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2020 – today
- 2024
[c9]Ta Duy Nguyen, Alina Ene:
Multiplicative Weights Update, Area Convexity and Random Coordinate Descent for Densest Subgraph Problems. ICML 2024- [i7]Ta Duy Nguyen, Alina Ene:
Multiplicative Weights Update, Area Convexity and Random Coordinate Descent for Densest Subgraph Problems. CoRR abs/2405.18809 (2024) - 2023
- [c8]Zijian Liu, Ta Duy Nguyen, Alina Ene, Huy L. Nguyen:
On the Convergence of AdaGrad(Norm) on ℝd: Beyond Convexity, Non-Asymptotic Rate and Acceleration. ICLR 2023 - [c7]Zijian Liu, Ta Duy Nguyen, Thien Hang Nguyen, Alina Ene
, Huy Nguyen:
High Probability Convergence of Stochastic Gradient Methods. ICML 2023: 21884-21914 - [c6]Ta Duy Nguyen, Alina Ene, Huy Nguyen:
On the Generalization Error of Stochastic Mirror Descent for Quadratically-Bounded Losses: an Improved Analysis. NeurIPS 2023 - [c5]Ta Duy Nguyen, Thien Hang Nguyen, Alina Ene, Huy Nguyen:
Improved Convergence in High Probability of Clipped Gradient Methods with Heavy Tailed Noise. NeurIPS 2023 - [i6]Zijian Liu, Ta Duy Nguyen, Thien Hang Nguyen, Alina Ene, Huy Le Nguyen:
High Probability Convergence of Stochastic Gradient Methods. CoRR abs/2302.14843 (2023) - 2022
- [c4]Zijian Liu, Ta Duy Nguyen, Alina Ene, Huy L. Nguyen:
Adaptive Accelerated (Extra-)Gradient Methods with Variance Reduction. ICML 2022: 13947-13994 - [i5]Zijian Liu, Ta Duy Nguyen, Alina Ene, Huy L. Nguyen:
Adaptive Accelerated (Extra-)Gradient Methods with Variance Reduction. CoRR abs/2201.12302 (2022) - [i4]Zijian Liu, Ta Duy Nguyen, Alina Ene, Huy L. Nguyen:
On the Convergence of AdaGrad on $\R^{d}$: Beyond Convexity, Non-Asymptotic Rate and Acceleration. CoRR abs/2209.14827 (2022) - [i3]Zijian Liu, Ta Duy Nguyen, Thien Hang Nguyen, Alina Ene, Huy L. Nguyen:
META-STORM: Generalized Fully-Adaptive Variance Reduced SGD for Unbounded Functions. CoRR abs/2209.14853 (2022) - 2020
- [c3]Kobi Gal, Ta Duy Nguyen, Quang Nhat Tran, Yair Zick:
Threshold Task Games: Theory, Platform and Experiments. AAMAS 2020: 393-401 - [i2]Hongyan Chang, Ta Duy Nguyen, Sasi Kumar Murakonda, Ehsan Kazemi, Reza Shokri:
On Adversarial Bias and the Robustness of Fair Machine Learning. CoRR abs/2006.08669 (2020)
2010 – 2019
- 2018
- [c2]Ta Duy Nguyen, Yair Zick:
Resource Based Cooperative Games: Optimization, Fairness and Stability. SAGT 2018: 239-244 - 2017
- [c1]Benjamin Doerr, Huu Phuoc Le, Régis Makhmara, Ta Duy Nguyen:
Fast genetic algorithms. GECCO 2017: 777-784 - [i1]Benjamin Doerr, Huu Phuoc Le, Régis Makhmara, Ta Duy Nguyen:
Fast Genetic Algorithms. CoRR abs/1703.03334 (2017)
Coauthor Index
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