Preprints/ Publications (by journal/ conference)

(* = 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

Journal Publications

Conference Publications (Machine Learning, Computer Vision, Signal Processing, Time Series Analysis)

Phd Thesis/ Manuscripts