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The 2020 schedule is still incomplete
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Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Tue Jul 14 08:00 PM -- 08:45 PM (PDT)
Bayesian Graph Neural Networks with Adaptive Connection Sampling
Arman Hasanzadeh · Ehsan Hajiramezanali · Shahin Boluki · Mingyuan Zhou · Nick Duffield · Krishna Narayanan · Xiaoning Qian
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Tue Jul 14 08:00 PM -- 08:45 PM (PDT)
Designing Optimal Dynamic Treatment Regimes: A Causal Reinforcement Learning Approach
Junzhe Zhang
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Tue Jul 14 08:00 PM -- 08:45 PM (PDT)
Evolutionary Reinforcement Learning for Sample-Efficient Multiagent Coordination
Somdeb Majumdar · Shauharda Khadka · Santiago Miret · Stephen Mcaleer · Kagan Tumer
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Tue Jul 14 08:00 PM -- 08:45 PM (PDT)
Learning and Sampling of Atomic Interventions from Observations
Arnab Bhattacharyya · Sutanu Gayen · Saravanan Kandasamy · Ashwin Maran · Vinodchandran N. Variyam
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Tue Jul 14 09:00 PM -- 09:45 PM (PDT)
Variable Skipping for Autoregressive Range Density Estimation
Eric Liang · Zongheng Yang · Ion Stoica · Pieter Abbeel · Yan Duan · Peter Chen
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Wed Jul 15 08:00 PM -- 08:45 PM (PDT)
Context Aware Local Differential Privacy
Jayadev Acharya · Kallista Bonawitz · Peter Kairouz · Daniel Ramage · Ziteng Sun
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Wed Jul 15 08:00 PM -- 08:45 PM (PDT)
Variance Reduction in Stochastic Particle-Optimization Sampling
Jianyi Zhang · Yang Zhao · Changyou Chen
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Tue Jul 14 10:00 PM -- 10:45 PM (PDT)
Robustness to Spurious Correlations via Human Annotations
Megha Srivastava · Tatsunori Hashimoto · Percy Liang
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Tue Jul 14 08:00 PM -- 08:45 PM (PDT)
Feature Quantization Improves GAN Training
Yang Zhao · Chunyuan Li · Ping Yu · Jianfeng Gao · Changyou Chen
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Tue Jul 14 08:00 PM -- 08:45 PM (PDT)
Source Separation with Deep Generative Priors
Vivek Jayaram · John Thickstun
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Tue Jul 14 08:00 PM -- 08:45 PM (PDT)
Provable guarantees for decision tree induction: the agnostic setting
Guy Blanc · Jane Lange · Li-Yang Tan
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Tue Jul 14 09:00 PM -- 09:45 PM (PDT)
Adversarial Attacks on Probabilistic Autoregressive Forecasting Models
RaphaĆ«l Dang-Nhu · Gagandeep Singh · Pavol Bielik · Martin Vechev
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Tue Jul 14 09:00 PM -- 09:45 PM (PDT)
Fiduciary Bandits
Gal Bahar · Omer Ben-Porat · Kevin Leyton-Brown · Moshe Tennenholtz
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Tue Jul 14 10:00 PM -- 10:45 PM (PDT) @ Virtual
Streaming Coresets for Symmetric Tensor Factorization
Supratim Shit · Rachit Chhaya · Jayesh Choudhari · Anirban Dasgupta
[ Slides
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Tue Jul 14 10:00 PM -- 10:45 PM (PDT)
The Many Shapley Values for Model Explanation
Mukund Sundararajan · Amir Najmi
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Wed Jul 15 08:00 PM -- 08:45 PM (PDT) @ Virtual
A Markov Decision Process Model for Socio-Economic Systems Impacted by Climate Change
Salman Sadiq Shuvo · Yasin Yilmaz · Alan Bush · Mark Hafen
[ Slides
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Wed Jul 15 08:00 PM -- 08:45 PM (PDT)
Deep k-NN for Noisy Labels
Dara Bahri · Heinrich Jiang · Maya Gupta
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Wed Jul 15 08:00 PM -- 08:45 PM (PDT)
Inverse Active Sensing: Modeling and Understanding Timely Decision-Making
Daniel Jarrett · Mihaela van der Schaar
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Tue Jul 14 10:00 PM -- 10:45 PM (PDT) @ Virtual
Neural Contextual Bandits with UCB-based Exploration
Dongruo Zhou · Lihong Li · Quanquan Gu
[ Slides
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Tue Jul 14 10:00 PM -- 10:45 PM (PDT) @ Virtual
Closed Loop Neural-Symbolic Learning via Integrating Neural Perception, Grammar Parsing, and Symbolic Reasoning
Qing Li · Siyuan Huang · Yining Hong · Yixin Chen · Ying Nian Wu · Song-Chun Zhu
[ Slides
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Tue Jul 14 10:00 PM -- 10:45 PM (PDT) @ Virtual
Tightening Exploration in Upper Confidence Reinforcement Learning
Hippolyte Bourel · Odalric-Ambrym Maillard · Mohammad Sadegh Talebi
[ Slides
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Tue Jul 14 08:00 PM -- 08:45 PM (PDT) @ Virtual
Structured Policy Iteration for Linear Quadratic Regulator
