Xingyu Zhou

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 29

Top Topics

Multi Armed Bandits

Function Approximation

Markov Decision Process

Top Venues

Publications

Sayak Ray Chowdhury, Xingyu Zhou, Nagarajan Natarajan
Differentially Private Reward Estimation with Preference Feedback. AISTATS (2024)
Arnob Ghosh, Xingyu Zhou, Ness B. Shroff
Towards Achieving Sub-linear Regret and Hard Constraint Violation in Model-free RL. AISTATS (2024)
Fengjiao Li, Xingyu Zhou, Bo Ji
Distributed Linear Bandits With Differential Privacy. IEEE Trans. Netw. Sci. Eng. 11 (3) (2024)
Xingyu Zhou, Sayak Ray Chowdhury
On Differentially Private Federated Linear Contextual Bandits. ICLR (2024)
Fengjiao Li, Xingyu Zhou, Bo Ji
(Private) Kernelized Bandits with Distributed Biased Feedback. SIGMETRICS (Abstracts) (2023)
Fengjiao Li, Xingyu Zhou, Bo Ji
(Private) Kernelized Bandits with Distributed Biased Feedback. CoRR (2023)
Fengjiao Li, Xingyu Zhou, Bo Ji
(Private) Kernelized Bandits with Distributed Biased Feedback. Proc. ACM Meas. Anal. Comput. Syst. 7 (1) (2023)
Honghao Wei, Arnob Ghosh, Ness B. Shroff, Lei Ying, Xingyu Zhou
Provably Efficient Model-Free Algorithms for Non-stationary CMDPs. CoRR (2023)
Yulian Wu, Xingyu Zhou, Sayak Ray Chowdhury, Di Wang
Differentially Private Episodic Reinforcement Learning with Heavy-tailed Rewards. CoRR (2023)
Yulian Wu, Xingyu Zhou, Sayak Ray Chowdhury, Di Wang
Differentially Private Episodic Reinforcement Learning with Heavy-tailed Rewards. ICML (2023)
Honghao Wei, Arnob Ghosh, Ness B. Shroff, Lei Ying, Xingyu Zhou
Provably Efficient Model-Free Algorithms for Non-stationary CMDPs. AISTATS (2023)
Sayak Ray Chowdhury, Xingyu Zhou
Distributed Differential Privacy in Multi-Armed Bandits. ICLR (2023)
Yulian Wu, Xingyu Zhou, Youming Tao, Di Wang
On Private and Robust Bandits. NeurIPS (2023)
Arnob Ghosh, Xingyu Zhou, Ness B. Shroff
Achieving Sub-linear Regret in Infinite Horizon Average Reward Constrained MDP with Linear Function Approximation. ICLR (2023)
Xingyu Zhou, Sayak Ray Chowdhury
On Differentially Private Federated Linear Contextual Bandits. CoRR (2023)
Sayak Ray Chowdhury, Xingyu Zhou, Nagarajan Natarajan
Differentially Private Reward Estimation with Preference Feedback. CoRR (2023)
Xingyu Zhou
Differentially Private Reinforcement Learning with Linear Function Approximation. Proc. ACM Meas. Anal. Comput. Syst. 6 (1) (2022)
Yuntian Deng, Xingyu Zhou, Arnob Ghosh, Abhishek Gupta, Ness B. Shroff
Interference Constrained Beam Alignment for Time-Varying Channels via Kernelized Bandits. WiOpt (2022)
Sayak Ray Chowdhury, Xingyu Zhou
Shuffle Private Linear Contextual Bandits. ICML (2022)
Fengjiao Li, Xingyu Zhou, Bo Ji
Differentially Private Linear Bandits with Partial Distributed Feedback. WiOpt (2022)
Arnob Ghosh, Xingyu Zhou, Ness B. Shroff
Provably Efficient Model-Free Constrained RL with Linear Function Approximation. CoRR (2022)
Arnob Ghosh, Xingyu Zhou, Ness B. Shroff
Provably Efficient Model-Free Constrained RL with Linear Function Approximation. NeurIPS (2022)
Sayak Ray Chowdhury, Xingyu Zhou
Distributed Differential Privacy in Multi-Armed Bandits. CoRR (2022)
Sayak Ray Chowdhury, Xingyu Zhou
Differentially Private Regret Minimization in Episodic Markov Decision Processes. AAAI (2022)
Yuntian Deng, Xingyu Zhou, Arnob Ghosh, Abhishek Gupta, Ness B. Shroff
Interference Constrained Beam Alignment for Time-Varying Channels via Kernelized Bandits. CoRR (2022)
Yuntian Deng, Xingyu Zhou, Baekjin Kim, Ambuj Tewari, Abhishek Gupta, Ness B. Shroff
Weighted Gaussian Process Bandits for Non-stationary Environments. AISTATS (2022)
Xingyu Zhou, Bo Ji
On Kernelized Multi-Armed Bandits with Constraints. CoRR (2022)
Fengjiao Li, Xingyu Zhou, Bo Ji
Differentially Private Linear Bandits with Partial Distributed Feedback. CoRR (2022)
Xingyu Zhou, Bo Ji
On Kernelized Multi-Armed Bandits with Constraints. NeurIPS (2022)