Dat Ba Tran

According to our database, Dat Ba Tran authored at least 8 papers between 2023 and 2026.

Collaborative distances:

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

2026

Diversity-Aware Reverse Kullback-Leibler Divergence for Large Language Model Distillation.

Hoang-Chau Luong, Dat Ba Tran, Lingwei Chen

CoRR, April, 2026

A new inexact gradient descent method with applications to nonsmooth convex optimization.

Pham Duy Khanh, Boris S. Mordukhovich, Dat Ba Tran

Optim. Methods Softw., March, 2026

Convergence of First-Order Algorithms with Momentum from the Perspective of an Inexact Gradient Descent Method.

Pham Duy Khanh, Boris S. Mordukhovich, Dat Ba Tran

J. Optim. Theory Appl., January, 2026

2025

Inexact proximal methods for weakly convex functions.

Pham Duy Khanh, Boris S. Mordukhovich, Vo Thanh Phat, Dat Ba Tran

J. Glob. Optim., March, 2025

2024

Inexact Reduced Gradient Methods in Nonconvex Optimization.

Pham Duy Khanh, Boris S. Mordukhovich, Dat Ba Tran

J. Optim. Theory Appl., December, 2024

Globally convergent coderivative-based generalized Newton methods in nonsmooth optimization.

Pham Duy Khanh, Boris S. Mordukhovich, Vo Thanh Phat, Dat Ba Tran

Math. Program., May, 2024

Fundamental Convergence Analysis of Sharpness-Aware Minimization.

Pham Duy Khanh, Hoang-Chau Luong, Boris S. Mordukhovich, Dat Ba Tran

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

Generalized damped Newton algorithms in nonsmooth optimization via second-order subdifferentials.

Pham Duy Khanh, Boris S. Mordukhovich, Vo Thanh Phat, Dat Ba Tran

J. Glob. Optim., May, 2023