Publications (by topics)
(* = equal contribution )
(** = alphabetical order )
(† = co-last author )
( Each paper appears in a single topic )
Graphical models / Hierarchical models / Mixture models / Bayesian nonparametrics (Theories and Applications in Machine Learning and Deep Learning)
CompeteSMoE - Effective training of sparse mixture of experts via competition . Under review.
Quang Pham, Truong Giang Do, Huy Nguyen, TrungTin Nguyen, Chenghao Liu, Mina Sartipi, Binh T. Nguyen, Savitha Ramasamy, Xiaoli Li, Steven Hoi†, Nhat Ho†.
Optimal transport (Computation and Methods in Statistical Machine Learning and Deep Learning)
Optimization in statistical settings / Distributed computing
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.
Sampling and Markov chains / (Approximate) Bayesian inference
A partial differential equation perspective on Berstein-Von Mises theorem. To be submitted.
Wenlong Mou, Nhat Ho, Martin J. Wainwright, Peter L. Bartlett, Michael I. Jordan.
Nonparametric estimation
Deep learning (Generative models, Transformer, Transfer learning, Federated Learning, Bayesian neural networks, etc.)
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.
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.
Improving Transformer with an admixture of attention heads . Advances in NeurIPS, 2022.
Tam Nguyen*, Tan Nguyen*, Hai Do, Khai Nguyen, Vishwanath Saragadam, Minh Pham, Khuong Nguyen,Stanley Osher†, Nhat Ho†.
Stochastic multiple target sampling gradient descent
. Advances in NeurIPS, 2022.
Hoang Phan, Ngoc Tran, Trung Le, Toan Tran, Nhat Ho, Dinh Phung.
Point-set distances for learning representations of 3D point clouds. International Conference on Computer Vision (ICCV), 2021.
Trung Nguyen, Hieu Pham, Tam Le, Nhat Ho, Tung Pham, Son Hua.
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