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Yi Shen 0011
Person information
- affiliation: Duke University, Department of Mechanical Engineering and Materials Science, Durham, NC, USA
Other persons with the same name
- Yi Shen — disambiguation page
- Yi Shen 0001
— Harbin Institute of Technology, Department of Control Science and Engineering, Harbin, China
- Yi Shen 0002 — Huazhong University of Science and Technology, Department of Control Science and Engineering, Wuhan, China
- Yi Shen 0003
- Yi Shen 0004
- Yi Shen 0005 — University of North Carolina, Charlotte, NC, USA
- Yi Shen 0006
- Yi Shen 0007
- Yi Shen 0008
- Yi Shen 0009
- Yi Shen 0012 — Zhejiang University, College of Computer Science and Technology, Hangzhou, China
- Yi Shen 0013
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2020 – today
- 2024
- [j2]Yan Zhang
Boosting One-Point Derivative-Free Online Optimization via Residual Feedback. IEEE Trans. Autom. Control. 69(9): 6309-6316 (2024) - [j1]Yi Shen, Pan Xu, Michael M. Zavlanos:
Wasserstein Distributionally Robust Policy Evaluation and Learning for Contextual Bandits. Trans. Mach. Learn. Res. 2024 (2024) - [c8]Zifan Wang, Yi Shen, Michael M. Zavlanos, Karl Henrik Johansson:
Learning of Nash Equilibria in Risk-Averse Games. ACC 2024: 3270-3275 - [i8]Xenia Konti, Hans Riess, Manos Giannopoulos, Yi Shen, Michael J. Pencina, Nicoleta J. Economou-Zavlanos, Michael M. Zavlanos:
Distributionally Robust Clustered Federated Learning: A Case Study in Healthcare. CoRR abs/2410.07039 (2024) - [i7]Kavinayan P. Sivakumar, Yi Shen, Zachary I. Bell, Scott Nivison, Boyuan Chen, Michael M. Zavlanos:
Inverse Reinforcement Learning from Non-Stationary Learning Agents. CoRR abs/2410.14135 (2024) - 2023
- [c7]Zifan Wang, Yi Shen, Michael M. Zavlanos, Karl Henrik Johansson:
Convergence Analysis of the Best Response Algorithm for Time-Varying Games. CDC 2023: 1144-1149 - [c6]Yi Shen, Benjamin McClosky, Joseph W. Durham, Michael M. Zavlanos:
Multi-Agent Reinforcement Learning for Resource Allocation in Large-Scale Robotic Warehouse Sortation Centers. CDC 2023: 7137-7143 - [i6]Zifan Wang, Yi Shen, Michael M. Zavlanos, Karl Henrik Johansson:
Convergence Analysis of the Best Response Algorithm for Time-Varying Games. CoRR abs/2309.00307 (2023) - [i5]Yi Shen, Pan Xu, Michael M. Zavlanos:
Wasserstein Distributionally Robust Policy Evaluation and Learning for Contextual Bandits. CoRR abs/2309.08748 (2023) - 2022
- [c5]Yi Shen, Jessilyn Dunn
Risk-Averse Multi-Armed Bandits with Unobserved Confounders: A Case Study in Emotion Regulation in Mobile Health. CDC 2022: 144-149 - [c4]Zifan Wang, Yi Shen, Zachary I. Bell, Scott Nivison, Michael M. Zavlanos, Karl Henrik Johansson:
A Zeroth-Order Momentum Method for Risk-Averse Online Convex Games. CDC 2022: 5179-5184 - [c3]Zifan Wang, Yi Shen, Michael M. Zavlanos:
Risk-Averse No-Regret Learning in Online Convex Games. ICML 2022: 22999-23017 - [i4]Zifan Wang, Yi Shen, Michael M. Zavlanos:
Risk-Averse No-Regret Learning in Online Convex Games. CoRR abs/2203.08957 (2022) - [i3]Zifan Wang, Yi Shen, Zachary I. Bell, Scott Nivison, Michael M. Zavlanos, Karl Henrik Johansson:
A Zeroth-Order Momentum Method for Risk-Averse Online Convex Games. CoRR abs/2209.02838 (2022) - [i2]Yi Shen, Jessilyn Dunn, Michael M. Zavlanos:
Risk-Averse Multi-Armed Bandits with Unobserved Confounders: A Case Study in Emotion Regulation in Mobile Health. CoRR abs/2209.04356 (2022) - 2021
- [c2]Yi Shen, Yan Zhang, Scott Nivison, Zachary I. Bell, Michael M. Zavlanos:
Asynchronous Zeroth-Order Distributed Optimization with Residual Feedback. CDC 2021: 3349-3354 - [c1]Chenyu Liu, Yan Zhang, Yi Shen, Michael M. Zavlanos:
Learning without Knowing: Unobserved Context in Continuous Transfer Reinforcement Learning. L4DC 2021: 791-802 - [i1]Chenyu Liu, Yan Zhang, Yi Shen, Michael M. Zavlanos:
Learning without Knowing: Unobserved Context in Continuous Transfer Reinforcement Learning. CoRR abs/2106.03833 (2021)
Coauthor Index
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last updated on 2024-12-13 19:13 CET by the dblp team
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