Improved Worst-Group Robustness via Classifier Retraining on Independent Splits. - Thien Hang Nguyen; Hongyang R. Zhang; Huy Le Nguyen (CoRR, 2022)

META-STORM: Generalized Fully-Adaptive Variance Reduced SGD for Unbounded Functions. - Zijian Liu 003; Ta Duy Nguyen; Thien Hang Nguyen; Alina Ene; Huy L. Nguyen (CoRR, 2022)

High Probability Convergence of Stochastic Gradient Methods. - Zijian Liu 003; Ta Duy Nguyen; Thien Hang Nguyen; Alina Ene; Huy Nguyen (ICML, 2023)

Improved Convergence in High Probability of Clipped Gradient Methods with Heavy Tailed Noise. - Ta Duy Nguyen; Thien Hang Nguyen; Alina Ene; Huy Nguyen (NeurIPS, 2023)

High Probability Convergence of Stochastic Gradient Methods. - Zijian Liu 003; Ta Duy Nguyen; Thien Hang Nguyen; Alina Ene; Huy Le Nguyen (CoRR, 2023)

Improved Group Robustness via Classifier Retraining on Independent Splits. - Thien Hang Nguyen; Hongyang R. Zhang; Huy L. Nguyen (Trans. Mach. Learn. Res., 2023)

Efficient Adaptive Optimization via Subset-Norm and Subspace-Momentum: Fast, Memory-Reduced Training with Convergence Guarantees. - Thien Hang Nguyen; Huy Le Nguyen (CoRR, 2024)