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Do Ngoc Tuan (Mason Do)

Publications

Conference Papers

2026

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

    Jane Smith, Tuan Do, Kim Lee

    ICML 2026CORE A*

    DOIarXivCode
    BibTeX
    @inproceedings{do2026efficient,
  author    = {Smith, Jane and Do, Tuan and Lee, Kim},
  title     = {Efficient {Transformers} with $\mathcal{O}(n)$ Attention},
  booktitle = {Proceedings of the 43rd International Conference on Machine Learning},
  year      = {2026},
  doi       = {10.0000/example},
  eprint    = {2601.01234}
}

2025

  • Sparse Mixture Models for Low-Resource Learning

    T. Do, Jörg Müller, Minh Do

    AAAI 2025CORE A*

    arXiv
    BibTeX
    @inproceedings{do2025sparse,
  author    = {Do, T. and M{\"u}ller, J{\"o}rg and Do, Minh},
  title     = {Sparse Mixture Models for {Low-Resource} Learning},
  booktitle = {Proceedings of the 39th AAAI Conference on Artificial Intelligence},
  year      = {2025},
  eprint    = {2502.05678}
}

Journal Articles

2025

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

    Tuan Do, An Nguyen

    Journal of Machine Learning Research, 26(112), 1–38, 2025

    Link
    BibTeX
    @article{do2025convergence,
  author  = {Do, Tuan and Nguyen, An},
  title   = {On the Convergence of Stochastic Gradient Methods in $\mathbb{R}^n$ under {Polyak--{\L}ojasiewicz} Conditions},
  journal = {Journal of Machine Learning Research},
  volume  = {26},
  number  = {112},
  pages   = {1--38},
  year    = {2025},
  url     = {https://example.org/jmlr-paper}
}