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Towards General Function Approximation in Zero-Sum Markov Games


Jul 30, 2021
Baihe Huang, Jason D. Lee, Zhaoran Wang, Zhuoran Yang


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Going Beyond Linear RL: Sample Efficient Neural Function Approximation


Jul 14, 2021
Baihe Huang, Kaixuan Huang, Sham M. Kakade, Jason D. Lee, Qi Lei, Runzhe Wang, Jiaqi Yang


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Optimal Gradient-based Algorithms for Non-concave Bandit Optimization


Jul 09, 2021
Baihe Huang, Kaixuan Huang, Sham M. Kakade, Jason D. Lee, Qi Lei, Runzhe Wang, Jiaqi Yang


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Policy Mirror Descent for Regularized Reinforcement Learning: A Generalized Framework with Linear Convergence


May 24, 2021
Wenhao Zhan, Shicong Cen, Baihe Huang, Yuxin Chen, Jason D. Lee, Yuejie Chi


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FL-NTK: A Neural Tangent Kernel-based Framework for Federated Learning Convergence Analysis


May 11, 2021
Baihe Huang, Xiaoxiao Li, Zhao Song, Xin Yang

* ICML 2021 

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InstaHide's Sample Complexity When Mixing Two Private Images


Nov 24, 2020
Baihe Huang, Zhao Song, Runzhou Tao, Ruizhe Zhang, Danyang Zhuo


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