Preprints/ Publications (by year)

(* = equal contribution )
(** = alphabetical order )
( = co-last author )

Journal Submissions


  • Global optimality of the EM algorithm for mixtures of two linear regression . Under review.
    Jeongyeol Kwon, Wei Qian, Constantine Caramanis, Yudong Chen, Damek Davis, Nhat Ho.

  • A general theory for softmax gating Gaussian mixture of experts . To be submitted.
    Huy Nguyen, Nhat Ho.

  • Energy meets sliced Wasserstein distance: From linear to nonlinear projections . To be submitted.
    Khai Nguyen, Nhat Ho.

  • Mixture model meets Transformer . To be submitted.
    Tan Nguyen*, Tam Nguyen*, Nhat Ho, Stanley Osher.

  • Improving Transformer via general integral theorems . To be submitted.
    Tan Nguyen*, Minh Pham*, Nhat Ho.

  • Revisiting sliced optimal transport via geometric methods. To be submitted.
    Khai Nguyen, Nhat Ho.

  • Joint self-supervised image-volume representation learning with intra-inter contrastive clustering . To be submitted.
    Duy Nguyen, Nguyen Hoang, Truong Mai, Cao Tri, Binh Nguyen, Nhat Ho, Paul Swoboda, Shadi Albarqouni, Pengtao Xie, Daniel Sonntag.

  • On mean-field variational inference: Non-asymptotic approximation, Bayesian inference, and parameter estimation. To be submitted.
    Wenlong Mou, Nhat Ho, Martin J. Wainwright, Peter L. Bartlett, Michael I. Jordan.

Conference Submissions


  • On parameter estimation under contaminated models with covariates. Under review.
    Huy Nguyen, Khai Nguyen, Nhat Ho.

  • Efficient Transformer with compressive sensing . Under review.
    Tan Minh Nguyen, Tho Tran Huu, Tam Minh Nguyen, Minh Pham, Stanley Osher, Nhat Ho.

Journal Under Revision


2023


2022


2021


2020


Before 2020


Phd Thesis/ Manuscripts