Yi Shen

26 papers A* 3C 1Journal 15Unranked 7
YearRankTypeTitle / Venue / Authors
2026 J jnl
A federated learning framework for ethical dynamic treatment allocation across heterogeneous hospitals.
J. Biomed. Informatics
Xenia Konti, Nicoleta J. Economou-Zavlanos, Yi Shen, Giorgos Stamou, Armando Bedoya, Michael J. Pencina, Chuan Hong, Michael M. Zavlanos
2026 J jnl
Asymmetric Learning in Convex Games.
IEEE Trans. Autom. Control.
Zifan Wang, Xinlei Yi, Yi Shen, Michael M. Zavlanos, Karl Henrik Johansson
2025 A* conf
Enhancing Cooperative Multi-Agent Reinforcement Learning with State Modelling and Adversarial Exploration.
ICML
Andreas Kontogiannis, Konstantinos Papathanasiou, Yi Shen, Giorgos Stamou, Michael M. Zavlanos, George A. Vouros
2025 J jnl
Enhancing Cooperative Multi-Agent Reinforcement Learning with State Modelling and Adversarial Exploration.
CoRR
Andreas Kontogiannis, Konstantinos Papathanasiou, Yi Shen, Giorgos Stamou, Michael M. Zavlanos, George A. Vouros
2025 J jnl
FairPOT: Balancing AUC Performance and Fairness with Proportional Optimal Transport.
CoRR
Pengxi Liu, Yi Shen, Matthew M. Engelhard, Benjamin Alan Goldstein, Michael J. Pencina, Nicoleta J. Economou-Zavlanos, Michael M. Zavlanos
2025 J jnl
Group Distributionally Robust Machine Learning under Group Level Distributional Uncertainty.
CoRR
Xenia Konti, Yi Shen, Zifan Wang, Karl Henrik Johansson, Michael J. Pencina, Nicoleta J. Economou-Zavlanos, Michael M. Zavlanos
2024 J jnl
Boosting One-Point Derivative-Free Online Optimization via Residual Feedback.
IEEE Trans. Autom. Control.
Yan Zhang, Yi Zhou, Kaiyi Ji, Yi Shen, Michael M. Zavlanos
2024 — conf
Distributionally Robust Clustered Federated Learning: A Case Study in Healthcare.
CDC
Xenia Konti, Hans Riess, Manos Giannopoulos, Yi Shen, Michael J. Pencina, Nicoleta J. Economou-Zavlanos, Michael M. Zavlanos
2024 J jnl
Distributionally Robust Clustered Federated Learning: A Case Study in Healthcare.
CoRR
Xenia Konti, Hans Riess, Manos Giannopoulos, Yi Shen, Michael J. Pencina, Nicoleta J. Economou-Zavlanos, Michael M. Zavlanos
2024 J jnl
Inverse Reinforcement Learning from Non-Stationary Learning Agents.
CoRR
Kavinayan P. Sivakumar, Yi Shen, Zachary I. Bell, Scott Nivison, Boyuan Chen, Michael M. Zavlanos
2024 C conf
Learning of Nash Equilibria in Risk-Averse Games.
ACC
Zifan Wang, Yi Shen, Michael M. Zavlanos, Karl Henrik Johansson
2024 A* conf
Outlier-Robust Distributionally Robust Optimization via Unbalanced Optimal Transport.
NeurIPS
Zifan Wang, Yi Shen, Michael M. Zavlanos, Karl Henrik Johansson
2024 J jnl
Wasserstein Distributionally Robust Policy Evaluation and Learning for Contextual Bandits.
Trans. Mach. Learn. Res.
Yi Shen, Pan Xu, Michael M. Zavlanos
2023 — conf
Convergence Analysis of the Best Response Algorithm for Time-Varying Games.
CDC
Zifan Wang, Yi Shen, Michael M. Zavlanos, Karl Henrik Johansson
2023 J jnl
Convergence Analysis of the Best Response Algorithm for Time-Varying Games.
CoRR
Zifan Wang, Yi Shen, Michael M. Zavlanos, Karl Henrik Johansson
2023 — conf
Multi-Agent Reinforcement Learning for Resource Allocation in Large-Scale Robotic Warehouse Sortation Centers.
CDC
Yi Shen, Benjamin McClosky, Joseph W. Durham, Michael M. Zavlanos
2023 J jnl
Wasserstein Distributionally Robust Policy Evaluation and Learning for Contextual Bandits.
CoRR
Yi Shen, Pan Xu, Michael M. Zavlanos
2022 — conf
A Zeroth-Order Momentum Method for Risk-Averse Online Convex Games.
CDC
Zifan Wang, Yi Shen, Zachary I. Bell, Scott Nivison, Michael M. Zavlanos, Karl Henrik Johansson
2022 J jnl
A Zeroth-Order Momentum Method for Risk-Averse Online Convex Games.
CoRR
Zifan Wang, Yi Shen, Zachary I. Bell, Scott Nivison, Michael M. Zavlanos, Karl Henrik Johansson
2022 — conf
Risk-Averse Multi-Armed Bandits with Unobserved Confounders: A Case Study in Emotion Regulation in Mobile Health.
CDC
Yi Shen, Jessilyn Dunn, Michael M. Zavlanos
2022 J jnl
Risk-Averse Multi-Armed Bandits with Unobserved Confounders: A Case Study in Emotion Regulation in Mobile Health.
CoRR
Yi Shen, Jessilyn Dunn, Michael M. Zavlanos
2022 A* conf
Risk-Averse No-Regret Learning in Online Convex Games.
ICML
Zifan Wang, Yi Shen, Michael M. Zavlanos
2022 J jnl
Risk-Averse No-Regret Learning in Online Convex Games.
CoRR
Zifan Wang, Yi Shen, Michael M. Zavlanos
2021 — conf
Asynchronous Zeroth-Order Distributed Optimization with Residual Feedback.
CDC
Yi Shen, Yan Zhang, Scott Nivison, Zachary I. Bell, Michael M. Zavlanos
2021 — conf
Learning without Knowing: Unobserved Context in Continuous Transfer Reinforcement Learning.
L4DC
Chenyu Liu, Yan Zhang, Yi Shen, Michael M. Zavlanos
2021 J jnl
Learning without Knowing: Unobserved Context in Continuous Transfer Reinforcement Learning.
CoRR
Chenyu Liu, Yan Zhang, Yi Shen, Michael M. Zavlanos