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UMIX: Improving Importance Weighting for Subpopulation Shift via Uncertainty-Aware Mixup


Oct 10, 2022
Zongbo Han, Zhipeng Liang, Fan Yang, Liu Liu, Lanqing Li, Yatao Bian, Peilin Zhao, Bingzhe Wu, Changqing Zhang, Jianhua Yao

* NeurIPS 2022 

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Distributionally Robust Offline Reinforcement Learning with Linear Function Approximation


Sep 29, 2022
Xiaoteng Ma, Zhipeng Liang, Jose Blanchet, Mingwen Liu, Li Xia, Jiheng Zhang, Qianchuan Zhao, Zhengyuan Zhou

* First two authors contribute equally 

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On Private Online Convex Optimization: Optimal Algorithms in $\ell_p$-Geometry and High Dimensional Contextual Bandits


Jun 16, 2022
Yuxuan Han, Zhicong Liang, Zhipeng Liang, Yang Wang, Yuan Yao, Jiheng Zhang

* This is the extended version of the paper appeared in the 39th International Conference on Machine Learning (ICML 2022): Optimal Private Streaming SCO in $\ell_p$-geometry with Applications in High Dimensional Online Decision Making 

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DRFLM: Distributionally Robust Federated Learning with Inter-client Noise via Local Mixup


Apr 16, 2022
Bingzhe Wu, Zhipeng Liang, Yuxuan Han, Yatao Bian, Peilin Zhao, Junzhou Huang


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Generalized Linear Bandits with Local Differential Privacy


Jun 07, 2021
Yuxuan Han, Zhipeng Liang, Yang Wang, Jiheng Zhang


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Deep Reinforcement Learning in Portfolio Management


Nov 01, 2018
Zhipeng Liang, Hao Chen, Junhao Zhu, Kangkang Jiang, Yanran Li


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