Selected Publications on Theory (Hierarchical and Mixture Models, Bayesian Nonparametrics, Optimal Transport, Deep Learning, (Approximate) Bayesian Inference, (Non)-Convex Optimization, etc.)
* = equal contribution
** = alphabetical order
† = co-last author
- Demystifying softmax gating in Gaussian mixture of experts . Advances in NeurIPS, 2023 (Spotlight).
Huy Nguyen, Tin Nguyen, Nhat Ho.
- A diffusion process perspective on the posterior contraction rates for parameters. SIAM Journal on Mathematics of Data Science (SIMODS), 2023.
Wenlong Mou, Nhat Ho, Martin J. Wainwright, Peter L. Bartlett, Michael I. Jordan.
- Minimax optimal rate for parameter estimation in multivariate deviated models. Advances in NeurIPS, 2023.
Dat Do*, Huy Nguyen*, Khai Nguyen, Nhat Ho.
- Neural collapse in deep linear network: from balanced to imbalanced data . Proceedings of the ICML, 2023.
Hien Dang*, Tho Tran*, Hung Tran, Tan Nguyen†, Nhat Ho†.
- On excess mass behavior in Gaussian mixture models with Orlicz Wasserstein distances . Proceedings of the ICML, 2023.
Aritra Guha, Nhat Ho, Long Nguyen.
