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Poster
Tue Jul 14 11:00 PM -- 11:45 PM & Wed Jul 15 12:00 PM -- 12:45 PM (KST)
Collaborative Machine Learning with Incentive-Aware Model Rewards
In Poster Session 12
Rachael Hwee Ling Sim · Yehong Zhang · Mun Choon Chan · Bryan Kian Hsiang Low
Poster
Tue Jul 14 11:00 PM -- 11:45 PM & Wed Jul 15 12:00 PM -- 12:45 PM (KST)
Distributionally Robust Policy Evaluation and Learning in Offline Contextual Bandits
In Poster Session 12
Nian Si · Fan Zhang · Zhengyuan Zhou · Jose Blanchet
Poster
Tue Jul 14 11:00 PM -- 11:45 PM & Wed Jul 15 12:00 PM -- 12:45 PM (KST)
Recurrent Hierarchical Topic-Guided RNN for Language Generation
In Poster Session 12
Dandan Guo · Bo Chen · Ruiying Lu · Mingyuan Zhou
Poster
Tue Jul 14 11:00 PM -- 11:45 PM & Wed Jul 15 12:00 PM -- 12:45 PM (KST) @ Virtual
Self-Concordant Analysis of Frank-Wolfe Algorithms
In Poster Session 12
Pavel Dvurechenskii · Petr Ostroukhov · Kamil Safin · Shimrit Shtern · Mathias Staudigl
Poster
Tue Jul 14 11:00 PM -- 11:45 PM & Wed Jul 15 12:00 PM -- 12:45 PM (KST)
Characterizing Distribution Equivalence and Structure Learning for Cyclic and Acyclic Directed Graphs
In Poster Session 12
AmirEmad Ghassami · Alan Yang · Negar Kiyavash · Kun Zhang
Poster
Tue Jul 14 11:00 PM -- 11:45 PM & Wed Jul 15 12:00 PM -- 12:45 PM (KST)
Training Binary Neural Networks through Learning with Noisy Supervision
In Poster Session 12
Kai Han · Yunhe Wang · Yixing Xu · Chunjing Xu · Enhua Wu · Chang Xu
Poster
Tue Jul 14 11:00 PM -- 11:45 PM & Wed Jul 15 12:00 PM -- 12:45 PM (KST)
Student Specialization in Deep Rectified Networks With Finite Width and Input Dimension
In Poster Session 12
Yuandong Tian
Poster
Tue Jul 14 11:00 PM -- 11:45 PM & Wed Jul 15 12:00 PM -- 12:45 PM (KST)
Semismooth Newton Algorithm for Efficient Projections onto $\ell_{1, \infty}$-norm Ball
In Poster Session 12
Dejun Chu · Changshui Zhang · Shiliang Sun · Qing Tao
Poster
Tue Jul 14 11:00 PM -- 11:45 PM & Wed Jul 15 12:00 PM -- 12:45 PM (KST)
Generative Flows with Matrix Exponential
In Poster Session 12
Changyi Xiao · Ligang Liu
Poster
Tue Jul 14 11:00 PM -- 11:45 PM & Wed Jul 15 12:00 PM -- 12:45 PM (KST) @ Virtual
Private Reinforcement Learning with PAC and Regret Guarantees
In Poster Session 12
Giuseppe Vietri · Borja de Balle Pigem · Akshay Krishnamurthy · Steven Wu
Poster
Tue Jul 14 11:00 PM -- 11:45 PM & Wed Jul 15 12:00 PM -- 12:45 PM (KST) @ Virtual
Data Amplification: Instance-Optimal Property Estimation
In Poster Session 12
Yi Hao · Alon Orlitsky
Poster
Tue Jul 14 11:00 PM -- 11:45 PM & Wed Jul 15 12:00 PM -- 12:45 PM (KST)
Fair Generative Modeling via Weak Supervision
In Poster Session 12
Kristy Choi · Aditya Grover · Trisha Singh · Rui Shu · Stefano Ermon
Poster
Tue Jul 14 11:00 PM -- 11:45 PM & Wed Jul 15 12:00 PM -- 12:45 PM (KST)
Two Routes to Scalable Credit Assignment without Weight Symmetry
In Poster Session 12
Daniel Kunin · Aran Nayebi · Javier Sagastuy-Brena · Surya Ganguli · Jonathan Bloom · Daniel Yamins
Poster
Tue Jul 14 11:00 PM -- 11:45 PM & Wed Jul 15 12:00 PM -- 12:45 PM (KST)
