Chengshuai Shi

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 31

Top Topics

Multi Armed Bandits

Metropolis Hastings

Top Venues

IEEE Trans. Signal Process.

Publications

Chengshuai Shi, Kun Yang, Jing Yang, Cong Shen
Best Arm Identification for Prompt Learning under a Limited Budget. CoRR (2024)
Chengshuai Shi, Ruida Zhou, Kun Yang, Cong Shen
Harnessing the Power of Federated Learning in Federated Contextual Bandits. Trans. Mach. Learn. Res. 2024 (2024)
Kun Yang, Chengshuai Shi, Cong Shen
Teaching Reinforcement Learning Agents via Reinforcement Learning. CISS (2023)
Chengshuai Shi, Wei Xiong, Cong Shen, Jing Yang
Provably Efficient Offline Reinforcement Learning with Perturbed Data Sources. CoRR (2023)
Chengshuai Shi, Wei Xiong, Cong Shen, Jing Yang
Reward Teaching for Federated Multi-armed Bandits. ISIT (2023)
Chengshuai Shi, Wei Xiong, Cong Shen, Jing Yang
Reward Teaching for Federated Multi-armed Bandits. CoRR (2023)
Chengshuai Shi, Wei Xiong, Cong Shen, Jing Yang
Reward Teaching for Federated Multiarmed Bandits. IEEE Trans. Signal Process. 71 (2023)
Wei Xiong, Han Zhong, Chengshuai Shi, Cong Shen, Liwei Wang, Tong Zhang
Nearly Minimax Optimal Offline Reinforcement Learning with Linear Function Approximation: Single-Agent MDP and Markov Game. ICLR (2023)
Chengshuai Shi, Cong Shen, Nicholas D. Sidiropoulos
On High-dimensional and Low-rank Tensor Bandits. ISIT (2023)
Chengshuai Shi, Cong Shen, Nicholas D. Sidiropoulos
On High-dimensional and Low-rank Tensor Bandits. CoRR (2023)
Chengshuai Shi, Ruida Zhou, Kun Yang, Cong Shen
Harnessing the Power of Federated Learning in Federated Contextual Bandits. CoRR (2023)
Chengshuai Shi, Wei Xiong, Cong Shen, Jing Yang
Provably Efficient Offline Reinforcement Learning with Perturbed Data Sources. ICML (2023)
Wei Xiong, Han Zhong, Chengshuai Shi, Cong Shen, Liwei Wang, Tong Zhang
Nearly Minimax Optimal Offline Reinforcement Learning with Linear Function Approximation: Single-Agent MDP and Markov Game. CoRR (2022)
Wei Xiong, Han Zhong, Chengshuai Shi, Cong Shen, Tong Zhang
A Self-Play Posterior Sampling Algorithm for Zero-Sum Markov Games. CoRR (2022)
Wei Xiong, Han Zhong, Chengshuai Shi, Cong Shen, Tong Zhang
A Self-Play Posterior Sampling Algorithm for Zero-Sum Markov Games. ICML (2022)
Chengshuai Shi, Cong Shen
An Attackability Perspective on No-Sensing Adversarial Multi-player Multi-armed Bandits. ISIT (2021)
Chengshuai Shi, Wei Xiong, Cong Shen, Jing Yang
Heterogeneous Multi-player Multi-armed Bandits: Closing the Gap and Generalization. CoRR (2021)
Chengshuai Shi, Cong Shen
Federated Multi-Armed Bandits. CoRR (2021)
Chengshuai Shi, Haifeng Xu, Wei Xiong, Cong Shen
(Almost) Free Incentivized Exploration from Decentralized Learning Agents. CoRR (2021)
Chengshuai Shi, Cong Shen
Multi-Player Multi-Armed Bandits With Collision-Dependent Reward Distributions. IEEE Trans. Signal Process. 69 (2021)
Chengshuai Shi, Wei Xiong, Cong Shen, Jing Yang
Heterogeneous Multi-player Multi-armed Bandits: Closing the Gap and Generalization. NeurIPS (2021)
Chengshuai Shi, Cong Shen, Jing Yang
Federated Multi-armed Bandits with Personalization. CoRR (2021)
Chengshuai Shi, Cong Shen
Multi-player Multi-armed Bandits with Collision-Dependent Reward Distributions. CoRR (2021)
Chengshuai Shi, Cong Shen
Federated Multi-Armed Bandits. AAAI (2021)
Chengshuai Shi, Cong Shen, Jing Yang
Federated Multi-armed Bandits with Personalization. AISTATS (2021)
Chengshuai Shi, Haifeng Xu, Wei Xiong, Cong Shen
(Almost) Free Incentivized Exploration from Decentralized Learning Agents. NeurIPS (2021)
Chengshuai Shi, Cong Shen
On No-Sensing Adversarial Multi-Player Multi-Armed Bandits With Collision Communications. IEEE J. Sel. Areas Inf. Theory 2 (2) (2021)
Chengshuai Shi, Wei Xiong, Cong Shen, Jing Yang
Decentralized Multi-player Multi-armed Bandits with No Collision Information. CoRR (2020)
Chengshuai Shi, Cong Shen
On No-Sensing Adversarial Multi-player Multi-armed Bandits with Collision Communications. CoRR (2020)
Chengshuai Shi, Wei Xiong, Cong Shen, Jing Yang
Decentralized Multi-player Multi-armed Bandits with No Collision Information. AISTATS (2020)
Chengshuai Shi, Lixing Chen, Cong Shen, Linqi Song, Jie Xu
Privacy-Aware Edge Computing Based on Adaptive DNN Partitioning. GLOBECOM (2019)