Youngsuk Park · Ryan A. Rossi · Zheng Wen · Gang Wu · Handong Zhao
[ Slides
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Tue Jul 14 10:00 PM -- 10:45 PM (PDT)
Being Bayesian about Categorical Probability
Taejong Joo · Uijung Chung · Min-Gwan Seo
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Tue Jul 14 08:00 PM -- 08:45 PM (PDT)
Learning Adversarially Robust Representations via Worst-Case Mutual Information Maximization
Sicheng Zhu · Xiao Zhang · David Evans
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Tue Jul 14 08:00 PM -- 08:45 PM (PDT)
Variational Imitation Learning with Diverse-quality Demonstrations
Voot Tangkaratt · Bo Han · Mohammad Emtiyaz Khan · Masashi Sugiyama
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Tue Jul 14 08:00 PM -- 08:45 PM (PDT)
Lookahead-Bounded Q-learning
Ibrahim El Shar · Daniel Jiang
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Tue Jul 14 10:00 PM -- 10:45 PM (PDT) @ Virtual
Low-loss connection of weight vectors: distribution-based approaches
Ivan Anokhin · Dmitry Yarotsky
[ Slides
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Tue Jul 14 10:00 PM -- 10:45 PM (PDT) @ Virtual
Recovery of Sparse Signals from a Mixture of Linear Samples
Soumyabrata Pal · Arya Mazumdar
[ Slides
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Tue Jul 14 10:00 PM -- 10:45 PM (PDT)
Non-Autoregressive Neural Text-to-Speech
Kainan Peng · Wei Ping · Zhao Song · Kexin Zhao
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Wed Jul 15 08:00 PM -- 08:45 PM (PDT)
On Semi-parametric Inference for BART
Veronika Rockova
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Wed Jul 15 08:00 PM -- 08:45 PM (PDT)
Description Based Text Classification with Reinforcement Learning
Duo Chai · Wei Wu · Qinghong Han · Fei Wu · Jiwei Li
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Tue Jul 14 08:00 PM -- 08:45 PM (PDT) @ Virtual
Task-Oriented Active Perception and Planning in Environments with Partially Known Semantics
Mahsa Ghasemi · Erdem Bulgur · Ufuk Topcu
[ Slides
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Tue Jul 14 08:00 PM -- 08:45 PM (PDT) @ Virtual
Scalable Deep Generative Modeling for Sparse Graphs
Hanjun Dai · Azade Nazi · Yujia Li · Bo Dai · Dale Schuurmans
[ Slides
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Tue Jul 14 08:00 PM -- 08:45 PM (PDT)
CAUSE: Learning Granger Causality from Event Sequences using Attribution Methods
Wei Zhang · Thomas Panum · Somesh Jha · Prasad Chalasani · David Page
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Tue Jul 14 08:00 PM -- 08:45 PM (PDT)
A Chance-Constrained Generative Framework for Sequence Optimization
Xianggen Liu · Qiang Liu · Sen Song · Jian Peng
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Tue Jul 14 08:00 PM -- 08:45 PM (PDT)
Obtaining Adjustable Regularization for Free via Iterate Averaging
Jingfeng Wu · Vladimir Braverman · Lin Yang
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Tue Jul 14 10:00 PM -- 10:45 PM (PDT)
LazyIter: A Fast Algorithm for Counting Markov Equivalent DAGs and Designing Experiments
Ali Teshnizi · Saber Salehkaleybar · Negar Kiyavash
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Tue Jul 14 08:00 PM -- 08:45 PM (PDT) @ Virtual
Fast OSCAR and OWL Regression via Safe Screening Rules
Runxue Bao · Bin Gu · Heng Huang
[ Slides
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Tue Jul 14 08:00 PM -- 08:45 PM (PDT)
Hierarchically Decoupled Imitation For Morphological Transfer
Donald Hejna · Lerrel Pinto · Pieter Abbeel
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Tue Jul 14 08:00 PM -- 08:45 PM (PDT) @ Virtual
Rank Aggregation from Pairwise Comparisons in the Presence of Adversarial Corruptions
Arpit Agarwal · Shivani Agarwal · Sanjeev Khanna · Prathamesh Patil
[ Slides
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Tue Jul 14 08:00 PM -- 08:45 PM (PDT)
Multiresolution Tensor Learning for Efficient and Interpretable Spatial Analysis
Jung Yeon Park · Kenneth Carr · Stephan Zheng · Yisong Yue · Rose Yu
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Tue Jul 14 08:00 PM -- 08:45 PM (PDT)
Retrieval Augmented Language Model Pre-Training
Kelvin Guu · Kenton Lee · Zora Tung · Panupong Pasupat · Mingwei Chang
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Tue Jul 14 08:00 PM -- 08:45 PM (PDT)
Certified Robustness to Label-Flipping Attacks via Randomized Smoothing
Elan Rosenfeld · Ezra Winston · Pradeep Ravikumar · Zico Kolter
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Tue Jul 14 10:00 PM -- 10:45 PM (PDT) @ Virtual
Disentangling Trainability and Generalization in Deep Neural Networks
Lechao Xiao · Jeffrey Pennington · Samuel Schoenholz
[ Slides
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Tue Jul 14 10:00 PM -- 10:45 PM (PDT)
How Good is the Bayes Posterior in Deep Neural Networks Really?
