Spotlight
Wed Jul 21 05:25 PM -- 05:30 PM (PDT)
Multi-Receiver Online Bayesian Persuasion
In Learning Theory 7
Matteo Castiglioni · Alberto Marchesi · Andrea Celli · Nicola Gatti
[ Paper ]
Spotlight
Wed Jul 21 05:25 PM -- 05:30 PM (PDT)
Detection of Signal in the Spiked Rectangular Models
In Learning Theory 8
Ji Hyung Jung · Hye Won Chung · Ji Oon Lee
[ Paper ]
Spotlight
Wed Jul 21 05:25 PM -- 05:30 PM (PDT)
Heterogeneous Risk Minimization
In Supervised Learning 3
Jiashuo Liu · Zheyuan Hu · Peng Cui · Bo Li · Zheyan Shen
[ Paper ]
Spotlight
Wed Jul 21 05:25 PM -- 05:30 PM (PDT)
Understanding Noise Injection in GANs
In Deep Learning Theory 4
Ruili Feng · Deli Zhao · Zheng-Jun Zha
[ Paper ]
Spotlight
Wed Jul 21 05:25 PM -- 05:30 PM (PDT)
Adversarial Dueling Bandits
In Reinforcement Learning Theory 3
Aadirupa Saha · Tomer Koren · Yishay Mansour
[ Paper ]
Spotlight
Wed Jul 21 05:25 PM -- 05:30 PM (PDT)
Regularized Online Allocation Problems: Fairness and Beyond
In Online Learning 2
Santiago Balseiro · Haihao Lu · Vahab Mirrokni
[ Paper ]
Spotlight
Wed Jul 21 05:30 PM -- 05:35 PM (PDT)
Optimizing Black-box Metrics with Iterative Example Weighting
In Supervised Learning 3
Gaurush Hiranandani · Jatin Mathur · Harikrishna Narasimhan · Mahdi Milani Fard · Sanmi Koyejo
[ Paper ]
Spotlight
Wed Jul 21 05:30 PM -- 05:35 PM (PDT)
Sample Efficient Reinforcement Learning In Continuous State Spaces: A Perspective Beyond Linearity
In Reinforcement Learning Theory 2
Dhruv Malik · Aldo Pacchiano · Vishwak Srinivasan · Yuanzhi Li
[ Paper ]
Spotlight
Wed Jul 21 05:30 PM -- 05:35 PM (PDT)
Achieving Near Instance-Optimality and Minimax-Optimality in Stochastic and Adversarial Linear Bandits Simultaneously
In Bandits 2
Chung-Wei Lee · Haipeng Luo · Chen-Yu Wei · Mengxiao Zhang · Xiaojin Zhang
[ Paper ]
Spotlight
Wed Jul 21 05:30 PM -- 05:35 PM (PDT)
Online Learning for Load Balancing of Unknown Monotone Resource Allocation Games
In Learning Theory 7
Ilai Bistritz · Nicholas Bambos
[ Paper ]
Spotlight
Wed Jul 21 05:30 PM -- 05:35 PM (PDT)
Selfish Sparse RNN Training
In Deep Learning Optimization
Shiwei Liu · Decebal Mocanu · Yulong Pei · Mykola Pechenizkiy
[ Paper ]
Spotlight
Wed Jul 21 05:30 PM -- 05:35 PM (PDT)
Fast active learning for pure exploration in reinforcement learning
In Reinforcement Learning Theory 3
Pierre Menard · Omar Darwiche Domingues · Anders Jonsson · Emilie Kaufmann · Edouard Leurent · Michal Valko
[ Paper ]
Spotlight
Wed Jul 21 05:30 PM -- 05:35 PM (PDT)
FL-NTK: A Neural Tangent Kernel-based Framework for Federated Learning Analysis
In Deep Learning Theory 4
Baihe Huang · Xiaoxiao Li · Zhao Song · Xin Yang
[ Paper ]
Spotlight
Wed Jul 21 05:30 PM -- 05:35 PM (PDT)
A Distribution-dependent Analysis of Meta Learning
In Learning Theory 8
Mikhail Konobeev · Ilja Kuzborskij · Csaba Szepesvari
[ Paper ]
Spotlight
Wed Jul 21 05:30 PM -- 05:35 PM (PDT)
Near-Optimal Representation Learning for Linear Bandits and Linear RL
In Online Learning 2
Jiachen Hu · Xiaoyu Chen · Chi Jin · Lihong Li · Liwei Wang
[ Paper ]
Spotlight
Wed Jul 21 05:35 PM -- 05:40 PM (PDT)
Catastrophic Fisher Explosion: Early Phase Fisher Matrix Impacts Generalization
In Deep Learning Optimization
Stanislaw Jastrzebski · Devansh Arpit · Oliver Astrand · Giancarlo Kerg · Huan Wang · Caiming Xiong · Richard Socher · Kyunghyun Cho · Krzysztof J Geras
[ Paper ]
Spotlight
Wed Jul 21 05:35 PM -- 05:40 PM (PDT)
Incentivized Bandit Learning with Self-Reinforcing User Preferences
In Bandits 2
Tianchen Zhou · Jia Liu · Chaosheng Dong · jingyuan deng
[ Paper ]
Spotlight
Wed Jul 21 05:35 PM -- 05:40 PM (PDT)
A theory of high dimensional regression with arbitrary correlations between input features and target functions: sample complexity, multiple descent curves and a hierarchy of phase transitions
In Supervised Learning 3
Gabriel Mel · Surya Ganguli
[ Paper ]
Spotlight
Wed Jul 21 05:35 PM -- 05:40 PM (PDT)
Sparse Feature Selection Makes Batch Reinforcement Learning More Sample Efficient
In Reinforcement Learning Theory 2
Botao Hao · Yaqi Duan · Tor Lattimore · Csaba Szepesvari · Mengdi Wang
[ Paper ]
Spotlight
Wed Jul 21 05:35 PM -- 05:40 PM (PDT)
Leveraging Non-uniformity in First-order Non-convex Optimization
In Reinforcement Learning Theory 3
Jincheng Mei · Yue Gao · Bo Dai · Csaba Szepesvari · Dale Schuurmans
[ Paper ]
Spotlight
Wed Jul 21 05:35 PM -- 05:40 PM (PDT)
Improved Corruption Robust Algorithms for Episodic Reinforcement Learning
In Online Learning 2
Yifang Chen · Simon Du · Kevin Jamieson
[ Paper ]
Spotlight
Wed Jul 21 05:35 PM -- 05:40 PM (PDT)
How Important is the Train-Validation Split in Meta-Learning?
In Learning Theory 8
Yu Bai · Minshuo Chen · Pan Zhou · Tuo Zhao · Jason Lee · Sham Kakade · Huan Wang · Caiming Xiong
[ Paper ]
Spotlight
Wed Jul 21 05:35 PM -- 05:40 PM (PDT)
Compressed Maximum Likelihood
In Learning Theory 7
Yi Hao · Alon Orlitsky
[ Paper ]
Spotlight
Wed Jul 21 05:35 PM -- 05:40 PM (PDT)
Improved OOD Generalization via Adversarial Training and Pretraing
In Deep Learning Theory 4
Mingyang Yi · Lu Hou · Jiacheng Sun · Lifeng Shang · Xin Jiang · Qun Liu · Zhiming Ma
[ Paper ]
Spotlight
Wed Jul 21 05:40 PM -- 05:45 PM (PDT)
WGAN with an Infinitely Wide Generator Has No Spurious Stationary Points
In Deep Learning Theory 4
Albert No · TaeHo Yoon · Sehyun Kwon · Ernest Ryu
[ Paper ]
Spotlight
Wed Jul 21 05:40 PM -- 05:45 PM (PDT)
Robust Unsupervised Learning via L-statistic Minimization
In Learning Theory 8
Andreas Maurer · Daniela Angela Parletta · Andrea Paudice · Massimiliano Pontil
[ Paper ]
Spotlight
Wed Jul 21 05:40 PM -- 05:45 PM (PDT)
Probabilistic Programs with Stochastic Conditioning
In Reinforcement Learning Theory 3
David Tolpin · Yuan Zhou · Tom Rainforth · Hongseok Yang
[ Paper ]
Spotlight
Wed Jul 21 05:40 PM -- 05:45 PM (PDT)
Quasi-global Momentum: Accelerating Decentralized Deep Learning on Heterogeneous Data
In Deep Learning Optimization
Tao Lin · Sai Praneeth Reddy Karimireddy · Sebastian Stich · Martin Jaggi
[ Paper ]
Spotlight
Wed Jul 21 05:40 PM -- 05:45 PM (PDT)
Consistent regression when oblivious outliers overwhelm
In Learning Theory 7
Tommaso d'Orsi · Gleb Novikov · David Steurer
[ Paper ]
Spotlight
Wed Jul 21 05:40 PM -- 05:45 PM (PDT)
Approximation Theory Based Methods for RKHS Bandits
In Bandits 2
Sho Takemori · Masahiro Sato
[ Paper ]
Spotlight
Wed Jul 21 05:40 PM -- 05:45 PM (PDT)
DriftSurf: Stable-State / Reactive-State Learning under Concept Drift
In Online Learning 2
Ashraf Tahmasbi · Ellango Jothimurugesan · Srikanta Tirthapura · Phillip Gibbons
[ Paper ]
Spotlight
Wed Jul 21 05:40 PM -- 05:45 PM (PDT)
Robust Policy Gradient against Strong Data Corruption
In Reinforcement Learning Theory 2
Xuezhou Zhang · Yiding Chen · Jerry Zhu · Wen Sun
[ Paper ]
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Wed Jul 21 05:40 PM -- 05:45 PM (PDT)
How Does Loss Function Affect Generalization Performance of Deep Learning? Application to Human Age Estimation
In Supervised Learning 3
Ali Akbari · Muhammad Awais · Manijeh Bashar · Josef Kittler
[ Paper ]
Q&A
Wed Jul 21 05:45 PM -- 05:50 PM (PDT)
Q&A
In Reinforcement Learning Theory 3
Spotlight
Wed Jul 21 05:45 PM -- 05:50 PM (PDT)
Understanding the Dynamics of Gradient Flow in Overparameterized Linear models
In Deep Learning Optimization
Salma Tarmoun · Guilherme Franca · Benjamin Haeffele · Rene Vidal
[ Paper ]
Spotlight
Wed Jul 21 05:45 PM -- 05:50 PM (PDT)
Besov Function Approximation and Binary Classification on Low-Dimensional Manifolds Using Convolutional Residual Networks
In Deep Learning Theory 4
Hao Liu · Minshuo Chen · Tuo Zhao · Wenjing Liao
[ Paper ]
Spotlight
Wed Jul 21 05:45 PM -- 05:50 PM (PDT)
Online Submodular Resource Allocation with Applications to Rebalancing Shared Mobility Systems
In Online Learning 2
Pier Giuseppe Sessa · Ilija Bogunovic · Andreas Krause · Maryam Kamgarpour
[ Paper ]
Spotlight
Wed Jul 21 05:45 PM -- 05:50 PM (PDT)
A Theory of Label Propagation for Subpopulation Shift
In Learning Theory 8
Tianle Cai · Ruiqi Gao · Jason Lee · Qi Lei
[ Paper ]
Spotlight
Wed Jul 21 05:45 PM -- 05:50 PM (PDT)
Implicit rate-constrained optimization of non-decomposable objectives
In Supervised Learning 3
Abhishek Kumar · Harikrishna Narasimhan · Andrew Cotter
[ Paper ]
Spotlight
Wed Jul 21 05:45 PM -- 05:50 PM (PDT)
Logarithmic Regret for Reinforcement Learning with Linear Function Approximation
In Reinforcement Learning Theory 2
Jiafan He · Dongruo Zhou · Quanquan Gu
[ Paper ]
Spotlight
Wed Jul 21 05:45 PM -- 05:50 PM (PDT)
Asymptotics of Ridge Regression in Convolutional Models
In Learning Theory 7
Mojtaba Sahraee-Ardakan · Tung Mai · Anup Rao · Ryan A. Rossi · Sundeep Rangan · Alyson Fletcher
[ Paper ]
Spotlight
Wed Jul 21 05:45 PM -- 05:50 PM (PDT)
Dynamic Balancing for Model Selection in Bandits and RL
In Bandits 2
Ashok Cutkosky · Christoph Dann · Abhimanyu Das · Claudio Gentile · Aldo Pacchiano · Manish Purohit
[ Paper ]
Q&A
Wed Jul 21 05:50 PM -- 05:55 PM (PDT)
Q&A
In Learning Theory 8
Q&A
Wed Jul 21 05:50 PM -- 05:55 PM (PDT)
Q&A
In Deep Learning Theory 4
Q&A
Wed Jul 21 05:50 PM -- 05:55 PM (PDT)
Q&A
In Learning Theory 7
Q&A
Wed Jul 21 05:50 PM -- 05:55 PM (PDT)
Q&A
In Bandits 2
Q&A
Wed Jul 21 05:50 PM -- 05:55 PM (PDT)
Q&A
In Online Learning 2
Q&A
Wed Jul 21 05:50 PM -- 05:55 PM (PDT)
Q&A
In Deep Learning Optimization
Q&A
Wed Jul 21 05:50 PM -- 05:55 PM (PDT)
Q&A
In Reinforcement Learning Theory 2
Q&A
Wed Jul 21 05:50 PM -- 05:55 PM (PDT)
Q&A
In Supervised Learning 3
Oral
Wed Jul 21 06:00 PM -- 06:20 PM (PDT)
Dissecting Supervised Constrastive Learning
In Deep Learning Theory 5
Florian Graf · Christoph Hofer · Marc Niethammer · Roland Kwitt
[ Paper ]
Oral
Wed Jul 21 06:00 PM -- 06:20 PM (PDT)
Stability and Generalization of Stochastic Gradient Methods for Minimax Problems
In Learning Theory 11
Yunwen Lei · Zhenhuan Yang · Tianbao Yang · Yiming Ying
[ Paper ]
Oral
Wed Jul 21 06:00 PM -- 06:20 PM (PDT)
Cyclically Equivariant Neural Decoders for Cyclic Codes
In Learning Theory 9
Xiangyu Chen · Min Ye
[ Paper ]
Oral
Wed Jul 21 06:00 PM -- 06:20 PM (PDT)
Conformal prediction interval for dynamic time-series
In Time Series 2
Chen Xu · Yao Xie
[ Paper ]
Oral
Wed Jul 21 06:00 PM -- 06:20 PM (PDT)
RATT: Leveraging Unlabeled Data to Guarantee Generalization
In Learning Theory 10
Saurabh Garg · Sivaraman Balakrishnan · Zico Kolter · Zachary Lipton
[ Paper ]
Oral
Wed Jul 21 06:00 PM -- 06:20 PM (PDT)
Provably Efficient Algorithms for Multi-Objective Competitive RL
In Reinforcement Learning Theory 4
Tiancheng Yu · Yi Tian · Jingzhao Zhang · Suvrit Sra
[ Paper ]
Oral
Wed Jul 21 06:00 PM -- 06:20 PM (PDT)
Resource Allocation in Multi-armed Bandit Exploration: Overcoming Sublinear Scaling with Adaptive Parallelism
In Bandits 3
Brijen Thananjeyan · Kirthevasan Kandasamy · Ion Stoica · Michael Jordan · Ken Goldberg · Joseph E Gonzalez
[ Paper ]
Oral
Wed Jul 21 06:00 PM -- 06:20 PM (PDT)
Task-Optimal Exploration in Linear Dynamical Systems
In Reinforcement Learning 14
Andrew Wagenmaker · Max Simchowitz · Kevin Jamieson
[ Paper ]
Oral
Wed Jul 21 06:00 PM -- 06:20 PM (PDT)
Discriminative Complementary-Label Learning with Weighted Loss
In Supervised Learning 4
Yi Gao · Min-Ling Zhang
[ Paper ]
Spotlight
Wed Jul 21 06:20 PM -- 06:25 PM (PDT)
Online Learning in Unknown Markov Games
In Reinforcement Learning Theory 4
Yi Tian · Yuanhao Wang · Tiancheng Yu · Suvrit Sra
[ Paper ]
Spotlight
Wed Jul 21 06:20 PM -- 06:25 PM (PDT)
End-to-End Learning of Coherent Probabilistic Forecasts for Hierarchical Time Series
In Time Series 2
Syama Sundar Yadav Rangapuram · Lucien Werner · Konstantinos Benidis · Pedro Mercado · Jan Gasthaus · Tim Januschowski
[ Paper ]
Spotlight
Wed Jul 21 06:20 PM -- 06:25 PM (PDT)
Approximation Theory of Convolutional Architectures for Time Series Modelling
In Learning Theory 10
Haotian Jiang · Zhong Li · Qianxiao Li
[ Paper ]
Spotlight
Wed Jul 21 06:20 PM -- 06:25 PM (PDT)
Optimal Streaming Algorithms for Multi-Armed Bandits
In Bandits 3
Tianyuan Jin · Keke Huang · Jing Tang · Xiaokui Xiao
[ Paper ]
Spotlight
Wed Jul 21 06:20 PM -- 06:25 PM (PDT)
Gaussian Process-Based Real-Time Learning for Safety Critical Applications
In Reinforcement Learning 14
Armin Lederer · Alejandro Ordóñez Conejo · Korbinian Maier · Wenxin Xiao · Jonas Umlauft · Sandra Hirche
[ Paper ]
Spotlight
Wed Jul 21 06:20 PM -- 06:25 PM (PDT)
GRAD-MATCH: Gradient Matching based Data Subset Selection for Efficient Deep Model Training
In Supervised Learning 4
Krishnateja Killamsetty · Durga S · Ganesh Ramakrishnan · Abir De · Rishabh Iyer
[ Paper ]
Spotlight
Wed Jul 21 06:20 PM -- 06:25 PM (PDT)
Outside the Echo Chamber: Optimizing the Performative Risk
In Learning Theory 11
John Miller · Juan Perdomo · Tijana Zrnic
[ Paper ]
Spotlight
Wed Jul 21 06:20 PM -- 06:25 PM (PDT)
KO codes: inventing nonlinear encoding and decoding for reliable wireless communication via deep-learning
In Learning Theory 9
Ashok Vardhan Makkuva · Xiyang Liu · Mohammad Vahid Jamali · Hessam Mahdavifar · Sewoong Oh · Pramod Viswanath
[ Paper ]
Spotlight
Wed Jul 21 06:20 PM -- 06:25 PM (PDT)
Noise and Fluctuation of Finite Learning Rate Stochastic Gradient Descent
In Deep Learning Theory 5
Kangqiao Liu · Liu Ziyin · Masahito Ueda
[ Paper ]
Spotlight
Wed Jul 21 06:25 PM -- 06:30 PM (PDT)
Asymptotic Normality and Confidence Intervals for Prediction Risk of the Min-Norm Least Squares Estimator
In Learning Theory 11
Zeng Li · Chuanlong Xie · Qinwen Wang
[ Paper ]
Spotlight
Wed Jul 21 06:25 PM -- 06:30 PM (PDT)
Top-k eXtreme Contextual Bandits with Arm Hierarchy
In Bandits 3
Rajat Sen · Alexander Rakhlin · Lexing Ying · Rahul Kidambi · Dean Foster · Daniel Hill · Inderjit Dhillon
[ Paper ]
Spotlight
Wed Jul 21 06:25 PM -- 06:30 PM (PDT)
Tensor Programs IV: Feature Learning in Infinite-Width Neural Networks
In Deep Learning Theory 5
Greg Yang · Edward Hu
[ Paper ]
Spotlight
Wed Jul 21 06:25 PM -- 06:30 PM (PDT)
An Information-Geometric Distance on the Space of Tasks
In Learning Theory 9
Yansong Gao · Pratik Chaudhari
[ Paper ]
Spotlight
Wed Jul 21 06:25 PM -- 06:30 PM (PDT)
CRPO: A New Approach for Safe Reinforcement Learning with Convergence Guarantee
In Reinforcement Learning 14
Tengyu Xu · Yingbin LIANG · Guanghui Lan
[ Paper ]
Spotlight
Wed Jul 21 06:25 PM -- 06:30 PM (PDT)
On the Generalization Power of Overfitted Two-Layer Neural Tangent Kernel Models
In Learning Theory 10
Peizhong Ju · Xiaojun Lin · Ness Shroff
[ Paper ]
Spotlight
Wed Jul 21 06:25 PM -- 06:30 PM (PDT)
A Sharp Analysis of Model-based Reinforcement Learning with Self-Play
In Reinforcement Learning Theory 4
Qinghua Liu · Tiancheng Yu · Yu Bai · Chi Jin
[ Paper ]
Spotlight
Wed Jul 21 06:25 PM -- 06:30 PM (PDT)
Segmenting Hybrid Trajectories using Latent ODEs
In Time Series 2
Ruian Shi · Quaid Morris
[ Paper ]
Spotlight
Wed Jul 21 06:25 PM -- 06:30 PM (PDT)
Fair Classification with Noisy Protected Attributes: A Framework with Provable Guarantees
In Supervised Learning 4
L. Elisa Celis · Lingxiao Huang · Vijay Keswani · Nisheeth K. Vishnoi
[ Paper ]
Spotlight
Wed Jul 21 06:30 PM -- 06:35 PM (PDT)
On Perceptual Lossy Compression: The Cost of Perceptual Reconstruction and An Optimal Training Framework
In Learning Theory 9
Zeyu Yan · Fei Wen · rendong Ying · Chao Ma · Peilin Liu
[ Paper ]
Spotlight
Wed Jul 21 06:30 PM -- 06:35 PM (PDT)
Geometry of the Loss Landscape in Overparameterized Neural Networks: Symmetries and Invariances
In Learning Theory 10
Berfin Simsek · François Ged · Arthur Jacot · Francesco Spadaro · Clement Hongler · Wulfram Gerstner · Johanni Brea
[ Paper ]
Spotlight
Wed Jul 21 06:30 PM -- 06:35 PM (PDT)
Learning Deep Neural Networks under Agnostic Corrupted Supervision
In Supervised Learning 4
Boyang Liu · Mengying Sun · Ding Wang · Pang-Ning Tan · Jiayu Zhou
[ Paper ]
Spotlight
Wed Jul 21 06:30 PM -- 06:35 PM (PDT)
Doubly Robust Off-Policy Actor-Critic: Convergence and Optimality
In Reinforcement Learning Theory 4
Tengyu Xu · Zhuoran Yang · Zhaoran Wang · Yingbin LIANG
[ Paper ]
Spotlight
Wed Jul 21 06:30 PM -- 06:35 PM (PDT)
Provable Meta-Learning of Linear Representations
In Learning Theory 11
Nilesh Tripuraneni · Chi Jin · Michael Jordan
[ Paper ]
Spotlight
Wed Jul 21 06:30 PM -- 06:35 PM (PDT)
Randomized Exploration in Reinforcement Learning with General Value Function Approximation
In Reinforcement Learning 14
Haque Ishfaq · Qiwen Cui · Viet Nguyen · Alex Ayoub · Zhuoran Yang · Zhaoran Wang · Doina Precup · Lin Yang
[ Paper ]
Spotlight
Wed Jul 21 06:30 PM -- 06:35 PM (PDT)
Scaling Properties of Deep Residual Networks
In Deep Learning Theory 5
Alain-Sam Cohen · Rama Cont · Alain Rossier · Renyuan Xu
[ Paper ]
Spotlight
Wed Jul 21 06:30 PM -- 06:35 PM (PDT)
Z-GCNETs: Time Zigzags at Graph Convolutional Networks for Time Series Forecasting
In Time Series 2
Yuzhou Chen · Ignacio Segovia Dominguez · Yulia R Gel
[ Paper ]
Spotlight
Wed Jul 21 06:30 PM -- 06:35 PM (PDT)
Improved Regret Bounds of Bilinear Bandits using Action Space Analysis
In Bandits 3
Kyoungseok Jang · Kwang-Sung Jun · Se-Young Yun · Wanmo Kang
[ Paper ]
Spotlight
Wed Jul 21 06:35 PM -- 06:40 PM (PDT)
Interaction-Grounded Learning
In Bandits 3
Tengyang Xie · John Langford · Paul Mineiro · Ida Momennejad
[ Paper ]
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Wed Jul 21 06:35 PM -- 06:40 PM (PDT)
Event Outlier Detection in Continuous Time
In Time Series 2
Siqi Liu · Milos Hauskrecht
[ Paper ]
Spotlight
Wed Jul 21 06:35 PM -- 06:40 PM (PDT)
Discrete-Valued Latent Preference Matrix Estimation with Graph Side Information
In Learning Theory 9
Changhun Jo · Kangwook Lee
[ Paper ]
Spotlight
Wed Jul 21 06:35 PM -- 06:40 PM (PDT)
Sample Complexity of Robust Linear Classification on Separated Data
In Learning Theory 11
Robi Bhattacharjee · Somesh Jha · Kamalika Chaudhuri
[ Paper ]
Spotlight
Wed Jul 21 06:35 PM -- 06:40 PM (PDT)
On the Explicit Role of Initialization on the Convergence and Implicit Bias of Overparametrized Linear Networks
In Learning Theory 10
Hancheng Min · Salma Tarmoun · Rene Vidal · Enrique Mallada
[ Paper ]
Spotlight
Wed Jul 21 06:35 PM -- 06:40 PM (PDT)
Towards Tight Bounds on the Sample Complexity of Average-reward MDPs
In Reinforcement Learning Theory 4
Yujia Jin · Aaron Sidford
[ Paper ]
Spotlight
Wed Jul 21 06:35 PM -- 06:40 PM (PDT)
Trees with Attention for Set Prediction Tasks
In Supervised Learning 4
Roy Hirsch · Ran Gilad-Bachrach
[ Paper ]
Spotlight
Wed Jul 21 06:35 PM -- 06:40 PM (PDT)
Deep Coherent Exploration for Continuous Control
In Reinforcement Learning 14
Yijie Zhang · Herke van Hoof
[ Paper ]
Spotlight
Wed Jul 21 06:35 PM -- 06:40 PM (PDT)
Contrastive Learning Inverts the Data Generating Process
In Deep Learning Theory 5
Roland S. Zimmermann · Yash Sharma · Steffen Schneider · Matthias Bethge · Wieland Brendel
[ Paper ]
Spotlight
Wed Jul 21 06:40 PM -- 06:45 PM (PDT)
Relative Deviation Margin Bounds
In Learning Theory 10
Corinna Cortes · Mehryar Mohri · Ananda Theertha Suresh
[ Paper ]
Spotlight
Wed Jul 21 06:40 PM -- 06:45 PM (PDT)
Towards Distraction-Robust Active Visual Tracking
In Reinforcement Learning 14
Fangwei Zhong · Peng Sun · Wenhan Luo · Tingyun Yan · Yizhou Wang
[ Paper ]
Spotlight
Wed Jul 21 06:40 PM -- 06:45 PM (PDT)
The Impact of Record Linkage on Learning from Feature Partitioned Data
In Learning Theory 11
Richard Nock · Stephen J Hardy · Wilko Henecka · Hamish Ivey-Law · Jakub Nabaglo · Giorgio Patrini · Guillaume Smith · Brian Thorne
[ Paper ]
Spotlight
Wed Jul 21 06:40 PM -- 06:45 PM (PDT)
Almost Optimal Anytime Algorithm for Batched Multi-Armed Bandits
In Bandits 3
Tianyuan Jin · Jing Tang · Pan Xu · Keke Huang · Xiaokui Xiao · Quanquan Gu
[ Paper ]
Spotlight
Wed Jul 21 06:40 PM -- 06:45 PM (PDT)
Finding the Stochastic Shortest Path with Low Regret: the Adversarial Cost and Unknown Transition Case
In Reinforcement Learning Theory 4
Liyu Chen · Haipeng Luo
[ Paper ]
Spotlight
Wed Jul 21 06:40 PM -- 06:45 PM (PDT)
Autoregressive Denoising Diffusion Models for Multivariate Probabilistic Time Series Forecasting
In Time Series 2
Kashif Rasul · Calvin Seward · Ingmar Schuster · Roland Vollgraf
[ Paper ]
Spotlight
Wed Jul 21 06:40 PM -- 06:45 PM (PDT)
Model Performance Scaling with Multiple Data Sources
In Supervised Learning 4
Tatsunori Hashimoto
[ Paper ]
Spotlight
Wed Jul 21 06:40 PM -- 06:45 PM (PDT)
A Novel Method to Solve Neural Knapsack Problems
In Learning Theory 9
Duanshun Li · Jing Liu · Dongeun Lee · Ali S. Mazloom · Giridhar Kaushik · Kookjin Lee · Noseong Park
[ Paper ]
Spotlight
Wed Jul 21 06:40 PM -- 06:45 PM (PDT)
Tensor Programs IIb: Architectural Universality Of Neural Tangent Kernel Training Dynamics
In Deep Learning Theory 5
Greg Yang · Etai Littwin
[ Paper ]
Q&A
Wed Jul 21 06:45 PM -- 06:50 PM (PDT)
Q&A
In Reinforcement Learning Theory 4
Q&A
Wed Jul 21 06:45 PM -- 06:50 PM (PDT)
Q&A
In Reinforcement Learning 14
Spotlight
Wed Jul 21 06:45 PM -- 06:50 PM (PDT)
Train simultaneously, generalize better: Stability of gradient-based minimax learners
In Learning Theory 11
Farzan Farnia · Asuman Ozdaglar
[ Paper ]
Spotlight
Wed Jul 21 06:45 PM -- 06:50 PM (PDT)
Do We Actually Need Dense Over-Parameterization? In-Time Over-Parameterization in Sparse Training
In Deep Learning Theory 5
Shiwei Liu · Lu Yin · Decebal Mocanu · Mykola Pechenizkiy
[ Paper ]
Spotlight
Wed Jul 21 06:45 PM -- 06:50 PM (PDT)
Accuracy on the Line: on the Strong Correlation Between Out-of-Distribution and In-Distribution Generalization
In Learning Theory 10
John Miller · Rohan Taori · Aditi Raghunathan · Shiori Sagawa · Pang Wei Koh · Vaishaal Shankar · Percy Liang · Yair Carmon · Ludwig Schmidt
[ Paper ]
Spotlight
Wed Jul 21 06:45 PM -- 06:50 PM (PDT)
Solving Inverse Problems with a Flow-based Noise Model
In Supervised Learning 4
Jay Whang · Qi Lei · Alexandros Dimakis
[ Paper ]
Spotlight
Wed Jul 21 06:45 PM -- 06:50 PM (PDT)
Cumulants of Hawkes Processes are Robust to Observation Noise
In Time Series 2
William Trouleau · Jalal Etesami · Matthias Grossglauser · Negar Kiyavash · Patrick Thiran
[ Paper ]
Spotlight
Wed Jul 21 06:45 PM -- 06:50 PM (PDT)
Pure Exploration and Regret Minimization in Matching Bandits
In Bandits 3
Flore Sentenac · Jialin Yi · Clément Calauzènes · Vianney Perchet · Milan Vojnovic
[ Paper ]
Spotlight
Wed Jul 21 06:45 PM -- 06:50 PM (PDT)
Chebyshev Polynomial Codes: Task Entanglement-based Coding for Distributed Matrix Multiplication
In Learning Theory 9
Sangwoo Hong · Heecheol Yang · Youngseok Yoon · Tae Hyun Cho · Jungwoo Lee
[ Paper ]
Q&A
Wed Jul 21 06:50 PM -- 06:55 PM (PDT)
Q&A
In Learning Theory 11
Q&A
Wed Jul 21 06:50 PM -- 06:55 PM (PDT)
Q&A
In Learning Theory 10
Q&A
Wed Jul 21 06:50 PM -- 06:55 PM (PDT)
Q&A
In Supervised Learning 4
Q&A
Wed Jul 21 06:50 PM -- 06:55 PM (PDT)
Q&A
In Bandits 3
Q&A
Wed Jul 21 06:50 PM -- 06:55 PM (PDT)
Q&A
In Deep Learning Theory 5
Q&A
Wed Jul 21 06:50 PM -- 06:55 PM (PDT)
Q&A
In Time Series 2
Q&A
Wed Jul 21 06:50 PM -- 06:55 PM (PDT)
Q&A
In Learning Theory 9
Oral
Wed Jul 21 07:00 PM -- 07:20 PM (PDT)
Multi-Dimensional Classification via Sparse Label Encoding
In Supervised Learning 6
BINBIN JIA · Min-Ling Zhang
[ Paper ]
Oral
Wed Jul 21 07:00 PM -- 07:20 PM (PDT)
A Precise Performance Analysis of Support Vector Regression
In Learning Theory 12
Houssem Sifaou · Abla Kammoun · Mohamed-Slim Alouini
[ Paper ]
Oral
Wed Jul 21 07:00 PM -- 07:20 PM (PDT)
Multi-layered Network Exploration via Random Walks: From Offline Optimization to Online Learning
In Bandits 4
Xutong Liu · Jinhang Zuo · Xiaowei Chen · Wei Chen · John C. S. Lui
[ Paper ]
Oral
Wed Jul 21 07:00 PM -- 07:20 PM (PDT)
RNN with Particle Flow for Probabilistic Spatio-temporal Forecasting
In Applications 2
Soumyasundar Pal · Liheng Ma · Yingxue Zhang · Mark Coates
[ Paper ]
Oral
Wed Jul 21 07:00 PM -- 07:20 PM (PDT)
Can Subnetwork Structure Be the Key to Out-of-Distribution Generalization?
