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Poster
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Thu 14:00
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SQ Lower Bounds for Learning Single Neurons with Massart Noise
Ilias Diakonikolas · Daniel Kane · Lisheng Ren · Yuxin Sun
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Workshop
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Benefits of Overparameterized Convolutional Residual Networks: Function Approximation under Smoothness Constraint
Hao Liu · Minshuo Chen · Siawpeng Er · Wenjing Liao · Tong Zhang · Tuo Zhao
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Poster
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Thu 14:00
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Identifying good directions to escape the NTK regime and efficiently learn low-degree plus sparse polynomials
Eshaan Nichani · Yu Bai · Jason Lee
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Poster
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Tue 14:00
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Off-Policy Evaluation for Episodic Partially Observable Markov Decision Processes under Non-Parametric Models
Rui Miao · Zhengling Qi · Xiaoke Zhang
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Poster
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Tue 14:00
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Consistent Sufficient Explanations and Minimal Local Rules for explaining the decision of any classifier or regressor
Salim I. Amoukou · Nicolas Brunel
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Poster
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Tue 9:00
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Outlier-Robust Sparse Estimation via Non-Convex Optimization
Yu Cheng · Ilias Diakonikolas · Rong Ge · Shivam Gupta · Daniel Kane · Mahdi Soltanolkotabi
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Poster
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Wed 9:00
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Policy Optimization for Markov Games: Unified Framework and Faster Convergence
Runyu Zhang · Qinghua Liu · Huan Wang · Caiming Xiong · Na Li · Yu Bai
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Poster
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Wed 14:00
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Mismatched No More: Joint Model-Policy Optimization for Model-Based RL
Benjamin Eysenbach · Alexander Khazatsky · Sergey Levine · Russ Salakhutdinov
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Poster
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Thu 14:00
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Efficient Phi-Regret Minimization in Extensive-Form Games via Online Mirror Descent
Yu Bai · Chi Jin · Song Mei · Ziang Song · Tiancheng Yu
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Poster
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Thu 14:00
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Provably Efficient Model-Free Constrained RL with Linear Function Approximation
Arnob Ghosh · Xingyu Zhou · Ness Shroff
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Poster
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Revisiting Graph Contrastive Learning from the Perspective of Graph Spectrum
Nian Liu · Xiao Wang · Deyu Bo · Chuan Shi · Jian Pei
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Poster
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Tue 9:00
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Provably sample-efficient RL with side information about latent dynamics
Yao Liu · Dipendra Misra · Miro Dudik · Robert Schapire
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