Florian Wenzel · Kevin Roth · Bastiaan Veeling · Jakub Swiatkowski · Linh Tran · Stephan Mandt · Jasper Snoek · Tim Salimans · Rodolphe Jenatton · Sebastian Nowozin
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Tue Jul 14 08:00 PM -- 08:45 PM (PDT)
Enhanced POET: Open-ended Reinforcement Learning through Unbounded Invention of Learning Challenges and their Solutions
Rui Wang · Joel Lehman · Aditya Rawal · Jiale Zhi · Yulun Li · Jeffrey Clune · Kenneth Stanley
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Tue Jul 14 10:00 PM -- 10:45 PM (PDT) @ Virtual
BoXHED: Boosted eXact Hazard Estimator with Dynamic covariates
Xiaochen Wang · Arash Pakbin · Bobak Mortazavi · Hongyu Zhao · Donald Lee
[ Slides
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Tue Jul 14 10:00 PM -- 10:45 PM (PDT) @ Virtual
Learning Algebraic Multigrid Using Graph Neural Networks
Ilay Luz · Meirav Galun · Haggai Maron · Ronen Basri · Irad Yavneh
[ Slides
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Tue Jul 14 08:00 PM -- 08:45 PM (PDT)
Stabilizing Differentiable Architecture Search via Perturbation-based Regularization
Xiangning Chen · Cho-Jui Hsieh
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Tue Jul 14 08:00 PM -- 08:45 PM (PDT)
Dispersed Exponential Family Mixture VAEs for Interpretable Text Generation
Wenxian Shi · Hao Zhou · Ning Miao · Lei Li
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Tue Jul 14 08:00 PM -- 08:45 PM (PDT)
Learning Compound Tasks without Task-specific Knowledge via Imitation and Self-supervised Learning
Sang-Hyun Lee · Seung-Woo Seo
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Tue Jul 14 08:00 PM -- 08:45 PM (PDT)
An Investigation of Why Overparameterization Exacerbates Spurious Correlations
Shiori Sagawa · aditi raghunathan · Pang Wei Koh · Percy Liang
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Tue Jul 14 08:00 PM -- 08:45 PM (PDT)
Nearly Linear Row Sampling Algorithm for Quantile Regression
Yi Li · Ruosong Wang · Lin Yang · Hanrui Zhang
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Tue Jul 14 08:00 PM -- 08:45 PM (PDT)
Generalization Guarantees for Sparse Kernel Approximation with Entropic Optimal Features
Liang Ding · Rui Tuo · Shahin Shahrampour
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Tue Jul 14 08:00 PM -- 08:45 PM (PDT)
Safe Imitation Learning via Fast Bayesian Reward Inference from Preferences
Daniel Brown · Russell Coleman · Ravi Srinivasan · Scott Niekum
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Tue Jul 14 09:00 PM -- 09:45 PM (PDT)
Two Simple Ways to Learn Individual Fairness Metrics from Data
Debarghya Mukherjee · Mikhail Yurochkin · Moulinath Banerjee · Yuekai Sun
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Tue Jul 14 08:00 PM -- 08:45 PM (PDT)
Beyond UCB: Optimal and Efficient Contextual Bandits with Regression Oracles
Dylan Foster · Alexander Rakhlin