In Algorithms 2
Dinghuai Zhang · Kartik Ahuja · Yilun Xu · Yisen Wang · Aaron Courville
[ Paper ]
Oral
Wed Jul 21 07:00 PM -- 07:20 PM (PDT)
Analysis of stochastic Lanczos quadrature for spectrum approximation
In Learning Theory 13
Tyler Chen · Thomas Trogdon · Shashanka Ubaru
[ Paper ]
Oral
Wed Jul 21 07:00 PM -- 07:20 PM (PDT)
Improved Regret Bound and Experience Replay in Regularized Policy Iteration
In Reinforcement Learning Theory 5
Nevena Lazic · Dong Yin · Yasin Abbasi-Yadkori · Csaba Szepesvari
[ Paper ]
Oral
Wed Jul 21 07:00 PM -- 07:20 PM (PDT)
Break-It-Fix-It: Unsupervised Learning for Program Repair
In Applications 1
Michihiro Yasunaga · Percy Liang
[ Paper ]
Oral
Wed Jul 21 07:00 PM -- 07:20 PM (PDT)
Learning Gradient Fields for Molecular Conformation Generation
In Applications (Bio) 2
Chence Shi · Shitong Luo · Minkai Xu · Jian Tang
[ Paper ]
Spotlight
Wed Jul 21 07:00 PM -- 07:05 PM (PDT)
Deep Latent Graph Matching
In Supervised Learning 5
Tianshu Yu · Runzhong Wang · Junchi Yan · baoxin Li
[ Paper ]
Spotlight
Wed Jul 21 07:05 PM -- 07:10 PM (PDT)
Asymmetric Loss Functions for Learning with Noisy Labels
In Supervised Learning 5
Xiong Zhou · Xianming Liu · Junjun Jiang · Xin Gao · Xiangyang Ji
[ Paper ]
Spotlight
Wed Jul 21 07:10 PM -- 07:15 PM (PDT)
Clusterability as an Alternative to Anchor Points When Learning with Noisy Labels
In Supervised Learning 5
Zhaowei Zhu · Yiwen Song · Yang Liu
[ Paper ]
Spotlight
Wed Jul 21 07:15 PM -- 07:20 PM (PDT)
More Powerful and General Selective Inference for Stepwise Feature Selection using Homotopy Method
In Supervised Learning 5
Kazuya Sugiyama · Vo Nguyen Le Duy · Ichiro Takeuchi
[ Paper ]
Oral
Wed Jul 21 07:20 PM -- 07:40 PM (PDT)
Latent Programmer: Discrete Latent Codes for Program Synthesis
In Supervised Learning 6
Joey Hong · David Dohan · Rishabh Singh · Charles Sutton · Manzil Zaheer
[ Paper ]
Spotlight
Wed Jul 21 07:20 PM -- 07:25 PM (PDT)
Sample-Optimal PAC Learning of Halfspaces with Malicious Noise
In Learning Theory 13
Jie Shen
[ Paper ]
Spotlight
Wed Jul 21 07:20 PM -- 07:25 PM (PDT)
Near-Optimal Model-Free Reinforcement Learning in Non-Stationary Episodic MDPs
In Reinforcement Learning Theory 5
Weichao Mao · Kaiqing Zhang · Ruihao Zhu · David Simchi-Levi · Tamer Basar
[ Paper ]
Spotlight
Wed Jul 21 07:20 PM -- 07:25 PM (PDT)
Policy Analysis using Synthetic Controls in Continuous-Time
In Applications 1
Alexis Bellot · Mihaela van der Schaar
[ Paper ]
Spotlight
Wed Jul 21 07:20 PM -- 07:25 PM (PDT)
An End-to-End Framework for Molecular Conformation Generation via Bilevel Programming
In Applications (Bio) 2
Minkai Xu · Wujie Wang · Shitong Luo · Chence Shi · Yoshua Bengio · Rafael Gomez-Bombarelli · Jian Tang
[ Paper ]
Spotlight
Wed Jul 21 07:20 PM -- 07:25 PM (PDT)
Combinatorial Blocking Bandits with Stochastic Delays
In Bandits 4
Alexia Atsidakou · Orestis Papadigenopoulos · Soumya Basu · Constantine Caramanis · Sanjay Shakkottai
[ Paper ]
Spotlight
Wed Jul 21 07:20 PM -- 07:25 PM (PDT)
Training Recurrent Neural Networks via Forward Propagation Through Time
In Supervised Learning 5
Anil Kag · Venkatesh Saligrama
[ Paper ]
Spotlight
Wed Jul 21 07:20 PM -- 07:25 PM (PDT)
Lower-Bounded Proper Losses for Weakly Supervised Classification
In Learning Theory 12
Shuhei M Yoshida · Takashi Takenouchi · Masashi Sugiyama
[ Paper ]
Spotlight
Wed Jul 21 07:20 PM -- 07:25 PM (PDT)
A Differentiable Point Process with Its Application to Spiking Neural Networks
In Applications 2
Hiroshi Kajino
[ Paper ]
Spotlight
Wed Jul 21 07:20 PM -- 07:25 PM (PDT)
DORO: Distributional and Outlier Robust Optimization
In Algorithms 2
Runtian Zhai · Chen Dan · Zico Kolter · Pradeep Ravikumar
[ Paper ]
Spotlight
Wed Jul 21 07:25 PM -- 07:30 PM (PDT)
AdaXpert: Adapting Neural Architecture for Growing Data
In Algorithms 2
Shuaicheng Niu · Jiaxiang Wu · Guanghui Xu · Yifan Zhang · Yong Guo · Peilin Zhao · Peng Wang · Mingkui Tan
[ Paper ]
Spotlight
Wed Jul 21 07:25 PM -- 07:30 PM (PDT)
MC-LSTM: Mass-Conserving LSTM
In Applications 1
Pieter-Jan Hoedt · Frederik Kratzert · Daniel Klotz · Christina Halmich · Markus Holzleitner · Grey Nearing · Sepp Hochreiter · Günter Klambauer
[ Paper ]
Spotlight
Wed Jul 21 07:25 PM -- 07:30 PM (PDT)
Deep Learning for Functional Data Analysis with Adaptive Basis Layers
In Supervised Learning 5
Junwen Yao · Jonas Mueller · Jane-Ling Wang
[ Paper ]
Spotlight
Wed Jul 21 07:25 PM -- 07:30 PM (PDT)
SagaNet: A Small Sample Gated Network for Pediatric Cancer Diagnosis
In Applications (Bio) 2
Yuhan Liu · Shiliang Sun
[ Paper ]
Spotlight
Wed Jul 21 07:25 PM -- 07:30 PM (PDT)
On Robust Mean Estimation under Coordinate-level Corruption
In Learning Theory 13
Zifan Liu · Jong Ho Park · Theo Rekatsinas · Christos Tzamos
[ Paper ]
Spotlight
Wed Jul 21 07:25 PM -- 07:30 PM (PDT)
Optimal Off-Policy Evaluation from Multiple Logging Policies
In Reinforcement Learning Theory 5
Nathan Kallus · Yuta Saito · Masatoshi Uehara
[ Paper ]
Spotlight
Wed Jul 21 07:25 PM -- 07:30 PM (PDT)
Diffusion Source Identification on Networks with Statistical Confidence
In Applications 2
Quinlan Dawkins · Tianxi Li · Haifeng Xu
[ Paper ]
Spotlight
Wed Jul 21 07:25 PM -- 07:30 PM (PDT)
On Variational Inference in Biclustering Models
In Learning Theory 12
Guanhua Fang · Ping Li
[ Paper ]
Spotlight
Wed Jul 21 07:25 PM -- 07:30 PM (PDT)
Sparsity-Agnostic Lasso Bandit
In Bandits 4
Min-hwan Oh · Garud Iyengar · Assaf Zeevi
[ Paper ]
Spotlight
Wed Jul 21 07:30 PM -- 07:35 PM (PDT)
Quantile Bandits for Best Arms Identification
In Bandits 4
Mengyan Zhang · Cheng Soon Ong
[ Paper ]
Spotlight
Wed Jul 21 07:30 PM -- 07:35 PM (PDT)
Infinite-Dimensional Optimization for Zero-Sum Games via Variational Transport
In Learning Theory 12
Lewis Liu · Yufeng Zhang · Zhuoran Yang · Reza Babanezhad · Zhaoran Wang
[ Paper ]
Spotlight
Wed Jul 21 07:30 PM -- 07:35 PM (PDT)
HyperHyperNetwork for the Design of Antenna Arrays
In Applications 1
Shahar Lutati · Lior Wolf
[ Paper ]
Spotlight
Wed Jul 21 07:30 PM -- 07:35 PM (PDT)
Provably Correct Optimization and Exploration with Non-linear Policies
In Reinforcement Learning Theory 5
Fei Feng · Wotao Yin · Alekh Agarwal · Lin Yang
[ Paper ]
Spotlight
Wed Jul 21 07:30 PM -- 07:35 PM (PDT)
Multidimensional Scaling: Approximation and Complexity
In Learning Theory 13
Erik Demaine · Adam C Hesterberg · Frederic Koehler · Jayson Lynch · John C Urschel
[ Paper ]
Spotlight
Wed Jul 21 07:30 PM -- 07:35 PM (PDT)
An Integer Linear Programming Framework for Mining Constraints from Data
In Supervised Learning 5
Tao Meng · Kai-Wei Chang
[ Paper ]
Spotlight
Wed Jul 21 07:30 PM -- 07:35 PM (PDT)
ACE: Explaining cluster from an adversarial perspective
In Applications (Bio) 2
Yang Lu · Timothy C Yu · Giancarlo Bonora · William Stafford Noble
[ Paper ]
Spotlight
Wed Jul 21 07:30 PM -- 07:35 PM (PDT)
Quantifying Ignorance in Individual-Level Causal-Effect Estimates under Hidden Confounding
In Applications 2
Andrew Jesson · Sören Mindermann · Yarin Gal · Uri Shalit
[ Paper ]
Spotlight
Wed Jul 21 07:30 PM -- 07:35 PM (PDT)
Neural SDEs as Infinite-Dimensional GANs
In Algorithms 2
Patrick Kidger · James Foster · Xuechen Li · Terry Lyons
[ Paper ]
Spotlight
Wed Jul 21 07:35 PM -- 07:40 PM (PDT)
Exact Optimization of Conformal Predictors via Incremental and Decremental Learning
In Algorithms 2
Giovanni Cherubin · Konstantinos Chatzikokolakis · Martin Jaggi
[ Paper ]
Spotlight
Wed Jul 21 07:35 PM -- 07:40 PM (PDT)
Fold2Seq: A Joint Sequence(1D)-Fold(3D) Embedding-based Generative Model for Protein Design
In Applications (Bio) 2
yue cao · Payel Das · Vijil Chenthamarakshan · Pin-Yu Chen · Igor Melnyk · Yang Shen
[ Paper ]
Spotlight
Wed Jul 21 07:35 PM -- 07:40 PM (PDT)
Classification with Rejection Based on Cost-sensitive Classification
In Supervised Learning 5
Nontawat Charoenphakdee · Zhenghang Cui · Yivan Zhang · Masashi Sugiyama
[ Paper ]
Spotlight
Wed Jul 21 07:35 PM -- 07:40 PM (PDT)
Toward Better Generalization Bounds with Locally Elastic Stability
In Learning Theory 13
Zhun Deng · Hangfeng He · Weijie Su
[ Paper ]
Spotlight
Wed Jul 21 07:35 PM -- 07:40 PM (PDT)
SAINT-ACC: Safety-Aware Intelligent Adaptive Cruise Control for Autonomous Vehicles Using Deep Reinforcement Learning
In Applications 1
Lokesh Chandra Das · Myounggyu Won
[ Paper ]
Spotlight
Wed Jul 21 07:35 PM -- 07:40 PM (PDT)
Safe Reinforcement Learning Using Advantage-Based Intervention
In Reinforcement Learning Theory 5
Nolan Wagener · Byron Boots · Ching-An Cheng
[ Paper ]
Spotlight
Wed Jul 21 07:35 PM -- 07:40 PM (PDT)
Dropout: Explicit Forms and Capacity Control
In Learning Theory 12
Raman Arora · Peter Bartlett · Poorya Mianjy · Nati Srebro
[ Paper ]
Spotlight
Wed Jul 21 07:35 PM -- 07:40 PM (PDT)
Making Paper Reviewing Robust to Bid Manipulation Attacks
In Applications 2
Ruihan Wu · Chuan Guo · Felix Wu · Rahul Kidambi · Laurens van der Maaten · Kilian Weinberger
[ Paper ]
Spotlight
Wed Jul 21 07:35 PM -- 07:40 PM (PDT)
Beyond $log^2(T)$ regret for decentralized bandits in matching markets
In Bandits 4
Soumya Basu · Karthik Abinav Sankararaman · Abishek Sankararaman
[ Paper ]
Spotlight
Wed Jul 21 07:40 PM -- 07:45 PM (PDT)
Massively Parallel and Asynchronous Tsetlin Machine Architecture Supporting Almost Constant-Time Scaling
In Bandits 4
Kuruge Darshana Abeyrathna · Bimal Bhattarai · Morten Goodwin · Saeed Rahimi Gorji · Ole-Christoffer Granmo · Lei Jiao · Rupsa Saha · Rohan Kumar Yadav
[ Paper ]
Spotlight
Wed Jul 21 07:40 PM -- 07:45 PM (PDT)
12-Lead ECG Reconstruction via Koopman Operators
In Applications 1
Tomer Golany · Kira Radinsky · Daniel Freedman · Saar Minha
[ Paper ]
Spotlight
Wed Jul 21 07:40 PM -- 07:45 PM (PDT)
Robust Pure Exploration in Linear Bandits with Limited Budget
In Reinforcement Learning Theory 5
Ayya Alieva · Ashok Cutkosky · Abhimanyu Das
[ Paper ]
Spotlight
Wed Jul 21 07:40 PM -- 07:45 PM (PDT)
Finding Relevant Information via a Discrete Fourier Expansion
In Learning Theory 12
Mohsen Heidari · Jithin Sreedharan · Gil Shamir · Wojciech Szpankowski
[ Paper ]
Spotlight
Wed Jul 21 07:40 PM -- 07:45 PM (PDT)
Adaptive Newton Sketch: Linear-time Optimization with Quadratic Convergence and Effective Hessian Dimensionality
In Learning Theory 13
Jonathan Lacotte · Yifei Wang · Mert Pilanci
[ Paper ]
Spotlight
Wed Jul 21 07:40 PM -- 07:45 PM (PDT)
Model Distillation for Revenue Optimization: Interpretable Personalized Pricing
In Applications 2
Max Biggs · Wei Sun · Markus Ettl
[ Paper ]
Spotlight
Wed Jul 21 07:40 PM -- 07:45 PM (PDT)
Mandoline: Model Evaluation under Distribution Shift
In Algorithms 2
Mayee Chen · Karan Goel · Nimit Sohoni · Fait Poms · Kayvon Fatahalian · Christopher Re
[ Paper ]
Spotlight
Wed Jul 21 07:40 PM -- 07:45 PM (PDT)
LEGO: Latent Execution-Guided Reasoning for Multi-Hop Question Answering on Knowledge Graphs
In Supervised Learning 6
Hongyu Ren · Hanjun Dai · Bo Dai · Xinyun Chen · Michihiro Yasunaga · Haitian Sun · Dale Schuurmans · Jure Leskovec · Denny Zhou
[ Paper ]
Spotlight
Wed Jul 21 07:40 PM -- 07:45 PM (PDT)
Versatile Verification of Tree Ensembles
In Supervised Learning 5
Laurens Devos · Wannes Meert · Jesse Davis
[ Paper ]
Spotlight
Wed Jul 21 07:40 PM -- 07:45 PM (PDT)
Accelerating Feedforward Computation via Parallel Nonlinear Equation Solving
In Applications (Bio) 2
Yang Song · Chenlin Meng · Renjie Liao · Stefano Ermon
[ Paper ]
Q&A
Wed Jul 21 07:45 PM -- 07:50 PM (PDT)
Q&A
In Supervised Learning 5
Spotlight
Wed Jul 21 07:45 PM -- 07:50 PM (PDT)
On the Inherent Regularization Effects of Noise Injection During Training
In Learning Theory 12
Oussama Dhifallah · Yue Lu
[ Paper ]
Spotlight
Wed Jul 21 07:45 PM -- 07:50 PM (PDT)
How and Why to Use Experimental Data to Evaluate Methods for Observational Causal Inference
In Algorithms 2
Amanda Gentzel · Purva Pruthi · David Jensen
[ Paper ]
Spotlight
Wed Jul 21 07:45 PM -- 07:50 PM (PDT)
Adapting to misspecification in contextual bandits with offline regression oracles
In Bandits 4
Sanath Kumar Krishnamurthy · Vitor Hadad · Susan Athey
[ Paper ]
Spotlight
Wed Jul 21 07:45 PM -- 07:50 PM (PDT)
Interpreting and Disentangling Feature Components of Various Complexity from DNNs
In Learning Theory 13
Jie Ren · Mingjie Li · Zexu Liu · Quanshi Zhang
[ Paper ]
Spotlight
Wed Jul 21 07:45 PM -- 07:50 PM (PDT)
A large-scale benchmark for few-shot program induction and synthesis
In Applications 1
Ferran Alet · Javier Lopez-Contreras · James Koppel · Maxwell Nye · Armando Solar-Lezama · Tomas Lozano-Perez · Leslie Kaelbling · Josh Tenenbaum
[ Paper ]
Spotlight
Wed Jul 21 07:45 PM -- 07:50 PM (PDT)
Of Moments and Matching: A Game-Theoretic Framework for Closing the Imitation Gap
In Reinforcement Learning Theory 5
Gokul Swamy · Sanjiban Choudhury · J. Bagnell · Steven Wu
[ Paper ]
Spotlight
Wed Jul 21 07:45 PM -- 07:50 PM (PDT)
SpreadsheetCoder: Formula Prediction from Semi-structured Context
In Supervised Learning 6
Xinyun Chen · Petros Maniatis · Rishabh Singh · Charles Sutton · Hanjun Dai · Max Lin · Denny Zhou
[ Paper ]
Spotlight
Wed Jul 21 07:45 PM -- 07:50 PM (PDT)
Non-Autoregressive Electron Redistribution Modeling for Reaction Prediction
In Applications (Bio) 2
Hangrui Bi · Hengyi Wang · Chence Shi · Connor Coley · Jian Tang · Hongyu Guo
[ Paper ]
Spotlight
Wed Jul 21 07:45 PM -- 07:50 PM (PDT)
Learning Generalized Intersection Over Union for Dense Pixelwise Prediction
In Applications 2
Jiaqian Yu · Jingtao Xu · Yiwei Chen · Weiming Li · Qiang Wang · ByungIn Yoo · Jae-Joon Han
[ Paper ]
Q&A
Wed Jul 21 07:50 PM -- 07:55 PM (PDT)
Q&A
In Applications 1
Q&A
Wed Jul 21 07:50 PM -- 07:55 PM (PDT)
Q&A
In Bandits 4
Q&A
Wed Jul 21 07:50 PM -- 07:55 PM (PDT)
Q&A
In Learning Theory 13
Q&A
Wed Jul 21 07:50 PM -- 07:55 PM (PDT)
Q&A
In Supervised Learning 6
Q&A
Wed Jul 21 07:50 PM -- 07:55 PM (PDT)
Q&A
In Algorithms 2
Q&A
Wed Jul 21 07:50 PM -- 07:55 PM (PDT)
Q&A
In Applications 2
Q&A
Wed Jul 21 07:50 PM -- 07:55 PM (PDT)
Q&A
In Applications (Bio) 2
Q&A
Wed Jul 21 07:50 PM -- 07:55 PM (PDT)
Q&A
In Learning Theory 12
Q&A
Wed Jul 21 07:50 PM -- 07:55 PM (PDT)
Q&A
In Reinforcement Learning Theory 5
Invited Talk
Wed Jul 21 08:00 PM -- 09:00 PM (PDT)
Encoding and Decoding Speech From the Human Brain
Edward Chang
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
The Impact of Record Linkage on Learning from Feature Partitioned Data
In Poster Session 4
Richard Nock · Stephen J Hardy · Wilko Henecka · Hamish Ivey-Law · Jakub Nabaglo · Giorgio Patrini · Guillaume Smith · Brian Thorne
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
How Does Loss Function Affect Generalization Performance of Deep Learning? Application to Human Age Estimation
In Poster Session 4
Ali Akbari · Muhammad Awais · Manijeh Bashar · Josef Kittler
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Provably Efficient Reinforcement Learning for Discounted MDPs with Feature Mapping
In Poster Session 4
Dongruo Zhou · Jiafan He · Quanquan Gu
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Deep Learning for Functional Data Analysis with Adaptive Basis Layers
In Poster Session 4
Junwen Yao · Jonas Mueller · Jane-Ling Wang
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Dissecting Supervised Constrastive Learning
In Poster Session 4
Florian Graf · Christoph Hofer · Marc Niethammer · Roland Kwitt
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Optimal Off-Policy Evaluation from Multiple Logging Policies
In Poster Session 4
Nathan Kallus · Yuta Saito · Masatoshi Uehara
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
A Theory of Label Propagation for Subpopulation Shift
In Poster Session 4
Tianle Cai · Ruiqi Gao · Jason Lee · Qi Lei
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Accelerating Feedforward Computation via Parallel Nonlinear Equation Solving
In Poster Session 4
Yang Song · Chenlin Meng · Renjie Liao · Stefano Ermon
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Selfish Sparse RNN Training
In Poster Session 4
Shiwei Liu · Decebal Mocanu · Yulong Pei · Mykola Pechenizkiy
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Discriminative Complementary-Label Learning with Weighted Loss
In Poster Session 4
Yi Gao · Min-Ling Zhang
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Learning Deep Neural Networks under Agnostic Corrupted Supervision
In Poster Session 4
Boyang Liu · Mengying Sun · Ding Wang · Pang-Ning Tan · Jiayu Zhou
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Fair Classification with Noisy Protected Attributes: A Framework with Provable Guarantees
In Poster Session 4
L. Elisa Celis · Lingxiao Huang · Vijay Keswani · Nisheeth K. Vishnoi
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Detection of Signal in the Spiked Rectangular Models
In Poster Session 4
Ji Hyung Jung · Hye Won Chung · Ji Oon Lee
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Tensor Programs IIb: Architectural Universality Of Neural Tangent Kernel Training Dynamics
In Poster Session 4
Greg Yang · Etai Littwin
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
RATT: Leveraging Unlabeled Data to Guarantee Generalization
In Poster Session 4
Saurabh Garg · Sivaraman Balakrishnan · Zico Kolter · Zachary Lipton
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Adapting to misspecification in contextual bandits with offline regression oracles
In Poster Session 4
Sanath Kumar Krishnamurthy · Vitor Hadad · Susan Athey
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Task-Optimal Exploration in Linear Dynamical Systems
In Poster Session 4
Andrew Wagenmaker · Max Simchowitz · Kevin Jamieson
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Finding Relevant Information via a Discrete Fourier Expansion
In Poster Session 4
Mohsen Heidari · Jithin Sreedharan · Gil Shamir · Wojciech Szpankowski
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
On Variational Inference in Biclustering Models
In Poster Session 4
Guanhua Fang · Ping Li
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
SpreadsheetCoder: Formula Prediction from Semi-structured Context
In Poster Session 4
Xinyun Chen · Petros Maniatis · Rishabh Singh · Charles Sutton · Hanjun Dai · Max Lin · Denny Zhou
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Compressed Maximum Likelihood
In Poster Session 4
Yi Hao · Alon Orlitsky
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Policy Analysis using Synthetic Controls in Continuous-Time
In Poster Session 4
Alexis Bellot · Mihaela van der Schaar
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Model Distillation for Revenue Optimization: Interpretable Personalized Pricing
In Poster Session 4
Max Biggs · Wei Sun · Markus Ettl
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
More Powerful and General Selective Inference for Stepwise Feature Selection using Homotopy Method
In Poster Session 4
Kazuya Sugiyama · Vo Nguyen Le Duy · Ichiro Takeuchi
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
A large-scale benchmark for few-shot program induction and synthesis
In Poster Session 4
Ferran Alet · Javier Lopez-Contreras · James Koppel · Maxwell Nye · Armando Solar-Lezama · Tomas Lozano-Perez · Leslie Kaelbling · Josh Tenenbaum
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Regularized Online Allocation Problems: Fairness and Beyond
In Poster Session 4
Santiago Balseiro · Haihao Lu · Vahab Mirrokni
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Neural SDEs as Infinite-Dimensional GANs
In Poster Session 4
Patrick Kidger · James Foster · Xuechen Li · Terry Lyons
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Learning Generalized Intersection Over Union for Dense Pixelwise Prediction
In Poster Session 4
Jiaqian Yu · Jingtao Xu · Yiwei Chen · Weiming Li · Qiang Wang · ByungIn Yoo · Jae-Joon Han
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Fold2Seq: A Joint Sequence(1D)-Fold(3D) Embedding-based Generative Model for Protein Design
In Poster Session 4
yue cao · Payel Das · Vijil Chenthamarakshan · Pin-Yu Chen · Igor Melnyk · Yang Shen
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Latent Programmer: Discrete Latent Codes for Program Synthesis
In Poster Session 4
Joey Hong · David Dohan · Rishabh Singh · Charles Sutton · Manzil Zaheer
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Toward Better Generalization Bounds with Locally Elastic Stability
In Poster Session 4
Zhun Deng · Hangfeng He · Weijie Su
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Can Subnetwork Structure Be the Key to Out-of-Distribution Generalization?
In Poster Session 4
Dinghuai Zhang · Kartik Ahuja · Yilun Xu · Yisen Wang · Aaron Courville
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Non-Autoregressive Electron Redistribution Modeling for Reaction Prediction
In Poster Session 4
Hangrui Bi · Hengyi Wang · Chence Shi · Connor Coley · Jian Tang · Hongyu Guo
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Of Moments and Matching: A Game-Theoretic Framework for Closing the Imitation Gap
In Poster Session 4
Gokul Swamy · Sanjiban Choudhury · J. Bagnell · Steven Wu
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Optimizing Black-box Metrics with Iterative Example Weighting
In Poster Session 4
Gaurush Hiranandani · Jatin Mathur · Harikrishna Narasimhan · Mahdi Milani Fard · Sanmi Koyejo
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Mandoline: Model Evaluation under Distribution Shift
In Poster Session 4
Mayee Chen · Karan Goel · Nimit Sohoni · Fait Poms · Kayvon Fatahalian · Christopher Re
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Provably Correct Optimization and Exploration with Non-linear Policies
In Poster Session 4
Fei Feng · Wotao Yin · Alekh Agarwal · Lin Yang
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Chebyshev Polynomial Codes: Task Entanglement-based Coding for Distributed Matrix Multiplication
In Poster Session 4
Sangwoo Hong · Heecheol Yang · Youngseok Yoon · Tae Hyun Cho · Jungwoo Lee
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Accuracy on the Line: on the Strong Correlation Between Out-of-Distribution and In-Distribution Generalization
In Poster Session 4
John Miller · Rohan Taori · Aditi Raghunathan · Shiori Sagawa · Pang Wei Koh · Vaishaal Shankar · Percy Liang · Yair Carmon · Ludwig Schmidt
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Tensor Programs IV: Feature Learning in Infinite-Width Neural Networks
In Poster Session 4
Greg Yang · Edward Hu
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Online Submodular Resource Allocation with Applications to Rebalancing Shared Mobility Systems
In Poster Session 4
Pier Giuseppe Sessa · Ilija Bogunovic · Andreas Krause · Maryam Kamgarpour
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Cyclically Equivariant Neural Decoders for Cyclic Codes
In Poster Session 4
Xiangyu Chen · Min Ye
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Deep Coherent Exploration for Continuous Control
In Poster Session 4
Yijie Zhang · Herke van Hoof
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
A Differentiable Point Process with Its Application to Spiking Neural Networks
In Poster Session 4
Hiroshi Kajino
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Clusterability as an Alternative to Anchor Points When Learning with Noisy Labels
In Poster Session 4
Zhaowei Zhu · Yiwen Song · Yang Liu
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Rate-Distortion Analysis of Minimum Excess Risk in Bayesian Learning
In Poster Session 4
Hassan Hafez-Kolahi · Behrad Moniri · Shohreh Kasaei · Mahdieh Soleymani Baghshah
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
FL-NTK: A Neural Tangent Kernel-based Framework for Federated Learning Analysis
In Poster Session 4
Baihe Huang · Xiaoxiao Li · Zhao Song · Xin Yang
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
RNN with Particle Flow for Probabilistic Spatio-temporal Forecasting
In Poster Session 4
Soumyasundar Pal · Liheng Ma · Yingxue Zhang · Mark Coates
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Improved Regret Bound and Experience Replay in Regularized Policy Iteration
In Poster Session 4
Nevena Lazic · Dong Yin · Yasin Abbasi-Yadkori · Csaba Szepesvari
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Classification with Rejection Based on Cost-sensitive Classification
In Poster Session 4
Nontawat Charoenphakdee · Zhenghang Cui · Yivan Zhang · Masashi Sugiyama
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Online Unrelated Machine Load Balancing with Predictions Revisited
In Poster Session 4
Shi Li · Jiayi Xian
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
An Information-Geometric Distance on the Space of Tasks
In Poster Session 4
Yansong Gao · Pratik Chaudhari
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Analysis of stochastic Lanczos quadrature for spectrum approximation
In Poster Session 4
Tyler Chen · Thomas Trogdon · Shashanka Ubaru
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
On the Explicit Role of Initialization on the Convergence and Implicit Bias of Overparametrized Linear Networks
In Poster Session 4
Hancheng Min · Salma Tarmoun · Rene Vidal · Enrique Mallada
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Multi-Receiver Online Bayesian Persuasion
In Poster Session 4
Matteo Castiglioni · Alberto Marchesi · Andrea Celli · Nicola Gatti
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Training Recurrent Neural Networks via Forward Propagation Through Time
In Poster Session 4
Anil Kag · Venkatesh Saligrama
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Dropout: Explicit Forms and Capacity Control
In Poster Session 4
Raman Arora · Peter Bartlett · Poorya Mianjy · Nati Srebro
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Pure Exploration and Regret Minimization in Matching Bandits
In Poster Session 4
Flore Sentenac · Jialin Yi · Clément Calauzènes · Vianney Perchet · Milan Vojnovic
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Besov Function Approximation and Binary Classification on Low-Dimensional Manifolds Using Convolutional Residual Networks
In Poster Session 4
Hao Liu · Minshuo Chen · Tuo Zhao · Wenjing Liao
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Contrastive Learning Inverts the Data Generating Process
In Poster Session 4
Roland S. Zimmermann · Yash Sharma · Steffen Schneider · Matthias Bethge · Wieland Brendel
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Alternative Microfoundations for Strategic Classification
In Poster Session 4
Meena Jagadeesan · Celestine Mendler-Dünner · Moritz Hardt
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Asymmetric Heavy Tails and Implicit Bias in Gaussian Noise Injections
In Poster Session 4
Alexander D Camuto · Xiaoyu Wang · Lingjiong Zhu · Christopher Holmes · Mert Gurbuzbalaban · Umut Simsekli
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
WGAN with an Infinitely Wide Generator Has No Spurious Stationary Points
In Poster Session 4
Albert No · TaeHo Yoon · Sehyun Kwon · Ernest Ryu
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
A Sharp Analysis of Model-based Reinforcement Learning with Self-Play
In Poster Session 4
Qinghua Liu · Tiancheng Yu · Yu Bai · Chi Jin
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Interpreting and Disentangling Feature Components of Various Complexity from DNNs
In Poster Session 4
Jie Ren · Mingjie Li · Zexu Liu · Quanshi Zhang
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Do We Actually Need Dense Over-Parameterization? In-Time Over-Parameterization in Sparse Training
In Poster Session 4
Shiwei Liu · Lu Yin · Decebal Mocanu · Mykola Pechenizkiy
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
12-Lead ECG Reconstruction via Koopman Operators
In Poster Session 4
Tomer Golany · Kira Radinsky · Daniel Freedman · Saar Minha
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Massively Parallel and Asynchronous Tsetlin Machine Architecture Supporting Almost Constant-Time Scaling
In Poster Session 4
Kuruge Darshana Abeyrathna · Bimal Bhattarai · Morten Goodwin · Saeed Rahimi Gorji · Ole-Christoffer Granmo · Lei Jiao · Rupsa Saha · Rohan Kumar Yadav
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
LEGO: Latent Execution-Guided Reasoning for Multi-Hop Question Answering on Knowledge Graphs
In Poster Session 4
Hongyu Ren · Hanjun Dai · Bo Dai · Xinyun Chen · Michihiro Yasunaga · Haitian Sun · Dale Schuurmans · Jure Leskovec · Denny Zhou
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
DORO: Distributional and Outlier Robust Optimization
In Poster Session 4
Runtian Zhai · Chen Dan · Zico Kolter · Pradeep Ravikumar
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Quantifying Ignorance in Individual-Level Causal-Effect Estimates under Hidden Confounding
In Poster Session 4
Andrew Jesson · Sören Mindermann · Yarin Gal · Uri Shalit
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Safe Reinforcement Learning Using Advantage-Based Intervention
In Poster Session 4
Nolan Wagener · Byron Boots · Ching-An Cheng
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Train simultaneously, generalize better: Stability of gradient-based minimax learners
In Poster Session 4
Farzan Farnia · Asuman Ozdaglar
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Best Arm Identification in Graphical Bilinear Bandits
In Poster Session 4
Geovani Rizk · Albert Thomas · Igor Colin · Rida Laraki · Yann Chevaleyre
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Understanding Invariance via Feedforward Inversion of Discriminatively Trained Classifiers
In Poster Session 4
Piotr Teterwak · Chiyuan Zhang · Dilip Krishnan · Michael Mozer
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Representation Matters: Assessing the Importance of Subgroup Allocations in Training Data
In Poster Session 4
Esther Rolf · Theodora Worledge · Benjamin Recht · Michael Jordan
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
A Distribution-dependent Analysis of Meta Learning
In Poster Session 4
Mikhail Konobeev · Ilja Kuzborskij · Csaba Szepesvari
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Non-Exponentially Weighted Aggregation: Regret Bounds for Unbounded Loss Functions
In Poster Session 4
Pierre Alquier
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Deep Latent Graph Matching
In Poster Session 4
Tianshu Yu · Runzhong Wang · Junchi Yan · baoxin Li
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Near-Optimal Linear Regression under Distribution Shift
In Poster Session 4
Qi Lei · Wei Hu · Jason Lee
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Multi-layered Network Exploration via Random Walks: From Offline Optimization to Online Learning
In Poster Session 4
Xutong Liu · Jinhang Zuo · Xiaowei Chen · Wei Chen · John C. S. Lui
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Beyond $log^2(T)$ regret for decentralized bandits in matching markets
In Poster Session 4
Soumya Basu · Karthik Abinav Sankararaman · Abishek Sankararaman
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
An End-to-End Framework for Molecular Conformation Generation via Bilevel Programming
In Poster Session 4
Minkai Xu · Wujie Wang · Shitong Luo · Chence Shi · Yoshua Bengio · Rafael Gomez-Bombarelli · Jian Tang
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Improved Corruption Robust Algorithms for Episodic Reinforcement Learning
In Poster Session 4
Yifang Chen · Simon Du · Kevin Jamieson
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Doubly Robust Off-Policy Actor-Critic: Convergence and Optimality
In Poster Session 4
Tengyu Xu · Zhuoran Yang · Zhaoran Wang · Yingbin LIANG
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
SAINT-ACC: Safety-Aware Intelligent Adaptive Cruise Control for Autonomous Vehicles Using Deep Reinforcement Learning
In Poster Session 4
Lokesh Chandra Das · Myounggyu Won
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Lower-Bounded Proper Losses for Weakly Supervised Classification
In Poster Session 4
Shuhei M Yoshida · Takashi Takenouchi · Masashi Sugiyama
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
KO codes: inventing nonlinear encoding and decoding for reliable wireless communication via deep-learning
In Poster Session 4
Ashok Vardhan Makkuva · Xiyang Liu · Mohammad Vahid Jamali · Hessam Mahdavifar · Sewoong Oh · Pramod Viswanath
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Probabilistic Programs with Stochastic Conditioning
In Poster Session 4
David Tolpin · Yuan Zhou · Tom Rainforth · Hongseok Yang
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Asymmetric Loss Functions for Learning with Noisy Labels
In Poster Session 4
Xiong Zhou · Xianming Liu · Junjun Jiang · Xin Gao · Xiangyang Ji
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
UCB Momentum Q-learning: Correcting the bias without forgetting
In Poster Session 4
Pierre Menard · Omar Darwiche Domingues · Xuedong Shang · Michal Valko
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Approximation Theory Based Methods for RKHS Bandits
In Poster Session 4
Sho Takemori · Masahiro Sato
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Fast active learning for pure exploration in reinforcement learning
In Poster Session 4
Pierre Menard · Omar Darwiche Domingues · Anders Jonsson · Emilie Kaufmann · Edouard Leurent · Michal Valko
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
SagaNet: A Small Sample Gated Network for Pediatric Cancer Diagnosis
In Poster Session 4
Yuhan Liu · Shiliang Sun
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Optimal Streaming Algorithms for Multi-Armed Bandits
In Poster Session 4
Tianyuan Jin · Keke Huang · Jing Tang · Xiaokui Xiao
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Learning Optimal Auctions with Correlated Valuations from Samples
In Poster Session 4
CHUNXUE YANG · Xiaohui Bei
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Near-Optimal Model-Free Reinforcement Learning in Non-Stationary Episodic MDPs
In Poster Session 4
Weichao Mao · Kaiqing Zhang · Ruihao Zhu · David Simchi-Levi · Tamer Basar
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Asymptotics of Ridge Regression in Convolutional Models
In Poster Session 4
Mojtaba Sahraee-Ardakan · Tung Mai · Anup Rao · Ryan A. Rossi · Sundeep Rangan · Alyson Fletcher
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Achieving Near Instance-Optimality and Minimax-Optimality in Stochastic and Adversarial Linear Bandits Simultaneously
In Poster Session 4
Chung-Wei Lee · Haipeng Luo · Chen-Yu Wei · Mengxiao Zhang · Xiaojin Zhang
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Versatile Verification of Tree Ensembles
In Poster Session 4
Laurens Devos · Wannes Meert · Jesse Davis
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Geometry of the Loss Landscape in Overparameterized Neural Networks: Symmetries and Invariances
In Poster Session 4
Berfin Simsek · François Ged · Arthur Jacot · Francesco Spadaro · Clement Hongler · Wulfram Gerstner · Johanni Brea
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Randomized Exploration in Reinforcement Learning with General Value Function Approximation
In Poster Session 4
Haque Ishfaq · Qiwen Cui · Viet Nguyen · Alex Ayoub · Zhuoran Yang · Zhaoran Wang · Doina Precup · Lin Yang
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Trees with Attention for Set Prediction Tasks
In Poster Session 4
Roy Hirsch · Ran Gilad-Bachrach
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Infinite-Dimensional Optimization for Zero-Sum Games via Variational Transport
In Poster Session 4
Lewis Liu · Yufeng Zhang · Zhuoran Yang · Reza Babanezhad · Zhaoran Wang
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Quasi-global Momentum: Accelerating Decentralized Deep Learning on Heterogeneous Data
In Poster Session 4
Tao Lin · Sai Praneeth Reddy Karimireddy · Sebastian Stich · Martin Jaggi
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
An Integer Linear Programming Framework for Mining Constraints from Data
In Poster Session 4
Tao Meng · Kai-Wei Chang
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Sparsity-Agnostic Lasso Bandit
In Poster Session 4
Min-hwan Oh · Garud Iyengar · Assaf Zeevi
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Diffusion Source Identification on Networks with Statistical Confidence
In Poster Session 4
Quinlan Dawkins · Tianxi Li · Haifeng Xu
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Break-It-Fix-It: Unsupervised Learning for Program Repair
In Poster Session 4
Michihiro Yasunaga · Percy Liang
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Autoregressive Denoising Diffusion Models for Multivariate Probabilistic Time Series Forecasting
In Poster Session 4
Kashif Rasul · Calvin Seward · Ingmar Schuster · Roland Vollgraf
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
A Novel Method to Solve Neural Knapsack Problems
In Poster Session 4
Duanshun Li · Jing Liu · Dongeun Lee · Ali S. Mazloom · Giridhar Kaushik · Kookjin Lee · Noseong Park
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Label Distribution Learning Machine
In Poster Session 4
Jing Wang · Xin Geng
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Finding the Stochastic Shortest Path with Low Regret: the Adversarial Cost and Unknown Transition Case
In Poster Session 4
Liyu Chen · Haipeng Luo
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Gaussian Process-Based Real-Time Learning for Safety Critical Applications
In Poster Session 4
Armin Lederer · Alejandro Ordóñez Conejo · Korbinian Maier · Wenxin Xiao · Jonas Umlauft · Sandra Hirche
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Making Paper Reviewing Robust to Bid Manipulation Attacks
In Poster Session 4
Ruihan Wu · Chuan Guo · Felix Wu · Rahul Kidambi · Laurens van der Maaten · Kilian Weinberger
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Cumulants of Hawkes Processes are Robust to Observation Noise
In Poster Session 4
William Trouleau · Jalal Etesami · Matthias Grossglauser · Negar Kiyavash · Patrick Thiran
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Multi-Dimensional Classification via Sparse Label Encoding
In Poster Session 4
BINBIN JIA · Min-Ling Zhang
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Understanding the Dynamics of Gradient Flow in Overparameterized Linear models
In Poster Session 4
Salma Tarmoun · Guilherme Franca · Benjamin Haeffele · Rene Vidal
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
On Robust Mean Estimation under Coordinate-level Corruption
In Poster Session 4
Zifan Liu · Jong Ho Park · Theo Rekatsinas · Christos Tzamos
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Scaling Properties of Deep Residual Networks
In Poster Session 4
Alain-Sam Cohen · Rama Cont · Alain Rossier · Renyuan Xu
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
On Perceptual Lossy Compression: The Cost of Perceptual Reconstruction and An Optimal Training Framework
In Poster Session 4
Zeyu Yan · Fei Wen · rendong Ying · Chao Ma · Peilin Liu
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Z-GCNETs: Time Zigzags at Graph Convolutional Networks for Time Series Forecasting
In Poster Session 4
Yuzhou Chen · Ignacio Segovia Dominguez · Yulia R Gel
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Learning Gradient Fields for Molecular Conformation Generation
In Poster Session 4
Chence Shi · Shitong Luo · Minkai Xu · Jian Tang
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Almost Optimal Anytime Algorithm for Batched Multi-Armed Bandits
In Poster Session 4
Tianyuan Jin · Jing Tang · Pan Xu · Keke Huang · Xiaokui Xiao · Quanquan Gu
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Noise and Fluctuation of Finite Learning Rate Stochastic Gradient Descent
In Poster Session 4
Kangqiao Liu · Liu Ziyin · Masahito Ueda
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
ACE: Explaining cluster from an adversarial perspective
In Poster Session 4
Yang Lu · Timothy C Yu · Giancarlo Bonora · William Stafford Noble
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Confidence-Budget Matching for Sequential Budgeted Learning
In Poster Session 4
Yonathan Efroni · Nadav Merlis · Aadirupa Saha · Shie Mannor
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Segmenting Hybrid Trajectories using Latent ODEs
In Poster Session 4
Ruian Shi · Quaid Morris
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Dynamic Planning and Learning under Recovering Rewards
In Poster Session 4
David Simchi-Levi · Zeyu Zheng · Feng Zhu
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Resource Allocation in Multi-armed Bandit Exploration: Overcoming Sublinear Scaling with Adaptive Parallelism
In Poster Session 4
Brijen Thananjeyan · Kirthevasan Kandasamy · Ion Stoica · Michael Jordan · Ken Goldberg · Joseph E Gonzalez
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Logarithmic Regret for Reinforcement Learning with Linear Function Approximation
In Poster Session 4
Jiafan He · Dongruo Zhou · Quanquan Gu
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Consistent regression when oblivious outliers overwhelm
In Poster Session 4
Tommaso d'Orsi · Gleb Novikov · David Steurer
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Approximation Theory of Convolutional Architectures for Time Series Modelling
In Poster Session 4
Haotian Jiang · Zhong Li · Qianxiao Li
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Improved OOD Generalization via Adversarial Training and Pretraing
In Poster Session 4
Mingyang Yi · Lu Hou · Jiacheng Sun · Lifeng Shang · Xin Jiang · Qun Liu · Zhiming Ma
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Combinatorial Blocking Bandits with Stochastic Delays
In Poster Session 4
Alexia Atsidakou · Orestis Papadigenopoulos · Soumya Basu · Constantine Caramanis · Sanjay Shakkottai
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Conformal prediction interval for dynamic time-series
In Poster Session 4
Chen Xu · Yao Xie
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Adversarial Dueling Bandits
In Poster Session 4
Aadirupa Saha · Tomer Koren · Yishay Mansour
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
On the Generalization Power of Overfitted Two-Layer Neural Tangent Kernel Models
In Poster Session 4
Peizhong Ju · Xiaojun Lin · Ness Shroff
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
A theory of high dimensional regression with arbitrary correlations between input features and target functions: sample complexity, multiple descent curves and a hierarchy of phase transitions
In Poster Session 4
Gabriel Mel · Surya Ganguli
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Understanding self-supervised learning dynamics without contrastive pairs
In Poster Session 4
Yuandong Tian · Xinlei Chen · Surya Ganguli
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Improved Regret Bounds of Bilinear Bandits using Action Space Analysis
In Poster Session 4
Kyoungseok Jang · Kwang-Sung Jun · Se-Young Yun · Wanmo Kang
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Discrete-Valued Latent Preference Matrix Estimation with Graph Side Information
In Poster Session 4
Changhun Jo · Kangwook Lee
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Top-k eXtreme Contextual Bandits with Arm Hierarchy
In Poster Session 4
Rajat Sen · Alexander Rakhlin · Lexing Ying · Rahul Kidambi · Dean Foster · Daniel Hill · Inderjit Dhillon
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
The Implicit Bias for Adaptive Optimization Algorithms on Homogeneous Neural Networks
In Poster Session 4
Bohan Wang · Qi Meng · Wei Chen · Tie-Yan Liu
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Robust Policy Gradient against Strong Data Corruption
In Poster Session 4
Xuezhou Zhang · Yiding Chen · Jerry Zhu · Wen Sun
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Robust Pure Exploration in Linear Bandits with Limited Budget
In Poster Session 4
Ayya Alieva · Ashok Cutkosky · Abhimanyu Das
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Towards Distraction-Robust Active Visual Tracking
In Poster Session 4
Fangwei Zhong · Peng Sun · Wenhan Luo · Tingyun Yan · Yizhou Wang
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Model Performance Scaling with Multiple Data Sources
In Poster Session 4
Tatsunori Hashimoto
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Online Learning in Unknown Markov Games
In Poster Session 4
Yi Tian · Yuanhao Wang · Tiancheng Yu · Suvrit Sra
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Stability and Generalization of Stochastic Gradient Methods for Minimax Problems
In Poster Session 4
Yunwen Lei · Zhenhuan Yang · Tianbao Yang · Yiming Ying
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
End-to-End Learning of Coherent Probabilistic Forecasts for Hierarchical Time Series
In Poster Session 4
Syama Sundar Yadav Rangapuram · Lucien Werner · Konstantinos Benidis · Pedro Mercado · Jan Gasthaus · Tim Januschowski
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Sample-Optimal PAC Learning of Halfspaces with Malicious Noise
In Poster Session 4
Jie Shen
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Online Learning for Load Balancing of Unknown Monotone Resource Allocation Games
In Poster Session 4
Ilai Bistritz · Nicholas Bambos
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
DriftSurf: Stable-State / Reactive-State Learning under Concept Drift
In Poster Session 4
Ashraf Tahmasbi · Ellango Jothimurugesan · Srikanta Tirthapura · Phillip Gibbons
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Heterogeneous Risk Minimization
In Poster Session 4
Jiashuo Liu · Zheyuan Hu · Peng Cui · Bo Li · Zheyan Shen
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
How Important is the Train-Validation Split in Meta-Learning?
