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Chengshuai Shi
Chengshuai Shi
Other names时成帅
Electrical and Computer Engineering, University of Virginia
Verified email at virginia.edu - Homepage
Title
Cited by
Cited by
Year
Federated multi-armed bandits with personalization
C Shi, C Shen, J Yang
International Conference on Artificial Intelligence and Statistics, 2917-2925, 2021
772021
Federated multi-armed bandits
C Shi, C Shen
35th AAAI Conference on Artificial Intelligence 35 (11), https://www.aaai …, 2021
732021
Decentralized multi-player multi-armed bandits with no collision information
C Shi, W Xiong, C Shen, J Yang
International Conference on Artificial Intelligence and Statistics, 1519-1528, 2020
372020
Nearly minimax optimal offline reinforcement learning with linear function approximation: Single-agent mdp and markov game
W Xiong, H Zhong, C Shi, C Shen, L Wang, T Zhang
arXiv preprint arXiv:2205.15512, 2022
362022
Privacy-aware edge computing based on adaptive DNN partitioning
C Shi, L Chen, C Shen, L Song, J Xu
2019 IEEE Global Communications Conference (GLOBECOM), 1-6, 2019
272019
A Self-Play Posterior Sampling Algorithm for Zero-Sum Markov Games
W Xiong, H Zhong, C Shi, C Shen, T Zhang
ICML 2022, 2022
202022
Heterogeneous multi-player multi-armed bandits: Closing the gap and generalization
C Shi, W Xiong, C Shen, J Yang
Advances in neural information processing systems 34, 22392-22404, 2021
192021
Multi-player multi-armed bandits with collision-dependent reward distributions
C Shi, C Shen
IEEE Transactions on Signal Processing 69, 4385-4402, 2021
112021
On no-sensing adversarial multi-player multi-armed bandits with collision communications
C Shi, C Shen
IEEE Journal on Selected Areas in Information Theory 2 (2), 515-533, 2021
102021
(Almost) free incentivized exploration from decentralized learning agents
C Shi, H Xu, W Xiong, C Shen
Advances in Neural Information Processing Systems 34, 560-571, 2021
5*2021
An Attackability Perspective on No-Sensing Adversarial Multi-player Multi-armed Bandits
C Shi, C Shen
2021 IEEE International Symposium on Information Theory (ISIT), 533-538, 2021
22021
On high-dimensional and low-rank tensor bandits
C Shi, C Shen, ND Sidiropoulos
2023 IEEE International Symposium on Information Theory (ISIT), 1460-1465, 2023
12023
Provably Efficient Offline Reinforcement Learning with Perturbed Data Sources
C Shi, W Xiong, C Shen, J Yang
ICML 2023, 2023
12023
Best Arm Identification for Prompt Learning under a Limited Budget
C Shi, K Yang, J Yang, C Shen
arXiv preprint arXiv:2402.09723, 2024
2024
Harnessing the Power of Federated Learning in Federated Contextual Bandits
C Shi, R Zhou, K Yang, C Shen
arXiv preprint arXiv:2312.16341, 2023
2023
Reward Teaching for Federated Multiarmed Bandits
C Shi, W Xiong, C Shen, J Yang
IEEE Transactions on Signal Processing 71, 4407-4422, 2023
2023
Teaching Reinforcement Learning Agents via Reinforcement Learning
K Yang, C Shi, C Shen
2023 57th Annual Conference on Information Sciences and Systems (CISS), 1-6, 2023
2023
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