Poster

Thu 10:30

TRAIL: Near-Optimal Imitation Learning with Suboptimal Data
Sherry Yang · Sergey Levine · Ofir Nachum

Poster

Mon 10:30

Near-optimal Offline Reinforcement Learning with Linear Representation: Leveraging Variance Information with Pessimism
Ming Yin · Yaqi Duan · Mengdi Wang · Yu-Xiang Wang

Poster

Thu 18:30

Automatic Loss Function Search for Predict-Then-Optimize Problems with Strong Ranking Property
Boshi Wang · Jialin Yi · Hang Dong · Bo Qiao · Chuan Luo · Qingwei Lin

Poster

Tue 10:30

Shallow and Deep Networks are Near-Optimal Approximators of Korobov Functions
Moise Blanchard · Mohammed Amine Bennouna

Workshop

Fri 7:45

Near-Optimal Learning of Extensive-Form Games with Imperfect Information
Yu Bai · Chi Jin · Song Mei · Tiancheng Yu

Poster

Thu 2:30

Near-Optimal Reward-Free Exploration for Linear Mixture MDPs with Plug-in Solver
Xiaoyu Chen · Jiachen Hu · Lin Yang · Liwei Wang

Workshop

Near-Optimal Learning of Extensive-Form Games with Imperfect Information
Yu Bai · Chi Jin · Song Mei · Tiancheng Yu

Poster

Thu 10:30

FedChain: Chained Algorithms for Near-optimal Communication Cost in Federated Learning
Charlie Hou · Kiran Thekumparampil · Giulia Fanti · Sewoong Oh

Spotlight

Thu 2:30

Near-Optimal Reward-Free Exploration for Linear Mixture MDPs with Plug-in Solver
Xiaoyu Chen · Jiachen Hu · Lin Yang · Liwei Wang

Poster

Mon 2:30

Semi-relaxed Gromov-Wasserstein divergence and applications on graphs
Cédric Vincent-Cuaz · Rémi Flamary · Marco Corneli · Titouan Vayer · Nicolas Courty

Poster

Thu 10:30

Optimization and Adaptive Generalization of Three layer Neural Networks
Khashayar Gatmiry · Stefanie Jegelka · Jonathan Kelner

Poster

Thu 10:30

Who Is the Strongest Enemy? Towards Optimal and Efficient Evasion Attacks in Deep RL
Yanchao Sun · Ruijie Zheng · Yongyuan Liang · Furong Huang