In Poster Session 4
Yu Bai · Minshuo Chen · Pan Zhou · Tuo Zhao · Jason Lee · Sham Kakade · Huan Wang · Caiming Xiong
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Consensus Control for Decentralized Deep Learning
In Poster Session 4
Lingjing Kong · Tao Lin · Anastasiia Koloskova · Martin Jaggi · Sebastian Stich
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Multidimensional Scaling: Approximation and Complexity
In Poster Session 4
Erik Demaine · Adam C Hesterberg · Frederic Koehler · Jayson Lynch · John C Urschel
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Towards Tight Bounds on the Sample Complexity of Average-reward MDPs
In Poster Session 4
Yujia Jin · Aaron Sidford
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Dynamic Balancing for Model Selection in Bandits and RL
In Poster Session 4
Ashok Cutkosky · Christoph Dann · Abhimanyu Das · Claudio Gentile · Aldo Pacchiano · Manish Purohit
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
A Precise Performance Analysis of Support Vector Regression
In Poster Session 4
Houssem Sifaou · Abla Kammoun · Mohamed-Slim Alouini
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
GRAD-MATCH: Gradient Matching based Data Subset Selection for Efficient Deep Model Training
In Poster Session 4
Krishnateja Killamsetty · Durga S · Ganesh Ramakrishnan · Abir De · Rishabh Iyer
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
HyperHyperNetwork for the Design of Antenna Arrays
In Poster Session 4
Shahar Lutati · Lior Wolf
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Implicit rate-constrained optimization of non-decomposable objectives
In Poster Session 4
Abhishek Kumar · Harikrishna Narasimhan · Andrew Cotter
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Adaptive Newton Sketch: Linear-time Optimization with Quadratic Convergence and Effective Hessian Dimensionality
In Poster Session 4
Jonathan Lacotte · Yifei Wang · Mert Pilanci
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Leveraging Non-uniformity in First-order Non-convex Optimization
In Poster Session 4
Jincheng Mei · Yue Gao · Bo Dai · Csaba Szepesvari · Dale Schuurmans
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Solving Inverse Problems with a Flow-based Noise Model
In Poster Session 4
Jay Whang · Qi Lei · Alexandros Dimakis
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
On the Inherent Regularization Effects of Noise Injection During Training
In Poster Session 4
Oussama Dhifallah · Yue Lu
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Sample Complexity of Robust Linear Classification on Separated Data
In Poster Session 4
Robi Bhattacharjee · Somesh Jha · Kamalika Chaudhuri
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Provable Meta-Learning of Linear Representations
In Poster Session 4
Nilesh Tripuraneni · Chi Jin · Michael Jordan
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Provably Efficient Algorithms for Multi-Objective Competitive RL
In Poster Session 4
Tiancheng Yu · Yi Tian · Jingzhao Zhang · Suvrit Sra
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Robust Unsupervised Learning via L-statistic Minimization
In Poster Session 4
Andreas Maurer · Daniela Angela Parletta · Andrea Paudice · Massimiliano Pontil
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
How and Why to Use Experimental Data to Evaluate Methods for Observational Causal Inference
In Poster Session 4
Amanda Gentzel · Purva Pruthi · David Jensen
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Sample Efficient Reinforcement Learning In Continuous State Spaces: A Perspective Beyond Linearity
In Poster Session 4
Dhruv Malik · Aldo Pacchiano · Vishwak Srinivasan · Yuanzhi Li
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
The Symmetry between Arms and Knapsacks: A Primal-Dual Approach for Bandits with Knapsacks
In Poster Session 4
Xiaocheng Li · Chunlin Sun · Yinyu Ye
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Outside the Echo Chamber: Optimizing the Performative Risk
In Poster Session 4
John Miller · Juan Perdomo · Tijana Zrnic
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
MOTS: Minimax Optimal Thompson Sampling
In Poster Session 4
Tianyuan Jin · Pan Xu · Jieming Shi · Xiaokui Xiao · Quanquan Gu
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
CRPO: A New Approach for Safe Reinforcement Learning with Convergence Guarantee
In Poster Session 4
Tengyu Xu · Yingbin LIANG · Guanghui Lan
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Interaction-Grounded Learning
In Poster Session 4
Tengyang Xie · John Langford · Paul Mineiro · Ida Momennejad
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Event Outlier Detection in Continuous Time
In Poster Session 4
Siqi Liu · Milos Hauskrecht
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Understanding Noise Injection in GANs
In Poster Session 4
Ruili Feng · Deli Zhao · Zheng-Jun Zha
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Learning by Turning: Neural Architecture Aware Optimisation
In Poster Session 4
Yang Liu · Jeremy Bernstein · Markus Meister · Yisong Yue
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Incentivized Bandit Learning with Self-Reinforcing User Preferences
In Poster Session 4
Tianchen Zhou · Jia Liu · Chaosheng Dong · jingyuan deng
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Quantile Bandits for Best Arms Identification
In Poster Session 4
Mengyan Zhang · Cheng Soon Ong
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Breaking the Deadly Triad with a Target Network
In Poster Session 4
Shangtong Zhang · Hengshuai Yao · Shimon Whiteson
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Asymptotic Normality and Confidence Intervals for Prediction Risk of the Min-Norm Least Squares Estimator
In Poster Session 4
Zeng Li · Chuanlong Xie · Qinwen Wang
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
AdaXpert: Adapting Neural Architecture for Growing Data
In Poster Session 4
Shuaicheng Niu · Jiaxiang Wu · Guanghui Xu · Yifan Zhang · Yong Guo · Peilin Zhao · Peng Wang · Mingkui Tan
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Sparse Feature Selection Makes Batch Reinforcement Learning More Sample Efficient
In Poster Session 4
Botao Hao · Yaqi Duan · Tor Lattimore · Csaba Szepesvari · Mengdi Wang
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Catastrophic Fisher Explosion: Early Phase Fisher Matrix Impacts Generalization
In Poster Session 4
Stanislaw Jastrzebski · Devansh Arpit · Oliver Astrand · Giancarlo Kerg · Huan Wang · Caiming Xiong · Richard Socher · Kyunghyun Cho · Krzysztof J Geras
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT) @ Virtual
Near-Optimal Representation Learning for Linear Bandits and Linear RL
In Poster Session 4
Jiachen Hu · Xiaoyu Chen · Chi Jin · Lihong Li · Liwei Wang
Poster
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Exponential Lower Bounds for Batch Reinforcement Learning: Batch RL can be Exponentially Harder than Online RL
In Poster Session 4
Andrea Zanette
Session
Wed Jul 21 09:00 PM -- 11:00 PM (PDT)
Poster Session 4
Oral
Thu Jul 22 05:00 AM -- 05:20 AM (PDT)
Tighter Bounds on the Log Marginal Likelihood of Gaussian Process Regression Using Conjugate Gradients
In Gaussian Processes 1
Artem Artemev · David Burt · Mark van der Wilk
[ Paper ]
Oral
Thu Jul 22 05:00 AM -- 05:20 AM (PDT)
Fair Selective Classification Via Sufficiency
In Fairness
Joshua Lee · Yuheng Bu · Deepta Rajan · Prasanna Sattigeri · Rameswar Panda · Subhro Das · Gregory Wornell
[ Paper ]
Oral
Thu Jul 22 05:00 AM -- 05:20 AM (PDT)
Modularity in Reinforcement Learning via Algorithmic Independence in Credit Assignment
In Reinforcement Learning 15
Michael Chang · Sid Kaushik · Sergey Levine · Thomas Griffiths
[ Paper ]
Oral
Thu Jul 22 05:00 AM -- 05:20 AM (PDT)
Differentiable Particle Filtering via Entropy-Regularized Optimal Transport
In Probabilistic Methods 2
Adrien Corenflos · James Thornton · George Deligiannidis · Arnaud Doucet
[ Paper ]
Oral
Thu Jul 22 05:00 AM -- 05:20 AM (PDT)
Local Algorithms for Finding Densely Connected Clusters
In Unsupervised Learning 1
Peter Macgregor · He Sun
[ Paper ]
Oral
Thu Jul 22 05:00 AM -- 05:20 AM (PDT)
Coded-InvNet for Resilient Prediction Serving Systems
In Systems and Hardware
Tuan Dinh · Kangwook Lee
[ Paper ]
Oral
Thu Jul 22 05:00 AM -- 05:20 AM (PDT)
Confidence Scores Make Instance-dependent Label-noise Learning Possible
In Semisupervised Learning 1
Antonin Berthon · Bo Han · Gang Niu · Tongliang Liu · Masashi Sugiyama
[ Paper ]
Oral
Thu Jul 22 05:00 AM -- 05:20 AM (PDT)
Tilting the playing field: Dynamical loss functions for machine learning
In Deep Learning Theory 6
Miguel Ruiz Garcia · Ge Zhang · Samuel Schoenholz · Andrea Liu
[ Paper ]
Oral
Thu Jul 22 05:00 AM -- 05:20 AM (PDT)
Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision
In Representation Learning 1
Chao Jia · Yinfei Yang · Ye Xia · Yi-Ting Chen · Zarana Parekh · Hieu Pham · Quoc Le · Yun-Hsuan Sung · Zhen Li · Tom Duerig
[ Paper ]
Spotlight
Thu Jul 22 05:20 AM -- 05:25 AM (PDT)
DAGs with No Curl: An Efficient DAG Structure Learning Approach
In Probabilistic Methods 2
Yue Yu · Tian Gao · Naiyu Yin · Qiang Ji
[ Paper ]
Spotlight
Thu Jul 22 05:20 AM -- 05:25 AM (PDT)
GRAND: Graph Neural Diffusion
In Representation Learning 1
Ben Chamberlain · James Rowbottom · Maria Gorinova · Michael Bronstein · Stefan Webb · Emanuele Rossi
[ Paper ]
Spotlight
Thu Jul 22 05:20 AM -- 05:25 AM (PDT)
Adversarial Robustness Guarantees for Random Deep Neural Networks
In Deep Learning Theory 6
Giacomo De Palma · Bobak T Kiani · Seth Lloyd
[ Paper ]
Spotlight
Thu Jul 22 05:20 AM -- 05:25 AM (PDT)
Systematic Analysis of Cluster Similarity Indices: How to Validate Validation Measures
In Unsupervised Learning 1
Martijn Gösgens · Aleksei Tikhonov · Liudmila Prokhorenkova
[ Paper ]
Spotlight
Thu Jul 22 05:20 AM -- 05:25 AM (PDT)
Isometric Gaussian Process Latent Variable Model for Dissimilarity Data
In Gaussian Processes 1
Martin Jørgensen · Søren Hauberg
[ Paper ]
Spotlight
Thu Jul 22 05:20 AM -- 05:25 AM (PDT)
Dataset Condensation with Differentiable Siamese Augmentation
In Reinforcement Learning 15
Bo Zhao · Hakan Bilen
[ Paper ]
Spotlight
Thu Jul 22 05:20 AM -- 05:25 AM (PDT)
Memory-Efficient Pipeline-Parallel DNN Training
In Systems and Hardware
Deepak Narayanan · Amar Phanishayee · Kaiyu Shi · Xie Chen · Matei Zaharia
[ Paper ]
Spotlight
Thu Jul 22 05:20 AM -- 05:25 AM (PDT)
Learning Representations by Humans, for Humans
In Fairness
Sophie Hilgard · Nir Rosenfeld · Mahzarin Banaji · Jack Cao · David Parkes
[ Paper ]
Spotlight
Thu Jul 22 05:20 AM -- 05:25 AM (PDT)
Non-Negative Bregman Divergence Minimization for Deep Direct Density Ratio Estimation
In Semisupervised Learning 1
Masahiro Kato · Takeshi Teshima
[ Paper ]
Spotlight
Thu Jul 22 05:25 AM -- 05:30 AM (PDT)
Self-Damaging Contrastive Learning
In Semisupervised Learning 1
Ziyu Jiang · Tianlong Chen · Bobak Mortazavi · Zhangyang “Atlas” Wang
[ Paper ]
Spotlight
Thu Jul 22 05:25 AM -- 05:30 AM (PDT)
Strategic Classification in the Dark
In Fairness
Ganesh Ghalme · Vineet Nair · Itay Eilat · Inbal Talgam-Cohen · Nir Rosenfeld
[ Paper ]
Spotlight
Thu Jul 22 05:25 AM -- 05:30 AM (PDT)
Generalized Doubly Reparameterized Gradient Estimators
In Probabilistic Methods 2
Matthias Bauer · Andriy Mnih
[ Paper ]
Spotlight
Thu Jul 22 05:25 AM -- 05:30 AM (PDT)
Local Correlation Clustering with Asymmetric Classification Errors
In Unsupervised Learning 1
Jafar Jafarov · Sanchit Kalhan · Konstantin Makarychev · Yury Makarychev
[ Paper ]
Spotlight
Thu Jul 22 05:25 AM -- 05:30 AM (PDT)
PACOH: Bayes-Optimal Meta-Learning with PAC-Guarantees
In Reinforcement Learning 15
Jonas Rothfuss · Vincent Fortuin · Martin Josifoski · Andreas Krause
[ Paper ]
Spotlight
Thu Jul 22 05:25 AM -- 05:30 AM (PDT)
Implicit Bias of Linear RNNs
In Deep Learning Theory 6
Melikasadat Emami · Mojtaba Sahraee-Ardakan · Parthe Pandit · Sundeep Rangan · Alyson Fletcher
[ Paper ]
Spotlight
Thu Jul 22 05:25 AM -- 05:30 AM (PDT)
On Linear Identifiability of Learned Representations
In Representation Learning 1
Geoffrey Roeder · Luke Metz · Durk Kingma
[ Paper ]
Spotlight
Thu Jul 22 05:25 AM -- 05:30 AM (PDT)
Putting the ``Learning" into Learning-Augmented Algorithms for Frequency Estimation
In Systems and Hardware
Elbert Du · Franklyn Wang · Michael Mitzenmacher
[ Paper ]
Spotlight
Thu Jul 22 05:25 AM -- 05:30 AM (PDT)
Variational Auto-Regressive Gaussian Processes for Continual Learning
In Gaussian Processes 1
Sanyam Kapoor · Theofanis Karaletsos · Thang Bui
[ Paper ]
Spotlight
Thu Jul 22 05:30 AM -- 05:35 AM (PDT)
Class2Simi: A Noise Reduction Perspective on Learning with Noisy Labels
In Semisupervised Learning 1
Songhua Wu · Xiaobo Xia · Tongliang Liu · Bo Han · Mingming Gong · Nannan Wang · Haifeng Liu · Gang Niu
[ Paper ]
Spotlight
Thu Jul 22 05:30 AM -- 05:35 AM (PDT)
Learning disentangled representations via product manifold projection
In Representation Learning 1
Marco Fumero · Luca Cosmo · Simone Melzi · Emanuele Rodola
[ Paper ]
Spotlight
Thu Jul 22 05:30 AM -- 05:35 AM (PDT)
Near-Optimal Algorithms for Explainable k-Medians and k-Means
In Unsupervised Learning 1
Konstantin Makarychev · Liren Shan
[ Paper ]
Spotlight
Thu Jul 22 05:30 AM -- 05:35 AM (PDT)
Robust Testing and Estimation under Manipulation Attacks
In Systems and Hardware
Jayadev Acharya · Ziteng Sun · Huanyu Zhang
[ Paper ]
Spotlight
Thu Jul 22 05:30 AM -- 05:35 AM (PDT)
Analyzing the tree-layer structure of Deep Forests
In Deep Learning Theory 6
Ludovic Arnould · Claire Boyer · Erwan Scornet
[ Paper ]
Spotlight
Thu Jul 22 05:30 AM -- 05:35 AM (PDT)
Fairness for Image Generation with Uncertain Sensitive Attributes
In Fairness
Ajil Jalal · Sushrut Karmalkar · Jessica Hoffmann · Alexandros Dimakis · Eric Price
[ Paper ]
Spotlight
Thu Jul 22 05:30 AM -- 05:35 AM (PDT)
Whittle Networks: A Deep Likelihood Model for Time Series
In Probabilistic Methods 2
Zhongjie Yu · Fabrizio Ventola · Kristian Kersting
[ Paper ]
Spotlight
Thu Jul 22 05:30 AM -- 05:35 AM (PDT)
Sparse within Sparse Gaussian Processes using Neighbor Information
In Gaussian Processes 1
Gia-Lac Tran · Dimitrios Milios · Pietro Michiardi · Maurizio Filippone
[ Paper ]
Spotlight
Thu Jul 22 05:30 AM -- 05:35 AM (PDT)
Parameterless Transductive Feature Re-representation for Few-Shot Learning
In Reinforcement Learning 15
Wentao Cui · Yuhong Guo
[ Paper ]
Spotlight
Thu Jul 22 05:35 AM -- 05:40 AM (PDT)
On the Convergence of Hamiltonian Monte Carlo with Stochastic Gradients
In Probabilistic Methods 2
Difan Zou · Quanquan Gu
[ Paper ]
Spotlight
Thu Jul 22 05:35 AM -- 05:40 AM (PDT)
A Collective Learning Framework to Boost GNN Expressiveness for Node Classification
In Representation Learning 1
Mengyue Hang · Jennifer Neville · Bruno Ribeiro
[ Paper ]
Spotlight
Thu Jul 22 05:35 AM -- 05:40 AM (PDT)
Sharing Less is More: Lifelong Learning in Deep Networks with Selective Layer Transfer
In Reinforcement Learning 15
Seungwon Lee · Sima Behpour · Eric Eaton
[ Paper ]
Spotlight
Thu Jul 22 05:35 AM -- 05:40 AM (PDT)
Optimization Planning for 3D ConvNets
In Systems and Hardware
Zhaofan Qiu · Ting Yao · Chong-Wah Ngo · Tao Mei
[ Paper ]
Spotlight
Thu Jul 22 05:35 AM -- 05:40 AM (PDT)
BasisDeVAE: Interpretable Simultaneous Dimensionality Reduction and Feature-Level Clustering with Derivative-Based Variational Autoencoders
In Unsupervised Learning 1
Dominic Danks · Christopher Yau
[ Paper ]
Spotlight
Thu Jul 22 05:35 AM -- 05:40 AM (PDT)
Characterizing Fairness Over the Set of Good Models Under Selective Labels
In Fairness
Amanda Coston · Ashesh Rambachan · Alexandra Chouldechova
[ Paper ]
Spotlight
Thu Jul 22 05:35 AM -- 05:40 AM (PDT)
GNNAutoScale: Scalable and Expressive Graph Neural Networks via Historical Embeddings
In Semisupervised Learning 1
Matthias Fey · Jan Eric Lenssen · Frank Weichert · Jure Leskovec
[ Paper ]
Spotlight
Thu Jul 22 05:35 AM -- 05:40 AM (PDT)
SigGPDE: Scaling Sparse Gaussian Processes on Sequential Data
In Gaussian Processes 1
Maud Lemercier · Cristopher Salvi · Thomas Cass · Edwin V Bonilla · Theodoros Damoulas · Terry Lyons
[ Paper ]
Spotlight
Thu Jul 22 05:35 AM -- 05:40 AM (PDT)
Quantifying the Benefit of Using Differentiable Learning over Tangent Kernels
In Deep Learning Theory 6
Eran Malach · Pritish Kamath · Emmanuel Abbe · Nati Srebro
[ Paper ]
Spotlight
Thu Jul 22 05:40 AM -- 05:45 AM (PDT)
Hierarchical Clustering of Data Streams: Scalable Algorithms and Approximation Guarantees
In Unsupervised Learning 1
Anand Rajagopalan · Fabio Vitale · Danny Vainstein · Gui Citovsky · Cecilia Procopiuc · Claudio Gentile
[ Paper ]
Spotlight
Thu Jul 22 05:40 AM -- 05:45 AM (PDT)
Directed Graph Embeddings in Pseudo-Riemannian Manifolds
In Representation Learning 1
Aaron Sim · Maciej Wiatrak · Angus Brayne · Páidí Creed · Saee Paliwal
[ Paper ]
Spotlight
Thu Jul 22 05:40 AM -- 05:45 AM (PDT)
Robust Learning-Augmented Caching: An Experimental Study
In Systems and Hardware
Jakub Chłędowski · Adam Polak · Bartosz Szabucki · Konrad Zolna
[ Paper ]
Spotlight
Thu Jul 22 05:40 AM -- 05:45 AM (PDT)
Implicit Regularization in Tensor Factorization
In Deep Learning Theory 6
Noam Razin · Asaf Maman · Nadav Cohen
[ Paper ]
Spotlight
Thu Jul 22 05:40 AM -- 05:45 AM (PDT)
Memory Efficient Online Meta Learning
In Reinforcement Learning 15
Durmus Alp Emre Acar · Ruizhao Zhu · Venkatesh Saligrama
[ Paper ]
Spotlight
Thu Jul 22 05:40 AM -- 05:45 AM (PDT)
Neural Transformation Learning for Deep Anomaly Detection Beyond Images
In Semisupervised Learning 1
Chen Qiu · Timo Pfrommer · Marius Kloft · Stephan Mandt · Maja Rudolph
[ Paper ]
Spotlight
Thu Jul 22 05:40 AM -- 05:45 AM (PDT)
GANMEX: One-vs-One Attributions using GAN-based Model Explainability
In Fairness
Sheng-Min Shih · Pin-Ju Tien · Zohar Karnin
[ Paper ]
Spotlight
Thu Jul 22 05:40 AM -- 05:45 AM (PDT)
On Signal-to-Noise Ratio Issues in Variational Inference for Deep Gaussian Processes
In Gaussian Processes 1
Tim G. J. Rudner · Oscar Key · Yarin Gal · Tom Rainforth
[ Paper ]
Spotlight
Thu Jul 22 05:40 AM -- 05:45 AM (PDT)
Addressing Catastrophic Forgetting in Few-Shot Problems
In Probabilistic Methods 2
Pauching Yap · Hippolyt Ritter · David Barber
[ Paper ]
Spotlight
Thu Jul 22 05:45 AM -- 05:50 AM (PDT)
Directional Bias Amplification
In Fairness
Angelina Wang · Olga Russakovsky
[ Paper ]
Spotlight
Thu Jul 22 05:45 AM -- 05:50 AM (PDT)
Uniform Convergence, Adversarial Spheres and a Simple Remedy
In Deep Learning Theory 6
Gregor Bachmann · Seyed Moosavi · Thomas Hofmann
[ Paper ]
Spotlight
Thu Jul 22 05:45 AM -- 05:50 AM (PDT)
Bayesian Algorithm Execution: Estimating Computable Properties of Black-box Functions Using Mutual Information
In Probabilistic Methods 2
Willie Neiswanger · Ke Alexander Wang · Stefano Ermon
[ Paper ]
Spotlight
Thu Jul 22 05:45 AM -- 05:50 AM (PDT)
A Scalable Second Order Method for Ill-Conditioned Matrix Completion from Few Samples
In Unsupervised Learning 1
Christian Kümmerle · Claudio Mayrink Verdun
[ Paper ]
Spotlight
Thu Jul 22 05:45 AM -- 05:50 AM (PDT)
Detecting Rewards Deterioration in Episodic Reinforcement Learning
In Reinforcement Learning 15
Ido Greenberg · Shie Mannor
[ Paper ]
Spotlight
Thu Jul 22 05:45 AM -- 05:50 AM (PDT)
Aggregating From Multiple Target-Shifted Sources
In Representation Learning 1
Changjian Shui · Zijian Li · Jiaqi Li · Christian Gagne · Charles X. Ling · Boyu Wang
[ Paper ]
Spotlight
Thu Jul 22 05:45 AM -- 05:50 AM (PDT)
Scalable Variational Gaussian Processes via Harmonic Kernel Decomposition
In Gaussian Processes 1
Shengyang Sun · Jiaxin Shi · Andrew Wilson · Roger Grosse
[ Paper ]
Spotlight
Thu Jul 22 05:45 AM -- 05:50 AM (PDT)
Wasserstein Distributional Normalization For Robust Distributional Certification of Noisy Labeled Data
In Semisupervised Learning 1
Sung Woo Park · Junseok Kwon
[ Paper ]
Spotlight
Thu Jul 22 05:45 AM -- 05:50 AM (PDT)
Parallel Droplet Control in MEDA Biochips using Multi-Agent Reinforcement Learning
In Systems and Hardware
Tung-Che Liang · Jin Zhou · Yun-Sheng Chan · Tsung-Yi Ho · Krishnendu Chakrabarty · Cy Lee
[ Paper ]
Q&A
Thu Jul 22 05:50 AM -- 05:55 AM (PDT)
Q&A
In Gaussian Processes 1
Q&A
Thu Jul 22 05:50 AM -- 05:55 AM (PDT)
Q&A
In Systems and Hardware
Q&A
Thu Jul 22 05:50 AM -- 05:55 AM (PDT)
Q&A
In Fairness
Q&A
Thu Jul 22 05:50 AM -- 05:55 AM (PDT)
Q&A
In Unsupervised Learning 1
Q&A
Thu Jul 22 05:50 AM -- 05:55 AM (PDT)
Q&A
In Representation Learning 1
Q&A
Thu Jul 22 05:50 AM -- 05:55 AM (PDT)
Q&A
In Reinforcement Learning 15
Q&A
Thu Jul 22 05:50 AM -- 05:55 AM (PDT)
Q&A
In Probabilistic Methods 2
Q&A
Thu Jul 22 05:50 AM -- 05:55 AM (PDT)
Q&A
In Deep Learning Theory 6
Q&A
Thu Jul 22 05:50 AM -- 05:55 AM (PDT)
Q&A
In Semisupervised Learning 1
Oral
Thu Jul 22 06:00 AM -- 06:20 AM (PDT)
Benchmarks, Algorithms, and Metrics for Hierarchical Disentanglement
In Representation Learning 2
Andrew Ross · Finale Doshi-Velez
[ Paper ]
Oral
Thu Jul 22 06:00 AM -- 06:20 AM (PDT)
I-BERT: Integer-only BERT Quantization
In Applications (NLP) 1
Sehoon Kim · Amir Gholaminejad · Zhewei Yao · Michael Mahoney · EECS Kurt Keutzer
[ Paper ]
Oral
Thu Jul 22 06:00 AM -- 06:20 AM (PDT)
Learning Noise Transition Matrix from Only Noisy Labels via Total Variation Regularization
In Semisupervised Learning 2
Yivan Zhang · Gang Niu · Masashi Sugiyama
[ Paper ]
Oral
Thu Jul 22 06:00 AM -- 06:20 AM (PDT)
Delving into Deep Imbalanced Regression
In Applications and Algorithms
Yuzhe Yang · Kaiwen Zha · YINGCONG CHEN · Hao Wang · Dina Katabi
[ Paper ]
Oral
Thu Jul 22 06:00 AM -- 06:20 AM (PDT)
Temporal Difference Learning as Gradient Splitting
In Learning Theory 14
Rui Liu · Alex Olshevsky
[ Paper ]
Oral
Thu Jul 22 06:00 AM -- 06:20 AM (PDT)
Dash: Semi-Supervised Learning with Dynamic Thresholding
In Semisupervised Learning 3
Yi Xu · Lei Shang · Jinxing Ye · Qi Qian · Yu-Feng Li · Baigui Sun · Hao Li · rong jin
[ Paper ]
Oral
Thu Jul 22 06:00 AM -- 06:20 AM (PDT)
Differentially Private Query Release Through Adaptive Projection
In Privacy 1
Sergul Aydore · William Brown · Michael Kearns · Krishnaram Kenthapadi · Luca Melis · Aaron Roth · Ankit Siva
[ Paper ]
Oral
Thu Jul 22 06:00 AM -- 06:20 AM (PDT)
Deep Adaptive Design: Amortizing Sequential Bayesian Experimental Design
In Bayesian Learning 1
Adam Foster · Desi Ivanova · ILYAS MALIK · Tom Rainforth
[ Paper ]
Oral
Thu Jul 22 06:00 AM -- 06:20 AM (PDT)
Improved, Deterministic Smoothing for L_1 Certified Robustness
In Adversarial Learning 1
Alexander Levine · Soheil Feizi
[ Paper ]
Spotlight
Thu Jul 22 06:20 AM -- 06:25 AM (PDT)
Mixed Nash Equilibria in the Adversarial Examples Game
In Adversarial Learning 1
Laurent Meunier · Meyer Scetbon · Rafael Pinot · Jamal Atif · Yann Chevaleyre
[ Paper ]
Spotlight
Thu Jul 22 06:20 AM -- 06:25 AM (PDT)
First-Order Methods for Wasserstein Distributionally Robust MDP
In Learning Theory 14
Julien Grand-Clement · Christian Kroer
[ Paper ]
Spotlight
Thu Jul 22 06:20 AM -- 06:25 AM (PDT)
On the Power of Localized Perceptron for Label-Optimal Learning of Halfspaces with Adversarial Noise
In Semisupervised Learning 2
Jie Shen
[ Paper ]
Spotlight
Thu Jul 22 06:20 AM -- 06:25 AM (PDT)
Whitening for Self-Supervised Representation Learning
In Representation Learning 2
Aleksandr Ermolov · Aliaksandr Siarohin · Enver Sangineto · Nicu Sebe
[ Paper ]
Spotlight
Thu Jul 22 06:20 AM -- 06:25 AM (PDT)
In-Database Regression in Input Sparsity Time
In Semisupervised Learning 3
Rajesh Jayaram · Alireza Samadian · David Woodruff · Peng Ye
[ Paper ]
Spotlight
Thu Jul 22 06:20 AM -- 06:25 AM (PDT)
SparseBERT: Rethinking the Importance Analysis in Self-attention
In Applications (NLP) 1
Han Shi · Jiahui Gao · Xiaozhe Ren · Hang Xu · Xiaodan Liang · Zhenguo Li · James Kwok
[ Paper ]
Spotlight
Thu Jul 22 06:20 AM -- 06:25 AM (PDT)
HAWQ-V3: Dyadic Neural Network Quantization
In Applications and Algorithms
Zhewei Yao · Zhen Dong · Zhangcheng Zheng · Amir Gholaminejad · Jiali Yu · Eric Tan · Leyuan Wang · Qijing Huang · Yida Wang · Michael Mahoney · EECS Kurt Keutzer
[ Paper ]
Spotlight
Thu Jul 22 06:20 AM -- 06:25 AM (PDT)
Differentially Private Quantiles
In Privacy 1
Jennifer Gillenwater · Matthew Joseph · Alex Kulesza
[ Paper ]
Spotlight
Thu Jul 22 06:20 AM -- 06:25 AM (PDT)
Beyond the Pareto Efficient Frontier: Constraint Active Search for Multiobjective Experimental Design
In Bayesian Learning 1
Gustavo Malkomes · Bolong Cheng · Eric Lee · Michael McCourt
[ Paper ]
Spotlight
Thu Jul 22 06:25 AM -- 06:30 AM (PDT)
CLOCS: Contrastive Learning of Cardiac Signals Across Space, Time, and Patients
In Semisupervised Learning 2
Dani Kiyasseh · Tingting Zhu · David Clifton
[ Paper ]
Spotlight
Thu Jul 22 06:25 AM -- 06:30 AM (PDT)
Learning to Generate Noise for Multi-Attack Robustness
In Adversarial Learning 1
Divyam Madaan · Jinwoo Shin · Sung Ju Hwang
[ Paper ]
Spotlight
Thu Jul 22 06:25 AM -- 06:30 AM (PDT)
PAPRIKA: Private Online False Discovery Rate Control
In Privacy 1
Wanrong Zhang · Gautam Kamath · Rachel Cummings
[ Paper ]
Spotlight
Thu Jul 22 06:25 AM -- 06:30 AM (PDT)
Binary Classification from Multiple Unlabeled Datasets via Surrogate Set Classification
In Semisupervised Learning 3
Nan Lu · Shida Lei · Gang Niu · Issei Sato · Masashi Sugiyama
[ Paper ]
Spotlight
Thu Jul 22 06:25 AM -- 06:30 AM (PDT)
Learning to Rehearse in Long Sequence Memorization
In Applications (NLP) 1
Zhu Zhang · Chang Zhou · Jianxin Ma · Zhijie Lin · Jingren Zhou · Hongxia Yang · Zhou Zhao
[ Paper ]
Spotlight
Thu Jul 22 06:25 AM -- 06:30 AM (PDT)
Feature Clustering for Support Identification in Extreme Regions
In Representation Learning 2
Hamid Jalalzai · Rémi Leluc
[ Paper ]
Spotlight
Thu Jul 22 06:25 AM -- 06:30 AM (PDT)
Finite mixture models do not reliably learn the number of components
In Bayesian Learning 1
Diana Cai · Trevor Campbell · Tamara Broderick
[ Paper ]
Spotlight
Thu Jul 22 06:25 AM -- 06:30 AM (PDT)
Off-Policy Confidence Sequences
In Learning Theory 14
Nikos Karampatziakis · Paul Mineiro · Aaditya Ramdas
[ Paper ]
Spotlight
Thu Jul 22 06:25 AM -- 06:30 AM (PDT)
Nondeterminism and Instability in Neural Network Optimization
In Applications and Algorithms
Cecilia Summers · Michael J Dinneen
[ Paper ]
Spotlight
Thu Jul 22 06:30 AM -- 06:35 AM (PDT)
Transfer-Based Semantic Anomaly Detection
In Semisupervised Learning 3
Lucas Deecke · Lukas Ruff · Robert Vandermeulen · Hakan Bilen
[ Paper ]
Spotlight
Thu Jul 22 06:30 AM -- 06:35 AM (PDT)
Phase Transitions, Distance Functions, and Implicit Neural Representations
In Applications and Algorithms
Yaron Lipman
[ Paper ]
Spotlight
Thu Jul 22 06:30 AM -- 06:35 AM (PDT)
Adaptive Sampling for Best Policy Identification in Markov Decision Processes
In Learning Theory 14
Aymen Al Marjani · Alexandre Proutiere
[ Paper ]
Spotlight
Thu Jul 22 06:30 AM -- 06:35 AM (PDT)
Grad-TTS: A Diffusion Probabilistic Model for Text-to-Speech
In Applications (NLP) 1
Vadim Popov · Ivan Vovk · Vladimir Gogoryan · Tasnima Sadekova · Mikhail Kudinov
[ Paper ]
Spotlight
Thu Jul 22 06:30 AM -- 06:35 AM (PDT)
Symmetric Spaces for Graph Embeddings: A Finsler-Riemannian Approach
In Representation Learning 2
Federico Lopez · Beatrice Pozzetti · Steve Trettel · Michael Strube · Anna Wienhard
[ Paper ]
Spotlight
Thu Jul 22 06:30 AM -- 06:35 AM (PDT)
Query Complexity of Adversarial Attacks
In Adversarial Learning 1
Grzegorz Gluch · Rüdiger Urbanke
[ Paper ]
Spotlight
Thu Jul 22 06:30 AM -- 06:35 AM (PDT)
Disambiguation of Weak Supervision leading to Exponential Convergence rates
In Semisupervised Learning 2
Vivien Cabannnes · Francis Bach · Alessandro Rudi
[ Paper ]
Spotlight
Thu Jul 22 06:30 AM -- 06:35 AM (PDT)
Privacy-Preserving Video Classification with Convolutional Neural Networks
In Privacy 1
Sikha Pentyala · Rafael Dowsley · Martine De Cock
[ Paper ]
Spotlight
Thu Jul 22 06:30 AM -- 06:35 AM (PDT)
Evaluating the Implicit Midpoint Integrator for Riemannian Hamiltonian Monte Carlo
In Bayesian Learning 1
James Brofos · Roy Lederman
[ Paper ]
Spotlight
Thu Jul 22 06:35 AM -- 06:40 AM (PDT)
PipeTransformer: Automated Elastic Pipelining for Distributed Training of Large-scale Models
In Applications and Algorithms
Chaoyang He · Shen Li · Mahdi Soltanolkotabi · Salman Avestimehr
[ Paper ]
Spotlight
Thu Jul 22 06:35 AM -- 06:40 AM (PDT)
Active Covering
In Semisupervised Learning 2
Heinrich Jiang · Afshin Rostamizadeh
[ Paper ]
Spotlight
Thu Jul 22 06:35 AM -- 06:40 AM (PDT)
Robust Representation Learning via Perceptual Similarity Metrics
In Representation Learning 2
Saeid A Taghanaki · Kristy Choi · Amir Hosein Khasahmadi · Anirudh Goyal
[ Paper ]
Spotlight
Thu Jul 22 06:35 AM -- 06:40 AM (PDT)
Graph Convolution for Semi-Supervised Classification: Improved Linear Separability and Out-of-Distribution Generalization
In Semisupervised Learning 3
Aseem Baranwal · Kimon Fountoulakis · Aukosh Jagannath
[ Paper ]
Spotlight
Thu Jul 22 06:35 AM -- 06:40 AM (PDT)
Training Adversarially Robust Sparse Networks via Bayesian Connectivity Sampling
In Adversarial Learning 1
Ozan Özdenizci · Robert Legenstein
[ Paper ]
Spotlight
Thu Jul 22 06:35 AM -- 06:40 AM (PDT)
Clustered Sampling: Low-Variance and Improved Representativity for Clients Selection in Federated Learning
In Privacy 1
Yann Fraboni · Richard Vidal · Laetitia Kameni · Marco Lorenzi
[ Paper ]
Spotlight
Thu Jul 22 06:35 AM -- 06:40 AM (PDT)
Streaming Bayesian Deep Tensor Factorization
In Bayesian Learning 1
Shikai Fang · Zheng Wang · Zhimeng Pan · Ji Liu · Shandian Zhe
[ Paper ]
Spotlight
Thu Jul 22 06:35 AM -- 06:40 AM (PDT)
Linear Transformers Are Secretly Fast Weight Programmers
In Applications (NLP) 1
Imanol Schlag · Kazuki Irie · Jürgen Schmidhuber
[ Paper ]
Spotlight
Thu Jul 22 06:35 AM -- 06:40 AM (PDT)
Quantum algorithms for reinforcement learning with a generative model
In Learning Theory 14
Daochen Wang · Aarthi Sundaram · Robin Kothari · Ashish Kapoor · Martin Roetteler
[ Paper ]
Spotlight
Thu Jul 22 06:40 AM -- 06:45 AM (PDT)
Decoupling Representation Learning from Reinforcement Learning
In Representation Learning 2
Adam Stooke · Kimin Lee · Pieter Abbeel · Michael Laskin
[ Paper ]
Spotlight
Thu Jul 22 06:40 AM -- 06:45 AM (PDT)
Conservative Objective Models for Effective Offline Model-Based Optimization
In Applications and Algorithms
Brandon Trabucco · Aviral Kumar · Xinyang Geng · Sergey Levine
[ Paper ]
Spotlight
Thu Jul 22 06:40 AM -- 06:45 AM (PDT)
Active Learning of Continuous-time Bayesian Networks through Interventions
In Bayesian Learning 1
Dominik Linzner · Heinz Koeppl
[ Paper ]
Spotlight
Thu Jul 22 06:40 AM -- 06:45 AM (PDT)
Differentially Private Correlation Clustering
In Privacy 1
Mark Bun · Marek Elias · Janardhan Kulkarni
[ Paper ]
Spotlight
Thu Jul 22 06:40 AM -- 06:45 AM (PDT)
Mediated Uncoupled Learning: Learning Functions without Direct Input-output Correspondences
In Semisupervised Learning 2
Ikko Yamane · Junya Honda · Florian YGER · Masashi Sugiyama
[ Paper ]
Spotlight
Thu Jul 22 06:40 AM -- 06:45 AM (PDT)
Efficient Training of Robust Decision Trees Against Adversarial Examples
