Fast genetic algorithms. - Benjamin Doerr; Huu Phuoc Le; Régis Makhmara; Ta Duy Nguyen (GECCO, 2017)

Resource Based Cooperative Games: Optimization, Fairness and Stability. - Ta Duy Nguyen; Yair Zick (SAGT, 2018)

Threshold Task Games: Theory, Platform and Experiments. - Kobi Gal; Ta Duy Nguyen; Quang Nhat Tran; Yair Zick (AAMAS, 2020)

On Adversarial Bias and the Robustness of Fair Machine Learning. - Hongyan Chang; Ta Duy Nguyen; Sasi Kumar Murakonda; Ehsan Kazemi 001; Reza Shokri (CoRR, 2020)

Adaptive Accelerated (Extra-)Gradient Methods with Variance Reduction. - Zijian Liu 003; Ta Duy Nguyen; Alina Ene; Huy L. Nguyen (ICML, 2022)

On the Convergence of AdaGrad on $ R^{d}$: Beyond Convexity, Non-Asymptotic Rate and Acceleration. - Zijian Liu 003; Ta Duy Nguyen; Alina Ene; Huy L. 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)

On the Convergence of AdaGrad(Norm) on ℝd: Beyond Convexity, Non-Asymptotic Rate and Acceleration. - Zijian Liu 003; Ta Duy Nguyen; Alina Ene; Huy L. Nguyen (ICLR, 2023)

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

On the Generalization Error of Stochastic Mirror Descent for Quadratically-Bounded Losses: an Improved Analysis. - Ta Duy Nguyen; Alina Ene; Huy Nguyen (NeurIPS, 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)

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

Solving Linear Programs with Differential Privacy. - Alina Ene; Huy Le Nguyen; Ta Duy Nguyen; Adrian Vladu (CoRR, 2025)