Nguyen, Ta Duy

7 publications

NeurIPS 2025 Quasi-Self-Concordant Optimization with $\ell_{\infty}$ Lewis Weights Alina Ene, Ta Duy Nguyen, Adrian Vladu

ICML 2024 Multiplicative Weights Update, Area Convexity and Random Coordinate Descent for Densest Subgraph Problems Ta Duy Nguyen, Alina Ene

ICML 2023 High Probability Convergence of Stochastic Gradient Methods Zijian Liu, Ta Duy Nguyen, Thien Hang Nguyen, Alina Ene, Huy Nguyen

NeurIPS 2023 Improved Convergence in High Probability of Clipped Gradient Methods with Heavy Tailed Noise Ta Duy Nguyen, Thien H Nguyen, Alina Ene, Huy Nguyen

ICLR 2023 On the Convergence of AdaGrad(Norm) on $\mathbb{R}^d$: Beyond Convexity, Non-Asymptotic Rate and Acceleration Zijian Liu, Ta Duy Nguyen, Alina Ene, Huy Nguyen

NeurIPS 2023 On the Generalization Error of Stochastic Mirror Descent for Quadratically-Bounded Losses: An Improved Analysis Ta Duy Nguyen, Alina Ene, Huy Nguyen

ICML 2022 Adaptive Accelerated (Extra-)Gradient Methods with Variance Reduction Zijian Liu, Ta Duy Nguyen, Alina Ene, Huy Nguyen