In Adversarial Learning 1
Daniël Vos · Sicco Verwer
[ Paper ]
Spotlight
Thu Jul 22 06:40 AM -- 06:45 AM (PDT)
Posterior Value Functions: Hindsight Baselines for Policy Gradient Methods
In Learning Theory 14
Chris Nota · Philip Thomas · Bruno C. da Silva
[ Paper ]
Spotlight
Thu Jul 22 06:40 AM -- 06:45 AM (PDT)
Predict then Interpolate: A Simple Algorithm to Learn Stable Classifiers
In Applications (NLP) 1
Yujia Bao · Shiyu Chang · Regina Barzilay
[ Paper ]
Spotlight
Thu Jul 22 06:40 AM -- 06:45 AM (PDT)
Sinkhorn Label Allocation: Semi-Supervised Classification via Annealed Self-Training
In Semisupervised Learning 3
Kai Sheng Tai · Peter Bailis · Gregory Valiant
[ Paper ]
Q&A
Thu Jul 22 06:45 AM -- 06:50 AM (PDT)
Q&A
In Semisupervised Learning 3
Spotlight
Thu Jul 22 06:45 AM -- 06:50 AM (PDT)
Sharf: Shape-conditioned Radiance Fields from a Single View
In Representation Learning 2
Konstantinos Rematas · Ricardo Martin-Brualla · Vittorio Ferrari
[ Paper ]
Spotlight
Thu Jul 22 06:45 AM -- 06:50 AM (PDT)
Principal Bit Analysis: Autoencoding with Schur-Concave Loss
In Semisupervised Learning 2
Sourbh Bhadane · Aaron Wagner · Jayadev Acharya
[ Paper ]
Spotlight
Thu Jul 22 06:45 AM -- 06:50 AM (PDT)
Expressive 1-Lipschitz Neural Networks for Robust Multiple Graph Learning against Adversarial Attacks
In Applications (NLP) 1
Xin Zhao · Zeru Zhang · Zijie Zhang · Lingfei Wu · Jiayin Jin · Yang Zhou · Ruoming Jin · Dejing Dou · Da Yan
[ Paper ]
Spotlight
Thu Jul 22 06:45 AM -- 06:50 AM (PDT)
Learning Interaction Kernels for Agent Systems on Riemannian Manifolds
In Learning Theory 14
Mauro Maggioni · Jason Miller · Hongda Qiu · Ming Zhong
[ Paper ]
Spotlight
Thu Jul 22 06:45 AM -- 06:50 AM (PDT)
TFix: Learning to Fix Coding Errors with a Text-to-Text Transformer
In Applications and Algorithms
Berkay Berabi · Jingxuan He · Veselin Raychev · Martin Vechev
[ Paper ]
Spotlight
Thu Jul 22 06:45 AM -- 06:50 AM (PDT)
Scalable Certified Segmentation via Randomized Smoothing
In Adversarial Learning 1
Marc Fischer · Maximilian Baader · Martin Vechev
[ Paper ]
Spotlight
Thu Jul 22 06:45 AM -- 06:50 AM (PDT)
Bayesian Attention Belief Networks
In Bayesian Learning 1
Shujian Zhang · Xinjie Fan · Bo Chen · Mingyuan Zhou
[ Paper ]
Spotlight
Thu Jul 22 06:45 AM -- 06:50 AM (PDT)
Accuracy, Interpretability, and Differential Privacy via Explainable Boosting
In Privacy 1
Harsha Nori · Rich Caruana · Zhiqi Bu · Judy Hanwen Shen · Janardhan Kulkarni
[ Paper ]
Q&A
Thu Jul 22 06:50 AM -- 06:55 AM (PDT)
Q&A
In Bayesian Learning 1
Q&A
Thu Jul 22 06:50 AM -- 06:55 AM (PDT)
Q&A
In Adversarial Learning 1
Q&A
Thu Jul 22 06:50 AM -- 06:55 AM (PDT)
Q&A
In Applications (NLP) 1
Q&A
Thu Jul 22 06:50 AM -- 06:55 AM (PDT)
Q&A
In Learning Theory 14
Q&A
Thu Jul 22 06:50 AM -- 06:55 AM (PDT)
Q&A
In Privacy 1
Q&A
Thu Jul 22 06:50 AM -- 06:55 AM (PDT)
Q&A
In Representation Learning 2
Q&A
Thu Jul 22 06:50 AM -- 06:55 AM (PDT)
Q&A
In Semisupervised Learning 2
Q&A
Thu Jul 22 06:50 AM -- 06:55 AM (PDT)
Q&A
In Applications and Algorithms
Oral
Thu Jul 22 07:00 AM -- 07:20 AM (PDT)
Private Alternating Least Squares: Practical Private Matrix Completion with Tighter Rates
In Privacy 3
Steve Chien · Prateek Jain · Walid Krichene · Steffen Rendle · Shuang Song · Abhradeep Guha Thakurta · Li Zhang
[ Paper ]
Oral
Thu Jul 22 07:00 AM -- 07:20 AM (PDT)
DG-LMC: A Turn-key and Scalable Synchronous Distributed MCMC Algorithm via Langevin Monte Carlo within Gibbs
In Probabilistic Methods 3
Vincent Plassier · Maxime Vono · Alain Durmus · Eric Moulines
[ Paper ]
Oral
Thu Jul 22 07:00 AM -- 07:20 AM (PDT)
Domain Generalization using Causal Matching
In Domain Generalization and Multi-task Learning
Divyat Mahajan · Shruti Tople · Amit Sharma
[ Paper ]
Oral
Thu Jul 22 07:00 AM -- 07:20 AM (PDT)
Annealed Flow Transport Monte Carlo
In Bayesian Methods
Michael Arbel · Alexander Matthews · Arnaud Doucet
[ Paper ]
Oral
Thu Jul 22 07:00 AM -- 07:20 AM (PDT)
Modeling Hierarchical Structures with Continuous Recursive Neural Networks
In Applications (CV and NLP)
Jishnu Ray Chowdhury · Cornelia Caragea
[ Paper ]
Oral
Thu Jul 22 07:00 AM -- 07:20 AM (PDT)
Graph Contrastive Learning Automated
In Semisupervised and Unsupervised Learning 1
Yuning You · Tianlong Chen · Yang Shen · Zhangyang “Atlas” Wang
[ Paper ]
Oral
Thu Jul 22 07:00 AM -- 07:20 AM (PDT)
On Disentangled Representations Learned from Correlated Data
In Representation Learning 3
Frederik Träuble · Elliot Creager · Niki Kilbertus · Francesco Locatello · Andrea Dittadi · Anirudh Goyal · Bernhard Schölkopf · Stefan Bauer
[ Paper ]
Oral
Thu Jul 22 07:00 AM -- 07:20 AM (PDT)
CARTL: Cooperative Adversarially-Robust Transfer Learning
In Adversarial Learning 2
Dian Chen · Hongxin Hu · Qian Wang · Li Yinli · Cong Wang · Chao Shen · Qi Li
[ Paper ]
Oral
Thu Jul 22 07:00 AM -- 07:20 AM (PDT)
Locally Private k-Means in One Round
In Privacy 2
Alisa Chang · Badih Ghazi · Ravi Kumar · Pasin Manurangsi
[ Paper ]
Spotlight
Thu Jul 22 07:20 AM -- 07:25 AM (PDT)
Enhancing Robustness of Neural Networks through Fourier Stabilization
In Privacy 3
Netanel Raviv · Aidan Kelley · Minzhe Guo · Yevgeniy Vorobeychik
[ Paper ]
Spotlight
Thu Jul 22 07:20 AM -- 07:25 AM (PDT)
Training data-efficient image transformers & distillation through attention
In Representation Learning 3
Hugo Touvron · Matthieu Cord · Douze Matthijs · Francisco Massa · Alexandre Sablayrolles · Herve Jegou
[ Paper ]
Spotlight
Thu Jul 22 07:20 AM -- 07:25 AM (PDT)
Nonparametric Decomposition of Sparse Tensors
In Bayesian Methods
Conor Tillinghast · Shandian Zhe
[ Paper ]
Spotlight
Thu Jul 22 07:20 AM -- 07:25 AM (PDT)
Revisiting Point Cloud Shape Classification with a Simple and Effective Baseline
In Applications (CV and NLP)
Ankit Goyal · Hei Law · Bowei Liu · Alejandro Newell · Jia Deng
[ Paper ]
Spotlight
Thu Jul 22 07:20 AM -- 07:25 AM (PDT)
Skew Orthogonal Convolutions
In Adversarial Learning 2
Sahil Singla · Soheil Feizi
[ Paper ]
Spotlight
Thu Jul 22 07:20 AM -- 07:25 AM (PDT)
Barlow Twins: Self-Supervised Learning via Redundancy Reduction
In Semisupervised and Unsupervised Learning 1
Jure Zbontar · Li Jing · Ishan Misra · yann lecun · Stephane Deny
[ Paper ]
Spotlight
Thu Jul 22 07:20 AM -- 07:25 AM (PDT)
Matrix Sketching for Secure Collaborative Machine Learning
In Privacy 2
Mengjiao Zhang · Shusen Wang
[ Paper ]
Spotlight
Thu Jul 22 07:20 AM -- 07:25 AM (PDT)
Unified Robust Semi-Supervised Variational Autoencoder
In Domain Generalization and Multi-task Learning
Xu Chen
[ Paper ]
Spotlight
Thu Jul 22 07:20 AM -- 07:25 AM (PDT)
Nonmyopic Multifidelity Acitve Search
In Probabilistic Methods 3
Quan Nguyen · Arghavan Modiri · Roman Garnett
[ Paper ]
Spotlight
Thu Jul 22 07:25 AM -- 07:30 AM (PDT)
Quantifying Availability and Discovery in Recommender Systems via Stochastic Reachability
In Privacy 3
Mihaela Curmei · Sarah Dean · Benjamin Recht
[ Paper ]
Spotlight
Thu Jul 22 07:25 AM -- 07:30 AM (PDT)
Active Testing: Sample-Efficient Model Evaluation
In Probabilistic Methods 3
Jannik Kossen · Sebastian Farquhar · Yarin Gal · Tom Rainforth
[ Paper ]
Spotlight
Thu Jul 22 07:25 AM -- 07:30 AM (PDT)
Pointwise Binary Classification with Pairwise Confidence Comparisons
In Semisupervised and Unsupervised Learning 1
Lei Feng · Senlin Shu · Nan Lu · Bo Han · Miao Xu · Gang Niu · Bo An · Masashi Sugiyama
[ Paper ]
Spotlight
Thu Jul 22 07:25 AM -- 07:30 AM (PDT)
Differentiable Dynamic Quantization with Mixed Precision and Adaptive Resolution
In Applications (CV and NLP)
zhaoyang zhang · Wenqi Shao · Jinwei Gu · Xiaogang Wang · Ping Luo
[ Paper ]
Spotlight
Thu Jul 22 07:25 AM -- 07:30 AM (PDT)
Parallel tempering on optimized paths
In Bayesian Methods
Saifuddin Syed · Vittorio Romaniello · Trevor Campbell · Alexandre Bouchard-Côté
[ Paper ]
Spotlight
Thu Jul 22 07:25 AM -- 07:30 AM (PDT)
Lower Bounds on Cross-Entropy Loss in the Presence of Test-time Adversaries
In Adversarial Learning 2
Arjun Nitin Bhagoji · Daniel Cullina · Vikash Sehwag · Prateek Mittal
[ Paper ]
Spotlight
Thu Jul 22 07:25 AM -- 07:30 AM (PDT)
Markpainting: Adversarial Machine Learning meets Inpainting
In Privacy 2
David G Khachaturov · Ilia Shumailov · Yiren Zhao · Nicolas Papernot · Ross Anderson
[ Paper ]
Spotlight
Thu Jul 22 07:25 AM -- 07:30 AM (PDT)
SketchEmbedNet: Learning Novel Concepts by Imitating Drawings
In Representation Learning 3
Alexander Wang · Mengye Ren · Richard Zemel
[ Paper ]
Spotlight
Thu Jul 22 07:25 AM -- 07:30 AM (PDT)
Representation Subspace Distance for Domain Adaptation Regression
In Domain Generalization and Multi-task Learning
Xinyang Chen · Sinan Wang · Jianmin Wang · Mingsheng Long
[ Paper ]
Spotlight
Thu Jul 22 07:30 AM -- 07:35 AM (PDT)
Oblivious Sketching for Logistic Regression
In Probabilistic Methods 3
Alexander Munteanu · Simon Omlor · David Woodruff
[ Paper ]
Spotlight
Thu Jul 22 07:30 AM -- 07:35 AM (PDT)
GeomCA: Geometric Evaluation of Data Representations
In Representation Learning 3
Petra Poklukar · Anastasiia Varava · Danica Kragic
[ Paper ]
Spotlight
Thu Jul 22 07:30 AM -- 07:35 AM (PDT)
Sparse Bayesian Learning via Stepwise Regression
In Bayesian Methods
Sebastian Ament · Carla Gomes
[ Paper ]
Spotlight
Thu Jul 22 07:30 AM -- 07:35 AM (PDT)
Byzantine-Resilient High-Dimensional SGD with Local Iterations on Heterogeneous Data
In Privacy 3
Deepesh Data · Suhas Diggavi
[ Paper ]
Spotlight
Thu Jul 22 07:30 AM -- 07:35 AM (PDT)
Defense against backdoor attacks via robust covariance estimation
In Adversarial Learning 2
Jonathan Hayase · Weihao Kong · Raghav Somani · Sewoong Oh
[ Paper ]
Spotlight
Thu Jul 22 07:30 AM -- 07:35 AM (PDT)
Differentially-Private Clustering of Easy Instances
In Privacy 2
Edith Cohen · Haim Kaplan · Yishay Mansour · Uri Stemmer · Eliad Tsfadia
[ Paper ]
Spotlight
Thu Jul 22 07:30 AM -- 07:35 AM (PDT)
Personalized Federated Learning using Hypernetworks
In Domain Generalization and Multi-task Learning
Aviv Shamsian · Aviv Navon · Ethan Fetaya · Gal Chechik
[ Paper ]
Spotlight
Thu Jul 22 07:30 AM -- 07:35 AM (PDT)
Rissanen Data Analysis: Examining Dataset Characteristics via Description Length
In Applications (CV and NLP)
Ethan Perez · Douwe Kiela · Kyunghyun Cho
[ Paper ]
Spotlight
Thu Jul 22 07:30 AM -- 07:35 AM (PDT)
Learning from Similarity-Confidence Data
In Semisupervised and Unsupervised Learning 1
Yuzhou Cao · Lei Feng · Yitian Xu · Bo An · Gang Niu · Masashi Sugiyama
[ Paper ]
Spotlight
Thu Jul 22 07:35 AM -- 07:40 AM (PDT)
SGLB: Stochastic Gradient Langevin Boosting
In Probabilistic Methods 3
Aleksei Ustimenko · Liudmila Prokhorenkova
[ Paper ]
Spotlight
Thu Jul 22 07:35 AM -- 07:40 AM (PDT)
Matrix Completion with Model-free Weighting
In Applications (CV and NLP)
Jiayi Wang · Ka Wai Wong · Xiaojun Mao · Kwun Chuen Gary Chan
[ Paper ]
Spotlight
Thu Jul 22 07:35 AM -- 07:40 AM (PDT)
Adversarial Purification with Score-based Generative Models
In Adversarial Learning 2
Jongmin Yoon · Sung Ju Hwang · Juho Lee
[ Paper ]
Spotlight
Thu Jul 22 07:35 AM -- 07:40 AM (PDT)
Unsupervised Co-part Segmentation through Assembly
In Semisupervised and Unsupervised Learning 1
Qingzhe Gao · Bin Wang · Libin Liu · Baoquan Chen
[ Paper ]
Spotlight
Thu Jul 22 07:35 AM -- 07:40 AM (PDT)
Geometric convergence of elliptical slice sampling
In Bayesian Methods
Viacheslav Natarovskii · Daniel Rudolf · Björn Sprungk
[ Paper ]
Spotlight
Thu Jul 22 07:35 AM -- 07:40 AM (PDT)
RNNRepair: Automatic RNN Repair via Model-based Analysis
In Privacy 3
Xiaofei Xie · Wenbo Guo · Lei Ma · Wei Le · Jian Wang · Lingjun Zhou · Yang Liu · Xinyu Xing
[ Paper ]
Spotlight
Thu Jul 22 07:35 AM -- 07:40 AM (PDT)
Inference for Network Regression Models with Community Structure
In Privacy 2
Mengjie Pan · Tyler Mccormick · Bailey Fosdick
[ Paper ]
Spotlight
Thu Jul 22 07:35 AM -- 07:40 AM (PDT)
f-Domain Adversarial Learning: Theory and Algorithms
In Domain Generalization and Multi-task Learning
David Acuna · Guojun Zhang · Marc Law · Sanja Fidler
[ Paper ]
Spotlight
Thu Jul 22 07:35 AM -- 07:40 AM (PDT)
Online Limited Memory Neural-Linear Bandits with Likelihood Matching
In Representation Learning 3
Ofir Nabati · Tom Zahavy · Shie Mannor
[ Paper ]
Spotlight
Thu Jul 22 07:40 AM -- 07:45 AM (PDT)
Bayesian Quadrature on Riemannian Data Manifolds
In Bayesian Methods
Christian Fröhlich · Alexandra Gessner · Philipp Hennig · Bernhard Schölkopf · Georgios Arvanitidis
[ Paper ]
Spotlight
Thu Jul 22 07:40 AM -- 07:45 AM (PDT)
Flow-based Attribution in Graphical Models: A Recursive Shapley Approach
In Probabilistic Methods 3
Raghav Singal · George Michailidis · Hoiyi Ng
[ Paper ]
Spotlight
Thu Jul 22 07:40 AM -- 07:45 AM (PDT)
PHEW : Constructing Sparse Networks that Learn Fast and Generalize Well without Training Data
In Applications (CV and NLP)
Shreyas Malakarjun Patil · Constantine Dovrolis
[ Paper ]
Spotlight
Thu Jul 22 07:40 AM -- 07:45 AM (PDT)
Environment Inference for Invariant Learning
In Representation Learning 3
Elliot Creager · Joern-Henrik Jacobsen · Richard Zemel
[ Paper ]
Spotlight
Thu Jul 22 07:40 AM -- 07:45 AM (PDT)
Adversarial Policy Learning in Two-player Competitive Games
In Privacy 3
Wenbo Guo · Xian Wu · Sui Huang · Xinyu Xing
[ Paper ]
Spotlight
Thu Jul 22 07:40 AM -- 07:45 AM (PDT)
Knowledge Enhanced Machine Learning Pipeline against Diverse Adversarial Attacks
In Adversarial Learning 2
Nezihe Merve Gürel · Xiangyu Qi · Luka Rimanic · Ce Zhang · Bo Li
[ Paper ]
Spotlight
Thu Jul 22 07:40 AM -- 07:45 AM (PDT)
DeepReDuce: ReLU Reduction for Fast Private Inference
In Privacy 2
Nandan Kumar Jha · Zahra Ghodsi · Siddharth Garg · Brandon Reagen
[ Paper ]
Spotlight
Thu Jul 22 07:40 AM -- 07:45 AM (PDT)
Randomized Dimensionality Reduction for Facility Location and Single-Linkage Clustering
In Semisupervised and Unsupervised Learning 1
Shyam Narayanan · Sandeep Silwal · Piotr Indyk · Or Zamir
[ Paper ]
Spotlight
Thu Jul 22 07:40 AM -- 07:45 AM (PDT)
Few-Shot Conformal Prediction with Auxiliary Tasks
In Domain Generalization and Multi-task Learning
Adam Fisch · Tal Schuster · Tommi Jaakkola · Regina Barzilay
[ Paper ]
Spotlight
Thu Jul 22 07:45 AM -- 07:50 AM (PDT)
Neural Feature Matching in Implicit 3D Representations
In Representation Learning 3
Yunlu Chen · Basura Fernando · Hakan Bilen · Thomas Mensink · Efstratios Gavves
[ Paper ]
Spotlight
Thu Jul 22 07:45 AM -- 07:50 AM (PDT)
Learning a Universal Template for Few-shot Dataset Generalization
In Domain Generalization and Multi-task Learning
Eleni Triantafillou · Hugo Larochelle · Richard Zemel · Vincent Dumoulin
[ Paper ]
Spotlight
Thu Jul 22 07:45 AM -- 07:50 AM (PDT)
On the difficulty of unbiased alpha divergence minimization
In Probabilistic Methods 3
Tomas Geffner · Justin Domke
[ Paper ]
Spotlight
Thu Jul 22 07:45 AM -- 07:50 AM (PDT)
Fairness of Exposure in Stochastic Bandits
In Privacy 3
Luke Lequn Wang · Yiwei Bai · Wen Sun · Thorsten Joachims
[ Paper ]
Spotlight
Thu Jul 22 07:45 AM -- 07:50 AM (PDT)
EL-Attention: Memory Efficient Lossless Attention for Generation
In Applications (CV and NLP)
Yu Yan · Jiusheng Chen · Weizhen Qi · Nikhil Bhendawade · Yeyun Gong · Nan Duan · Ruofei Zhang
[ Paper ]
Spotlight
Thu Jul 22 07:45 AM -- 07:50 AM (PDT)
To be Robust or to be Fair: Towards Fairness in Adversarial Training
In Adversarial Learning 2
Han Xu · Xiaorui Liu · Yaxin Li · Anil Jain · Jiliang Tang
[ Paper ]
Spotlight
Thu Jul 22 07:45 AM -- 07:50 AM (PDT)
Label-Only Membership Inference Attacks
In Privacy 2
Christopher Choquette-Choo · Florian Tramer · Nicholas Carlini · Nicolas Papernot
[ Paper ]
Spotlight
Thu Jul 22 07:45 AM -- 07:50 AM (PDT)
A Gradient Based Strategy for Hamiltonian Monte Carlo Hyperparameter Optimization
In Bayesian Methods
Andrew Campbell · Wenlong Chen · Vincent Stimper · Jose Miguel Hernandez-Lobato · Yichuan Zhang
[ Paper ]
Spotlight
Thu Jul 22 07:45 AM -- 07:50 AM (PDT)
Learning Binary Decision Trees by Argmin Differentiation
In Semisupervised and Unsupervised Learning 1
Valentina Zantedeschi · Matt J. Kusner · Vlad Niculae
[ Paper ]
Q&A
Thu Jul 22 07:50 AM -- 07:55 AM (PDT)
Q&A
In Semisupervised and Unsupervised Learning 1
Q&A
Thu Jul 22 07:50 AM -- 07:55 AM (PDT)
Q&A
In Applications (CV and NLP)
Q&A
Thu Jul 22 07:50 AM -- 07:55 AM (PDT)
Q&A
In Representation Learning 3
Q&A
Thu Jul 22 07:50 AM -- 07:55 AM (PDT)
Q&A
In Probabilistic Methods 3
Q&A
Thu Jul 22 07:50 AM -- 07:55 AM (PDT)
Q&A
In Adversarial Learning 2
Q&A
Thu Jul 22 07:50 AM -- 07:55 AM (PDT)
Q&A
In Domain Generalization and Multi-task Learning
Q&A
Thu Jul 22 07:50 AM -- 07:55 AM (PDT)
Q&A
In Privacy 3
Q&A
Thu Jul 22 07:50 AM -- 07:55 AM (PDT)
Q&A
In Bayesian Methods
Q&A
Thu Jul 22 07:50 AM -- 07:55 AM (PDT)
Q&A
In Privacy 2
Invited Talk
Thu Jul 22 08:00 AM -- 09:00 AM (PDT)
Machine Learning for Molecular Science
Cecilia Clementi
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision
In Poster Session 5
Chao Jia · Yinfei Yang · Ye Xia · Yi-Ting Chen · Zarana Parekh · Hieu Pham · Quoc Le · Yun-Hsuan Sung · Zhen Li · Tom Duerig
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Bayesian Quadrature on Riemannian Data Manifolds
In Poster Session 5
Christian Fröhlich · Alexandra Gessner · Philipp Hennig · Bernhard Schölkopf · Georgios Arvanitidis
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Implicit Bias of Linear RNNs
In Poster Session 5
Melikasadat Emami · Mojtaba Sahraee-Ardakan · Parthe Pandit · Sundeep Rangan · Alyson Fletcher
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Delving into Deep Imbalanced Regression
In Poster Session 5
Yuzhe Yang · Kaiwen Zha · YINGCONG CHEN · Hao Wang · Dina Katabi
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Graph Contrastive Learning Automated
In Poster Session 5
Yuning You · Tianlong Chen · Yang Shen · Zhangyang “Atlas” Wang
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
GeomCA: Geometric Evaluation of Data Representations
In Poster Session 5
Petra Poklukar · Anastasiia Varava · Danica Kragic
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Rissanen Data Analysis: Examining Dataset Characteristics via Description Length
In Poster Session 5
Ethan Perez · Douwe Kiela · Kyunghyun Cho
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Off-Policy Confidence Sequences
In Poster Session 5
Nikos Karampatziakis · Paul Mineiro · Aaditya Ramdas
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Finite mixture models do not reliably learn the number of components
In Poster Session 5
Diana Cai · Trevor Campbell · Tamara Broderick
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Differentially Private Quantiles
In Poster Session 5
Jennifer Gillenwater · Matthew Joseph · Alex Kulesza
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
PACOH: Bayes-Optimal Meta-Learning with PAC-Guarantees
In Poster Session 5
Jonas Rothfuss · Vincent Fortuin · Martin Josifoski · Andreas Krause
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Annealed Flow Transport Monte Carlo
In Poster Session 5
Michael Arbel · Alexander Matthews · Arnaud Doucet
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Clustered Sampling: Low-Variance and Improved Representativity for Clients Selection in Federated Learning
In Poster Session 5
Yann Fraboni · Richard Vidal · Laetitia Kameni · Marco Lorenzi
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Learning disentangled representations via product manifold projection
In Poster Session 5
Marco Fumero · Luca Cosmo · Simone Melzi · Emanuele Rodola
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Adapting to Delays and Data in Adversarial Multi-Armed Bandits
In Poster Session 5
András György · Pooria Joulani
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Parallel Droplet Control in MEDA Biochips using Multi-Agent Reinforcement Learning
In Poster Session 5
Tung-Che Liang · Jin Zhou · Yun-Sheng Chan · Tsung-Yi Ho · Krishnendu Chakrabarty · Cy Lee
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
A Gradient Based Strategy for Hamiltonian Monte Carlo Hyperparameter Optimization
In Poster Session 5
Andrew Campbell · Wenlong Chen · Vincent Stimper · Jose Miguel Hernandez-Lobato · Yichuan Zhang
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Feature Clustering for Support Identification in Extreme Regions
In Poster Session 5
Hamid Jalalzai · Rémi Leluc
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Wasserstein Distributional Normalization For Robust Distributional Certification of Noisy Labeled Data
In Poster Session 5
Sung Woo Park · Junseok Kwon
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Whittle Networks: A Deep Likelihood Model for Time Series
In Poster Session 5
Zhongjie Yu · Fabrizio Ventola · Kristian Kersting
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Hierarchical Clustering of Data Streams: Scalable Algorithms and Approximation Guarantees
In Poster Session 5
Anand Rajagopalan · Fabio Vitale · Danny Vainstein · Gui Citovsky · Cecilia Procopiuc · Claudio Gentile
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Dataset Condensation with Differentiable Siamese Augmentation
In Poster Session 5
Bo Zhao · Hakan Bilen
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Temporal Difference Learning as Gradient Splitting
In Poster Session 5
Rui Liu · Alex Olshevsky
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Confidence Scores Make Instance-dependent Label-noise Learning Possible
In Poster Session 5
Antonin Berthon · Bo Han · Gang Niu · Tongliang Liu · Masashi Sugiyama
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Whitening for Self-Supervised Representation Learning
In Poster Session 5
Aleksandr Ermolov · Aliaksandr Siarohin · Enver Sangineto · Nicu Sebe
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Memory Efficient Online Meta Learning
In Poster Session 5
Durmus Alp Emre Acar · Ruizhao Zhu · Venkatesh Saligrama
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Learning a Universal Template for Few-shot Dataset Generalization
In Poster Session 5
Eleni Triantafillou · Hugo Larochelle · Richard Zemel · Vincent Dumoulin
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Inference for Network Regression Models with Community Structure
In Poster Session 5
Mengjie Pan · Tyler Mccormick · Bailey Fosdick
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Scalable Certified Segmentation via Randomized Smoothing
In Poster Session 5
Marc Fischer · Maximilian Baader · Martin Vechev
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Improved, Deterministic Smoothing for L_1 Certified Robustness
In Poster Session 5
Alexander Levine · Soheil Feizi
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
PHEW : Constructing Sparse Networks that Learn Fast and Generalize Well without Training Data
In Poster Session 5
Shreyas Malakarjun Patil · Constantine Dovrolis
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Linear Transformers Are Secretly Fast Weight Programmers
In Poster Session 5
Imanol Schlag · Kazuki Irie · Jürgen Schmidhuber
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Towards Practical Mean Bounds for Small Samples
In Poster Session 5
My Phan · Philip Thomas · Erik Learned-Miller
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
A Discriminative Technique for Multiple-Source Adaptation
In Poster Session 5
Corinna Cortes · Mehryar Mohri · Ananda Theertha Suresh · Ningshan Zhang
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Disambiguation of Weak Supervision leading to Exponential Convergence rates
In Poster Session 5
Vivien Cabannnes · Francis Bach · Alessandro Rudi
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Fairness for Image Generation with Uncertain Sensitive Attributes
In Poster Session 5
Ajil Jalal · Sushrut Karmalkar · Jessica Hoffmann · Alexandros Dimakis · Eric Price
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Label-Only Membership Inference Attacks
In Poster Session 5
Christopher Choquette-Choo · Florian Tramer · Nicholas Carlini · Nicolas Papernot
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Learning from Similarity-Confidence Data
In Poster Session 5
Yuzhou Cao · Lei Feng · Yitian Xu · Bo An · Gang Niu · Masashi Sugiyama
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Scalable Variational Gaussian Processes via Harmonic Kernel Decomposition
In Poster Session 5
Shengyang Sun · Jiaxin Shi · Andrew Wilson · Roger Grosse
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Oblivious Sketching for Logistic Regression
In Poster Session 5
Alexander Munteanu · Simon Omlor · David Woodruff
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Differentially Private Query Release Through Adaptive Projection
In Poster Session 5
Sergul Aydore · William Brown · Michael Kearns · Krishnaram Kenthapadi · Luca Melis · Aaron Roth · Ankit Siva
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Learning Interaction Kernels for Agent Systems on Riemannian Manifolds
In Poster Session 5
Mauro Maggioni · Jason Miller · Hongda Qiu · Ming Zhong
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Aggregating From Multiple Target-Shifted Sources
In Poster Session 5
Changjian Shui · Zijian Li · Jiaqi Li · Christian Gagne · Charles X. Ling · Boyu Wang
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Barlow Twins: Self-Supervised Learning via Redundancy Reduction
In Poster Session 5
Jure Zbontar · Li Jing · Ishan Misra · yann lecun · Stephane Deny
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Adversarial Policy Learning in Two-player Competitive Games
In Poster Session 5
Wenbo Guo · Xian Wu · Sui Huang · Xinyu Xing
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Generalized Doubly Reparameterized Gradient Estimators
In Poster Session 5
Matthias Bauer · Andriy Mnih
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
BasisDeVAE: Interpretable Simultaneous Dimensionality Reduction and Feature-Level Clustering with Derivative-Based Variational Autoencoders
In Poster Session 5
Dominic Danks · Christopher Yau
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
GNNAutoScale: Scalable and Expressive Graph Neural Networks via Historical Embeddings
In Poster Session 5
Matthias Fey · Jan Eric Lenssen · Frank Weichert · Jure Leskovec
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Geometric convergence of elliptical slice sampling
In Poster Session 5
Viacheslav Natarovskii · Daniel Rudolf · Björn Sprungk
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Symmetric Spaces for Graph Embeddings: A Finsler-Riemannian Approach
In Poster Session 5
Federico Lopez · Beatrice Pozzetti · Steve Trettel · Michael Strube · Anna Wienhard
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Private Alternating Least Squares: Practical Private Matrix Completion with Tighter Rates
In Poster Session 5
Steve Chien · Prateek Jain · Walid Krichene · Steffen Rendle · Shuang Song · Abhradeep Guha Thakurta · Li Zhang
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Evaluating the Implicit Midpoint Integrator for Riemannian Hamiltonian Monte Carlo
In Poster Session 5
James Brofos · Roy Lederman
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Bayesian Algorithm Execution: Estimating Computable Properties of Black-box Functions Using Mutual Information
In Poster Session 5
Willie Neiswanger · Ke Alexander Wang · Stefano Ermon
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Differentiable Particle Filtering via Entropy-Regularized Optimal Transport
In Poster Session 5
Adrien Corenflos · James Thornton · George Deligiannidis · Arnaud Doucet
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Phase Transitions, Distance Functions, and Implicit Neural Representations
In Poster Session 5
Yaron Lipman
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Robust Learning-Augmented Caching: An Experimental Study
In Poster Session 5
Jakub Chłędowski · Adam Polak · Bartosz Szabucki · Konrad Zolna
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Learning to Rehearse in Long Sequence Memorization
In Poster Session 5
Zhu Zhang · Chang Zhou · Jianxin Ma · Zhijie Lin · Jingren Zhou · Hongxia Yang · Zhou Zhao
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Exact Optimization of Conformal Predictors via Incremental and Decremental Learning
In Poster Session 5
Giovanni Cherubin · Konstantinos Chatzikokolakis · Martin Jaggi
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Analyzing the tree-layer structure of Deep Forests
In Poster Session 5
Ludovic Arnould · Claire Boyer · Erwan Scornet
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Principal Bit Analysis: Autoencoding with Schur-Concave Loss
In Poster Session 5
Sourbh Bhadane · Aaron Wagner · Jayadev Acharya
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Learning Binary Decision Trees by Argmin Differentiation
In Poster Session 5
Valentina Zantedeschi · Matt J. Kusner · Vlad Niculae
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Randomized Dimensionality Reduction for Facility Location and Single-Linkage Clustering
In Poster Session 5
Shyam Narayanan · Sandeep Silwal · Piotr Indyk · Or Zamir
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Skew Orthogonal Convolutions
In Poster Session 5
Sahil Singla · Soheil Feizi
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Active Learning of Continuous-time Bayesian Networks through Interventions
In Poster Session 5
Dominik Linzner · Heinz Koeppl
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Class2Simi: A Noise Reduction Perspective on Learning with Noisy Labels
In Poster Session 5
Songhua Wu · Xiaobo Xia · Tongliang Liu · Bo Han · Mingming Gong · Nannan Wang · Haifeng Liu · Gang Niu
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Adaptive Sampling for Best Policy Identification in Markov Decision Processes
In Poster Session 5
Aymen Al Marjani · Alexandre Proutiere
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Sparse Bayesian Learning via Stepwise Regression
In Poster Session 5
Sebastian Ament · Carla Gomes
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Environment Inference for Invariant Learning
In Poster Session 5
Elliot Creager · Joern-Henrik Jacobsen · Richard Zemel
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Beyond the Pareto Efficient Frontier: Constraint Active Search for Multiobjective Experimental Design
In Poster Session 5
Gustavo Malkomes · Bolong Cheng · Eric Lee · Michael McCourt
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Tilting the playing field: Dynamical loss functions for machine learning
In Poster Session 5
Miguel Ruiz Garcia · Ge Zhang · Samuel Schoenholz · Andrea Liu
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Conservative Objective Models for Effective Offline Model-Based Optimization
In Poster Session 5
Brandon Trabucco · Aviral Kumar · Xinyang Geng · Sergey Levine
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
A Collective Learning Framework to Boost GNN Expressiveness for Node Classification
In Poster Session 5
Mengyue Hang · Jennifer Neville · Bruno Ribeiro
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Neural Feature Matching in Implicit 3D Representations
In Poster Session 5