MoNet3D: Towards Accurate Monocular 3D Object Localization in Real Time
In Poster Session 12
XICHUAN ZHOU · YiCong Peng · Chunqiao Long · Fengbo Ren · Cong Shi
Poster
Tue Jul 14 11:00 PM -- 11:45 PM & Wed Jul 15 12:00 PM -- 12:45 PM (KST)
Semiparametric Nonlinear Bipartite Graph Representation Learning with Provable Guarantees
In Poster Session 12
Sen Na · Yuwei Luo · Zhuoran Yang · Zhaoran Wang · Mladen Kolar
Poster
Tue Jul 14 11:00 PM -- 11:45 PM & Wed Jul 15 12:00 PM -- 12:45 PM (KST)
Accelerated Stochastic Gradient-free and Projection-free Methods
In Poster Session 12
Feihu Huang · Lue Tao · Songcan Chen
Poster
Tue Jul 14 11:00 PM -- 11:45 PM & Wed Jul 15 12:00 PM -- 12:45 PM (KST)
Implicit Learning Dynamics in Stackelberg Games: Equilibria Characterization, Convergence Analysis, and Empirical Study
In Poster Session 12
Tanner Fiez · Benjamin Chasnov · Lillian Ratliff
Poster
Tue Jul 14 11:00 PM -- 11:45 PM & Wed Jul 15 12:00 PM -- 12:45 PM (KST)
NGBoost: Natural Gradient Boosting for Probabilistic Prediction
In Poster Session 12
Tony Duan · Anand Avati · Daisy Yi Ding · Khanh K. Thai · Sanjay Basu · Andrew Ng · Alejandro Schuler
Poster
Wed Jul 15 12:00 AM -- 12:45 AM & Wed Jul 15 12:00 PM -- 12:45 PM (KST)
Generative Adversarial Imitation Learning with Neural Network Parameterization: Global Optimality and Convergence Rate
In Poster Session 12
Yufeng Zhang · Qi Cai · Zhuoran Yang · Zhaoran Wang
Poster
Wed Jul 15 12:00 AM -- 12:45 AM & Wed Jul 15 12:00 PM -- 12:45 PM (KST)
Parameterized Rate-Distortion Stochastic Encoder
In Poster Session 12
Quan Hoang · Trung Le · Dinh Phung
Poster
Wed Jul 15 12:00 AM -- 12:45 AM & Wed Jul 15 12:00 PM -- 12:45 PM (KST) @ Virtual
FormulaZero: Distributionally Robust Online Adaptation via Offline Population Synthesis
In Poster Session 12
Aman Sinha · Matthew O'Kelly · Hongrui Zheng · Rahul Mangharam · John Duchi · Russ Tedrake
Poster
Wed Jul 15 12:00 AM -- 12:45 AM & Wed Jul 15 12:00 PM -- 12:45 PM (KST) @ Virtual
Uncertainty-Aware Lookahead Factor Models for Quantitative Investing
In Poster Session 12
Lakshay Chauhan · John Alberg · Zachary Lipton
Poster
Wed Jul 15 01:00 AM -- 01:45 AM & Wed Jul 15 12:00 PM -- 12:45 PM (KST)
An Investigation of Why Overparameterization Exacerbates Spurious Correlations
In Poster Session 12
Shiori Sagawa · aditi raghunathan · Pang Wei Koh · Percy Liang
Poster
Wed Jul 15 01:00 AM -- 01:45 AM & Wed Jul 15 12:00 PM -- 12:45 PM (KST)
Bayesian Graph Neural Networks with Adaptive Connection Sampling
In Poster Session 12
Arman Hasanzadeh · Ehsan Hajiramezanali · Shahin Boluki · Mingyuan Zhou · Nick Duffield · Krishna Narayanan · Xiaoning Qian
Poster
Wed Jul 15 01:00 AM -- 01:45 AM & Wed Jul 15 12:00 PM -- 12:45 PM (KST)
Beyond UCB: Optimal and Efficient Contextual Bandits with Regression Oracles
In Poster Session 12
Dylan Foster · Alexander Rakhlin
Poster
Wed Jul 15 01:00 AM -- 01:45 AM & Wed Jul 15 12:00 PM -- 12:45 PM (KST)
Source Separation with Deep Generative Priors
In Poster Session 12
Vivek Jayaram · John Thickstun
Poster
