Ta Duy Nguyen

According to our database, Ta Duy Nguyen authored at least 18 papers between 2017 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Solving Positive Linear Programs with Differential Privacy.

Alina Ene, Huy L. Nguyen, Ta Duy Nguyen, Adrian Vladu

CoRR, April, 2026

Adaptive Power Iteration Method for Differentially Private PCA.

Ta Duy Nguyen, Alina Ene, Huy Le Nguyen

CoRR, February, 2026

2025

Quasi-Self-Concordant Optimization with Lewis Weights.

Alina Ene, Ta Duy Nguyen, Adrian Vladu

CoRR, October, 2025

Improved ℓ_p Regression via Iteratively Reweighted Least Squares.

Alina Ene, Ta Duy Nguyen, Adrian Vladu

CoRR, October, 2025

Quasi-Self-Concordant Optimization with ℓ_∞ Lewis Weights.

Alina Ene, Ta Duy Nguyen, Adrian Vladu

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Solving Linear Programs with Differential Privacy.

Alina Ene, Huy Le Nguyen, Ta Duy Nguyen, Adrian Vladu

Proceedings of the Approximation, 2025

2024

Multiplicative Weights Update, Area Convexity and Random Coordinate Descent for Densest Subgraph Problems.

Ta Duy Nguyen, Alina Ene

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Improved Convergence in High Probability of Clipped Gradient Methods with Heavy Tailed Noise.

Ta Duy Nguyen, Thien Hang Nguyen, Alina Ene, Huy L. Nguyen

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

On the Generalization Error of Stochastic Mirror Descent for Quadratically-Bounded Losses: an Improved Analysis.

Ta Duy Nguyen, Alina Ene, Huy L. Nguyen

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

High Probability Convergence of Stochastic Gradient Methods.

Zijian Liu, Ta Duy Nguyen, Thien Hang Nguyen, Alina Ene, Huy L. Nguyen

Proceedings of the International Conference on Machine Learning, 2023

On the Convergence of AdaGrad(Norm) on ℝ^d: Beyond Convexity, Non-Asymptotic Rate and Acceleration.

Zijian Liu, Ta Duy Nguyen, Alina Ene, Huy L. Nguyen

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

META-STORM: Generalized Fully-Adaptive Variance Reduced SGD for Unbounded Functions.

Zijian Liu, Ta Duy Nguyen, Thien Hang Nguyen, Alina Ene, Huy L. Nguyen

CoRR, 2022

On the Convergence of AdaGrad on $\R^{d}$: Beyond Convexity, Non-Asymptotic Rate and Acceleration.

Zijian Liu, Ta Duy Nguyen, Alina Ene, Huy L. Nguyen

CoRR, 2022

Adaptive Accelerated (Extra-)Gradient Methods with Variance Reduction.

Zijian Liu, Ta Duy Nguyen, Alina Ene, Huy L. Nguyen

Proceedings of the International Conference on Machine Learning, 2022

2020

On Adversarial Bias and the Robustness of Fair Machine Learning.

Hongyan Chang, Ta Duy Nguyen, Sasi Kumar Murakonda, Ehsan Kazemi, Reza Shokri

CoRR, 2020

Threshold Task Games: Theory, Platform and Experiments.

Kobi Gal, Ta Duy Nguyen, Quang Nhat Tran, Yair Zick

Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

2018

Resource Based Cooperative Games: Optimization, Fairness and Stability.

Ta Duy Nguyen, Yair Zick

Proceedings of the Algorithmic Game Theory - 11th International Symposium, 2018

2017

Fast genetic algorithms.

Benjamin Doerr, Huu Phuoc Le, Régis Makhmara, Ta Duy Nguyen

Proceedings of the Genetic and Evolutionary Computation Conference, 2017