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Beyond Uniform Lipschitz Condition in Differentially Private Optimization



Rudrajit Das , Satyen Kale , Zheng Xu , Tong Zhang , Sujay Sanghavi


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Model-based RL with Optimistic Posterior Sampling: Structural Conditions and Sample Complexity



Alekh Agarwal , Tong Zhang


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On the Unreasonable Effectiveness of Federated Averaging with Heterogeneous Data



Jianyu Wang , Rudrajit Das , Gauri Joshi , Satyen Kale , Zheng Xu , Tong Zhang


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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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An Indoor Environment Sensing and Localization System via mmWave Phased Array



Jie Li , Yifei Sun , Tong Zhang , Rui Wang


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Dimension Independent Generalization of DP-SGD for Overparameterized Smooth Convex Optimization



Yi-An Ma , Teodor Vanislavov Marinov , Tong Zhang


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Nearly Minimax Optimal Offline Reinforcement Learning with Linear Function Approximation: Single-Agent MDP and Markov Game



Wei Xiong , Han Zhong , Chengshuai Shi , Cong Shen , Liwei Wang , Tong Zhang


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MulT: An End-to-End Multitask Learning Transformer



Deblina Bhattacharjee , Tong Zhang , Sabine Süsstrunk , Mathieu Salzmann

* Accepted to CVPR 2022 

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Nearly Optimal Algorithms for Linear Contextual Bandits with Adversarial Corruptions



Jiafan He , Dongruo Zhou , Tong Zhang , Quanquan Gu

* 29 pages, 1 table 

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Leverage Your Local and Global Representations: A New Self-Supervised Learning Strategy



Tong Zhang , Congpei Qiu , Wei Ke , Sabine Süsstrunk , Mathieu Salzmann

* accepted in CVPR 2022 

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