Hong T. M. Chu

According to our database, Hong T. M. Chu authored at least 8 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Wasserstein Distributionally Robust Optimization and Its Tractable Regularization Formulation.

Hong T. M. Chu, Meixia Lin, Kim-Chuan Toh

J. Optim. Theory Appl., February, 2026

Concave Certificates: Geometric Framework for Distributionally Robust Risk and Complexity Analysis.

Hong T. M. Chu

CoRR, January, 2026

2025

Tight Robustness Certificates and Wasserstein Distributional Attacks for Deep Neural Networks.

Bach C. Le, Tung V. Dao, Binh T. Nguyen, Hong T. M. Chu

CoRR, October, 2025

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, Laurent El Ghaoui, Luca Ambrosino, Giuseppe Calafiore

CoRR, February, 2025

2024

A Corrected Inexact Proximal Augmented Lagrangian Method with a Relative Error Criterion for a Class of Group-Quadratic Regularized Optimal Transport Problems.

Lei Yang, Ling Liang, Hong T. M. Chu, Kim-Chuan Toh

J. Sci. Comput., June, 2024

Implicit Regularization via Spectral Neural Networks and Non-linear Matrix Sensing.

Hong T. M. Chu, Subhro Ghosh, Chi Thanh Lam, Soumendu Sundar Mukherjee

CoRR, 2024

2023

An efficient implementable inexact entropic proximal point algorithm for a class of linear programming problems.

Hong T. M. Chu, Ling Liang, Kim-Chuan Toh, Lei Yang

Comput. Optim. Appl., May, 2023

2022

On Regularized Square-root Regression Problems: Distributionally Robust Interpretation and Fast Computations.

Hong T. M. Chu, Kim-Chuan Toh, Yangjing Zhang

J. Mach. Learn. Res., 2022