Wed Jul 15 01:00 AM -- 01:45 AM & Wed Jul 15 12:00 PM -- 12:45 PM (KST)
A Chance-Constrained Generative Framework for Sequence Optimization
In Poster Session 12
Xianggen Liu · Qiang Liu · Sen Song · Jian Peng
Poster
Wed Jul 15 01:00 AM -- 01:45 AM & Wed Jul 15 12:00 PM -- 12:45 PM (KST)
Feature Quantization Improves GAN Training
In Poster Session 12
Yang Zhao · Chunyuan Li · Ping Yu · Jianfeng Gao · Changyou Chen
Poster
Wed Jul 15 01:00 AM -- 01:45 AM & Wed Jul 15 12:00 PM -- 12:45 PM (KST) @ Virtual
Task-Oriented Active Perception and Planning in Environments with Partially Known Semantics
In Poster Session 12
Mahsa Ghasemi · Erdem Bulgur · Ufuk Topcu
Poster
Wed Jul 15 01:00 AM -- 01:45 AM & Wed Jul 15 12:00 PM -- 12:45 PM (KST)
Evolutionary Reinforcement Learning for Sample-Efficient Multiagent Coordination
In Poster Session 12
Somdeb Majumdar · Shauharda Khadka · Santiago Miret · Stephen Mcaleer · Kagan Tumer
Poster
Wed Jul 15 01:00 AM -- 01:45 AM & Wed Jul 15 12:00 PM -- 12:45 PM (KST)
Learning Compound Tasks without Task-specific Knowledge via Imitation and Self-supervised Learning
In Poster Session 12
Sang-Hyun Lee · Seung-Woo Seo
Poster
Wed Jul 15 01:00 AM -- 01:45 AM & Wed Jul 15 12:00 PM -- 12:45 PM (KST)
Safe Imitation Learning via Fast Bayesian Reward Inference from Preferences
In Poster Session 12
Daniel Brown · Russell Coleman · Ravi Srinivasan · Scott Niekum
Poster
Wed Jul 15 01:00 AM -- 01:45 AM & Wed Jul 15 12:00 PM -- 12:45 PM (KST)
Enhanced POET: Open-ended Reinforcement Learning through Unbounded Invention of Learning Challenges and their Solutions
In Poster Session 12
Rui Wang · Joel Lehman · Aditya Rawal · Jiale Zhi · Yulun Li · Jeffrey Clune · Kenneth Stanley
Poster
Wed Jul 15 01:00 AM -- 01:45 AM & Wed Jul 15 12:00 PM -- 12:45 PM (KST)
Multiresolution Tensor Learning for Efficient and Interpretable Spatial Analysis
In Poster Session 12
Jung Yeon Park · Kenneth Carr · Stephan Zheng · Yisong Yue · Rose Yu
Poster
Wed Jul 15 01:00 AM -- 01:45 AM & Wed Jul 15 12:00 PM -- 12:45 PM (KST)
Variational Imitation Learning with Diverse-quality Demonstrations
In Poster Session 12
Voot Tangkaratt · Bo Han · Mohammad Emtiyaz Khan · Masashi Sugiyama
Poster
Wed Jul 15 01:00 AM -- 01:45 AM & Wed Jul 15 12:00 PM -- 12:45 PM (KST)
Lookahead-Bounded Q-learning
In Poster Session 12
Ibrahim El Shar · Daniel Jiang
Poster
Wed Jul 15 01:00 AM -- 01:45 AM & Wed Jul 15 12:00 PM -- 12:45 PM (KST)
Obtaining Adjustable Regularization for Free via Iterate Averaging
In Poster Session 12
Jingfeng Wu · Vladimir Braverman · Lin Yang
Poster
Wed Jul 15 01:00 AM -- 01:45 AM & Wed Jul 15 12:00 PM -- 12:45 PM (KST)
Hierarchically Decoupled Imitation For Morphological Transfer
In Poster Session 12
Donald Hejna · Lerrel Pinto · Pieter Abbeel
Poster
Wed Jul 15 01:00 AM -- 01:45 AM & Wed Jul 15 12:00 PM -- 12:45 PM (KST)
Learning Adversarially Robust Representations via Worst-Case Mutual Information Maximization
In Poster Session 12
Sicheng Zhu · Xiao Zhang · David Evans
Poster
Wed Jul 15 01:00 AM -- 01:45 AM & Wed Jul 15 12:00 PM -- 12:45 PM (KST) @ Virtual
