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Xingyu Zhou

Provably Efficient Model-Free Algorithms for Non-stationary CMDPs

Mar 10, 2023
Honghao Wei, Arnob Ghosh, Ness Shroff, Lei Ying, Xingyu Zhou

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* AISTATS 2023

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On Differentially Private Federated Linear Contextual Bandits

Feb 27, 2023
Xingyu Zhou, Sayak Ray Chowdhury

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(Private) Kernelized Bandits with Distributed Biased Feedback

Feb 07, 2023
Fengjiao Li, Xingyu Zhou, Bo Ji

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* This work has been accepted by ACM SIGMETRICS 2023

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On Private and Robust Bandits

Feb 06, 2023
Yulian Wu, Xingyu Zhou, Youming Tao, Di Wang

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Differentially Private Linear Bandits with Partial Distributed Feedback

Jul 12, 2022
Fengjiao Li, Xingyu Zhou, Bo Ji

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* 55 pages, a short version has been accepted by IEEE WiOpt'22

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Provably Efficient Model-Free Constrained RL with Linear Function Approximation

Jun 23, 2022
Arnob Ghosh, Xingyu Zhou, Ness Shroff

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Model-Driven Deep Learning-Based MIMO-OFDM Detector: Design, Simulation, and Experimental Results

Jun 22, 2022
Xingyu Zhou, Jing Zhang, Chen-Wei Syu, Chao-Kai Wen, Jun Zhang, Shi Jin

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* 31 pages, 13 figures, 4 tables. This paper has been accepted for publication by the IEEE Transactions on Communications. The code is available at https://github.com/STARainZ/CG-OAMP-NET

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