Yunlu Chen · Basura Fernando · Hakan Bilen · Thomas Mensink · Efstratios Gavves
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
DAGs with No Curl: An Efficient DAG Structure Learning Approach
In Poster Session 5
Yue Yu · Tian Gao · Naiyu Yin · Qiang Ji
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
SigGPDE: Scaling Sparse Gaussian Processes on Sequential Data
In Poster Session 5
Maud Lemercier · Cristopher Salvi · Thomas Cass · Edwin V Bonilla · Theodoros Damoulas · Terry Lyons
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
PAPRIKA: Private Online False Discovery Rate Control
In Poster Session 5
Wanrong Zhang · Gautam Kamath · Rachel Cummings
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Variational Auto-Regressive Gaussian Processes for Continual Learning
In Poster Session 5
Sanyam Kapoor · Theofanis Karaletsos · Thang Bui
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Directional Bias Amplification
In Poster Session 5
Angelina Wang · Olga Russakovsky
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Streaming Bayesian Deep Tensor Factorization
In Poster Session 5
Shikai Fang · Zheng Wang · Zhimeng Pan · Ji Liu · Shandian Zhe
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Systematic Analysis of Cluster Similarity Indices: How to Validate Validation Measures
In Poster Session 5
Martijn Gösgens · Aleksei Tikhonov · Liudmila Prokhorenkova
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Mixed Nash Equilibria in the Adversarial Examples Game
In Poster Session 5
Laurent Meunier · Meyer Scetbon · Rafael Pinot · Jamal Atif · Yann Chevaleyre
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Active Covering
In Poster Session 5
Heinrich Jiang · Afshin Rostamizadeh
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Directed Graph Embeddings in Pseudo-Riemannian Manifolds
In Poster Session 5
Aaron Sim · Maciej Wiatrak · Angus Brayne · Páidí Creed · Saee Paliwal
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Nonparametric Decomposition of Sparse Tensors
In Poster Session 5
Conor Tillinghast · Shandian Zhe
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
I-BERT: Integer-only BERT Quantization
In Poster Session 5
Sehoon Kim · Amir Gholaminejad · Zhewei Yao · Michael Mahoney · EECS Kurt Keutzer
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Differentially-Private Clustering of Easy Instances
In Poster Session 5
Edith Cohen · Haim Kaplan · Yishay Mansour · Uri Stemmer · Eliad Tsfadia
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Training Adversarially Robust Sparse Networks via Bayesian Connectivity Sampling
In Poster Session 5
Ozan Özdenizci · Robert Legenstein
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Robust Representation Learning via Perceptual Similarity Metrics
In Poster Session 5
Saeid A Taghanaki · Kristy Choi · Amir Hosein Khasahmadi · Anirudh Goyal
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Coded-InvNet for Resilient Prediction Serving Systems
In Poster Session 5
Tuan Dinh · Kangwook Lee
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Domain Generalization using Causal Matching
In Poster Session 5
Divyat Mahajan · Shruti Tople · Amit Sharma
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
On the difficulty of unbiased alpha divergence minimization
In Poster Session 5
Tomas Geffner · Justin Domke
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Neural Transformation Learning for Deep Anomaly Detection Beyond Images
In Poster Session 5
Chen Qiu · Timo Pfrommer · Marius Kloft · Stephan Mandt · Maja Rudolph
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
In-Database Regression in Input Sparsity Time
In Poster Session 5
Rajesh Jayaram · Alireza Samadian · David Woodruff · Peng Ye
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Training data-efficient image transformers & distillation through attention
In Poster Session 5
Hugo Touvron · Matthieu Cord · Douze Matthijs · Francisco Massa · Alexandre Sablayrolles · Herve Jegou
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
SGLB: Stochastic Gradient Langevin Boosting
In Poster Session 5
Aleksei Ustimenko · Liudmila Prokhorenkova
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Adversarial Robustness Guarantees for Random Deep Neural Networks
In Poster Session 5
Giacomo De Palma · Bobak T Kiani · Seth Lloyd
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Quantifying the Benefit of Using Differentiable Learning over Tangent Kernels
In Poster Session 5
Eran Malach · Pritish Kamath · Emmanuel Abbe · Nati Srebro
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Quantifying Availability and Discovery in Recommender Systems via Stochastic Reachability
In Poster Session 5
Mihaela Curmei · Sarah Dean · Benjamin Recht
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Matrix Completion with Model-free Weighting
In Poster Session 5
Jiayi Wang · Ka Wai Wong · Xiaojun Mao · Kwun Chuen Gary Chan
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Learning Noise Transition Matrix from Only Noisy Labels via Total Variation Regularization
In Poster Session 5
Yivan Zhang · Gang Niu · Masashi Sugiyama
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Byzantine-Resilient High-Dimensional SGD with Local Iterations on Heterogeneous Data
In Poster Session 5
Deepesh Data · Suhas Diggavi
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Graph Convolution for Semi-Supervised Classification: Improved Linear Separability and Out-of-Distribution Generalization
In Poster Session 5
Aseem Baranwal · Kimon Fountoulakis · Aukosh Jagannath
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Few-Shot Conformal Prediction with Auxiliary Tasks
In Poster Session 5
Adam Fisch · Tal Schuster · Tommi Jaakkola · Regina Barzilay
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Predict then Interpolate: A Simple Algorithm to Learn Stable Classifiers
In Poster Session 5
Yujia Bao · Shiyu Chang · Regina Barzilay
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
RNNRepair: Automatic RNN Repair via Model-based Analysis
In Poster Session 5
Xiaofei Xie · Wenbo Guo · Lei Ma · Wei Le · Jian Wang · Lingjun Zhou · Yang Liu · Xinyu Xing
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Decoupling Representation Learning from Reinforcement Learning
In Poster Session 5
Adam Stooke · Kimin Lee · Pieter Abbeel · Michael Laskin
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Dash: Semi-Supervised Learning with Dynamic Thresholding
In Poster Session 5
Yi Xu · Lei Shang · Jinxing Ye · Qi Qian · Yu-Feng Li · Baigui Sun · Hao Li · rong jin
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Self-Damaging Contrastive Learning
In Poster Session 5
Ziyu Jiang · Tianlong Chen · Bobak Mortazavi · Zhangyang “Atlas” Wang
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Differentiable Dynamic Quantization with Mixed Precision and Adaptive Resolution
In Poster Session 5
zhaoyang zhang · Wenqi Shao · Jinwei Gu · Xiaogang Wang · Ping Luo
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Enhancing Robustness of Neural Networks through Fourier Stabilization
In Poster Session 5
Netanel Raviv · Aidan Kelley · Minzhe Guo · Yevgeniy Vorobeychik
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Flow-based Attribution in Graphical Models: A Recursive Shapley Approach
In Poster Session 5
Raghav Singal · George Michailidis · Hoiyi Ng
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
TFix: Learning to Fix Coding Errors with a Text-to-Text Transformer
In Poster Session 5
Berkay Berabi · Jingxuan He · Veselin Raychev · Martin Vechev
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
On Linear Identifiability of Learned Representations
In Poster Session 5
Geoffrey Roeder · Luke Metz · Durk Kingma
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Nonmyopic Multifidelity Acitve Search
In Poster Session 5
Quan Nguyen · Arghavan Modiri · Roman Garnett
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Parameterless Transductive Feature Re-representation for Few-Shot Learning
In Poster Session 5
Wentao Cui · Yuhong Guo
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
HAWQ-V3: Dyadic Neural Network Quantization
In Poster Session 5
Zhewei Yao · Zhen Dong · Zhangcheng Zheng · Amir Gholaminejad · Jiali Yu · Eric Tan · Leyuan Wang · Qijing Huang · Yida Wang · Michael Mahoney · EECS Kurt Keutzer
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
DeepReDuce: ReLU Reduction for Fast Private Inference
In Poster Session 5
Nandan Kumar Jha · Zahra Ghodsi · Siddharth Garg · Brandon Reagen
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Learning to Generate Noise for Multi-Attack Robustness
In Poster Session 5
Divyam Madaan · Jinwoo Shin · Sung Ju Hwang
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Binary Classification from Multiple Unlabeled Datasets via Surrogate Set Classification
In Poster Session 5
Nan Lu · Shida Lei · Gang Niu · Issei Sato · Masashi Sugiyama
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
EL-Attention: Memory Efficient Lossless Attention for Generation
In Poster Session 5
Yu Yan · Jiusheng Chen · Weizhen Qi · Nikhil Bhendawade · Yeyun Gong · Nan Duan · Ruofei Zhang
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Detecting Rewards Deterioration in Episodic Reinforcement Learning
In Poster Session 5
Ido Greenberg · Shie Mannor
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Privacy-Preserving Video Classification with Convolutional Neural Networks
In Poster Session 5
Sikha Pentyala · Rafael Dowsley · Martine De Cock
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
SketchEmbedNet: Learning Novel Concepts by Imitating Drawings
In Poster Session 5
Alexander Wang · Mengye Ren · Richard Zemel
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
First-Order Methods for Wasserstein Distributionally Robust MDP
In Poster Session 5
Julien Grand-Clement · Christian Kroer
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Addressing Catastrophic Forgetting in Few-Shot Problems
In Poster Session 5
Pauching Yap · Hippolyt Ritter · David Barber
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
CARTL: Cooperative Adversarially-Robust Transfer Learning
In Poster Session 5
Dian Chen · Hongxin Hu · Qian Wang · Li Yinli · Cong Wang · Chao Shen · Qi Li
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Parallel tempering on optimized paths
In Poster Session 5
Saifuddin Syed · Vittorio Romaniello · Trevor Campbell · Alexandre Bouchard-Côté
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Non-Negative Bregman Divergence Minimization for Deep Direct Density Ratio Estimation
In Poster Session 5
Masahiro Kato · Takeshi Teshima
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
GRAND: Graph Neural Diffusion
In Poster Session 5
Ben Chamberlain · James Rowbottom · Maria Gorinova · Michael Bronstein · Stefan Webb · Emanuele Rossi
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Quantum algorithms for reinforcement learning with a generative model
In Poster Session 5
Daochen Wang · Aarthi Sundaram · Robin Kothari · Ashish Kapoor · Martin Roetteler
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Efficient Training of Robust Decision Trees Against Adversarial Examples
In Poster Session 5
Daniël Vos · Sicco Verwer
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Uniform Convergence, Adversarial Spheres and a Simple Remedy
In Poster Session 5
Gregor Bachmann · Seyed Moosavi · Thomas Hofmann
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Unsupervised Co-part Segmentation through Assembly
In Poster Session 5
Qingzhe Gao · Bin Wang · Libin Liu · Baoquan Chen
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
PipeTransformer: Automated Elastic Pipelining for Distributed Training of Large-scale Models
In Poster Session 5
Chaoyang He · Shen Li · Mahdi Soltanolkotabi · Salman Avestimehr
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Modeling Hierarchical Structures with Continuous Recursive Neural Networks
In Poster Session 5
Jishnu Ray Chowdhury · Cornelia Caragea
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
To be Robust or to be Fair: Towards Fairness in Adversarial Training
In Poster Session 5
Han Xu · Xiaorui Liu · Yaxin Li · Anil Jain · Jiliang Tang
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Implicit Regularization in Tensor Factorization
In Poster Session 5
Noam Razin · Asaf Maman · Nadav Cohen
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Sharf: Shape-conditioned Radiance Fields from a Single View
In Poster Session 5
Konstantinos Rematas · Ricardo Martin-Brualla · Vittorio Ferrari
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Accuracy, Interpretability, and Differential Privacy via Explainable Boosting
In Poster Session 5
Harsha Nori · Rich Caruana · Zhiqi Bu · Judy Hanwen Shen · Janardhan Kulkarni
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Modularity in Reinforcement Learning via Algorithmic Independence in Credit Assignment
In Poster Session 5
Michael Chang · Sid Kaushik · Sergey Levine · Thomas Griffiths
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Representation Subspace Distance for Domain Adaptation Regression
In Poster Session 5
Xinyang Chen · Sinan Wang · Jianmin Wang · Mingsheng Long
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
On Signal-to-Noise Ratio Issues in Variational Inference for Deep Gaussian Processes
In Poster Session 5
Tim G. J. Rudner · Oscar Key · Yarin Gal · Tom Rainforth
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
On the Convergence of Hamiltonian Monte Carlo with Stochastic Gradients
In Poster Session 5
Difan Zou · Quanquan Gu
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
f-Domain Adversarial Learning: Theory and Algorithms
In Poster Session 5
David Acuna · Guojun Zhang · Marc Law · Sanja Fidler
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Grad-TTS: A Diffusion Probabilistic Model for Text-to-Speech
In Poster Session 5
Vadim Popov · Ivan Vovk · Vladimir Gogoryan · Tasnima Sadekova · Mikhail Kudinov
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Differentially Private Correlation Clustering
In Poster Session 5
Mark Bun · Marek Elias · Janardhan Kulkarni
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Mediated Uncoupled Learning: Learning Functions without Direct Input-output Correspondences
In Poster Session 5
Ikko Yamane · Junya Honda · Florian YGER · Masashi Sugiyama
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Strategic Classification in the Dark
In Poster Session 5
Ganesh Ghalme · Vineet Nair · Itay Eilat · Inbal Talgam-Cohen · Nir Rosenfeld
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Lower Bounds on Cross-Entropy Loss in the Presence of Test-time Adversaries
In Poster Session 5
Arjun Nitin Bhagoji · Daniel Cullina · Vikash Sehwag · Prateek Mittal
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Locally Private k-Means in One Round
In Poster Session 5
Alisa Chang · Badih Ghazi · Ravi Kumar · Pasin Manurangsi
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Optimization Planning for 3D ConvNets
In Poster Session 5
Zhaofan Qiu · Ting Yao · Chong-Wah Ngo · Tao Mei
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Transfer-Based Semantic Anomaly Detection
In Poster Session 5
Lucas Deecke · Lukas Ruff · Robert Vandermeulen · Hakan Bilen
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Matrix Sketching for Secure Collaborative Machine Learning
In Poster Session 5
Mengjiao Zhang · Shusen Wang
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Characterizing Fairness Over the Set of Good Models Under Selective Labels
In Poster Session 5
Amanda Coston · Ashesh Rambachan · Alexandra Chouldechova
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
CLOCS: Contrastive Learning of Cardiac Signals Across Space, Time, and Patients
In Poster Session 5
Dani Kiyasseh · Tingting Zhu · David Clifton
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Personalized Federated Learning using Hypernetworks
In Poster Session 5
Aviv Shamsian · Aviv Navon · Ethan Fetaya · Gal Chechik
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Memory-Efficient Pipeline-Parallel DNN Training
In Poster Session 5
Deepak Narayanan · Amar Phanishayee · Kaiyu Shi · Xie Chen · Matei Zaharia
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Sparse within Sparse Gaussian Processes using Neighbor Information
In Poster Session 5
Gia-Lac Tran · Dimitrios Milios · Pietro Michiardi · Maurizio Filippone
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Putting the ``Learning" into Learning-Augmented Algorithms for Frequency Estimation
In Poster Session 5
Elbert Du · Franklyn Wang · Michael Mitzenmacher
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Near-Optimal Algorithms for Explainable k-Medians and k-Means
In Poster Session 5
Konstantin Makarychev · Liren Shan
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Local Algorithms for Finding Densely Connected Clusters
In Poster Session 5
Peter Macgregor · He Sun
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Nondeterminism and Instability in Neural Network Optimization
In Poster Session 5
Cecilia Summers · Michael J Dinneen
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Sharing Less is More: Lifelong Learning in Deep Networks with Selective Layer Transfer
In Poster Session 5
Seungwon Lee · Sima Behpour · Eric Eaton
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Bayesian Attention Belief Networks
In Poster Session 5
Shujian Zhang · Xinjie Fan · Bo Chen · Mingyuan Zhou
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Defense against backdoor attacks via robust covariance estimation
In Poster Session 5
Jonathan Hayase · Weihao Kong · Raghav Somani · Sewoong Oh
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Pointwise Binary Classification with Pairwise Confidence Comparisons
In Poster Session 5
Lei Feng · Senlin Shu · Nan Lu · Bo Han · Miao Xu · Gang Niu · Bo An · Masashi Sugiyama
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
GANMEX: One-vs-One Attributions using GAN-based Model Explainability
In Poster Session 5
Sheng-Min Shih · Pin-Ju Tien · Zohar Karnin
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Robust Testing and Estimation under Manipulation Attacks
In Poster Session 5
Jayadev Acharya · Ziteng Sun · Huanyu Zhang
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Isometric Gaussian Process Latent Variable Model for Dissimilarity Data
In Poster Session 5
Martin Jørgensen · Søren Hauberg
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
On the Power of Localized Perceptron for Label-Optimal Learning of Halfspaces with Adversarial Noise
In Poster Session 5
Jie Shen
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Fair Selective Classification Via Sufficiency
In Poster Session 5
Joshua Lee · Yuheng Bu · Deepta Rajan · Prasanna Sattigeri · Rameswar Panda · Subhro Das · Gregory Wornell
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
SparseBERT: Rethinking the Importance Analysis in Self-attention
In Poster Session 5
Han Shi · Jiahui Gao · Xiaozhe Ren · Hang Xu · Xiaodan Liang · Zhenguo Li · James Kwok
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Adversarial Purification with Score-based Generative Models
In Poster Session 5
Jongmin Yoon · Sung Ju Hwang · Juho Lee
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Tighter Bounds on the Log Marginal Likelihood of Gaussian Process Regression Using Conjugate Gradients
In Poster Session 5
Artem Artemev · David Burt · Mark van der Wilk
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Active Testing: Sample-Efficient Model Evaluation
In Poster Session 5
Jannik Kossen · Sebastian Farquhar · Yarin Gal · Tom Rainforth
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
DG-LMC: A Turn-key and Scalable Synchronous Distributed MCMC Algorithm via Langevin Monte Carlo within Gibbs
In Poster Session 5
Vincent Plassier · Maxime Vono · Alain Durmus · Eric Moulines
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Online Limited Memory Neural-Linear Bandits with Likelihood Matching
In Poster Session 5
Ofir Nabati · Tom Zahavy · Shie Mannor
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
On Disentangled Representations Learned from Correlated Data
In Poster Session 5
Frederik Träuble · Elliot Creager · Niki Kilbertus · Francesco Locatello · Andrea Dittadi · Anirudh Goyal · Bernhard Schölkopf · Stefan Bauer
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Query Complexity of Adversarial Attacks
In Poster Session 5
Grzegorz Gluch · Rüdiger Urbanke
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Unified Robust Semi-Supervised Variational Autoencoder
In Poster Session 5
Xu Chen
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Markpainting: Adversarial Machine Learning meets Inpainting
In Poster Session 5
David G Khachaturov · Ilia Shumailov · Yiren Zhao · Nicolas Papernot · Ross Anderson
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Sinkhorn Label Allocation: Semi-Supervised Classification via Annealed Self-Training
In Poster Session 5
Kai Sheng Tai · Peter Bailis · Gregory Valiant
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Knowledge Enhanced Machine Learning Pipeline against Diverse Adversarial Attacks
In Poster Session 5
Nezihe Merve Gürel · Xiangyu Qi · Luka Rimanic · Ce Zhang · Bo Li
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Expressive 1-Lipschitz Neural Networks for Robust Multiple Graph Learning against Adversarial Attacks
In Poster Session 5
Xin Zhao · Zeru Zhang · Zijie Zhang · Lingfei Wu · Jiayin Jin · Yang Zhou · Ruoming Jin · Dejing Dou · Da Yan
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
A Scalable Second Order Method for Ill-Conditioned Matrix Completion from Few Samples
In Poster Session 5
Christian Kümmerle · Claudio Mayrink Verdun
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Benchmarks, Algorithms, and Metrics for Hierarchical Disentanglement
In Poster Session 5
Andrew Ross · Finale Doshi-Velez
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Fairness of Exposure in Stochastic Bandits
In Poster Session 5
Luke Lequn Wang · Yiwei Bai · Wen Sun · Thorsten Joachims
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Learning Representations by Humans, for Humans
In Poster Session 5
Sophie Hilgard · Nir Rosenfeld · Mahzarin Banaji · Jack Cao · David Parkes
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Local Correlation Clustering with Asymmetric Classification Errors
In Poster Session 5
Jafar Jafarov · Sanchit Kalhan · Konstantin Makarychev · Yury Makarychev
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Posterior Value Functions: Hindsight Baselines for Policy Gradient Methods
In Poster Session 5
Chris Nota · Philip Thomas · Bruno C. da Silva
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Deep Adaptive Design: Amortizing Sequential Bayesian Experimental Design
In Poster Session 5
Adam Foster · Desi Ivanova · ILYAS MALIK · Tom Rainforth
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Revisiting Point Cloud Shape Classification with a Simple and Effective Baseline
In Poster Session 5
Ankit Goyal · Hei Law · Bowei Liu · Alejandro Newell · Jia Deng
Session
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Poster Session 5
Oral
Thu Jul 22 05:00 PM -- 05:20 PM (PDT)
Sparse and Imperceptible Adversarial Attack via a Homotopy Algorithm
In Adversarial Learning 3
Mingkang Zhu · Tianlong Chen · Zhangyang “Atlas” Wang
[ Paper ]
Oral
Thu Jul 22 05:00 PM -- 05:20 PM (PDT)
Straight to the Gradient: Learning to Use Novel Tokens for Neural Text Generation
In Applications 3
Xiang Lin · Simeng Han · Shafiq Joty
[ Paper ]
Oral
Thu Jul 22 05:00 PM -- 05:20 PM (PDT)
Exponential Reduction in Sample Complexity with Learning of Ising Model Dynamics
In Bayesian Learning 2
Arkopal Dutt · Andrey Lokhov · Marc Vuffray · Sidhant Misra
[ Paper ]
Oral
Thu Jul 22 05:00 PM -- 05:20 PM (PDT)
Global Prosody Style Transfer Without Text Transcriptions
In Applications (NLP) 2
Kaizhi Qian · Yang Zhang · Shiyu Chang · Jinjun Xiong · Chuang Gan · David Cox · Mark Hasegawa-Johnson
[ Paper ]
Oral
Thu Jul 22 05:00 PM -- 05:20 PM (PDT)
Leveraged Weighted Loss for Partial Label Learning
In Semisupervised and Unsupervised Learning 2
Hongwei Wen · Jingyi Cui · Hanyuan Hang · Jiabin Liu · Yisen Wang · Zhouchen Lin
[ Paper ]
Oral
Thu Jul 22 05:00 PM -- 05:20 PM (PDT)
Probabilistic Generating Circuits
In Probabilistic Methods 4
Honghua Zhang · Brendan Juba · Guy Van den Broeck
[ Paper ]
Oral
Thu Jul 22 05:00 PM -- 05:20 PM (PDT)
Commutative Lie Group VAE for Disentanglement Learning
In Representation Learning 4
Xinqi Zhu · Chang Xu · Dacheng Tao
[ Paper ]
Oral
Thu Jul 22 05:00 PM -- 05:20 PM (PDT)
Composed Fine-Tuning: Freezing Pre-Trained Denoising Autoencoders for Improved Generalization
In Multi-task Learning 1
Sang Michael Xie · Tengyu Ma · Percy Liang
[ Paper ]
Oral
Thu Jul 22 05:00 PM -- 05:20 PM (PDT)
Gradient Disaggregation: Breaking Privacy in Federated Learning by Reconstructing the User Participant Matrix
In Security and Explanability
Maximilian Lam · Gu-Yeon Wei · David Brooks · Vijay Janapa Reddi · Michael Mitzenmacher
[ Paper ]
Spotlight
Thu Jul 22 05:20 PM -- 05:25 PM (PDT)
Backpropagated Neighborhood Aggregation for Accurate Training of Spiking Neural Networks
In Applications 3
Yukun Yang · Wenrui Zhang · Peng Li
[ Paper ]
Spotlight
Thu Jul 22 05:20 PM -- 05:25 PM (PDT)
Unitary Branching Programs: Learnability and Lower Bounds
In Semisupervised and Unsupervised Learning 2
Fidel Ernesto Diaz Andino · Maria Kokkou · Mateus de Oliveira Oliveira · Farhad Vadiee
[ Paper ]
Spotlight
Thu Jul 22 05:20 PM -- 05:25 PM (PDT)
Self-supervised Graph-level Representation Learning with Local and Global Structure
In Representation Learning 4
Minghao Xu · Hang Wang · Bingbing Ni · Hongyu Guo · Jian Tang
[ Paper ]
Spotlight
Thu Jul 22 05:20 PM -- 05:25 PM (PDT)
KD3A: Unsupervised Multi-Source Decentralized Domain Adaptation via Knowledge Distillation
In Multi-task Learning 1
Haozhe Feng · Zhaoyang You · Minghao Chen · Tianye Zhang · Minfeng Zhu · Fei Wu · Chao Wu · Wei Chen
[ Paper ]
Spotlight
Thu Jul 22 05:20 PM -- 05:25 PM (PDT)
Model Fusion for Personalized Learning
In Probabilistic Methods 4
Thanh Lam · Nghia Hoang · Bryan Kian Hsiang Low · Patrick Jaillet
[ Paper ]
Spotlight
Thu Jul 22 05:20 PM -- 05:25 PM (PDT)
Provable Lipschitz Certification for Generative Models
In Security and Explanability
Matt Jordan · Alexandros Dimakis
[ Paper ]
Spotlight
Thu Jul 22 05:20 PM -- 05:25 PM (PDT)
Maximum Mean Discrepancy Test is Aware of Adversarial Attacks
In Adversarial Learning 3
Ruize Gao · Feng Liu · Jingfeng Zhang · Bo Han · Tongliang Liu · Gang Niu · Masashi Sugiyama
[ Paper ]
Spotlight
Thu Jul 22 05:20 PM -- 05:25 PM (PDT)
Objective Bound Conditional Gaussian Process for Bayesian Optimization
In Bayesian Learning 2
Taewon Jeong · Heeyoung Kim
[ Paper ]
Spotlight
Thu Jul 22 05:20 PM -- 05:25 PM (PDT)
SoundDet: Polyphonic Moving Sound Event Detection and Localization from Raw Waveform
In Applications (NLP) 2
Yuhang He · Niki Trigoni · Andrew Markham
[ Paper ]
Spotlight
Thu Jul 22 05:25 PM -- 05:30 PM (PDT)
Learning Diverse-Structured Networks for Adversarial Robustness
In Adversarial Learning 3
Xuefeng Du · Jingfeng Zhang · Bo Han · Tongliang Liu · Yu Rong · Gang Niu · Junzhou Huang · Masashi Sugiyama
[ Paper ]
Spotlight
Thu Jul 22 05:25 PM -- 05:30 PM (PDT)
EfficientTTS: An Efficient and High-Quality Text-to-Speech Architecture
In Applications (NLP) 2
Chenfeng Miao · Liang Shuang · Zhengchen Liu · Chen Minchuan · Jun Ma · Shaojun Wang · Jing Xiao
[ Paper ]
Spotlight
Thu Jul 22 05:25 PM -- 05:30 PM (PDT)
Pareto GAN: Extending the Representational Power of GANs to Heavy-Tailed Distributions
In Probabilistic Methods 4
Todd Huster · Jeremy Cohen · Zinan Lin · Kevin Chan · Charles Kamhoua · Nandi O. Leslie · Cho-Yu Chiang · Vyas Sekar
[ Paper ]
Spotlight
Thu Jul 22 05:25 PM -- 05:30 PM (PDT)
Generalization Error Bound for Hyperbolic Ordinal Embedding
In Representation Learning 4
Atsushi Suzuki · Atsushi Nitanda · Jing Wang · Linchuan Xu · Kenji Yamanishi · Marc Cavazza
[ Paper ]
Spotlight
Thu Jul 22 05:25 PM -- 05:30 PM (PDT)
HEMET: A Homomorphic-Encryption-Friendly Privacy-Preserving Mobile Neural Network Architecture
In Security and Explanability
Qian Lou · Lei Jiang
[ Paper ]
Spotlight
Thu Jul 22 05:25 PM -- 05:30 PM (PDT)
Automatic variational inference with cascading flows
In Bayesian Learning 2
Luca Ambrogioni · Gianluigi Silvestri · Marcel van Gerven
[ Paper ]
Spotlight
Thu Jul 22 05:25 PM -- 05:30 PM (PDT)
Crystallization Learning with the Delaunay Triangulation
In Applications 3
Jiaqi Gu · Guosheng Yin
[ Paper ]
Spotlight
Thu Jul 22 05:25 PM -- 05:30 PM (PDT)
Provably End-to-end Label-noise Learning without Anchor Points
In Semisupervised and Unsupervised Learning 2
Xuefeng Li · Tongliang Liu · Bo Han · Gang Niu · Masashi Sugiyama
[ Paper ]
Spotlight
Thu Jul 22 05:25 PM -- 05:30 PM (PDT)
REPAINT: Knowledge Transfer in Deep Reinforcement Learning
In Multi-task Learning 1
Yunzhe Tao · Sahika Genc · Jonathan Chung · TAO SUN · Sunil Mallya
[ Paper ]
Spotlight
Thu Jul 22 05:30 PM -- 05:35 PM (PDT)
Group Fisher Pruning for Practical Network Compression
In Applications 3
Liyang Liu · Shilong Zhang · Zhanghui Kuang · Aojun Zhou · Jing-Hao Xue · Xinjiang Wang · Yimin Chen · Wenming Yang · Qingmin Liao · Wayne Zhang
[ Paper ]
Spotlight
Thu Jul 22 05:30 PM -- 05:35 PM (PDT)
Estimating Identifiable Causal Effects on Markov Equivalence Class through Double Machine Learning
In Bayesian Learning 2
Yonghan Jung · Jin Tian · Elias Bareinboim
[ Paper ]
Spotlight
Thu Jul 22 05:30 PM -- 05:35 PM (PDT)
Neighborhood Contrastive Learning Applied to Online Patient Monitoring
In Representation Learning 4
Hugo Yèche · Gideon Dresdner · Francesco Locatello · Matthias Hüser · Gunnar Rätsch
[ Paper ]
Spotlight
Thu Jul 22 05:30 PM -- 05:35 PM (PDT)
MorphVAE: Generating Neural Morphologies from 3D-Walks using a Variational Autoencoder with Spherical Latent Space
In Semisupervised and Unsupervised Learning 2
Sophie Laturnus · Philipp Berens
[ Paper ]
Spotlight
Thu Jul 22 05:30 PM -- 05:35 PM (PDT)
Exploiting Shared Representations for Personalized Federated Learning
In Multi-task Learning 1
Liam Collins · Hamed Hassani · Aryan Mokhtari · Sanjay Shakkottai
[ Paper ]
Spotlight
Thu Jul 22 05:30 PM -- 05:35 PM (PDT)
Run-Sort-ReRun: Escaping Batch Size Limitations in Sliced Wasserstein Generative Models
In Probabilistic Methods 4
José Lezama · Wei Chen · Qiang Qiu
[ Paper ]
Spotlight
Thu Jul 22 05:30 PM -- 05:35 PM (PDT)
PopSkipJump: Decision-Based Attack for Probabilistic Classifiers
In Adversarial Learning 3
Carl-Johann Simon-Gabriel · Noman Ahmed Sheikh · Andreas Krause
[ Paper ]
Spotlight
Thu Jul 22 05:30 PM -- 05:35 PM (PDT)
Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speech
In Applications (NLP) 2
Jaehyeon Kim · Jungil Kong · Juhee Son
[ Paper ]
Spotlight
Thu Jul 22 05:30 PM -- 05:35 PM (PDT)
Explanations for Monotonic Classifiers.
