Do Ngoc Tuan (Mason Do)

Researcher · Phenikaa University

I work on machine learning and optimization. My research studies how to make learning systems efficient, reliable and grounded in theory. This site collects my papers, research themes and occasional notes with equations.

tuan.dongoc [at] phenikaa-uni.edu.vn

Selected publications

All publications →

Efficient Transformers with $\mathcal{O}(n)$ Attention
Jane Smith, Tuan Do, Kim Lee
ICML 2026CORE A*
DOI arXiv Code
On the Convergence of Stochastic Gradient Methods in $\mathbb{R}^n$ under Polyak–Łojasiewicz Conditions
Tuan Do, An Nguyen
Journal of Machine Learning Research, 26(112), 1–38, 2025
Link
Sparse Mixture Models for Low-Resource Learning
T. Do, Jörg Müller, Minh Do
AAAI 2025CORE A*
arXiv

Do Ngoc Tuan (Mason Do)

Recent posts

Hello, world

Math rendering reference

Selected publications

Efficient Transformers with $\mathcal{O}(n)$ Attention

On the Convergence of Stochastic Gradient Methods in $\mathbb{R}^n$ under Polyak–Łojasiewicz Conditions

Sparse Mixture Models for Low-Resource Learning

Do Ngoc Tuan (Mason Do)

Recent posts

Hello, world

Math rendering reference

Selected publications

Efficient Transformers with O(n)\mathcal{O}(n)O(n) Attention

On the Convergence of Stochastic Gradient Methods in Rn\mathbb{R}^nRn under Polyak–Łojasiewicz Conditions

Sparse Mixture Models for Low-Resource Learning

Efficient Transformers with $\mathcal{O}(n)$ Attention

On the Convergence of Stochastic Gradient Methods in $\mathbb{R}^n$ under Polyak–Łojasiewicz Conditions