3 papers
math.OC2026
Concave Certificates: Geometric Framework for Distributionally Robust Risk and Complexity Analysis
Hong T. M. Chu
Distributionally Robust (DR) optimization aims to certify worst-case risk within a Wasserstein uncertainty set. Current certifications typically rely either on global Lipschitz bou…
cs.LG2026
Tight Robustness Certificates and Wasserstein Distributional Attacks for Deep Neural Networks
Bach C. Le, Tung V. Dao, Binh T. Nguyen +1
Wasserstein distributionally robust optimization (WDRO) provides a framework for adversarial robustness, yet existing methods based on global Lipschitz continuity or strong duality…
eess.SY2025
A Robust Optimization Model for Cost-Efficient and Fast Electric Vehicle Charging with L2-norm Uncertainty
Trung Duc Tran, Ngoc-Doanh Nguyen, Hong T. M. Chu +3
In this paper, we propose a robust optimization model that addresses both the cost-efficiency and fast charging requirements for electric vehicles (EVs) at charging stations. By co…