Risk-Averse Certification of Bayesian Neural Networks
X. Zhang, Z. Wang, Y. Gao, L. Romao, A. Abate, M. Kwiatkowska
Risk-averse learning with delayed feedback
S. Wang, Z. Wang, K. H. Johansson, S. Hirche
First- and Zeroth-Order Learning in Asynchronous Games
Z. Wang, X. Yi, M. M. Zavlanos, K. H. Johansson
Projected Gradient Descent for Constrained Decision-Dependent Optimization
Z. Wang, C. Liu, T. Parisini, M. M. Zavlanos, and K. H. Johansson
Policy Evaluation in Distributional LQR (Extended Version)
Z. Wang, Y. Gao, S. Wang, M. M. Zavlanos, A. Abate, and K. H. Johansson
Risk-averse Learning with Non-Stationary Distributions
S. Wang, Z. Wang, X. Yi, M. M. Zavlanos, K. H. Johansson, S. Hirche
Outlier-Robust Distributionally Robust Optimization via Unbalanced Optimal Transport
Z. Wang, Y. Shen, M. M. Zavlanos, and K. H. Johansson
NeurIPS-24. Annual Conference on Neural Information Processing Systems, 2024.
Policy Evaluation in Distributional LQR
L4DC-23. Learning for Dynamics and Control, 2023. (Oral Presentation)
Risk-Averse No-Regret Learning in Online Convex Games
Z. Wang, Y. Shen, and M. M. Zavlanos
ICML-22. International Conference on Machine Learning, 2022.
Asymmetric Feedback Learning in Online Convex Games
Z. Wang, X. Yi, Y. Shen, M. M. Zavlanos, and K. H. Johansson
IEEE Transactions on Automatic Control. Accepted.
Constrained Optimization with Decision-Dependent Distributions
IEEE Transactions on Automatic Control, 2025.
Distributed Dynamic Event-Triggered Communication and Control for Multi-Agent Consensus: A Hybrid System Approach
Z. Wang, Y. Gao, Y. Liu, S. Wang, and L. Wu
Information Science. 618: 191-208. 2022.
Online Learning of Nash Equilibria in Risk-Averse Games
ACC-24. American Control Conference, 2024.
Convergence Analysis of the Best Response Algorithm for Time-Varying Games
CDC-23. IEEE Conference on Decision and Control, 2023.
A Zeroth-Order Momentum Method for Risk-Averse Online Convex Games
Z. Wang, Y. Shen, Z. I. Bell, S. Nivison, M. M. Zavlanos, and K. H. Johansson
CDC-22. IEEE Conference on Decision and Control, 2022.