Ta Duy Nguyen

PhD student, Boston University

Joined

September 2021

Names

Ta Duy Nguyen (Preferred)

Emails

****@gmail.com (Confirmed)

****@bu.edu (Confirmed)

Personal Links

Homepage

Career & Education History

PhD student

Boston University (bu.edu)

2021 – 2026

MS student

National University of Singapore (nus.edu.sg)

2017 – 2019

Advisors, Relations & Conflicts

PhD Advisor

Alina Ene

2021 – Present

Expertise

No areas of expertise listed

Publications

Improved $\ell_{p}$ Regression via Iteratively Reweighted Least Squares
Alina Ene, Ta Duy Nguyen, Adrian Vladu
- ICLR 2026 Poster
- Readers: Everyone
Quasi-Self-Concordant Optimization with $\ell_{\infty}$ Lewis Weights
Alina Ene, Ta Duy Nguyen, Adrian Vladu
- NeurIPS 2025 poster
- Readers: Everyone
ROLoRA: Rank Optimization for Low-Rank Adaptation under Memory Constraints
Ta Duy Nguyen, Dung Tran, Saeed Amizadeh, Tianyi Chen, Trung Dang, Luming Liang, Kazuhito Koishida
- Submitted to ICLR 2025
- Readers: Everyone
Multiplicative Weights Update, Area Convexity and Random Coordinate Descent for Densest Subgraph Problems
Ta Duy Nguyen, Alina Ene
- ICML 2024 Oral
- Readers: Everyone
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 spotlight
- Readers: Everyone
On the Generalization Error of Stochastic Mirror Descent for Quadratically-Bounded Losses: an Improved Analysis
Ta Duy Nguyen, Alina Ene, Huy Nguyen
- NeurIPS 2023 poster
- Readers: Everyone
High Probability Convergence of Stochastic Gradient Methods
Zijian Liu, Ta Duy Nguyen, Thien Hang Nguyen, Alina Ene, Huy Nguyen
- ICML 2023 Poster
- Readers: Everyone
META-STORM: Generalized Fully-Adaptive Variance Reduced SGD for Unbounded Functions
Zijian Liu, Ta Duy Nguyen, Thien Hang Nguyen, Alina Ene, Huy Nguyen
- Published: 01 Feb 2023, Last Modified: 14 Jan 2026
- Submitted to ICLR 2023
- Readers: Everyone
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
- Published: 01 Feb 2023, Last Modified: 22 Feb 2023
- ICLR 2023 poster
- Readers: Everyone
On Adversarial Bias and the Robustness of Fair Machine Learning
Hongyan Chang, Ta Duy Nguyen, Sasi Kumar Murakonda, Ehsan Kazemi, Reza Shokri
- Published: 28 Jan 2022, Last Modified: 12 Oct 2025
- ICLR 2022 Submitted
- Readers: Everyone