In Security and Explanability
Joao Marques-Silva · Thomas Gerspacher · Martin Cooper · Alexey Ignatiev · Nina Narodytska
[ Paper ]
Spotlight
Thu Jul 22 05:35 PM -- 05:40 PM (PDT)
Lossless Compression of Efficient Private Local Randomizers
In Security and Explanability
Vitaly Feldman · Kunal Talwar
[ Paper ]
Spotlight
Thu Jul 22 05:35 PM -- 05:40 PM (PDT)
Large-Scale Meta-Learning with Continual Trajectory Shifting
In Multi-task Learning 1
JaeWoong Shin · Hae Beom Lee · Boqing Gong · Sung Ju Hwang
[ Paper ]
Spotlight
Thu Jul 22 05:35 PM -- 05:40 PM (PDT)
Bias-Free Scalable Gaussian Processes via Randomized Truncations
In Bayesian Learning 2
Andres Potapczynski · Luhuan Wu · Dan Biderman · Geoff Pleiss · John Cunningham
[ Paper ]
Spotlight
Thu Jul 22 05:35 PM -- 05:40 PM (PDT)
Learning de-identified representations of prosody from raw audio
In Applications (NLP) 2
Jack Weston · Raphael Lenain · Udeepa Meepegama · Emil Fristed
[ Paper ]
Spotlight
Thu Jul 22 05:35 PM -- 05:40 PM (PDT)
Simple and Effective VAE Training with Calibrated Decoders
In Representation Learning 4
Oleh Rybkin · Kostas Daniilidis · Sergey Levine
[ Paper ]
Spotlight
Thu Jul 22 05:35 PM -- 05:40 PM (PDT)
BASE Layers: Simplifying Training of Large, Sparse Models
In Applications 3
Mike Lewis · Shruti Bhosale · Tim Dettmers · Naman Goyal · Luke Zettlemoyer
[ Paper ]
Spotlight
Thu Jul 22 05:35 PM -- 05:40 PM (PDT)
Towards Better Robust Generalization with Shift Consistency Regularization
In Adversarial Learning 3
Shufei Zhang · Zhuang Qian · Kaizhu Huang · Qiufeng Wang · Rui Zhang · Xinping Yi
[ Paper ]
Spotlight
Thu Jul 22 05:35 PM -- 05:40 PM (PDT)
Statistical Estimation from Dependent Data
In Probabilistic Methods 4
Vardis Kandiros · Yuval Dagan · Nishanth Dikkala · Surbhi Goel · Constantinos Daskalakis
[ Paper ]
Spotlight
Thu Jul 22 05:35 PM -- 05:40 PM (PDT)
Unsupervised Embedding Adaptation via Early-Stage Feature Reconstruction for Few-Shot Classification
In Semisupervised and Unsupervised Learning 2
Dong Hoon Lee · Sae-Young Chung
[ Paper ]
Spotlight
Thu Jul 22 05:40 PM -- 05:45 PM (PDT)
Exploration in Approximate Hyper-State Space for Meta Reinforcement Learning
In Multi-task Learning 1
Luisa Zintgraf · Leo Feng · Cong Lu · Maximilian Igl · Kristian Hartikainen · Katja Hofmann · Shimon Whiteson
[ Paper ]
Spotlight
Thu Jul 22 05:40 PM -- 05:45 PM (PDT)
Decomposed Mutual Information Estimation for Contrastive Representation Learning
In Representation Learning 4
Alessandro Sordoni · Nouha Dziri · Hannes Schulz · Geoff Gordon · Philip Bachman · Remi Tachet des Combes
[ Paper ]
Spotlight
Thu Jul 22 05:40 PM -- 05:45 PM (PDT)
Context-Aware Online Collective Inference for Templated Graphical Models
In Probabilistic Methods 4
Charles Dickens · Connor Pryor · Eriq Augustine · Alexander Miller · Lise Getoor
[ Paper ]
Spotlight
Thu Jul 22 05:40 PM -- 05:45 PM (PDT)
UniSpeech: Unified Speech Representation Learning with Labeled and Unlabeled Data
In Applications (NLP) 2
Chengyi Wang · Yu Wu · Yao Qian · Kenichi Kumatani · Shujie Liu · Furu Wei · Michael Zeng · Xuedong Huang
[ Paper ]
Spotlight
Thu Jul 22 05:40 PM -- 05:45 PM (PDT)
CRFL: Certifiably Robust Federated Learning against Backdoor Attacks
In Security and Explanability
Chulin Xie · Minghao Chen · Pin-Yu Chen · Bo Li
[ Paper ]
Spotlight
Thu Jul 22 05:40 PM -- 05:45 PM (PDT)
SG-PALM: a Fast Physically Interpretable Tensor Graphical Model
In Bayesian Learning 2
Yu Wang · Alfred Hero
[ Paper ]
Spotlight
Thu Jul 22 05:40 PM -- 05:45 PM (PDT)
Robust Learning for Data Poisoning Attacks
In Adversarial Learning 3
Yunjuan Wang · Poorya Mianjy · Raman Arora
[ Paper ]
Spotlight
Thu Jul 22 05:40 PM -- 05:45 PM (PDT)
STRODE: Stochastic Boundary Ordinary Differential Equation
In Applications 3
Huang Hengguan · Hongfu Liu · Hao Wang · Chang Xiao · Ye Wang
[ Paper ]
Spotlight
Thu Jul 22 05:40 PM -- 05:45 PM (PDT)
Improved Algorithms for Agnostic Pool-based Active Classification
In Semisupervised and Unsupervised Learning 2
Julian Katz-Samuels · Jifan Zhang · Lalit Jain · Kevin Jamieson
[ Paper ]
Spotlight
Thu Jul 22 05:45 PM -- 05:50 PM (PDT)
You Only Sample (Almost) Once: Linear Cost Self-Attention Via Bernoulli Sampling
In Applications (NLP) 2
Zhanpeng Zeng · Yunyang Xiong · Sathya Ravi · Shailesh Acharya · Glenn Fung · Vikas Singh
[ Paper ]
Spotlight
Thu Jul 22 05:45 PM -- 05:50 PM (PDT)
LogME: Practical Assessment of Pre-trained Models for Transfer Learning
In Multi-task Learning 1
Kaichao You · Yong Liu · Jianmin Wang · Mingsheng Long
[ Paper ]
Spotlight
Thu Jul 22 05:45 PM -- 05:50 PM (PDT)
Causality-aware counterfactual confounding adjustment as an alternative to linear residualization in anticausal prediction tasks based on linear learners
In Probabilistic Methods 4
Elias Chaibub Neto
[ Paper ]
Spotlight
Thu Jul 22 05:45 PM -- 05:50 PM (PDT)
Mind the Box: $l_1$-APGD for Sparse Adversarial Attacks on Image Classifiers
In Adversarial Learning 3
Francesco Croce · Matthias Hein
[ Paper ]
Spotlight
Thu Jul 22 05:45 PM -- 05:50 PM (PDT)
Grey-box Extraction of Natural Language Models
In Security and Explanability
Santiago Zanella-Beguelin · Shruti Tople · Andrew Paverd · Boris Köpf
[ Paper ]
Spotlight
Thu Jul 22 05:45 PM -- 05:50 PM (PDT)
Structured World Belief for Reinforcement Learning in POMDP
In Representation Learning 4
Gautam Singh · Skand Peri · Junghyun Kim · Hyunseok Kim · Sungjin Ahn
[ Paper ]
Spotlight
Thu Jul 22 05:45 PM -- 05:50 PM (PDT)
A Zeroth-Order Block Coordinate Descent Algorithm for Huge-Scale Black-Box Optimization
In Applications 3
HanQin Cai · Yuchen Lou · Daniel Mckenzie · Wotao Yin
[ Paper ]
Spotlight
Thu Jul 22 05:45 PM -- 05:50 PM (PDT)
Black-box density function estimation using recursive partitioning
In Bayesian Learning 2
Erik Bodin · Zhenwen Dai · Neill Campbell · Carl Henrik Ek
[ Paper ]
Spotlight
Thu Jul 22 05:45 PM -- 05:50 PM (PDT)
Adversarial Multi Class Learning under Weak Supervision with Performance Guarantees
In Semisupervised and Unsupervised Learning 2
Alessio Mazzetto · Cyrus Cousins · Dylan Sam · Stephen Bach · Eli Upfal
[ Paper ]
Q&A
Thu Jul 22 05:50 PM -- 05:55 PM (PDT)
Q&A
In Security and Explanability
Q&A
Thu Jul 22 05:50 PM -- 05:55 PM (PDT)
Q&A
In Bayesian Learning 2
Q&A
Thu Jul 22 05:50 PM -- 05:55 PM (PDT)
Q&A
In Semisupervised and Unsupervised Learning 2
Q&A
Thu Jul 22 05:50 PM -- 05:55 PM (PDT)
Q&A
In Adversarial Learning 3
Q&A
Thu Jul 22 05:50 PM -- 05:55 PM (PDT)
Q&A
In Multi-task Learning 1
Q&A
Thu Jul 22 05:50 PM -- 05:55 PM (PDT)
Q&A
In Applications 3
Q&A
Thu Jul 22 05:50 PM -- 05:55 PM (PDT)
Q&A
In Probabilistic Methods 4
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Thu Jul 22 05:50 PM -- 05:55 PM (PDT)
Q&A
In Applications (NLP) 2
Q&A
Thu Jul 22 05:50 PM -- 05:55 PM (PDT)
Q&A
In Representation Learning 4
Oral
Thu Jul 22 06:00 PM -- 06:20 PM (PDT)
Unsupervised Representation Learning via Neural Activation Coding
In Representation Learning 5
Yookoon Park · Sangho Lee · Gunhee Kim · David Blei
[ Paper ]
Oral
Thu Jul 22 06:00 PM -- 06:20 PM (PDT)
Calibrate Before Use: Improving Few-shot Performance of Language Models
In Applications (NLP) 3
Tony Z. Zhao · Eric Wallace · Shi Feng · Dan Klein · Sameer Singh
[ Paper ]
Oral
Thu Jul 22 06:00 PM -- 06:20 PM (PDT)
Private Stochastic Convex Optimization: Optimal Rates in L1 Geometry
In Privacy 4
Hilal Asi · Vitaly Feldman · Tomer Koren · Kunal Talwar
[ Paper ]
Oral
Thu Jul 22 06:00 PM -- 06:20 PM (PDT)
Integer Programming for Causal Structure Learning in the Presence of Latent Variables
In Algorithms 3
Rui Chen · Sanjeeb Dash · Tian Gao
[ Paper ]
Oral
Thu Jul 22 06:00 PM -- 06:20 PM (PDT)
WILDS: A Benchmark of in-the-Wild Distribution Shifts
In Multi-task Learning 2
Pang Wei Koh · Shiori Sagawa · Henrik Marklund · Sang Michael Xie · Marvin Zhang · Akshay Balsubramani · Weihua Hu · Michihiro Yasunaga · Richard Lanas Phillips · Irena Gao · Tony Lee · Etienne David · Ian Stavness · Wei Guo · Berton Earnshaw · Imran Haque · Sara Beery · Jure Leskovec · Anshul Kundaje · Emma Pierson · Sergey Levine · Chelsea Finn · Percy Liang
[ Paper ]
Oral
Thu Jul 22 06:00 PM -- 06:20 PM (PDT)
Label Inference Attacks from Log-loss Scores
In Security
Abhinav Aggarwal · Shiva Kasiviswanathan · Zekun Xu · Oluwaseyi Feyisetan · Nathanael Teissier
[ Paper ]
Oral
Thu Jul 22 06:00 PM -- 06:20 PM (PDT)
Solving high-dimensional parabolic PDEs using the tensor train format
In Probabilistic Methods 5
Lorenz Richter · Leon Sallandt · Nikolas Nüsken
[ Paper ]
Oral
Thu Jul 22 06:00 PM -- 06:20 PM (PDT)
Learn-to-Share: A Hardware-friendly Transfer Learning Framework Exploiting Computation and Parameter Sharing
In Algorithms 4
Cheng Fu · Hanxian Huang · Xinyun Chen · Yuandong Tian · Jishen Zhao
[ Paper ]
Oral
Thu Jul 22 06:00 PM -- 06:20 PM (PDT)
Dimensionality Reduction for the Sum-of-Distances Metric
In Unsupervised Learning 2
Zhili Feng · Praneeth Kacham · David Woodruff
[ Paper ]
Spotlight
Thu Jul 22 06:20 PM -- 06:25 PM (PDT)
Latent Space Energy-Based Model of Symbol-Vector Coupling for Text Generation and Classification
In Algorithms 4
Bo Pang · Ying Nian Wu
[ Paper ]
Spotlight
Thu Jul 22 06:20 PM -- 06:25 PM (PDT)
Online Selection Problems against Constrained Adversary
In Algorithms 3
Zhihao Jiang · Pinyan Lu · Zhihao Gavin Tang · Yuhao Zhang
[ Paper ]
Spotlight
Thu Jul 22 06:20 PM -- 06:25 PM (PDT)
Demystifying Inductive Biases for (Beta-)VAE Based Architectures
In Representation Learning 5
Dominik Zietlow · Michal Rolinek · Georg Martius
[ Paper ]
Spotlight
Thu Jul 22 06:20 PM -- 06:25 PM (PDT)
Generative Causal Explanations for Graph Neural Networks
In Security
Wanyu Lin · Hao Lan · Baochun Li
[ Paper ]
Spotlight
Thu Jul 22 06:20 PM -- 06:25 PM (PDT)
On-the-fly Rectification for Robust Large-Vocabulary Topic Inference
In Applications (NLP) 3
Moontae Lee · Sungjun Cho · Kun Dong · David Mimno · David Bindel
[ Paper ]
Spotlight
Thu Jul 22 06:20 PM -- 06:25 PM (PDT)
Differentially Private Aggregation in the Shuffle Model: Almost Central Accuracy in Almost a Single Message
In Privacy 4
Badih Ghazi · Ravi Kumar · Pasin Manurangsi · Rasmus Pagh · Amer Sinha
[ Paper ]
Spotlight
Thu Jul 22 06:20 PM -- 06:25 PM (PDT)
Large Scale Private Learning via Low-rank Reparametrization
In Probabilistic Methods 5
Da Yu · Huishuai Zhang · Wei Chen · Jian Yin · Tie-Yan Liu
[ Paper ]
Spotlight
Thu Jul 22 06:20 PM -- 06:25 PM (PDT)
A Sampling-Based Method for Tensor Ring Decomposition
In Unsupervised Learning 2
Osman Asif Malik · Stephen Becker
[ Paper ]
Spotlight
Thu Jul 22 06:20 PM -- 06:25 PM (PDT)
Improving Generalization in Meta-learning via Task Augmentation
In Multi-task Learning 2
Huaxiu Yao · Long-Kai Huang · Linjun Zhang · Ying WEI · Li Tian · James Zou · Junzhou Huang · Zhenhui (Jessie) Li
[ Paper ]
Spotlight
Thu Jul 22 06:25 PM -- 06:30 PM (PDT)
Examining and Combating Spurious Features under Distribution Shift
In Representation Learning 5
Chunting Zhou · Xuezhe Ma · Paul Michel · Graham Neubig
[ Paper ]
Spotlight
Thu Jul 22 06:25 PM -- 06:30 PM (PDT)
SGA: A Robust Algorithm for Partial Recovery of Tree-Structured Graphical Models with Noisy Samples
In Algorithms 3
Anshoo Tandon · Aldric Han · Vincent Tan
[ Paper ]
Spotlight
Thu Jul 22 06:25 PM -- 06:30 PM (PDT)
Improving Predictors via Combination Across Diverse Task Categories
In Multi-task Learning 2
Kwang In Kim
[ Paper ]
Spotlight
Thu Jul 22 06:25 PM -- 06:30 PM (PDT)
Towards Understanding and Mitigating Social Biases in Language Models
In Applications (NLP) 3
Paul Liang · Chiyu Wu · Louis-Philippe Morency · Ruslan Salakhutdinov
[ Paper ]
Spotlight
Thu Jul 22 06:25 PM -- 06:30 PM (PDT)
Watermarking Deep Neural Networks with Greedy Residuals
In Security
Hanwen Liu · Zhenyu Weng · Yuesheng Zhu
[ Paper ]
Spotlight
Thu Jul 22 06:25 PM -- 06:30 PM (PDT)
Policy Caches with Successor Features
In Algorithms 4
Mark Nemecek · Ron Parr
[ Paper ]
Spotlight
Thu Jul 22 06:25 PM -- 06:30 PM (PDT)
Model-Targeted Poisoning Attacks with Provable Convergence
In Privacy 4
Fnu Suya · Saeed Mahloujifar · Anshuman Suri · David Evans · Yuan Tian
[ Paper ]
Spotlight
Thu Jul 22 06:25 PM -- 06:30 PM (PDT)
Breaking the Deadly Triad with a Target Network
In Probabilistic Methods 5
Shangtong Zhang · Hengshuai Yao · Shimon Whiteson
[ Paper ]
Spotlight
Thu Jul 22 06:25 PM -- 06:30 PM (PDT)
CountSketches, Feature Hashing and the Median of Three
In Unsupervised Learning 2
Kasper Green Larsen · Rasmus Pagh · Jakub Tětek
[ Paper ]
Spotlight
Thu Jul 22 06:30 PM -- 06:35 PM (PDT)
Unsupervised Part Representation by Flow Capsules
In Representation Learning 5
Sara Sabour Rouh Aghdam · Andrea Tagliasacchi · Soroosh Yazdani · Geoffrey Hinton · David Fleet
[ Paper ]
Spotlight
Thu Jul 22 06:30 PM -- 06:35 PM (PDT)
Practical and Private (Deep) Learning Without Sampling or Shuffling
In Privacy 4
Peter Kairouz · Brendan McMahan · Shuang Song · Om Dipakbhai Thakkar · Abhradeep Guha Thakurta · Zheng Xu
[ Paper ]
Spotlight
Thu Jul 22 06:30 PM -- 06:35 PM (PDT)
Differentially Private Bayesian Inference for Generalized Linear Models
In Security
Tejas Kulkarni · Joonas Jälkö · Antti Koskela · Samuel Kaski · Antti Honkela
[ Paper ]
Spotlight
Thu Jul 22 06:30 PM -- 06:35 PM (PDT)
MetaCURE: Meta Reinforcement Learning with Empowerment-Driven Exploration
In Multi-task Learning 2
Jin Zhang · Jianhao Wang · Hao Hu · Tong Chen · Yingfeng Chen · Changjie Fan · Chongjie Zhang
[ Paper ]
Spotlight
Thu Jul 22 06:30 PM -- 06:35 PM (PDT)
Efficient Online Learning for Dynamic k-Clustering
In Algorithms 3
Dimitris Fotakis · Georgios Piliouras · Stratis Skoulakis
[ Paper ]
Spotlight
Thu Jul 22 06:30 PM -- 06:35 PM (PDT)
Disentangling syntax and semantics in the brain with deep networks
In Applications (NLP) 3
Charlotte Caucheteux · Alexandre Gramfort · Jean-Remi King
[ Paper ]
Spotlight
Thu Jul 22 06:30 PM -- 06:35 PM (PDT)
Single Pass Entrywise-Transformed Low Rank Approximation
In Unsupervised Learning 2
Yifei Jiang · Yi Li · Yiming Sun · Jiaxin Wang · David Woodruff
[ Paper ]
Spotlight
Thu Jul 22 06:30 PM -- 06:35 PM (PDT)
Average-Reward Off-Policy Policy Evaluation with Function Approximation
In Probabilistic Methods 5
Shangtong Zhang · Yi Wan · Richard Sutton · Shimon Whiteson
[ Paper ]
Spotlight
Thu Jul 22 06:30 PM -- 06:35 PM (PDT)
Meta-Thompson Sampling
In Algorithms 4
Branislav Kveton · Mikhail Konobeev · Manzil Zaheer · Chih-wei Hsu · Martin Mladenov · Craig Boutilier · Csaba Szepesvari
[ Paper ]
Spotlight
Thu Jul 22 06:35 PM -- 06:40 PM (PDT)
Integrated Defense for Resilient Graph Matching
In Algorithms 4
Jiaxiang Ren · Zijie Zhang · Jiayin Jin · Xin Zhao · Sixing Wu · Yang Zhou · Yelong Shen · Tianshi Che · Ruoming Jin · Dejing Dou
[ Paper ]
Spotlight
Thu Jul 22 06:35 PM -- 06:40 PM (PDT)
Cross-model Back-translated Distillation for Unsupervised Machine Translation
In Applications (NLP) 3
Xuan-Phi Nguyen · Shafiq Joty · Thanh-Tung Nguyen · Kui Wu · Ai Ti Aw
[ Paper ]
Spotlight
Thu Jul 22 06:35 PM -- 06:40 PM (PDT)
On Recovering from Modeling Errors Using Testing Bayesian Networks
In Algorithms 3
Haiying Huang · Adnan Darwiche
[ Paper ]
Spotlight
Thu Jul 22 06:35 PM -- 06:40 PM (PDT)
Decentralized Single-Timescale Actor-Critic on Zero-Sum Two-Player Stochastic Games
In Probabilistic Methods 5
Hongyi Guo · Zuyue Fu · Zhuoran Yang · Zhaoran Wang
[ Paper ]
Spotlight
Thu Jul 22 06:35 PM -- 06:40 PM (PDT)
Image-Level or Object-Level? A Tale of Two Resampling Strategies for Long-Tailed Detection
In Representation Learning 5
Nadine Chang · Zhiding Yu · Yu-Xiong Wang · Anima Anandkumar · Sanja Fidler · Jose Alvarez
[ Paper ]
Spotlight
Thu Jul 22 06:35 PM -- 06:40 PM (PDT)
Active Slices for Sliced Stein Discrepancy
In Unsupervised Learning 2
Wenbo Gong · Kaibo Zhang · Yingzhen Li · Jose Miguel Hernandez-Lobato
[ Paper ]
Spotlight
Thu Jul 22 06:35 PM -- 06:40 PM (PDT)
Leveraging Public Data for Practical Private Query Release
In Privacy 4
Terrance Liu · Giuseppe Vietri · Thomas Steinke · Jonathan Ullman · Steven Wu
[ Paper ]
Spotlight
Thu Jul 22 06:35 PM -- 06:40 PM (PDT)
Offline Meta-Reinforcement Learning with Advantage Weighting
In Multi-task Learning 2
Eric Mitchell · Rafael Rafailov · Xue Bin Peng · Sergey Levine · Chelsea Finn
[ Paper ]
Spotlight
Thu Jul 22 06:35 PM -- 06:40 PM (PDT)
Globally-Robust Neural Networks
In Security
Klas Leino · Zifan Wang · Matt Fredrikson
[ Paper ]
Spotlight
Thu Jul 22 06:40 PM -- 06:45 PM (PDT)
Supervised Tree-Wasserstein Distance
In Algorithms 4
Yuki Takezawa · Ryoma Sato · Makoto Yamada
[ Paper ]
Spotlight
Thu Jul 22 06:40 PM -- 06:45 PM (PDT)
Private Adaptive Gradient Methods for Convex Optimization
In Privacy 4
Hilal Asi · John Duchi · Alireza Fallah · Omid Javidbakht · Kunal Talwar
[ Paper ]
Spotlight
Thu Jul 22 06:40 PM -- 06:45 PM (PDT)
Bridging Multi-Task Learning and Meta-Learning: Towards Efficient Training and Effective Adaptation
In Multi-task Learning 2
Haoxiang Wang · Han Zhao · Bo Li
[ Paper ]
Spotlight
Thu Jul 22 06:40 PM -- 06:45 PM (PDT)
Efficient Iterative Amortized Inference for Learning Symmetric and Disentangled Multi-Object Representations
In Representation Learning 5
Patrick Emami · Pan He · Sanjay Ranka · Anand Rangarajan
[ Paper ]
Spotlight
Thu Jul 22 06:40 PM -- 06:45 PM (PDT)
Towards Practical Mean Bounds for Small Samples
In Algorithms 3
My Phan · Philip Thomas · Erik Learned-Miller
[ Paper ]
Spotlight
Thu Jul 22 06:40 PM -- 06:45 PM (PDT)
Few-shot Language Coordination by Modeling Theory of Mind
In Applications (NLP) 3
Hao Zhu · Graham Neubig · Yonatan Bisk
[ Paper ]
Spotlight
Thu Jul 22 06:40 PM -- 06:45 PM (PDT)
When Does Data Augmentation Help With Membership Inference Attacks?
In Security
Yigitcan Kaya · Tudor Dumitras
[ Paper ]
Spotlight
Thu Jul 22 06:40 PM -- 06:45 PM (PDT)
Projection techniques to update the truncated SVD of evolving matrices with applications
In Unsupervised Learning 2
Vasileios Kalantzis · Georgios Kollias · Shashanka Ubaru · Athanasios N. Nikolakopoulos · Lior Horesh · Kenneth Clarkson
[ Paper ]
Spotlight
Thu Jul 22 06:40 PM -- 06:45 PM (PDT)
Optimal Non-Convex Exact Recovery in Stochastic Block Model via Projected Power Method
In Probabilistic Methods 5
Peng Wang · Huikang Liu · Zirui Zhou · Anthony Man-Cho So
[ Paper ]
Q&A
Thu Jul 22 06:45 PM -- 06:50 PM (PDT)
Q&A
In Applications (NLP) 3
Q&A
Thu Jul 22 06:45 PM -- 06:50 PM (PDT)
Q&A
In Multi-task Learning 2
Spotlight
Thu Jul 22 06:45 PM -- 06:50 PM (PDT)
Temporal Predictive Coding For Model-Based Planning In Latent Space
In Representation Learning 5
Tung Nguyen · Rui Shu · Tuan Pham · Hung Bui · Stefano Ermon
[ Paper ]
Spotlight
Thu Jul 22 06:45 PM -- 06:50 PM (PDT)
Monte Carlo Variational Auto-Encoders
In Algorithms 3
Achille Thin · Nikita Kotelevskii · Arnaud Doucet · Alain Durmus · Eric Moulines · Maxim Panov
[ Paper ]
Spotlight
Thu Jul 22 06:45 PM -- 06:50 PM (PDT)
Correcting Exposure Bias for Link Recommendation
In Security
Shantanu Gupta · Hao Wang · Zachary Lipton · Yuyang Wang
[ Paper ]
Spotlight
Thu Jul 22 06:45 PM -- 06:50 PM (PDT)
Oneshot Differentially Private Top-k Selection
In Privacy 4
Gang Qiao · Weijie Su · Li Zhang
[ Paper ]
Spotlight
Thu Jul 22 06:45 PM -- 06:50 PM (PDT)
Optimal Counterfactual Explanations in Tree Ensembles
In Probabilistic Methods 5
Axel Parmentier · Thibaut Vidal
[ Paper ]
Spotlight
Thu Jul 22 06:45 PM -- 06:50 PM (PDT)
Fixed-Parameter and Approximation Algorithms for PCA with Outliers
In Unsupervised Learning 2
Yogesh Dahiya · Fedor Fomin · Fahad Panolan · Kirill Simonov
[ Paper ]
Spotlight
Thu Jul 22 06:45 PM -- 06:50 PM (PDT)
Which transformer architecture fits my data? A vocabulary bottleneck in self-attention
In Algorithms 4
Noam Wies · Yoav Levine · Daniel Jannai · Amnon Shashua
[ Paper ]
Q&A
Thu Jul 22 06:50 PM -- 06:55 PM (PDT)
Q&A
In Probabilistic Methods 5
Q&A
Thu Jul 22 06:50 PM -- 06:55 PM (PDT)
Q&A
In Unsupervised Learning 2
Q&A
Thu Jul 22 06:50 PM -- 06:55 PM (PDT)
Q&A
In Algorithms 3
Q&A
Thu Jul 22 06:50 PM -- 06:55 PM (PDT)
Q&A
In Privacy 4
Q&A
Thu Jul 22 06:50 PM -- 06:55 PM (PDT)
Q&A
In Algorithms 4
Q&A
Thu Jul 22 06:50 PM -- 06:55 PM (PDT)
Q&A
In Representation Learning 5
Q&A
Thu Jul 22 06:50 PM -- 06:55 PM (PDT)
Q&A
In Security
Oral
Thu Jul 22 07:00 PM -- 07:20 PM (PDT)
Differentially Private Sliced Wasserstein Distance
In Privacy 5
alain rakotomamonjy · Ralaivola Liva
[ Paper ]
Oral
Thu Jul 22 07:00 PM -- 07:20 PM (PDT)
Additive Error Guarantees for Weighted Low Rank Approximation
In Unsupervised Learning 4
Aditya Bhaskara · Aravinda Kanchana Ruwanpathirana · Pruthuvi Maheshakya Wijewardena
[ Paper ]
Oral
Thu Jul 22 07:00 PM -- 07:20 PM (PDT)
Graph Neural Networks Inspired by Classical Iterative Algorithms
In Representation Learning 6
Yang Yongyi · Tang Liu · Yangkun Wang · Jinjing Zhou · Quan Gan · Zhewei Wei · Zheng Zhang · Zengfeng Huang · David Wipf
[ Paper ]
Oral
Thu Jul 22 07:00 PM -- 07:20 PM (PDT)
Correlation Clustering in Constant Many Parallel Rounds
In Unsupervised Learning 3
Vincent Cohen-Addad · Silvio Lattanzi · Slobodan Mitrović · Ashkan Norouzi-Fard · Nikos Parotsidis · Jakub Tarnawski
[ Paper ]
Oral
Thu Jul 22 07:00 PM -- 07:20 PM (PDT)
A General Framework For Detecting Anomalous Inputs to DNN Classifiers
In Adversarial Learning 4
Jayaram Raghuram · Varun Chandrasekaran · Somesh Jha · Suman Banerjee
[ Paper ]
Oral
Thu Jul 22 07:00 PM -- 07:20 PM (PDT)
Graph Cuts Always Find a Global Optimum for Potts Models (With a Catch)
In Probabilistic Methods 6
Hunter Lang · David Sontag · Aravindan Vijayaraghavan
[ Paper ]
Oral
Thu Jul 22 07:00 PM -- 07:20 PM (PDT)
Crowdsourcing via Annotator Co-occurrence Imputation and Provable Symmetric Nonnegative Matrix Factorization
In Unsupervised Learning 5
Shahana Ibrahim · Xiao Fu
[ Paper ]
Oral
Thu Jul 22 07:00 PM -- 07:20 PM (PDT)
Learning Transferable Visual Models From Natural Language Supervision
In Multi-modal and Meta Learning
Alec Radford · Jong Wook Kim · Chris Hallacy · Aditya Ramesh · Gabriel Goh · Sandhini Agarwal · Girish Sastry · Amanda Askell · Pamela Mishkin · Jack Clark · Gretchen Krueger · Ilya Sutskever
[ Paper ]
Oral
Thu Jul 22 07:00 PM -- 07:20 PM (PDT)
Order-Agnostic Cross Entropy for Non-Autoregressive Machine Translation
In Applications (NLP) 4
Cunxiao Du · Zhaopeng Tu · Jing Jiang
[ Paper ]
Spotlight
Thu Jul 22 07:00 PM -- 07:05 PM (PDT)
Explaining Time Series Predictions with Dynamic Masks
In Security and Transparency
Jonathan Crabbé · Mihaela van der Schaar
[ Paper ]
Spotlight
Thu Jul 22 07:05 PM -- 07:10 PM (PDT)
Neural Tangent Generalization Attacks
In Security and Transparency
Chia-Hung Yuan · Shan-Hung (Brandon) Wu
[ Paper ]
Spotlight
Thu Jul 22 07:10 PM -- 07:15 PM (PDT)
Understanding and Mitigating Accuracy Disparity in Regression
In Security and Transparency
Jianfeng Chi · Yuan Tian · Geoff Gordon · Han Zhao
[ Paper ]
Spotlight
Thu Jul 22 07:15 PM -- 07:20 PM (PDT)
Backdoor Scanning for Deep Neural Networks through K-Arm Optimization
In Security and Transparency
Guangyu Shen · Yingqi Liu · Guanhong Tao · Shengwei An · Qiuling Xu · Siyuan Cheng · Shiqing Ma · Xiangyu Zhang
[ Paper ]
Oral
Thu Jul 22 07:20 PM -- 07:40 PM (PDT)
SKIing on Simplices: Kernel Interpolation on the Permutohedral Lattice for Scalable Gaussian Processes
In Probabilistic Methods 6
Sanyam Kapoor · Marc Finzi · Ke Alexander Wang · Andrew Wilson
[ Paper ]
Oral
Thu Jul 22 07:20 PM -- 07:40 PM (PDT)
Mixed Cross Entropy Loss for Neural Machine Translation
In Applications (NLP) 4
Haoran Li · Wei Lu
[ Paper ]
Spotlight
Thu Jul 22 07:20 PM -- 07:25 PM (PDT)
A Scalable Deterministic Global Optimization Algorithm for Clustering Problems
In Unsupervised Learning 3
Kaixun Hua · Mingfei Shi · Yankai Cao
[ Paper ]
Spotlight
Thu Jul 22 07:20 PM -- 07:25 PM (PDT)
Differentially Private Densest Subgraph Detection
In Privacy 5
Dung Nguyen · Anil Vullikanti
[ Paper ]
Spotlight
Thu Jul 22 07:20 PM -- 07:25 PM (PDT)
Message Passing Adaptive Resonance Theory for Online Active Semi-supervised Learning
In Unsupervised Learning 5
Taehyeong Kim · Injune Hwang · Hyundo Lee · Hyunseo Kim · Won-Seok Choi · Joseph Lim · Byoung-Tak Zhang
[ Paper ]
Spotlight
Thu Jul 22 07:20 PM -- 07:25 PM (PDT)
Towards Defending against Adversarial Examples via Attack-Invariant Features
In Adversarial Learning 4
Dawei Zhou · Tongliang Liu · Bo Han · Nannan Wang · Chunlei Peng · Xinbo Gao
[ Paper ]
Spotlight
Thu Jul 22 07:20 PM -- 07:25 PM (PDT)
Near-Optimal Entrywise Anomaly Detection for Low-Rank Matrices with Sub-Exponential Noise
In Unsupervised Learning 4
Vivek Farias · Andrew Li · Tianyi Peng
[ Paper ]
Spotlight
Thu Jul 22 07:20 PM -- 07:25 PM (PDT)
FILTRA: Rethinking Steerable CNN by Filter Transform
In Representation Learning 6
Bo Li · Qili Wang · Gim Hee Lee
[ Paper ]
Spotlight
Thu Jul 22 07:20 PM -- 07:25 PM (PDT)
DANCE: Enhancing saliency maps using decoys
In Security and Transparency
Yang Lu · Wenbo Guo · Xinyu Xing · William Stafford Noble
[ Paper ]
Spotlight
Thu Jul 22 07:20 PM -- 07:25 PM (PDT)
Two Heads are Better Than One: Hypergraph-Enhanced Graph Reasoning for Visual Event Ratiocination
In Multi-modal and Meta Learning
Wenbo Zheng · Lan Yan · Chao Gou · Fei-Yue Wang
[ Paper ]
Spotlight
Thu Jul 22 07:25 PM -- 07:30 PM (PDT)
Towards Certifying L-infinity Robustness using Neural Networks with L-inf-dist Neurons
In Adversarial Learning 4
Bohang Zhang · Tianle Cai · Zhou Lu · Di He · Liwei Wang
[ Paper ]
Spotlight
Thu Jul 22 07:25 PM -- 07:30 PM (PDT)
A Representation Learning Perspective on the Importance of Train-Validation Splitting in Meta-Learning
In Multi-modal and Meta Learning
Nikunj Umesh Saunshi · Arushi Gupta · Wei Hu
[ Paper ]
Spotlight
Thu Jul 22 07:25 PM -- 07:30 PM (PDT)
Machine Unlearning for Random Forests
In Privacy 5
Jonathan Brophy · Daniel Lowd
[ Paper ]
Spotlight
Thu Jul 22 07:25 PM -- 07:30 PM (PDT)
Blind Pareto Fairness and Subgroup Robustness
In Security and Transparency
Natalia Martinez Gil · Martin Bertran · Afroditi Papadaki · Miguel Rodrigues · Guillermo Sapiro
[ Paper ]
Spotlight
Thu Jul 22 07:25 PM -- 07:30 PM (PDT)
Fast Sketching of Polynomial Kernels of Polynomial Degree
In Unsupervised Learning 4
Zhao Song · David Woodruff · Zheng Yu · Lichen Zhang
[ Paper ]
Spotlight
Thu Jul 22 07:25 PM -- 07:30 PM (PDT)
One Pass Late Fusion Multi-view Clustering
In Unsupervised Learning 3
Xinwang Liu · Li Liu · Qing Liao · Siwei Wang · Yi Zhang · Wenxuan Tu · Chang Tang · Jiyuan Liu · En Zhu
[ Paper ]
Spotlight
Thu Jul 22 07:25 PM -- 07:30 PM (PDT)
Object Segmentation Without Labels with Large-Scale Generative Models
In Unsupervised Learning 5
Andrey Voynov · Stanislav Morozov · Artem Babenko
[ Paper ]
Spotlight
Thu Jul 22 07:25 PM -- 07:30 PM (PDT)
Link Prediction with Persistent Homology: An Interactive View
In Representation Learning 6
Zuoyu Yan · Tengfei Ma · Liangcai Gao · Zhi Tang · Chao Chen
[ Paper ]
Spotlight
Thu Jul 22 07:30 PM -- 07:35 PM (PDT)
Conjugate Energy-Based Models
In Representation Learning 6
Hao Wu · Babak Esmaeili · Michael Wick · Jean-Baptiste Tristan · Jan-Willem van de Meent
[ Paper ]
Spotlight
Thu Jul 22 07:30 PM -- 07:35 PM (PDT)
A Framework for Private Matrix Analysis in Sliding Window Model
In Privacy 5
Jalaj Upadhyay · Sarvagya Upadhyay
[ Paper ]
Spotlight
Thu Jul 22 07:30 PM -- 07:35 PM (PDT)
Finding k in Latent $k-$ polytope
In Unsupervised Learning 4
Chiranjib Bhattacharyya · Ravindran Kannan · Amit Kumar
[ Paper ]
Spotlight
Thu Jul 22 07:30 PM -- 07:35 PM (PDT)
Data-Free Knowledge Distillation for Heterogeneous Federated Learning
In Unsupervised Learning 3
Zhuangdi Zhu · Junyuan Hong · Jiayu Zhou
[ Paper ]
Spotlight
Thu Jul 22 07:30 PM -- 07:35 PM (PDT)
Uncovering the Connections Between Adversarial Transferability and Knowledge Transferability
In Adversarial Learning 4
Kaizhao Liang · Yibo Zhang · Boxin Wang · Zhuolin Yang · Sanmi Koyejo · Bo Li
[ Paper ]
Spotlight
Thu Jul 22 07:30 PM -- 07:35 PM (PDT)
Testing DNN-based Autonomous Driving Systems under Critical Environmental Conditions
In Security and Transparency
Zhong Li · Minxue Pan · Tian Zhang · Xuandong Li
[ Paper ]
Spotlight
Thu Jul 22 07:30 PM -- 07:35 PM (PDT)
Meta-Learning Bidirectional Update Rules
In Multi-modal and Meta Learning
Mark Sandler · Max Vladymyrov · Andrey Zhmoginov · Nolan Miller · Tom Madams · Andrew Jackson · Blaise Agüera y Arcas
[ Paper ]
Spotlight
Thu Jul 22 07:30 PM -- 07:35 PM (PDT)
SinIR: Efficient General Image Manipulation with Single Image Reconstruction
In Unsupervised Learning 5
Jihyeong Yoo · Qifeng Chen
[ Paper ]
Spotlight
Thu Jul 22 07:35 PM -- 07:40 PM (PDT)
Sharper Generalization Bounds for Clustering
In Unsupervised Learning 3
Shaojie Li · Yong Liu
[ Paper ]
Spotlight
Thu Jul 22 07:35 PM -- 07:40 PM (PDT)
HoroPCA: Hyperbolic Dimensionality Reduction via Horospherical Projections
In Unsupervised Learning 4
Ines Chami · Albert Gu · Dat P Nguyen · Christopher Re
[ Paper ]
Spotlight
Thu Jul 22 07:35 PM -- 07:40 PM (PDT)
Function Contrastive Learning of Transferable Meta-Representations
In Multi-modal and Meta Learning
Muhammad Waleed Gondal · Shruti Joshi · Nasim Rahaman · Stefan Bauer · Manuel Wuthrich · Bernhard Schölkopf
[ Paper ]
Spotlight
Thu Jul 22 07:35 PM -- 07:40 PM (PDT)
Improving Gradient Regularization using Complex-Valued Neural Networks
In Adversarial Learning 4
Eric Yeats · Yiran Chen · Hai Li
[ Paper ]
Spotlight
Thu Jul 22 07:35 PM -- 07:40 PM (PDT)
GBHT: Gradient Boosting Histogram Transform for Density Estimation
In Unsupervised Learning 5
Jingyi Cui · Hanyuan Hang · Yisen Wang · Zhouchen Lin
[ Paper ]
Spotlight
Thu Jul 22 07:35 PM -- 07:40 PM (PDT)
The Distributed Discrete Gaussian Mechanism for Federated Learning with Secure Aggregation
In Privacy 5
Peter Kairouz · Ziyu Liu · Thomas Steinke
[ Paper ]
Spotlight
Thu Jul 22 07:35 PM -- 07:40 PM (PDT)
On the Problem of Underranking in Group-Fair Ranking
In Security and Transparency
Sruthi Gorantla · Amit Jayant Deshpande · Anand Louis
[ Paper ]
Spotlight
Thu Jul 22 07:35 PM -- 07:40 PM (PDT)
Implicit-PDF: Non-Parametric Representation of Probability Distributions on the Rotation Manifold
In Representation Learning 6
Kieran Murphy · Carlos Esteves · Varun Jampani · Srikumar Ramalingam · Ameesh Makadia
[ Paper ]
Spotlight
Thu Jul 22 07:40 PM -- 07:45 PM (PDT)
Streaming and Distributed Algorithms for Robust Column Subset Selection
In Unsupervised Learning 4
Shuli Jiang · Dongyu Li · Irene Mengze Li · Arvind Mahankali · David Woodruff
[ Paper ]
Spotlight
Thu Jul 22 07:40 PM -- 07:45 PM (PDT)
Active Learning for Distributionally Robust Level-Set Estimation
In Unsupervised Learning 3
Yu Inatsu · Shogo Iwazaki · Ichiro Takeuchi
[ Paper ]
Spotlight
Thu Jul 22 07:40 PM -- 07:45 PM (PDT)
Double-Win Quant: Aggressively Winning Robustness of Quantized Deep Neural Networks via Random Precision Training and Inference
In Adversarial Learning 4
Yonggan Fu · Qixuan Yu · Meng Li · Vikas Chandra · Yingyan Lin
[ Paper ]
Spotlight
Thu Jul 22 07:40 PM -- 07:45 PM (PDT)
A Discriminative Technique for Multiple-Source Adaptation
In Multi-modal and Meta Learning
Corinna Cortes · Mehryar Mohri · Ananda Theertha Suresh · Ningshan Zhang
[ Paper ]
Spotlight
Thu Jul 22 07:40 PM -- 07:45 PM (PDT)
Prediction-Centric Learning of Independent Cascade Dynamics from Partial Observations
In Probabilistic Methods 6
Mateusz Wilinski · Andrey Lokhov
[ Paper ]
Spotlight
Thu Jul 22 07:40 PM -- 07:45 PM (PDT)
Equivariant Networks for Pixelized Spheres
In Representation Learning 6
Mehran Shakerinava · Siamak Ravanbakhsh
[ Paper ]
Spotlight
Thu Jul 22 07:40 PM -- 07:45 PM (PDT)
Privacy-Preserving Feature Selection with Secure Multiparty Computation
In Privacy 5
Xiling Li · Rafael Dowsley · Martine De Cock
[ Paper ]
Spotlight
Thu Jul 22 07:40 PM -- 07:45 PM (PDT)
Fused Acoustic and Text Encoding for Multimodal Bilingual Pretraining and Speech Translation
In Applications (NLP) 4
Renjie Zheng · Junkun Chen · Mingbo Ma · Liang Huang
[ Paper ]
Spotlight
Thu Jul 22 07:40 PM -- 07:45 PM (PDT)
Hierarchical Agglomerative Graph Clustering in Nearly-Linear Time
In Unsupervised Learning 5
Laxman Dhulipala · David Eisenstat · Jakub Łącki · Vahab Mirrokni · Jessica Shi
[ Paper ]
Spotlight
Thu Jul 22 07:40 PM -- 07:45 PM (PDT)
Testing Group Fairness via Optimal Transport Projections
In Security and Transparency
