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(53 events)   Timezone: America/Los_Angeles  
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Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 08:00 PM -- 08:45 PM (PDT)
Distributionally Robust Policy Evaluation and Learning in Offline Contextual Bandits
Nian Si · Fan Zhang · Zhengyuan Zhou · Jose Blanchet
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 08:00 PM -- 08:45 PM (PDT)
Student Specialization in Deep Rectified Networks With Finite Width and Input Dimension
Yuandong Tian
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 08:00 PM -- 08:45 PM (PDT)
Accelerated Stochastic Gradient-free and Projection-free Methods
Feihu Huang · Lue Tao · Songcan Chen
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 08:00 PM -- 08:45 PM (PDT)
Implicit Learning Dynamics in Stackelberg Games: Equilibria Characterization, Convergence Analysis, and Empirical Study
Tanner Fiez · Benjamin Chasnov · Lillian Ratliff
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 08:00 PM -- 08:45 PM (PDT)
NGBoost: Natural Gradient Boosting for Probabilistic Prediction
Tony Duan · Anand Avati · Daisy Yi Ding · Khanh K. Thai · Sanjay Basu · Andrew Ng · Alejandro Schuler
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 08:00 PM -- 08:45 PM (PDT)
MoNet3D: Towards Accurate Monocular 3D Object Localization in Real Time
XICHUAN ZHOU · YiCong Peng · Chunqiao Long · Fengbo Ren · Cong Shi
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 08:00 PM -- 08:45 PM (PDT)
Semiparametric Nonlinear Bipartite Graph Representation Learning with Provable Guarantees
Sen Na · Yuwei Luo · Zhuoran Yang · Zhaoran Wang · Mladen Kolar
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 08:00 PM -- 08:45 PM (PDT)
Collaborative Machine Learning with Incentive-Aware Model Rewards
Rachael Hwee Ling Sim · Yehong Zhang · Mun Choon Chan · Bryan Kian Hsiang Low
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 08:00 PM -- 08:45 PM (PDT)
Two Routes to Scalable Credit Assignment without Weight Symmetry
Daniel Kunin · Aran Nayebi · Javier Sagastuy-Brena · Surya Ganguli · Jonathan Bloom · Daniel Yamins
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 08:00 PM -- 08:45 PM (PDT)
Characterizing Distribution Equivalence and Structure Learning for Cyclic and Acyclic Directed Graphs
AmirEmad Ghassami · Alan Yang · Negar Kiyavash · Kun Zhang
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 08:00 PM -- 08:45 PM (PDT)
Fair Generative Modeling via Weak Supervision
Kristy Choi · Aditya Grover · Trisha Singh · Rui Shu · Stefano Ermon
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 08:00 PM -- 08:45 PM (PDT) @ Virtual
Data Amplification: Instance-Optimal Property Estimation
Yi Hao · Alon Orlitsky
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 08:00 PM -- 08:45 PM (PDT)
Recurrent Hierarchical Topic-Guided RNN for Language Generation
Dandan Guo · Bo Chen · Ruiying Lu · Mingyuan Zhou
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 08:00 PM -- 08:45 PM (PDT) @ Virtual
Private Reinforcement Learning with PAC and Regret Guarantees
Giuseppe Vietri · Borja de Balle Pigem · Akshay Krishnamurthy · Steven Wu
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 08:00 PM -- 08:45 PM (PDT)
Generative Flows with Matrix Exponential
Changyi Xiao · Ligang Liu
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 08:00 PM -- 08:45 PM (PDT) @ Virtual
Self-Concordant Analysis of Frank-Wolfe Algorithms
Pavel Dvurechenskii · Petr Ostroukhov · Kamil Safin · Shimrit Shtern · Mathias Staudigl
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 08:00 PM -- 08:45 PM (PDT)
Semismooth Newton Algorithm for Efficient Projections onto $\ell_{1, \infty}$-norm Ball
Dejun Chu · Changshui Zhang · Shiliang Sun · Qing Tao
Poster
Tue Jul 14 07:00 AM -- 07:45 AM & Tue Jul 14 08:00 PM -- 08:45 PM (PDT)
Training Binary Neural Networks through Learning with Noisy Supervision
Kai Han · Yunhe Wang · Yixing Xu · Chunjing Xu · Enhua Wu · Chang Xu
Poster
Tue Jul 14 08:00 AM -- 08:45 AM & Tue Jul 14 08:00 PM -- 08:45 PM (PDT)
Generative Adversarial Imitation Learning with Neural Network Parameterization: Global Optimality and Convergence Rate
Yufeng Zhang · Qi Cai · Zhuoran Yang · Zhaoran Wang
Poster
Tue Jul 14 08:00 AM -- 08:45 AM & Tue Jul 14 08:00 PM -- 08:45 PM (PDT)
Parameterized Rate-Distortion Stochastic Encoder
Quan Hoang · Trung Le · Dinh Phung
Poster
Tue Jul 14 08:00 AM -- 08:45 AM & Tue Jul 14 08:00 PM -- 08:45 PM (PDT) @ Virtual
Uncertainty-Aware Lookahead Factor Models for Quantitative Investing
Lakshay Chauhan · John Alberg · Zachary Lipton
Poster
Tue Jul 14 08:00 AM -- 08:45 AM & Tue Jul 14 08:00 PM -- 08:45 PM (PDT) @ Virtual
FormulaZero: Distributionally Robust Online Adaptation via Offline Population Synthesis
Aman Sinha · Matthew O'Kelly · Hongrui Zheng · Rahul Mangharam · John Duchi · Russ Tedrake
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) @ Virtual
Rank Aggregation from Pairwise Comparisons in the Presence of Adversarial Corruptions
Arpit Agarwal · Shivani Agarwal · Sanjeev Khanna · Prathamesh Patil
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
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)
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)
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)
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 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 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)
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)
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)
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 08:00 PM -- 08:45 PM (PDT) @ Virtual
Scalable Deep Generative Modeling for Sparse Graphs
Hanjun Dai · Azade Nova · Yujia Li · Bo Dai · Dale Schuurmans
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)
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
Fast OSCAR and OWL Regression via Safe Screening Rules
Runxue Bao · Bin Gu · Heng Huang
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)
Lookahead-Bounded Q-learning
Ibrahim El Shar · Daniel Jiang
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)
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)
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) @ Virtual
Structured Policy Iteration for Linear Quadratic Regulator
Youngsuk Park · Ryan A. Rossi · Zheng Wen · Gang Wu · Handong Zhao
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 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)
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 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)
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 08:00 PM -- 08:45 PM (PDT)
Beyond UCB: Optimal and Efficient Contextual Bandits with Regression Oracles
Dylan Foster · Alexander Rakhlin
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)
A Chance-Constrained Generative Framework for Sequence Optimization
Xianggen Liu · Qiang Liu · Sen Song · Jian Peng