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.
Mixture model meets Transformer . To be submitted.
Tan Nguyen*, Tam Nguyen*, Nhat Ho†, Stanley Osher†.
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
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
[J.6] Singularity,
misspecification, and the convergence rate of EM. Annals of Statistics, 48(6), 3161-3182, 2020.
Raaz Dwivedi*, Nhat Ho*, Koulik Khamaru*, Martin J. Wainwright, Michael I. Jordan, Bin Yu.
Conference Publications (Machine Learning, Computer Vision, Signal Processing, Time Series Analysis)
[C.45] LVM-Med: Learning large-Scale self-Supervised vision models for medical imaging via second-order graph matching. Advances in NeurIPS, 2023.
Duy Nguyen, Hoang Nguyen, Nghiem Diep, Tan Pham, Tri Cao, Binh T. Nguyen, Paul Swoboda, Nhat Ho, Shadi Albarqouni, Pengtao Xie, Mathias Niepert, Daniel Sonntag.
[C.36] A probabilistic framework for pruning transformers via a finite admixture of keys . IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023 (Top 3%).
Tam Nguyen*, Tan Nguyen*, Long Bui, Hai Do, Dung Le, Hung Tran-The, Khuong Nguyen, Nhat Ho, Stanley Osher, Richard Baraniuk.
[C.35] Joint self-supervised image-volume representation learning with intra-inter contrastive clustering . AAAI, 2023.
Duy Nguyen, Nguyen Hoang, Truong Mai, Cao Tri, Binh Nguyen, Nhat Ho, Paul Swoboda, Shadi Albarqouni, Pengtao Xie, Daniel Sonntag.
Phd Thesis/ Manuscripts
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