Nian Si · Karthyek Murthy · Jose Blanchet · Viet Anh Nguyen
[ Paper ]
Q&A
Thu Jul 22 07:45 PM -- 07:50 PM (PDT)
Q&A
In Privacy 5
Q&A
Thu Jul 22 07:45 PM -- 07:50 PM (PDT)
Q&A
In Unsupervised Learning 4
Q&A
Thu Jul 22 07:45 PM -- 07:50 PM (PDT)
Q&A
In Security and Transparency
Spotlight
Thu Jul 22 07:45 PM -- 07:50 PM (PDT)
Self-supervised and Supervised Joint Training for Resource-rich Machine Translation
In Applications (NLP) 4
Yong Cheng · Wei Wang · Lu Jiang · Wolfgang Macherey
[ Paper ]
Spotlight
Thu Jul 22 07:45 PM -- 07:50 PM (PDT)
Improving Ultrametrics Embeddings Through Coresets
In Unsupervised Learning 5
Vincent Cohen-Addad · Rémi de Joannis de Verclos · Guillaume Lagarde
[ Paper ]
Spotlight
Thu Jul 22 07:45 PM -- 07:50 PM (PDT)
Dual Principal Component Pursuit for Robust Subspace Learning: Theory and Algorithms for a Holistic Approach
In Unsupervised Learning 3
Tianyu Ding · Zhihui Zhu · Rene Vidal · Daniel Robinson
[ Paper ]
Spotlight
Thu Jul 22 07:45 PM -- 07:50 PM (PDT)
Progressive-Scale Boundary Blackbox Attack via Projective Gradient Estimation
In Adversarial Learning 4
Jiawei Zhang · Linyi Li · Huichen Li · Xiaolu Zhang · Shuang Yang · Bo Li
[ Paper ]
Spotlight
Thu Jul 22 07:45 PM -- 07:50 PM (PDT)
Marginalized Stochastic Natural Gradients for Black-Box Variational Inference
In Probabilistic Methods 6
Geng Ji · Debora Sujono · Erik Sudderth
[ Paper ]
Spotlight
Thu Jul 22 07:45 PM -- 07:50 PM (PDT)
Efficient Statistical Tests: A Neural Tangent Kernel Approach
In Representation Learning 6
Sheng Jia · Ehsan Nezhadarya · Yuhuai Wu · Jimmy Ba
[ Paper ]
Spotlight
Thu Jul 22 07:45 PM -- 07:50 PM (PDT)
Debiasing Model Updates for Improving Personalized Federated Training
In Multi-modal and Meta Learning
Durmus Alp Emre Acar · Yue Zhao · Ruizhao Zhu · Ramon Matas · Matthew Mattina · Paul Whatmough · Venkatesh Saligrama
[ Paper ]
Q&A
Thu Jul 22 07:50 PM -- 07:55 PM (PDT)
Q&A
In Applications (NLP) 4
Q&A
Thu Jul 22 07:50 PM -- 07:55 PM (PDT)
Q&A
In Multi-modal and Meta Learning
Q&A
Thu Jul 22 07:50 PM -- 07:55 PM (PDT)
Q&A
In Representation Learning 6
Q&A
Thu Jul 22 07:50 PM -- 07:55 PM (PDT)
Q&A
In Adversarial Learning 4
Q&A
Thu Jul 22 07:50 PM -- 07:55 PM (PDT)
Q&A
In Probabilistic Methods 6
Q&A
Thu Jul 22 07:50 PM -- 07:55 PM (PDT)
Q&A
In Unsupervised Learning 3
Q&A
Thu Jul 22 07:50 PM -- 07:55 PM (PDT)
Q&A
In Unsupervised Learning 5
Test Of Time
Thu Jul 22 08:00 PM -- 08:30 PM (PDT)
Bayesian Learning via Stochastic Gradient Langevin Dynamics
Yee Teh · Max Welling
Spotlight
Thu Jul 22 08:30 PM -- 08:35 PM (PDT)
On Lower Bounds for Standard and Robust Gaussian Process Bandit Optimization
In Bandits 5
Xu Cai · Jonathan Scarlett
[ Paper ]
Spotlight
Thu Jul 22 08:30 PM -- 08:35 PM (PDT)
Discretization Drift in Two-Player Games
In Deep Learning 3
Mihaela Rosca · Yan Wu · Benoit Dherin · David GT Barrett
[ Paper ]
Spotlight
Thu Jul 22 08:30 PM -- 08:35 PM (PDT)
Conditional Temporal Neural Processes with Covariance Loss
In Optimization 5
Boseon Yoo · Jiwoo Lee · Janghoon Ju · Seijun Chung · Soyeon Kim · Jaesik Choi
[ Paper ]
Spotlight
Thu Jul 22 08:30 PM -- 08:35 PM (PDT)
Decentralized Riemannian Gradient Descent on the Stiefel Manifold
In Optimization 6
Shixiang Chen · Alfredo Garcia · Mingyi Hong · Shahin Shahrampour
[ Paper ]
Spotlight
Thu Jul 22 08:30 PM -- 08:35 PM (PDT)
Learning Self-Modulating Attention in Continuous Time Space with Applications to Sequential Recommendation
In Algorithms 5
Chao Chen · Haoyu Geng · Nianzu Yang · Junchi Yan · Daiyue Xue · Jianping Yu · Xiaokang Yang
[ Paper ]
Spotlight
Thu Jul 22 08:30 PM -- 08:35 PM (PDT)
BANG: Bridging Autoregressive and Non-autoregressive Generation with Large Scale Pretraining
In Applications (NLP) 5
Weizhen Qi · Yeyun Gong · Jian Jiao · Yu Yan · Weizhu Chen · Dayiheng Liu · Kewen Tang · Houqiang Li · Jiusheng Chen · Ruofei Zhang · Ming Zhou · Nan Duan
[ Paper ]
Spotlight
Thu Jul 22 08:30 PM -- 08:35 PM (PDT)
A Proxy Variable View of Shared Confounding
In Causal Learning
Yixin Wang · David Blei
[ Paper ]
Spotlight
Thu Jul 22 08:30 PM -- 08:35 PM (PDT)
T-SCI: A Two-Stage Conformal Inference Algorithm with Guaranteed Coverage for Cox-MLP
In Applications 4
Jiaye Teng · Zeren Tan · Yang Yuan
[ Paper ]
Spotlight
Thu Jul 22 08:30 PM -- 08:35 PM (PDT)
Lenient Regret and Good-Action Identification in Gaussian Process Bandits
In Gaussian Processes 2
Xu Cai · Selwyn Gomes · Jonathan Scarlett
[ Paper ]
Spotlight
Thu Jul 22 08:30 PM -- 08:35 PM (PDT)
Learning Online Algorithms with Distributional Advice
In Online Learning 3
Ilias Diakonikolas · Vasilis Kontonis · Christos Tzamos · Ali Vakilian · Nikos Zarifis
[ Paper ]
Spotlight
Thu Jul 22 08:35 PM -- 08:40 PM (PDT)
Elementary superexpressive activations
In Deep Learning 3
Dmitry Yarotsky
[ Paper ]
Spotlight
Thu Jul 22 08:35 PM -- 08:40 PM (PDT)
Boosting for Online Convex Optimization
In Online Learning 3
Elad Hazan · Karan Singh
[ Paper ]
Spotlight
Thu Jul 22 08:35 PM -- 08:40 PM (PDT)
Self-Improved Retrosynthetic Planning
In Applications 4
Junsu Kim · Sungsoo Ahn · Hankook Lee · Jinwoo Shin
[ Paper ]
Spotlight
Thu Jul 22 08:35 PM -- 08:40 PM (PDT)
Meta-Cal: Well-controlled Post-hoc Calibration by Ranking
In Algorithms 5
Xingchen Ma · Matthew B Blaschko
[ Paper ]
Spotlight
Thu Jul 22 08:35 PM -- 08:40 PM (PDT)
Optimal Thompson Sampling strategies for support-aware CVaR bandits
In Bandits 5
Dorian Baudry · Romain Gautron · Emilie Kaufmann · Odalric-Ambrym Maillard
[ Paper ]
Spotlight
Thu Jul 22 08:35 PM -- 08:40 PM (PDT)
Reasoning Over Virtual Knowledge Bases With Open Predicate Relations
In Applications (NLP) 5
Haitian Sun · Patrick Verga · Bhuwan Dhingra · Ruslan Salakhutdinov · William Cohen
[ Paper ]
Spotlight
Thu Jul 22 08:35 PM -- 08:40 PM (PDT)
ADOM: Accelerated Decentralized Optimization Method for Time-Varying Networks
In Optimization 6
Dmitry Kovalev · Egor Shulgin · Peter Richtarik · Alexander Rogozin · Alexander Gasnikov
[ Paper ]
Spotlight
Thu Jul 22 08:35 PM -- 08:40 PM (PDT)
Fast margin maximization via dual acceleration
In Optimization 5
Ziwei Ji · Nati Srebro · Matus Telgarsky
[ Paper ]
Spotlight
Thu Jul 22 08:35 PM -- 08:40 PM (PDT)
Budgeted Heterogeneous Treatment Effect Estimation
In Causal Learning
Tian Qin · Tian-Zuo Wang · Zhi-Hua Zhou
[ Paper ]
Spotlight
Thu Jul 22 08:35 PM -- 08:40 PM (PDT)
Equivariant Learning of Stochastic Fields: Gaussian Processes and Steerable Conditional Neural Processes
In Gaussian Processes 2
Peter Holderrieth · Michael Hutchinson · Yee-Whye Teh
[ Paper ]
Spotlight
Thu Jul 22 08:40 PM -- 08:45 PM (PDT)
Regularizing towards Causal Invariance: Linear Models with Proxies
In Deep Learning 3
Michael Oberst · Nikolaj Thams · Jonas Peters · David Sontag
[ Paper ]
Spotlight
Thu Jul 22 08:40 PM -- 08:45 PM (PDT)
A Structured Observation Distribution for Generative Biological Sequence Prediction and Forecasting
In Applications 4
Eli N. Weinstein · Debora Marks
[ Paper ]
Spotlight
Thu Jul 22 08:40 PM -- 08:45 PM (PDT)
Online Learning with Optimism and Delay
In Online Learning 3
Genevieve Flaspohler · Francesco Orabona · Judah Cohen · Soukayna Mouatadid · Miruna Oprescu · Paulo Orenstein · Lester Mackey
[ Paper ]
Spotlight
Thu Jul 22 08:40 PM -- 08:45 PM (PDT)
On Limited-Memory Subsampling Strategies for Bandits
In Bandits 5
Dorian Baudry · Yoan Russac · Olivier Cappé
[ Paper ]
Spotlight
Thu Jul 22 08:40 PM -- 08:45 PM (PDT)
ASAM: Adaptive Sharpness-Aware Minimization for Scale-Invariant Learning of Deep Neural Networks
In Optimization 5
Jungmin Kwon · Jeongseop Kim · Hyunseo Park · In Kwon Choi
[ Paper ]
Spotlight
Thu Jul 22 08:40 PM -- 08:45 PM (PDT)
Permutation Weighting
In Causal Learning
David Arbour · Drew Dimmery · Arjun Sondhi
[ Paper ]
Spotlight
Thu Jul 22 08:40 PM -- 08:45 PM (PDT)
Recovering AES Keys with a Deep Cold Boot Attack
In Applications (NLP) 5
Itamar Zimerman · Eliya Nachmani · Lior Wolf
[ Paper ]
Spotlight
Thu Jul 22 08:40 PM -- 08:45 PM (PDT)
Towards Open-World Recommendation: An Inductive Model-based Collaborative Filtering Approach
In Algorithms 5
Qitian Wu · Hengrui Zhang · Xiaofeng Gao · Junchi Yan · Hongyuan Zha
[ Paper ]
Spotlight
Thu Jul 22 08:40 PM -- 08:45 PM (PDT)
Value-at-Risk Optimization with Gaussian Processes
In Gaussian Processes 2
Quoc Phong Nguyen · Zhongxiang Dai · Bryan Kian Hsiang Low · Patrick Jaillet
[ Paper ]
Spotlight
Thu Jul 22 08:40 PM -- 08:45 PM (PDT)
A Second look at Exponential and Cosine Step Sizes: Simplicity, Adaptivity, and Performance
In Optimization 6
Xiaoyu Li · Zhenxun Zhuang · Francesco Orabona
[ Paper ]
Spotlight
Thu Jul 22 08:45 PM -- 08:50 PM (PDT)
Valid Causal Inference with (Some) Invalid Instruments
In Causal Learning
Jason Hartford · Victor Veitch · Dhanya Sridhar · Kevin Leyton-Brown
[ Paper ]
Spotlight
Thu Jul 22 08:45 PM -- 08:50 PM (PDT)
Overcoming Catastrophic Forgetting by Bayesian Generative Regularization
In Applications (NLP) 5
PEI-HUNG Chen · Wei Wei · Cho-Jui Hsieh · Bo Dai
[ Paper ]
Spotlight
Thu Jul 22 08:45 PM -- 08:50 PM (PDT)
Problem Dependent View on Structured Thresholding Bandit Problems
In Bandits 5
James Cheshire · Pierre Menard · Alexandra Carpentier
[ Paper ]
Spotlight
Thu Jul 22 08:45 PM -- 08:50 PM (PDT)
High-Dimensional Gaussian Process Inference with Derivatives
In Gaussian Processes 2
Filip de Roos · Alexandra Gessner · Philipp Hennig
[ Paper ]
Spotlight
Thu Jul 22 08:45 PM -- 08:50 PM (PDT)
A Language for Counterfactual Generative Models
In Deep Learning 3
Zenna Tavares · James Koppel · Xin Zhang · Ria Das · Armando Solar-Lezama
[ Paper ]
Spotlight
Thu Jul 22 08:45 PM -- 08:50 PM (PDT)
CURI: A Benchmark for Productive Concept Learning Under Uncertainty
In Applications 4
Shanmukha Ramakrishna Vedantam · Arthur Szlam · Maximilian Nickel · Ari Morcos · Brenden Lake
[ Paper ]
Spotlight
Thu Jul 22 08:45 PM -- 08:50 PM (PDT)
Smooth $p$-Wasserstein Distance: Structure, Empirical Approximation, and Statistical Applications
In Algorithms 5
Sloan Nietert · Ziv Goldfeld · Kengo Kato
[ Paper ]
Spotlight
Thu Jul 22 08:45 PM -- 08:50 PM (PDT)
Learner-Private Convex Optimization
In Online Learning 3
Jiaming Xu · Kuang Xu · Dana Yang
[ Paper ]
Spotlight
Thu Jul 22 08:45 PM -- 08:50 PM (PDT)
Diffusion Earth Mover's Distance and Distribution Embeddings
In Optimization 5
Alexander Tong · Guillaume Huguet · Amine Natik · Kincaid Macdonald · MANIK KUCHROO · Ronald Coifman · Guy Wolf · Smita Krishnaswamy
[ Paper ]
Spotlight
Thu Jul 22 08:45 PM -- 08:50 PM (PDT)
A Value-Function-based Interior-point Method for Non-convex Bi-level Optimization
In Optimization 6
Risheng Liu · Xuan Liu · Xiaoming Yuan · Shangzhi Zeng · Jin Zhang
[ Paper ]
Q&A
Thu Jul 22 08:50 PM -- 08:55 PM (PDT)
Q&A
In Online Learning 3
Spotlight
Thu Jul 22 08:50 PM -- 08:55 PM (PDT)
Operationalizing Complex Causes: A Pragmatic View of Mediation
In Causal Learning
Limor Gultchin · David Watson · Matt J. Kusner · Ricardo Silva
[ Paper ]
Spotlight
Thu Jul 22 08:50 PM -- 08:55 PM (PDT)
Locally Adaptive Label Smoothing Improves Predictive Churn
In Algorithms 5
Dara Bahri · Heinrich Jiang
[ Paper ]
Spotlight
Thu Jul 22 08:50 PM -- 08:55 PM (PDT)
Leveraging Good Representations in Linear Contextual Bandits
In Bandits 5
Matteo Papini · Andrea Tirinzoni · Marcello Restelli · Alessandro Lazaric · Matteo Pirotta
[ Paper ]
Spotlight
Thu Jul 22 08:50 PM -- 08:55 PM (PDT)
CIFS: Improving Adversarial Robustness of CNNs via Channel-wise Importance-based Feature Selection
In Applications 4
Hanshu YAN · Jingfeng Zhang · Gang Niu · Jiashi Feng · Vincent Tan · Masashi Sugiyama
[ Paper ]
Spotlight
Thu Jul 22 08:50 PM -- 08:55 PM (PDT)
How rotational invariance of common kernels prevents generalization in high dimensions
In Deep Learning 3
Konstantin Donhauser · Mingqi Wu · Fanny Yang
[ Paper ]
Spotlight
Thu Jul 22 08:50 PM -- 08:55 PM (PDT)
Bayesian Structural Adaptation for Continual Learning
In Applications (NLP) 5
Abhishek Kumar · Sunabha Chatterjee · Piyush Rai
[ Paper ]
Spotlight
Thu Jul 22 08:50 PM -- 08:55 PM (PDT)
Learn2Hop: Learned Optimization on Rough Landscapes
In Optimization 5
Amil Merchant · Luke Metz · Samuel Schoenholz · Ekin Dogus Cubuk
[ Paper ]
Spotlight
Thu Jul 22 08:50 PM -- 08:55 PM (PDT)
GP-Tree: A Gaussian Process Classifier for Few-Shot Incremental Learning
In Gaussian Processes 2
Idan Achituve · Aviv Navon · Yochai Yemini · Gal Chechik · Ethan Fetaya
[ Paper ]
Spotlight
Thu Jul 22 08:50 PM -- 08:55 PM (PDT)
Accelerating Gossip SGD with Periodic Global Averaging
In Optimization 6
Yiming Chen · Kun Yuan · Yingya Zhang · Pan Pan · Yinghui Xu · Wotao Yin
[ Paper ]
Q&A
Thu Jul 22 08:55 PM -- 09:00 PM (PDT)
Q&A
In Bandits 5
Q&A
Thu Jul 22 08:55 PM -- 09:00 PM (PDT)
Q&A
In Deep Learning 3
Q&A
Thu Jul 22 08:55 PM -- 09:00 PM (PDT)
Q&A
In Applications 4
Q&A
Thu Jul 22 08:55 PM -- 09:00 PM (PDT)
Q&A
In Algorithms 5
Q&A
Thu Jul 22 08:55 PM -- 09:00 PM (PDT)
Q&A
In Optimization 6
Q&A
Thu Jul 22 08:55 PM -- 09:00 PM (PDT)
Q&A
In Gaussian Processes 2
Q&A
Thu Jul 22 08:55 PM -- 09:00 PM (PDT)
Q&A
In Applications (NLP) 5
Q&A
Thu Jul 22 08:55 PM -- 09:00 PM (PDT)
Q&A
In Causal Learning
Q&A
Thu Jul 22 08:55 PM -- 09:00 PM (PDT)
Q&A
In Optimization 5
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Optimal Non-Convex Exact Recovery in Stochastic Block Model via Projected Power Method
In Poster Session 6
Peng Wang · Huikang Liu · Zirui Zhou · Anthony Man-Cho So
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Global Prosody Style Transfer Without Text Transcriptions
In Poster Session 6
Kaizhi Qian · Yang Zhang · Shiyu Chang · Jinjun Xiong · Chuang Gan · David Cox · Mark Hasegawa-Johnson
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Neighborhood Contrastive Learning Applied to Online Patient Monitoring
In Poster Session 6
Hugo Yèche · Gideon Dresdner · Francesco Locatello · Matthias Hüser · Gunnar Rätsch
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Policy Caches with Successor Features
In Poster Session 6
Mark Nemecek · Ron Parr
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Overcoming Catastrophic Forgetting by Bayesian Generative Regularization
In Poster Session 6
PEI-HUNG Chen · Wei Wei · Cho-Jui Hsieh · Bo Dai
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Lenient Regret and Good-Action Identification in Gaussian Process Bandits
In Poster Session 6
Xu Cai · Selwyn Gomes · Jonathan Scarlett
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Fixed-Parameter and Approximation Algorithms for PCA with Outliers
In Poster Session 6
Yogesh Dahiya · Fedor Fomin · Fahad Panolan · Kirill Simonov
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
BASE Layers: Simplifying Training of Large, Sparse Models
In Poster Session 6
Mike Lewis · Shruti Bhosale · Tim Dettmers · Naman Goyal · Luke Zettlemoyer
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Leveraging Public Data for Practical Private Query Release
In Poster Session 6
Terrance Liu · Giuseppe Vietri · Thomas Steinke · Jonathan Ullman · Steven Wu
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
EfficientTTS: An Efficient and High-Quality Text-to-Speech Architecture
In Poster Session 6
Chenfeng Miao · Liang Shuang · Zhengchen Liu · Chen Minchuan · Jun Ma · Shaojun Wang · Jing Xiao
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
CRFL: Certifiably Robust Federated Learning against Backdoor Attacks
In Poster Session 6
Chulin Xie · Minghao Chen · Pin-Yu Chen · Bo Li
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Efficient Iterative Amortized Inference for Learning Symmetric and Disentangled Multi-Object Representations
In Poster Session 6
Patrick Emami · Pan He · Sanjay Ranka · Anand Rangarajan
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Provable Lipschitz Certification for Generative Models
In Poster Session 6
Matt Jordan · Alexandros Dimakis
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
A Proxy Variable View of Shared Confounding
In Poster Session 6
Yixin Wang · David Blei
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
A Zeroth-Order Block Coordinate Descent Algorithm for Huge-Scale Black-Box Optimization
In Poster Session 6
HanQin Cai · Yuchen Lou · Daniel Mckenzie · Wotao Yin
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Learn2Hop: Learned Optimization on Rough Landscapes
In Poster Session 6
Amil Merchant · Luke Metz · Samuel Schoenholz · Ekin Dogus Cubuk
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Conditional Temporal Neural Processes with Covariance Loss
In Poster Session 6
Boseon Yoo · Jiwoo Lee · Janghoon Ju · Seijun Chung · Soyeon Kim · Jaesik Choi
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
A Scalable Deterministic Global Optimization Algorithm for Clustering Problems
In Poster Session 6
Kaixun Hua · Mingfei Shi · Yankai Cao
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Uncovering the Connections Between Adversarial Transferability and Knowledge Transferability
In Poster Session 6
Kaizhao Liang · Yibo Zhang · Boxin Wang · Zhuolin Yang · Sanmi Koyejo · Bo Li
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Learning Self-Modulating Attention in Continuous Time Space with Applications to Sequential Recommendation
In Poster Session 6
Chao Chen · Haoyu Geng · Nianzu Yang · Junchi Yan · Daiyue Xue · Jianping Yu · Xiaokang Yang
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
GP-Tree: A Gaussian Process Classifier for Few-Shot Incremental Learning
In Poster Session 6
Idan Achituve · Aviv Navon · Yochai Yemini · Gal Chechik · Ethan Fetaya
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
BANG: Bridging Autoregressive and Non-autoregressive Generation with Large Scale Pretraining
In Poster Session 6
Weizhen Qi · Yeyun Gong · Jian Jiao · Yu Yan · Weizhu Chen · Dayiheng Liu · Kewen Tang · Houqiang Li · Jiusheng Chen · Ruofei Zhang · Ming Zhou · Nan Duan
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Black-box density function estimation using recursive partitioning
In Poster Session 6
Erik Bodin · Zhenwen Dai · Neill Campbell · Carl Henrik Ek
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Straight to the Gradient: Learning to Use Novel Tokens for Neural Text Generation
In Poster Session 6
Xiang Lin · Simeng Han · Shafiq Joty
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
PopSkipJump: Decision-Based Attack for Probabilistic Classifiers
In Poster Session 6
Carl-Johann Simon-Gabriel · Noman Ahmed Sheikh · Andreas Krause
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Equivariant Networks for Pixelized Spheres
In Poster Session 6
Mehran Shakerinava · Siamak Ravanbakhsh
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Link Prediction with Persistent Homology: An Interactive View
In Poster Session 6
Zuoyu Yan · Tengfei Ma · Liangcai Gao · Zhi Tang · Chao Chen
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Fast Sketching of Polynomial Kernels of Polynomial Degree
In Poster Session 6
Zhao Song · David Woodruff · Zheng Yu · Lichen Zhang
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Monte Carlo Variational Auto-Encoders
In Poster Session 6
Achille Thin · Nikita Kotelevskii · Arnaud Doucet · Alain Durmus · Eric Moulines · Maxim Panov
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Automatic variational inference with cascading flows
In Poster Session 6
Luca Ambrogioni · Gianluigi Silvestri · Marcel van Gerven
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Conjugate Energy-Based Models
In Poster Session 6
Hao Wu · Babak Esmaeili · Michael Wick · Jean-Baptiste Tristan · Jan-Willem van de Meent
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Structured World Belief for Reinforcement Learning in POMDP
In Poster Session 6
Gautam Singh · Skand Peri · Junghyun Kim · Hyunseok Kim · Sungjin Ahn
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Two Heads are Better Than One: Hypergraph-Enhanced Graph Reasoning for Visual Event Ratiocination
In Poster Session 6
Wenbo Zheng · Lan Yan · Chao Gou · Fei-Yue Wang
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
KD3A: Unsupervised Multi-Source Decentralized Domain Adaptation via Knowledge Distillation
In Poster Session 6
Haozhe Feng · Zhaoyang You · Minghao Chen · Tianye Zhang · Minfeng Zhu · Fei Wu · Chao Wu · Wei Chen
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
One Pass Late Fusion Multi-view Clustering
In Poster Session 6
Xinwang Liu · Li Liu · Qing Liao · Siwei Wang · Yi Zhang · Wenxuan Tu · Chang Tang · Jiyuan Liu · En Zhu
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Blind Pareto Fairness and Subgroup Robustness
In Poster Session 6
Natalia Martinez Gil · Martin Bertran · Afroditi Papadaki · Miguel Rodrigues · Guillermo Sapiro
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Online Learning with Optimism and Delay
In Poster Session 6
Genevieve Flaspohler · Francesco Orabona · Judah Cohen · Soukayna Mouatadid · Miruna Oprescu · Paulo Orenstein · Lester Mackey
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
A Framework for Private Matrix Analysis in Sliding Window Model
In Poster Session 6
Jalaj Upadhyay · Sarvagya Upadhyay
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Neural Pharmacodynamic State Space Modeling
In Poster Session 6
Zeshan Hussain · Rahul G. Krishnan · David Sontag
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Accelerating Gossip SGD with Periodic Global Averaging
In Poster Session 6
Yiming Chen · Kun Yuan · Yingya Zhang · Pan Pan · Yinghui Xu · Wotao Yin
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Large-Scale Meta-Learning with Continual Trajectory Shifting
In Poster Session 6
JaeWoong Shin · Hae Beom Lee · Boqing Gong · Sung Ju Hwang
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Order-Agnostic Cross Entropy for Non-Autoregressive Machine Translation
In Poster Session 6
Cunxiao Du · Zhaopeng Tu · Jing Jiang
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
SGA: A Robust Algorithm for Partial Recovery of Tree-Structured Graphical Models with Noisy Samples
In Poster Session 6
Anshoo Tandon · Aldric Han · Vincent Tan
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Single Pass Entrywise-Transformed Low Rank Approximation
In Poster Session 6
Yifei Jiang · Yi Li · Yiming Sun · Jiaxin Wang · David Woodruff
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Unsupervised Representation Learning via Neural Activation Coding
In Poster Session 6
Yookoon Park · Sangho Lee · Gunhee Kim · David Blei
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Commutative Lie Group VAE for Disentanglement Learning
In Poster Session 6
Xinqi Zhu · Chang Xu · Dacheng Tao
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Which transformer architecture fits my data? A vocabulary bottleneck in self-attention
In Poster Session 6
Noam Wies · Yoav Levine · Daniel Jannai · Amnon Shashua
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Towards Understanding and Mitigating Social Biases in Language Models
In Poster Session 6
Paul Liang · Chiyu Wu · Louis-Philippe Morency · Ruslan Salakhutdinov
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Graph Neural Networks Inspired by Classical Iterative Algorithms
In Poster Session 6
Yang Yongyi · Tang Liu · Yangkun Wang · Jinjing Zhou · Quan Gan · Zhewei Wei · Zheng Zhang · Zengfeng Huang · David Wipf
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Decentralized Single-Timescale Actor-Critic on Zero-Sum Two-Player Stochastic Games
In Poster Session 6
Hongyi Guo · Zuyue Fu · Zhuoran Yang · Zhaoran Wang
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Neural Tangent Generalization Attacks
In Poster Session 6
Chia-Hung Yuan · Shan-Hung (Brandon) Wu
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Sharper Generalization Bounds for Clustering
In Poster Session 6
Shaojie Li · Yong Liu
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Projection techniques to update the truncated SVD of evolving matrices with applications
In Poster Session 6
Vasileios Kalantzis · Georgios Kollias · Shashanka Ubaru · Athanasios N. Nikolakopoulos · Lior Horesh · Kenneth Clarkson
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Towards Open-World Recommendation: An Inductive Model-based Collaborative Filtering Approach
In Poster Session 6
Qitian Wu · Hengrui Zhang · Xiaofeng Gao · Junchi Yan · Hongyuan Zha
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Provably End-to-end Label-noise Learning without Anchor Points
In Poster Session 6
Xuefeng Li · Tongliang Liu · Bo Han · Gang Niu · Masashi Sugiyama
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Elementary superexpressive activations
In Poster Session 6
Dmitry Yarotsky
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Leveraged Weighted Loss for Partial Label Learning
In Poster Session 6
Hongwei Wen · Jingyi Cui · Hanyuan Hang · Jiabin Liu · Yisen Wang · Zhouchen Lin
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
REPAINT: Knowledge Transfer in Deep Reinforcement Learning
In Poster Session 6
Yunzhe Tao · Sahika Genc · Jonathan Chung · TAO SUN · Sunil Mallya
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Large Scale Private Learning via Low-rank Reparametrization
In Poster Session 6
Da Yu · Huishuai Zhang · Wei Chen · Jian Yin · Tie-Yan Liu
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
WILDS: A Benchmark of in-the-Wild Distribution Shifts
In Poster Session 6
Pang Wei Koh · Shiori Sagawa · Henrik Marklund · Sang Michael Xie · Marvin Zhang · Akshay Balsubramani · Weihua Hu · Michihiro Yasunaga · Richard Lanas Phillips · Irena Gao · Tony Lee · Etienne David · Ian Stavness · Wei Guo · Berton Earnshaw · Imran Haque · Sara Beery · Jure Leskovec · Anshul Kundaje · Emma Pierson · Sergey Levine · Chelsea Finn · Percy Liang
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Marginalized Stochastic Natural Gradients for Black-Box Variational Inference
In Poster Session 6
Geng Ji · Debora Sujono · Erik Sudderth
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
CountSketches, Feature Hashing and the Median of Three
In Poster Session 6
Kasper Green Larsen · Rasmus Pagh · Jakub Tětek
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Regularizing towards Causal Invariance: Linear Models with Proxies
In Poster Session 6
Michael Oberst · Nikolaj Thams · Jonas Peters · David Sontag
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
FILTRA: Rethinking Steerable CNN by Filter Transform
In Poster Session 6
Bo Li · Qili Wang · Gim Hee Lee
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
MorphVAE: Generating Neural Morphologies from 3D-Walks using a Variational Autoencoder with Spherical Latent Space
In Poster Session 6
Sophie Laturnus · Philipp Berens
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Gradient Disaggregation: Breaking Privacy in Federated Learning by Reconstructing the User Participant Matrix
In Poster Session 6
Maximilian Lam · Gu-Yeon Wei · David Brooks · Vijay Janapa Reddi · Michael Mitzenmacher
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Globally-Robust Neural Networks
In Poster Session 6
Klas Leino · Zifan Wang · Matt Fredrikson
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Data-Free Knowledge Distillation for Heterogeneous Federated Learning
In Poster Session 6
Zhuangdi Zhu · Junyuan Hong · Jiayu Zhou
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Crystallization Learning with the Delaunay Triangulation
In Poster Session 6
Jiaqi Gu · Guosheng Yin
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Graph Cuts Always Find a Global Optimum for Potts Models (With a Catch)
In Poster Session 6
Hunter Lang · David Sontag · Aravindan Vijayaraghavan
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Near-Optimal Entrywise Anomaly Detection for Low-Rank Matrices with Sub-Exponential Noise
In Poster Session 6
Vivek Farias · Andrew Li · Tianyi Peng
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Integer Programming for Causal Structure Learning in the Presence of Latent Variables
In Poster Session 6
Rui Chen · Sanjeeb Dash · Tian Gao
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Learning Online Algorithms with Distributional Advice
In Poster Session 6
Ilias Diakonikolas · Vasilis Kontonis · Christos Tzamos · Ali Vakilian · Nikos Zarifis
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Mind the Box: $l_1$-APGD for Sparse Adversarial Attacks on Image Classifiers
In Poster Session 6
Francesco Croce · Matthias Hein
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Model Fusion for Personalized Learning
In Poster Session 6
Thanh Lam · Nghia Hoang · Bryan Kian Hsiang Low · Patrick Jaillet
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Label Inference Attacks from Log-loss Scores
In Poster Session 6
Abhinav Aggarwal · Shiva Kasiviswanathan · Zekun Xu · Oluwaseyi Feyisetan · Nathanael Teissier
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
On the Problem of Underranking in Group-Fair Ranking
In Poster Session 6
Sruthi Gorantla · Amit Jayant Deshpande · Anand Louis
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Explaining Time Series Predictions with Dynamic Masks
In Poster Session 6
Jonathan Crabbé · Mihaela van der Schaar
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Improving Ultrametrics Embeddings Through Coresets
In Poster Session 6
Vincent Cohen-Addad · Rémi de Joannis de Verclos · Guillaume Lagarde
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Learning de-identified representations of prosody from raw audio
In Poster Session 6
Jack Weston · Raphael Lenain · Udeepa Meepegama · Emil Fristed
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Value-at-Risk Optimization with Gaussian Processes
In Poster Session 6
Quoc Phong Nguyen · Zhongxiang Dai · Bryan Kian Hsiang Low · Patrick Jaillet
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
ADOM: Accelerated Decentralized Optimization Method for Time-Varying Networks
In Poster Session 6
Dmitry Kovalev · Egor Shulgin · Peter Richtarik · Alexander Rogozin · Alexander Gasnikov
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
A Structured Observation Distribution for Generative Biological Sequence Prediction and Forecasting
In Poster Session 6
Eli N. Weinstein · Debora Marks
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
How rotational invariance of common kernels prevents generalization in high dimensions
In Poster Session 6
Konstantin Donhauser · Mingqi Wu · Fanny Yang
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Efficient Online Learning for Dynamic k-Clustering
In Poster Session 6
Dimitris Fotakis · Georgios Piliouras · Stratis Skoulakis
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Locally Adaptive Label Smoothing Improves Predictive Churn
In Poster Session 6
Dara Bahri · Heinrich Jiang
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Diffusion Earth Mover's Distance and Distribution Embeddings
In Poster Session 6
Alexander Tong · Guillaume Huguet · Amine Natik · Kincaid Macdonald · MANIK KUCHROO · Ronald Coifman · Guy Wolf · Smita Krishnaswamy
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Solving high-dimensional parabolic PDEs using the tensor train format
In Poster Session 6
Lorenz Richter · Leon Sallandt · Nikolas Nüsken
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Correlation Clustering in Constant Many Parallel Rounds
In Poster Session 6
Vincent Cohen-Addad · Silvio Lattanzi · Slobodan Mitrović · Ashkan Norouzi-Fard · Nikos Parotsidis · Jakub Tarnawski
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
ASAM: Adaptive Sharpness-Aware Minimization for Scale-Invariant Learning of Deep Neural Networks
In Poster Session 6
Jungmin Kwon · Jeongseop Kim · Hyunseo Park · In Kwon Choi
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Optimal Counterfactual Explanations in Tree Ensembles
In Poster Session 6
Axel Parmentier · Thibaut Vidal
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
LogME: Practical Assessment of Pre-trained Models for Transfer Learning
In Poster Session 6
Kaichao You · Yong Liu · Jianmin Wang · Mingsheng Long
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Recovering AES Keys with a Deep Cold Boot Attack
In Poster Session 6
Itamar Zimerman · Eliya Nachmani · Lior Wolf
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Explanations for Monotonic Classifiers.
