| Federated multi-armed bandits with personalization C Shi, C Shen, J Yang International conference on artificial intelligence and statistics, 2917-2925, 2021 | 56 | 2021 |
| Federated multi-armed bandits C Shi, C Shen 35th AAAI Conference on Artificial Intelligence 35 (11), https://www.aaai …, 2021 | 50 | 2021 |
| 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 | 30 | 2020 |
| 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 | 23 | 2019 |
| 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 | 19 | 2022 |
| 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 | 11 | 2021 |
| A Self-Play Posterior Sampling Algorithm for Zero-Sum Markov Games W Xiong, H Zhong, C Shi, C Shen, T Zhang ICML 2022, 2022 | 10 | 2022 |
| 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 | 9 | 2021 |
| Multi-player multi-armed bandits with collision-dependent reward distributions C Shi, C Shen IEEE Transactions on Signal Processing 69, 4385-4402, 2021 | 7 | 2021 |
| (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 | 4* | 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 | 1 | 2021 |
| Provably Efficient Offline Reinforcement Learning with Perturbed Data Sources C Shi, W Xiong, C Shen, J Yang ICML 2023, 2023 | | 2023 |
| On High-dimensional and Low-rank Tensor Bandits C Shi, C Shen, ND Sidiropoulos arXiv preprint arXiv:2305.03884, 2023 | | 2023 |
| Reward Teaching for Federated Multi-armed Bandits C Shi, W Xiong, C Shen, J Yang arXiv preprint arXiv:2305.02441, 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 |
Cong ShenUniversity of VirginiaVerified email at virginia.edu