Structured Policy Iteration for Linear Quadratic Regulator
In Poster Session 12
Youngsuk Park · Ryan A. Rossi · Zheng Wen · Gang Wu · Handong Zhao
Poster
Wed Jul 15 01:00 AM -- 01:45 AM & Wed Jul 15 12:00 PM -- 12:45 PM (KST)
CAUSE: Learning Granger Causality from Event Sequences using Attribution Methods
In Poster Session 12
Wei Zhang · Thomas Panum · Somesh Jha · Prasad Chalasani · David Page
Poster
Wed Jul 15 01:00 AM -- 01:45 AM & Wed Jul 15 12:00 PM -- 12:45 PM (KST) @ Virtual
Rank Aggregation from Pairwise Comparisons in the Presence of Adversarial Corruptions
In Poster Session 12
Arpit Agarwal · Shivani Agarwal · Sanjeev Khanna · Prathamesh Patil
Poster
Wed Jul 15 01:00 AM -- 01:45 AM & Wed Jul 15 12:00 PM -- 12:45 PM (KST)
Generalization Guarantees for Sparse Kernel Approximation with Entropic Optimal Features
In Poster Session 12
Liang Ding · Rui Tuo · Shahin Shahrampour
Poster
Wed Jul 15 01:00 AM -- 01:45 AM & Wed Jul 15 12:00 PM -- 12:45 PM (KST)
Retrieval Augmented Language Model Pre-Training
In Poster Session 12
Kelvin Guu · Kenton Lee · Zora Tung · Panupong Pasupat · Mingwei Chang
Poster
Wed Jul 15 01:00 AM -- 01:45 AM & Wed Jul 15 12:00 PM -- 12:45 PM (KST)
Nearly Linear Row Sampling Algorithm for Quantile Regression
In Poster Session 12
Yi Li · Ruosong Wang · Lin Yang · Hanrui Zhang
Poster
Wed Jul 15 01:00 AM -- 01:45 AM & Wed Jul 15 12:00 PM -- 12:45 PM (KST) @ Virtual
Fast OSCAR and OWL Regression via Safe Screening Rules
In Poster Session 12
Runxue Bao · Bin Gu · Heng Huang
Poster
Wed Jul 15 01:00 AM -- 01:45 AM & Wed Jul 15 12:00 PM -- 12:45 PM (KST)
Stabilizing Differentiable Architecture Search via Perturbation-based Regularization
In Poster Session 12
Xiangning Chen · Cho-Jui Hsieh
Poster
Wed Jul 15 01:00 AM -- 01:45 AM & Wed Jul 15 12:00 PM -- 12:45 PM (KST)
Provable guarantees for decision tree induction: the agnostic setting
In Poster Session 12
Guy Blanc · Jane Lange · Li-Yang Tan
Poster
Wed Jul 15 01:00 AM -- 01:45 AM & Wed Jul 15 12:00 PM -- 12:45 PM (KST) @ Virtual
Scalable Deep Generative Modeling for Sparse Graphs
In Poster Session 12
Hanjun Dai · Azade Nova · Yujia Li · Bo Dai · Dale Schuurmans
Poster
Wed Jul 15 01:00 AM -- 01:45 AM & Wed Jul 15 12:00 PM -- 12:45 PM (KST)
Learning and Sampling of Atomic Interventions from Observations
In Poster Session 12
Arnab Bhattacharyya · Sutanu Gayen · Saravanan Kandasamy · Ashwin Maran · Vinodchandran N. Variyam
Poster
Wed Jul 15 01:00 AM -- 01:45 AM & Wed Jul 15 12:00 PM -- 12:45 PM (KST)
Designing Optimal Dynamic Treatment Regimes: A Causal Reinforcement Learning Approach
In Poster Session 12
Junzhe Zhang
Poster
Wed Jul 15 01:00 AM -- 01:45 AM & Wed Jul 15 12:00 PM -- 12:45 PM (KST)
Dispersed Exponential Family Mixture VAEs for Interpretable Text Generation
In Poster Session 12
Wenxian Shi · Hao Zhou · Ning Miao · Lei Li
Poster
Wed Jul 15 01:00 AM -- 01:45 AM & Wed Jul 15 12:00 PM -- 12:45 PM (KST)
Certified Robustness to Label-Flipping Attacks via Randomized Smoothing
In Poster Session 12
Elan Rosenfeld · Ezra Winston · Pradeep Ravikumar · Zico Kolter