In Poster Session 6
Joao Marques-Silva · Thomas Gerspacher · Martin Cooper · Alexey Ignatiev · Nina Narodytska
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Active Learning for Distributionally Robust Level-Set Estimation
In Poster Session 6
Yu Inatsu · Shogo Iwazaki · Ichiro Takeuchi
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
STRODE: Stochastic Boundary Ordinary Differential Equation
In Poster Session 6
Huang Hengguan · Hongfu Liu · Hao Wang · Chang Xiao · Ye Wang
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Testing Group Fairness via Optimal Transport Projections
In Poster Session 6
Nian Si · Karthyek Murthy · Jose Blanchet · Viet Anh Nguyen
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Double-Win Quant: Aggressively Winning Robustness of Quantized Deep Neural Networks via Random Precision Training and Inference
In Poster Session 6
Yonggan Fu · Qixuan Yu · Meng Li · Vikas Chandra · Yingyan Lin
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Offline Meta-Reinforcement Learning with Advantage Weighting
In Poster Session 6
Eric Mitchell · Rafael Rafailov · Xue Bin Peng · Sergey Levine · Chelsea Finn
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Exponential Reduction in Sample Complexity with Learning of Ising Model Dynamics
In Poster Session 6
Arkopal Dutt · Andrey Lokhov · Marc Vuffray · Sidhant Misra
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Lossless Compression of Efficient Private Local Randomizers
In Poster Session 6
Vitaly Feldman · Kunal Talwar
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Oneshot Differentially Private Top-k Selection
In Poster Session 6
Gang Qiao · Weijie Su · Li Zhang
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Object Segmentation Without Labels with Large-Scale Generative Models
In Poster Session 6
Andrey Voynov · Stanislav Morozov · Artem Babenko
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Exploiting Shared Representations for Personalized Federated Learning
In Poster Session 6
Liam Collins · Hamed Hassani · Aryan Mokhtari · Sanjay Shakkottai
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Problem Dependent View on Structured Thresholding Bandit Problems
In Poster Session 6
James Cheshire · Pierre Menard · Alexandra Carpentier
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Additive Error Guarantees for Weighted Low Rank Approximation
In Poster Session 6
Aditya Bhaskara · Aravinda Kanchana Ruwanpathirana · Pruthuvi Maheshakya Wijewardena
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Average-Reward Off-Policy Policy Evaluation with Function Approximation
In Poster Session 6
Shangtong Zhang · Yi Wan · Richard Sutton · Shimon Whiteson
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Towards Defending against Adversarial Examples via Attack-Invariant Features
In Poster Session 6
Dawei Zhou · Tongliang Liu · Bo Han · Nannan Wang · Chunlei Peng · Xinbo Gao
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Differentially Private Densest Subgraph Detection
In Poster Session 6
Dung Nguyen · Anil Vullikanti
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
On-the-fly Rectification for Robust Large-Vocabulary Topic Inference
In Poster Session 6
Moontae Lee · Sungjun Cho · Kun Dong · David Mimno · David Bindel
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Private Stochastic Convex Optimization: Optimal Rates in L1 Geometry
In Poster Session 6
Hilal Asi · Vitaly Feldman · Tomer Koren · Kunal Talwar
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Implicit-PDF: Non-Parametric Representation of Probability Distributions on the Rotation Manifold
In Poster Session 6
Kieran Murphy · Carlos Esteves · Varun Jampani · Srikumar Ramalingam · Ameesh Makadia
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
A Language for Counterfactual Generative Models
In Poster Session 6
Zenna Tavares · James Koppel · Xin Zhang · Ria Das · Armando Solar-Lezama
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Calibrate Before Use: Improving Few-shot Performance of Language Models
In Poster Session 6
Tony Z. Zhao · Eric Wallace · Shi Feng · Dan Klein · Sameer Singh
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Meta-Learning Bidirectional Update Rules
In Poster Session 6
Mark Sandler · Max Vladymyrov · Andrey Zhmoginov · Nolan Miller · Tom Madams · Andrew Jackson · Blaise Agüera y Arcas
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Differentially Private Aggregation in the Shuffle Model: Almost Central Accuracy in Almost a Single Message
In Poster Session 6
Badih Ghazi · Ravi Kumar · Pasin Manurangsi · Rasmus Pagh · Amer Sinha
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
GBHT: Gradient Boosting Histogram Transform for Density Estimation
In Poster Session 6
Jingyi Cui · Hanyuan Hang · Yisen Wang · Zhouchen Lin
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
SoundDet: Polyphonic Moving Sound Event Detection and Localization from Raw Waveform
In Poster Session 6
Yuhang He · Niki Trigoni · Andrew Markham
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Towards Certifying L-infinity Robustness using Neural Networks with L-inf-dist Neurons
In Poster Session 6
Bohang Zhang · Tianle Cai · Zhou Lu · Di He · Liwei Wang
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Learn-to-Share: A Hardware-friendly Transfer Learning Framework Exploiting Computation and Parameter Sharing
In Poster Session 6
Cheng Fu · Hanxian Huang · Xinyun Chen · Yuandong Tian · Jishen Zhao
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Dual Principal Component Pursuit for Robust Subspace Learning: Theory and Algorithms for a Holistic Approach
In Poster Session 6
Tianyu Ding · Zhihui Zhu · Rene Vidal · Daniel Robinson
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Group Fisher Pruning for Practical Network Compression
In Poster Session 6
Liyang Liu · Shilong Zhang · Zhanghui Kuang · Aojun Zhou · Jing-Hao Xue · Xinjiang Wang · Yimin Chen · Wenming Yang · Qingmin Liao · Wayne Zhang
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Generative Causal Explanations for Graph Neural Networks
In Poster Session 6
Wanyu Lin · Hao Lan · Baochun Li
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Unsupervised Part Representation by Flow Capsules
In Poster Session 6
Sara Sabour Rouh Aghdam · Andrea Tagliasacchi · Soroosh Yazdani · Geoffrey Hinton · David Fleet
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
On Lower Bounds for Standard and Robust Gaussian Process Bandit Optimization
In Poster Session 6
Xu Cai · Jonathan Scarlett
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Optimal Thompson Sampling strategies for support-aware CVaR bandits
In Poster Session 6
Dorian Baudry · Romain Gautron · Emilie Kaufmann · Odalric-Ambrym Maillard
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
On Limited-Memory Subsampling Strategies for Bandits
In Poster Session 6
Dorian Baudry · Yoan Russac · Olivier Cappé
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Operationalizing Complex Causes: A Pragmatic View of Mediation
In Poster Session 6
Limor Gultchin · David Watson · Matt J. Kusner · Ricardo Silva
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Streaming and Distributed Algorithms for Robust Column Subset Selection
In Poster Session 6
Shuli Jiang · Dongyu Li · Irene Mengze Li · Arvind Mahankali · David Woodruff
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Smooth $p$-Wasserstein Distance: Structure, Empirical Approximation, and Statistical Applications
In Poster Session 6
Sloan Nietert · Ziv Goldfeld · Kengo Kato
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Temporal Predictive Coding For Model-Based Planning In Latent Space
In Poster Session 6
Tung Nguyen · Rui Shu · Tuan Pham · Hung Bui · Stefano Ermon
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Learner-Private Convex Optimization
In Poster Session 6
Jiaming Xu · Kuang Xu · Dana Yang
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Bayesian Structural Adaptation for Continual Learning
In Poster Session 6
Abhishek Kumar · Sunabha Chatterjee · Piyush Rai
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Permutation Weighting
In Poster Session 6
David Arbour · Drew Dimmery · Arjun Sondhi
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Improving Generalization in Meta-learning via Task Augmentation
In Poster Session 6
Huaxiu Yao · Long-Kai Huang · Linjun Zhang · Ying WEI · Li Tian · James Zou · Junzhou Huang · Zhenhui (Jessie) Li
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
When Does Data Augmentation Help With Membership Inference Attacks?
In Poster Session 6
Yigitcan Kaya · Tudor Dumitras
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Message Passing Adaptive Resonance Theory for Online Active Semi-supervised Learning
In Poster Session 6
Taehyeong Kim · Injune Hwang · Hyundo Lee · Hyunseo Kim · Won-Seok Choi · Joseph Lim · Byoung-Tak Zhang
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Debiasing Model Updates for Improving Personalized Federated Training
In Poster Session 6
Durmus Alp Emre Acar · Yue Zhao · Ruizhao Zhu · Ramon Matas · Matthew Mattina · Paul Whatmough · Venkatesh Saligrama
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Few-shot Language Coordination by Modeling Theory of Mind
In Poster Session 6
Hao Zhu · Graham Neubig · Yonatan Bisk
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Integrated Defense for Resilient Graph Matching
In Poster Session 6
Jiaxiang Ren · Zijie Zhang · Jiayin Jin · Xin Zhao · Sixing Wu · Yang Zhou · Yelong Shen · Tianshi Che · Ruoming Jin · Dejing Dou
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Image-Level or Object-Level? A Tale of Two Resampling Strategies for Long-Tailed Detection
In Poster Session 6
Nadine Chang · Zhiding Yu · Yu-Xiong Wang · Anima Anandkumar · Sanja Fidler · Jose Alvarez
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Generalization Error Bound for Hyperbolic Ordinal Embedding
In Poster Session 6
Atsushi Suzuki · Atsushi Nitanda · Jing Wang · Linchuan Xu · Kenji Yamanishi · Marc Cavazza
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Backpropagated Neighborhood Aggregation for Accurate Training of Spiking Neural Networks
In Poster Session 6
Yukun Yang · Wenrui Zhang · Peng Li
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Learning Transferable Visual Models From Natural Language Supervision
In Poster Session 6
Alec Radford · Jong Wook Kim · Chris Hallacy · Aditya Ramesh · Gabriel Goh · Sandhini Agarwal · Girish Sastry · Amanda Askell · Pamela Mishkin · Jack Clark · Gretchen Krueger · Ilya Sutskever
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Hierarchical Agglomerative Graph Clustering in Nearly-Linear Time
In Poster Session 6
Laxman Dhulipala · David Eisenstat · Jakub Łącki · Vahab Mirrokni · Jessica Shi
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Private Adaptive Gradient Methods for Convex Optimization
In Poster Session 6
Hilal Asi · John Duchi · Alireza Fallah · Omid Javidbakht · Kunal Talwar
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Testing DNN-based Autonomous Driving Systems under Critical Environmental Conditions
In Poster Session 6
Zhong Li · Minxue Pan · Tian Zhang · Xuandong Li
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Efficient Statistical Tests: A Neural Tangent Kernel Approach
In Poster Session 6
Sheng Jia · Ehsan Nezhadarya · Yuhuai Wu · Jimmy Ba
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
On Recovering from Modeling Errors Using Testing Bayesian Networks
In Poster Session 6
Haiying Huang · Adnan Darwiche
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Disentangling syntax and semantics in the brain with deep networks
In Poster Session 6
Charlotte Caucheteux · Alexandre Gramfort · Jean-Remi King
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Demystifying Inductive Biases for (Beta-)VAE Based Architectures
In Poster Session 6
Dominik Zietlow · Michal Rolinek · Georg Martius
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Improving Gradient Regularization using Complex-Valued Neural Networks
In Poster Session 6
Eric Yeats · Yiran Chen · Hai Li
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Leveraging Good Representations in Linear Contextual Bandits
In Poster Session 6
Matteo Papini · Andrea Tirinzoni · Marcello Restelli · Alessandro Lazaric · Matteo Pirotta
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Dimensionality Reduction for the Sum-of-Distances Metric
In Poster Session 6
Zhili Feng · Praneeth Kacham · David Woodruff
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Towards Better Robust Generalization with Shift Consistency Regularization
In Poster Session 6
Shufei Zhang · Zhuang Qian · Kaizhu Huang · Qiufeng Wang · Rui Zhang · Xinping Yi
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
MetaCURE: Meta Reinforcement Learning with Empowerment-Driven Exploration
In Poster Session 6
Jin Zhang · Jianhao Wang · Hao Hu · Tong Chen · Yingfeng Chen · Changjie Fan · Chongjie Zhang
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Fast margin maximization via dual acceleration
In Poster Session 6
Ziwei Ji · Nati Srebro · Matus Telgarsky
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speech
In Poster Session 6
Jaehyeon Kim · Jungil Kong · Juhee Son
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Unitary Branching Programs: Learnability and Lower Bounds
In Poster Session 6
Fidel Ernesto Diaz Andino · Maria Kokkou · Mateus de Oliveira Oliveira · Farhad Vadiee
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Crowdsourcing via Annotator Co-occurrence Imputation and Provable Symmetric Nonnegative Matrix Factorization
In Poster Session 6
Shahana Ibrahim · Xiao Fu
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Objective Bound Conditional Gaussian Process for Bayesian Optimization
In Poster Session 6
Taewon Jeong · Heeyoung Kim
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Progressive-Scale Boundary Blackbox Attack via Projective Gradient Estimation
In Poster Session 6
Jiawei Zhang · Linyi Li · Huichen Li · Xiaolu Zhang · Shuang Yang · Bo Li
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Fused Acoustic and Text Encoding for Multimodal Bilingual Pretraining and Speech Translation
In Poster Session 6
Renjie Zheng · Junkun Chen · Mingbo Ma · Liang Huang
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Pareto GAN: Extending the Representational Power of GANs to Heavy-Tailed Distributions
In Poster Session 6
Todd Huster · Jeremy Cohen · Zinan Lin · Kevin Chan · Charles Kamhoua · Nandi O. Leslie · Cho-Yu Chiang · Vyas Sekar
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
The Distributed Discrete Gaussian Mechanism for Federated Learning with Secure Aggregation
In Poster Session 6
Peter Kairouz · Ziyu Liu · Thomas Steinke
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Budgeted Heterogeneous Treatment Effect Estimation
In Poster Session 6
Tian Qin · Tian-Zuo Wang · Zhi-Hua Zhou
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
SinIR: Efficient General Image Manipulation with Single Image Reconstruction
In Poster Session 6
Jihyeong Yoo · Qifeng Chen
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Learning Diverse-Structured Networks for Adversarial Robustness
In Poster Session 6
Xuefeng Du · Jingfeng Zhang · Bo Han · Tongliang Liu · Yu Rong · Gang Niu · Junzhou Huang · Masashi Sugiyama
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Discretization Drift in Two-Player Games
In Poster Session 6
Mihaela Rosca · Yan Wu · Benoit Dherin · David GT Barrett
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Estimating Identifiable Causal Effects on Markov Equivalence Class through Double Machine Learning
In Poster Session 6
Yonghan Jung · Jin Tian · Elias Bareinboim
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
HoroPCA: Hyperbolic Dimensionality Reduction via Horospherical Projections
In Poster Session 6
Ines Chami · Albert Gu · Dat P Nguyen · Christopher Re
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Correcting Exposure Bias for Link Recommendation
In Poster Session 6
Shantanu Gupta · Hao Wang · Zachary Lipton · Yuyang Wang
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Statistical Estimation from Dependent Data
In Poster Session 6
Vardis Kandiros · Yuval Dagan · Nishanth Dikkala · Surbhi Goel · Constantinos Daskalakis
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Model-Targeted Poisoning Attacks with Provable Convergence
In Poster Session 6
Fnu Suya · Saeed Mahloujifar · Anshuman Suri · David Evans · Yuan Tian
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Bias-Free Scalable Gaussian Processes via Randomized Truncations
In Poster Session 6
Andres Potapczynski · Luhuan Wu · Dan Biderman · Geoff Pleiss · John Cunningham
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Exploration in Approximate Hyper-State Space for Meta Reinforcement Learning
In Poster Session 6
Luisa Zintgraf · Leo Feng · Cong Lu · Maximilian Igl · Kristian Hartikainen · Katja Hofmann · Shimon Whiteson
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Boosting for Online Convex Optimization
In Poster Session 6
Elad Hazan · Karan Singh
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Watermarking Deep Neural Networks with Greedy Residuals
In Poster Session 6
Hanwen Liu · Zhenyu Weng · Yuesheng Zhu
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Composed Fine-Tuning: Freezing Pre-Trained Denoising Autoencoders for Improved Generalization
In Poster Session 6
Sang Michael Xie · Tengyu Ma · Percy Liang
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Run-Sort-ReRun: Escaping Batch Size Limitations in Sliced Wasserstein Generative Models
In Poster Session 6
José Lezama · Wei Chen · Qiang Qiu
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Active Slices for Sliced Stein Discrepancy
In Poster Session 6
Wenbo Gong · Kaibo Zhang · Yingzhen Li · Jose Miguel Hernandez-Lobato
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Finding k in Latent $k-$ polytope
In Poster Session 6
Chiranjib Bhattacharyya · Ravindran Kannan · Amit Kumar
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Prediction-Centric Learning of Independent Cascade Dynamics from Partial Observations
In Poster Session 6
Mateusz Wilinski · Andrey Lokhov
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Improving Predictors via Combination Across Diverse Task Categories
In Poster Session 6
Kwang In Kim
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
UniSpeech: Unified Speech Representation Learning with Labeled and Unlabeled Data
In Poster Session 6
Chengyi Wang · Yu Wu · Yao Qian · Kenichi Kumatani · Shujie Liu · Furu Wei · Michael Zeng · Xuedong Huang
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
HEMET: A Homomorphic-Encryption-Friendly Privacy-Preserving Mobile Neural Network Architecture
In Poster Session 6
Qian Lou · Lei Jiang
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
CIFS: Improving Adversarial Robustness of CNNs via Channel-wise Importance-based Feature Selection
In Poster Session 6
Hanshu YAN · Jingfeng Zhang · Gang Niu · Jiashi Feng · Vincent Tan · Masashi Sugiyama
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
T-SCI: A Two-Stage Conformal Inference Algorithm with Guaranteed Coverage for Cox-MLP
In Poster Session 6
Jiaye Teng · Zeren Tan · Yang Yuan
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Examining and Combating Spurious Features under Distribution Shift
In Poster Session 6
Chunting Zhou · Xuezhe Ma · Paul Michel · Graham Neubig
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
DANCE: Enhancing saliency maps using decoys
In Poster Session 6
Yang Lu · Wenbo Guo · Xinyu Xing · William Stafford Noble
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Simple and Effective VAE Training with Calibrated Decoders
In Poster Session 6
Oleh Rybkin · Kostas Daniilidis · Sergey Levine
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Meta-Thompson Sampling
In Poster Session 6
Branislav Kveton · Mikhail Konobeev · Manzil Zaheer · Chih-wei Hsu · Martin Mladenov · Craig Boutilier · Csaba Szepesvari
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Context-Aware Online Collective Inference for Templated Graphical Models
In Poster Session 6
Charles Dickens · Connor Pryor · Eriq Augustine · Alexander Miller · Lise Getoor
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Machine Unlearning for Random Forests
In Poster Session 6
Jonathan Brophy · Daniel Lowd
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
CURI: A Benchmark for Productive Concept Learning Under Uncertainty
In Poster Session 6
Shanmukha Ramakrishna Vedantam · Arthur Szlam · Maximilian Nickel · Ari Morcos · Brenden Lake
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Reasoning Over Virtual Knowledge Bases With Open Predicate Relations
In Poster Session 6
Haitian Sun · Patrick Verga · Bhuwan Dhingra · Ruslan Salakhutdinov · William Cohen
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Unsupervised Embedding Adaptation via Early-Stage Feature Reconstruction for Few-Shot Classification
In Poster Session 6
Dong Hoon Lee · Sae-Young Chung
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
High-Dimensional Gaussian Process Inference with Derivatives
In Poster Session 6
Filip de Roos · Alexandra Gessner · Philipp Hennig
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Latent Space Energy-Based Model of Symbol-Vector Coupling for Text Generation and Classification
In Poster Session 6
Bo Pang · Ying Nian Wu
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
A Sampling-Based Method for Tensor Ring Decomposition
In Poster Session 6
Osman Asif Malik · Stephen Becker
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Mixed Cross Entropy Loss for Neural Machine Translation
In Poster Session 6
Haoran Li · Wei Lu
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Self-supervised and Supervised Joint Training for Resource-rich Machine Translation
In Poster Session 6
Yong Cheng · Wei Wang · Lu Jiang · Wolfgang Macherey
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Differentially Private Bayesian Inference for Generalized Linear Models
In Poster Session 6
Tejas Kulkarni · Joonas Jälkö · Antti Koskela · Samuel Kaski · Antti Honkela
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Improved Algorithms for Agnostic Pool-based Active Classification
In Poster Session 6
Julian Katz-Samuels · Jifan Zhang · Lalit Jain · Kevin Jamieson
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Privacy-Preserving Feature Selection with Secure Multiparty Computation
In Poster Session 6
Xiling Li · Rafael Dowsley · Martine De Cock
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
SG-PALM: a Fast Physically Interpretable Tensor Graphical Model
In Poster Session 6
Yu Wang · Alfred Hero
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
A Representation Learning Perspective on the Importance of Train-Validation Splitting in Meta-Learning
In Poster Session 6
Nikunj Umesh Saunshi · Arushi Gupta · Wei Hu
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Cross-model Back-translated Distillation for Unsupervised Machine Translation
In Poster Session 6
Xuan-Phi Nguyen · Shafiq Joty · Thanh-Tung Nguyen · Kui Wu · Ai Ti Aw
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Causality-aware counterfactual confounding adjustment as an alternative to linear residualization in anticausal prediction tasks based on linear learners
In Poster Session 6
Elias Chaibub Neto
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Understanding and Mitigating Accuracy Disparity in Regression
In Poster Session 6
Jianfeng Chi · Yuan Tian · Geoff Gordon · Han Zhao
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Differentially Private Sliced Wasserstein Distance
In Poster Session 6
alain rakotomamonjy · Ralaivola Liva
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Equivariant Learning of Stochastic Fields: Gaussian Processes and Steerable Conditional Neural Processes
In Poster Session 6
Peter Holderrieth · Michael Hutchinson · Yee-Whye Teh
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Supervised Tree-Wasserstein Distance
In Poster Session 6
Yuki Takezawa · Ryoma Sato · Makoto Yamada
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Robust Learning for Data Poisoning Attacks
In Poster Session 6
Yunjuan Wang · Poorya Mianjy · Raman Arora
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Meta-Cal: Well-controlled Post-hoc Calibration by Ranking
In Poster Session 6
Xingchen Ma · Matthew B Blaschko
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Practical and Private (Deep) Learning Without Sampling or Shuffling
In Poster Session 6
Peter Kairouz · Brendan McMahan · Shuang Song · Om Dipakbhai Thakkar · Abhradeep Guha Thakurta · Zheng Xu
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Bridging Multi-Task Learning and Meta-Learning: Towards Efficient Training and Effective Adaptation
In Poster Session 6
Haoxiang Wang · Han Zhao · Bo Li
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
SKIing on Simplices: Kernel Interpolation on the Permutohedral Lattice for Scalable Gaussian Processes
In Poster Session 6
Sanyam Kapoor · Marc Finzi · Ke Alexander Wang · Andrew Wilson
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Grey-box Extraction of Natural Language Models
In Poster Session 6
Santiago Zanella-Beguelin · Shruti Tople · Andrew Paverd · Boris Köpf
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
A General Framework For Detecting Anomalous Inputs to DNN Classifiers
In Poster Session 6
Jayaram Raghuram · Varun Chandrasekaran · Somesh Jha · Suman Banerjee
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Self-supervised Graph-level Representation Learning with Local and Global Structure
In Poster Session 6
Minghao Xu · Hang Wang · Bingbing Ni · Hongyu Guo · Jian Tang
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Adversarial Multi Class Learning under Weak Supervision with Performance Guarantees
In Poster Session 6
Alessio Mazzetto · Cyrus Cousins · Dylan Sam · Stephen Bach · Eli Upfal
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Backdoor Scanning for Deep Neural Networks through K-Arm Optimization
In Poster Session 6
Guangyu Shen · Yingqi Liu · Guanhong Tao · Shengwei An · Qiuling Xu · Siyuan Cheng · Shiqing Ma · Xiangyu Zhang
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Valid Causal Inference with (Some) Invalid Instruments
In Poster Session 6
Jason Hartford · Victor Veitch · Dhanya Sridhar · Kevin Leyton-Brown
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Self-Improved Retrosynthetic Planning
In Poster Session 6
Junsu Kim · Sungsoo Ahn · Hankook Lee · Jinwoo Shin
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Online Selection Problems against Constrained Adversary
In Poster Session 6
Zhihao Jiang · Pinyan Lu · Zhihao Gavin Tang · Yuhao Zhang
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Function Contrastive Learning of Transferable Meta-Representations
In Poster Session 6
Muhammad Waleed Gondal · Shruti Joshi · Nasim Rahaman · Stefan Bauer · Manuel Wuthrich · Bernhard Schölkopf
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
A Second look at Exponential and Cosine Step Sizes: Simplicity, Adaptivity, and Performance
In Poster Session 6
Xiaoyu Li · Zhenxun Zhuang · Francesco Orabona
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Maximum Mean Discrepancy Test is Aware of Adversarial Attacks
In Poster Session 6
Ruize Gao · Feng Liu · Jingfeng Zhang · Bo Han · Tongliang Liu · Gang Niu · Masashi Sugiyama
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Probabilistic Generating Circuits
In Poster Session 6
Honghua Zhang · Brendan Juba · Guy Van den Broeck
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Sparse and Imperceptible Adversarial Attack via a Homotopy Algorithm
In Poster Session 6
Mingkang Zhu · Tianlong Chen · Zhangyang “Atlas” Wang
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
You Only Sample (Almost) Once: Linear Cost Self-Attention Via Bernoulli Sampling
In Poster Session 6
Zhanpeng Zeng · Yunyang Xiong · Sathya Ravi · Shailesh Acharya · Glenn Fung · Vikas Singh
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
A Value-Function-based Interior-point Method for Non-convex Bi-level Optimization
In Poster Session 6
Risheng Liu · Xuan Liu · Xiaoming Yuan · Shangzhi Zeng · Jin Zhang
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Decomposed Mutual Information Estimation for Contrastive Representation Learning
In Poster Session 6
Alessandro Sordoni · Nouha Dziri · Hannes Schulz · Geoff Gordon · Philip Bachman · Remi Tachet des Combes
Session
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Poster Session 6
Workshop
Fri Jul 23 02:00 AM -- 11:30 AM (PDT)
Challenges in Deploying and monitoring Machine Learning Systems
Alessandra Tosi · Nathan Korda · Michael A Osborne · Stephen Roberts · Andrei Paleyes · Fariba Yousefi
Workshop
Fri Jul 23 02:28 AM -- 11:30 AM (PDT)
INNF+: Invertible Neural Networks, Normalizing Flows, and Explicit Likelihood Models
Chin-Wei Huang · David Krueger · Rianne Van den Berg · George Papamakarios · Ricky T. Q. Chen · Danilo J. Rezende
Workshop
Fri Jul 23 05:00 AM -- 11:40 AM (PDT)
Theory and Foundation of Continual Learning
Thang Doan · Bogdan Mazoure · Amal Rannen Triki · Rahaf Aljundi · Vincenzo Lomonaco · Xu He · Arslan Chaudhry
Workshop
Fri Jul 23 05:00 AM -- 05:00 PM (PDT)
Tackling Climate Change with Machine Learning
Hari Prasanna Das · Katarzyna Tokarska · Maria João Sousa · Meareg Hailemariam · David Rolnick · Xiaoxiang Zhu · Yoshua Bengio
Workshop
Fri Jul 23 05:00 AM -- 02:30 PM (PDT)
ICML Workshop on Theoretic Foundation, Criticism, and Application Trend of Explainable AI
Quanshi Zhang · Tian Han · Lixin Fan · Zhanxing Zhu · Hang Su · Ying Nian Wu
Workshop
Fri Jul 23 05:45 AM -- 02:30 PM (PDT)
ICML 2021 Workshop on Unsupervised Reinforcement Learning
Feryal Behbahani · Joelle Pineau · Lerrel Pinto · Roberta Raileanu · Aravind Srinivas · Denis Yarats · Amy Zhang
Workshop
Fri Jul 23 05:55 AM -- 02:05 PM (PDT)
ICML Workshop on Representation Learning for Finance and E-Commerce Applications
Senthil Kumar · Sameena Shah · Joan Bruna · Tom Goldstein · Erik Mueller · Oleg Rokhlenko · Hongxia Yang · Jianpeng Xu · Oluwatobi O Olabiyi · Charese Smiley · C. Bayan Bruss · Saurabh H Nagrecha · Svitlana Vyetrenko
Workshop
Fri Jul 23 05:55 AM -- 01:05 PM (PDT)
Human-AI Collaboration in Sequential Decision-Making
Besmira Nushi · Adish Singla · Sebastian Tschiatschek
Workshop
Fri Jul 23 06:00 AM -- 01:30 PM (PDT)
8th ICML Workshop on Automated Machine Learning (AutoML 2021)
Gresa Shala · Frank Hutter · Joaquin Vanschoren · Marius Lindauer · Katharina Eggensperger · Colin White · Erin LeDell
Workshop
Fri Jul 23 06:00 AM -- 10:00 PM (PDT)
Reinforcement Learning for Real Life
Yuxi Li · Minmin Chen · Omer Gottesman · Lihong Li · Zongqing Lu · Rupam Mahmood · Niranjani Prasad · Zhiwei (Tony) Qin · Csaba Szepesvari · Matthew Taylor
Workshop
Fri Jul 23 06:00 AM -- 02:00 PM (PDT)
Uncertainty and Robustness in Deep Learning
Balaji Lakshminarayanan · Dan Hendrycks · Yixuan Li · Jasper Snoek · Silvia Chiappa · Sebastian Nowozin · Thomas Dietterich
Workshop
Fri Jul 23 06:15 AM -- 02:45 PM (PDT)
Interpretable Machine Learning in Healthcare
Yuyin Zhou · Xiaoxiao Li · Vicky Yao · Pengtao Xie · DOU QI · Nicha Dvornek · Julia Schnabel · Judy Wawira · Yifan Peng · Ronald Summers · Alan Karthikesalingam · Lei Xing · Eric Xing
Workshop
Fri Jul 23 07:00 AM -- 03:00 PM (PDT)
Theory and Practice of Differential Privacy
Rachel Cummings · Gautam Kamath
Workshop
Fri Jul 23 08:00 AM -- 05:20 PM (PDT)
Machine Learning for Data: Automated Creation, Privacy, Bias
Zhiting Hu · Li Erran Li · Willie Neiswanger · Benedikt Boecking · Yi Xu · Belinda Zeng
Workshop
Fri Jul 23 08:00 AM -- 02:30 PM (PDT)
The Neglected Assumptions In Causal Inference
Niki Kilbertus · Lily Hu · Laura Balzer · Uri Shalit · Alexander D'Amour · Razieh Nabi
Workshop
Sat Jul 24 04:15 AM -- 11:10 AM (PDT)
ICML Workshop on Human in the Loop Learning (HILL)
Trevor Darrell · Xin Wang · Li Erran Li · Fisher Yu · Zeynep Akata · Wenwu Zhu · Pradeep Ravikumar · Shiji Zhou · Shanghang Zhang · Kalesha Bullard
Workshop
Sat Jul 24 04:45 AM -- 01:15 PM (PDT)
ICML Workshop on Algorithmic Recourse
Stratis Tsirtsis · Amir-Hossein Karimi · Ana Lucic · Manuel Gomez-Rodriguez · Isabel Valera · Hima Lakkaraju
Workshop
Sat Jul 24 04:45 AM -- 02:35 PM (PDT)
A Blessing in Disguise: The Prospects and Perils of Adversarial Machine Learning
Hang Su · Yinpeng Dong · Tianyu Pang · Eric Wong · Zico Kolter · Shuo Feng · Bo Li · Henry Liu · Dan Hendrycks · Francesco Croce · Leslie Rice · Tian Tian
Workshop
Sat Jul 24 05:00 AM -- 03:30 PM (PDT)
International Workshop on Federated Learning for User Privacy and Data Confidentiality in Conjunction with ICML 2021 (FL-ICML'21)
Nathalie Baracaldo · Olivia Choudhury · Gauri Joshi · Peter Richtarik · Praneeth Vepakomma · Shiqiang Wang · Han Yu
Workshop
Sat Jul 24 05:40 AM -- 02:40 PM (PDT)
Workshop on Socially Responsible Machine Learning
Chaowei Xiao · Animashree Anandkumar · Mingyan Liu · Dawn Song · Raquel Urtasun · Jieyu Zhao · Xueru Zhang · Cihang Xie · Xinyun Chen · Bo Li
Workshop
Sat Jul 24 05:43 AM -- 02:20 PM (PDT)
ICML 2021 Workshop on Computational Biology
Yubin Xie · Cassandra Burdziak · Amine Remita · Elham Azizi · Abdoulaye Baniré Diallo · Sandhya Prabhakaran · Debora Marks · Dana Pe'er · Wesley Tansey · Julia Vogt · Engelbert MEPHU NGUIFO · Jaan Altosaar · Anshul Kundaje · Sabeur Aridhi · Bishnu Sarker · Wajdi Dhifli · Alexander Anderson
Workshop
Sat Jul 24 06:00 AM -- 04:30 PM (PDT)
Subset Selection in Machine Learning: From Theory to Applications
Rishabh Iyer · Abir De · Ganesh Ramakrishnan · Jeff Bilmes
Workshop
Sat Jul 24 06:20 AM -- 02:00 PM (PDT)
Workshop on Computational Approaches to Mental Health @ ICML 2021
Niranjani Prasad · Caroline Weis · Shems Saleh · Rosanne Liu · Jake Vasilakes · Agni Kumar · Tianlin Zhang · Ida Momennejad · Danielle Belgrave
Workshop
Sat Jul 24 07:00 AM -- 07:00 PM (PDT)
Information-Theoretic Methods for Rigorous, Responsible, and Reliable Machine Learning (ITR3)
Ahmad Beirami · Flavio Calmon · Berivan Isik · Haewon Jeong · Matthew Nokleby · Cynthia Rush
Workshop
Sat Jul 24 07:00 AM -- 04:50 PM (PDT)
Beyond first-order methods in machine learning systems
Albert S Berahas · Anastasios Kyrillidis · Fred Roosta · Amir Gholaminejad · Michael Mahoney · Rachael Tappenden · Raghu Bollapragada · Rixon Crane · J. Lyle Kim
Workshop
Sat Jul 24 07:20 AM -- 08:50 PM (PDT)
Workshop on Distribution-Free Uncertainty Quantification
Anastasios Angelopoulos · Stephen Bates · Yixuan Li · Aaditya Ramdas · Ryan Tibshirani
Workshop
Sat Jul 24 07:50 AM -- 06:50 PM (PDT)
Self-Supervised Learning for Reasoning and Perception
Pengtao Xie · Shanghang Zhang · Ishan Misra · Pulkit Agrawal · Katerina Fragkiadaki · Ruisi Zhang · Tassilo Klein · Asli Celikyilmaz · Mihaela van der Schaar · Eric Xing
Workshop
Sat Jul 24 08:45 AM -- 06:05 PM (PDT)
Time Series Workshop
Yian Ma · Ehi Nosakhare · Yuyang Wang · Scott Yang · Rose Yu
Workshop
Sat Jul 24 09:00 AM -- 06:20 PM (PDT)
Over-parameterization: Pitfalls and Opportunities
Yasaman Bahri · Quanquan Gu · Amin Karbasi · Hanie Sedghi
Workshop
Sat Jul 24 09:00 AM -- 04:25 PM (PDT)
Workshop on Reinforcement Learning Theory
Shipra Agrawal · Simon Du · Niao He · Csaba Szepesvari · Lin Yang