Yi Shen

According to our database, Yi Shen authored at least 13 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2024

Boosting One-Point Derivative-Free Online Optimization via Residual Feedback.

Yan Zhang, Yi Zhou, Kaiyi Ji, Yi Shen, Michael M. Zavlanos

IEEE Trans. Autom. Control., September, 2024

Wasserstein Distributionally Robust Policy Evaluation and Learning for Contextual Bandits.

Yi Shen, Pan Xu, Michael M. Zavlanos

Trans. Mach. Learn. Res., 2024

Inverse Reinforcement Learning from Non-Stationary Learning Agents.

Kavinayan P. Sivakumar, Yi Shen, Zachary I. Bell, Scott Nivison, Boyuan Chen, Michael M. Zavlanos

CoRR, 2024

Distributionally Robust Clustered Federated Learning: A Case Study in Healthcare.

Xenia Konti, Hans Riess, Manos Giannopoulos, Yi Shen, Michael J. Pencina, Nicoleta J. Economou-Zavlanos, Michael M. Zavlanos

CoRR, 2024

Outlier-Robust Distributionally Robust Optimization via Unbalanced Optimal Transport.

Zifan Wang, Yi Shen, Michael M. Zavlanos, Karl Henrik Johansson

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Learning of Nash Equilibria in Risk-Averse Games.

Zifan Wang, Yi Shen, Michael M. Zavlanos, Karl Henrik Johansson

Proceedings of the American Control Conference, 2024

2023

Convergence Analysis of the Best Response Algorithm for Time-Varying Games.

Zifan Wang, Yi Shen, Michael M. Zavlanos, Karl Henrik Johansson

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Multi-Agent Reinforcement Learning for Resource Allocation in Large-Scale Robotic Warehouse Sortation Centers.

Yi Shen, Benjamin McClosky, Joseph W. Durham, Michael M. Zavlanos

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022

Risk-Averse No-Regret Learning in Online Convex Games.

Zifan Wang, Yi Shen, Michael M. Zavlanos

Proceedings of the International Conference on Machine Learning, 2022

A Zeroth-Order Momentum Method for Risk-Averse Online Convex Games.

Zifan Wang, Yi Shen, Zachary I. Bell, Scott Nivison, Michael M. Zavlanos, Karl Henrik Johansson

Proceedings of the 61st IEEE Conference on Decision and Control, 2022

Risk-Averse Multi-Armed Bandits with Unobserved Confounders: A Case Study in Emotion Regulation in Mobile Health.

Yi Shen, Jessilyn Dunn, Michael M. Zavlanos

Proceedings of the 61st IEEE Conference on Decision and Control, 2022

2021

Learning without Knowing: Unobserved Context in Continuous Transfer Reinforcement Learning.

Chenyu Liu, Yan Zhang, Yi Shen, Michael M. Zavlanos

Proceedings of the 3rd Annual Conference on Learning for Dynamics and Control, 2021

Asynchronous Zeroth-Order Distributed Optimization with Residual Feedback.

Yi Shen, Yan Zhang, Scott Nivison, Zachary I. Bell, Michael M. Zavlanos

Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021