Asynchronous Zeroth-Order Distributed Optimization with Residual Feedback. - Yi Shen 011; Yan Zhang 043; Scott Nivison; Zachary I. Bell; Michael M. Zavlanos (CDC, 2021)

Learning without Knowing: Unobserved Context in Continuous Transfer Reinforcement Learning. - Chenyu Liu; Yan Zhang 043; Yi Shen 011; Michael M. Zavlanos (L4DC, 2021)

Risk-Averse Multi-Armed Bandits with Unobserved Confounders: A Case Study in Emotion Regulation in Mobile Health. - Yi Shen 011; Jessilyn Dunn; Michael M. Zavlanos (CDC, 2022)

A Zeroth-Order Momentum Method for Risk-Averse Online Convex Games. - Zifan Wang 002; Yi Shen 011; Zachary I. Bell; Scott Nivison; Michael M. Zavlanos; Karl Henrik Johansson (CDC, 2022)

Risk-Averse No-Regret Learning in Online Convex Games. - Zifan Wang 002; Yi Shen 011; Michael M. Zavlanos (ICML, 2022)

Multi-Agent Reinforcement Learning for Resource Allocation in Large-Scale Robotic Warehouse Sortation Centers. - Yi Shen 011; Benjamin McClosky; Joseph W. Durham; Michael M. Zavlanos (CDC, 2023)

Convergence Analysis of the Best Response Algorithm for Time-Varying Games. - Zifan Wang 002; Yi Shen 011; Michael M. Zavlanos; Karl Henrik Johansson (CDC, 2023)

Learning of Nash Equilibria in Risk-Averse Games. - Zifan Wang 002; Yi Shen 011; Michael M. Zavlanos; Karl Henrik Johansson (ACC, 2024)

Distributionally Robust Clustered Federated Learning: A Case Study in Healthcare. - Xenia Konti; Hans Riess; Manos Giannopoulos; Yi Shen 011; Michael J. Pencina; Nicoleta J. Economou-Zavlanos; Michael M. Zavlanos (CDC, 2024)

Outlier-Robust Distributionally Robust Optimization via Unbalanced Optimal Transport. - Zifan Wang 002; Yi Shen 011; Michael M. Zavlanos; Karl Henrik Johansson (NeurIPS, 2024)

Inverse Reinforcement Learning from Non-Stationary Learning Agents. - Kavinayan P. Sivakumar; Yi Shen 011; Zachary I. Bell; Scott Nivison; Boyuan Chen 001; Michael M. Zavlanos (CoRR, 2024)

Wasserstein Distributionally Robust Policy Evaluation and Learning for Contextual Bandits. - Yi Shen 011; Pan Xu; Michael M. Zavlanos (Trans. Mach. Learn. Res., 2024)

Boosting One-Point Derivative-Free Online Optimization via Residual Feedback. - Yan Zhang 043; Yi Zhou 017; Kaiyi Ji; Yi Shen 011; Michael M. Zavlanos (IEEE Trans. Autom. Control., 2024)

Enhancing Cooperative Multi-Agent Reinforcement Learning with State Modelling and Adversarial Exploration. - Andreas Kontogiannis; Konstantinos Papathanasiou; Yi Shen 011; Giorgos Stamou; Michael M. Zavlanos; George A. Vouros (CoRR, 2025)