1 citations · 1 across the 4 of their papers we have counts for
4 papers
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…
Wasserstein Robust Classification Error: Surrogate Loss Misalignment and Distributional Attacks
Bach C. Le, Tung V. Dao, Binh T. Nguyen +1
Wasserstein distributionally robust optimization (WDRO) provides a framework for evaluating model robustness through the worst-case expectation in the Wasserstein ball around a ref…
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…
Implicit Regularization via Spectral Neural Networks and Non-linear Matrix Sensing
Hong T. M. Chu, Subhro Ghosh, Chi Thanh Lam +1
The phenomenon of implicit regularization has attracted interest in recent years as a fundamental aspect of the remarkable generalizing ability of neural networks. In a nutshell, i…