| On Robust Optimal Transport: Computational Complexity and Barycenter Computation H Nguyen*, K Le*, QM Nguyen, T Pham, H Bui, N Ho Advances in Neural Information Processing Systems, 2021 | 30 | 2021 |
| Hierarchical Sliced Wasserstein Distance K Nguyen, T Ren, H Nguyen, L Rout, T Nguyen, N Ho International Conference on Learning Representations, 2023 | 23 | 2023 |
| Entropic Gromov-Wasserstein between Gaussian Distributions H Nguyen*, K Le*, DQ Le*, D Do, T Pham, N Ho International Conference on Machine Learning, 2022 | 17 | 2022 |
| EPEM: Efficient parameter estimation for multiple class monotone missing data T Nguyen, DHM Nguyen, H Nguyen, BT Nguyen, BA Wade Information Sciences 567, 1-22, 2021 | 10 | 2021 |
| Demystifying softmax gating function in Gaussian mixture of experts H Nguyen, TT Nguyen, N Ho Advances in Neural Information Processing Systems, 2023 | 9* | 2023 |
| On Multimarginal Partial Optimal Transport: Equivalent Forms and Computational Complexity H Nguyen*, K Le*, K Nguyen, T Pham, N Ho International Conference on Artificial Intelligence and Statistics, 2022 | 7 | 2022 |
| Towards Convergence Rates for Parameter Estimation in Gaussian-gated Mixture of Experts H Nguyen*, TT Nguyen*, K Nguyen, N Ho International Conference on Artificial Intelligence and Statistic, 2024 | 5 | 2024 |
| Statistical perspective of top-k sparse softmax gating mixture of experts H Nguyen, P Akbarian, F Yan, N Ho International Conference on Learning Representations, 2024 | 5 | 2024 |
| Is Temperature Sample Efficient for Softmax Gaussian Mixture of Experts? H Nguyen, P Akbarian, N Ho arXiv preprint arXiv:2401.13875, 2024 | 3 | 2024 |
| A General Theory for Softmax Gating Multinomial Logistic Mixture of Experts H Nguyen, P Akbarian, TT Nguyen, N Ho arXiv preprint arXiv:2310.14188, 2023 | 3 | 2023 |
| Fast Approximation of the Generalized Sliced-Wasserstein Distance D Le*, H Nguyen*, K Nguyen*, T Nguyen*, N Ho IEEE International Conference on Acoustics, Speech and Signal Processing, 2024 | 2* | 2024 |
| On Least Squares Estimation in Softmax Gating Mixture of Experts H Nguyen, N Ho, A Rinaldo arXiv preprint arXiv:2402.02952, 2024 | 2 | 2024 |
| FuseMoE: Mixture-of-Experts Transformers for Fleximodal Fusion X Han, H Nguyen, C Harris, N Ho, S Saria arXiv preprint arXiv:2402.03226, 2024 | 1 | 2024 |
| On Parameter Estimation in Deviated Gaussian Mixture of Experts H Nguyen, K Nguyen, N Ho International Conference on Artificial Intelligence and Statistics, 2024 | | 2024 |
| CompeteSMoE--Effective Training of Sparse Mixture of Experts via Competition Q Pham, G Do, H Nguyen, TT Nguyen, C Liu, M Sartipi, BT Nguyen, ... arXiv preprint arXiv:2402.02526, 2024 | | 2024 |
| Minimax Optimal Rate for Parameter Estimation in Multivariate Deviated Models D Do*, H Nguyen*, K Nguyen, N Ho Advances in Neural Information Processing Systems 36, 2023 | | 2023 |
Nhat HoProfessor at University of Texas, AustinVerified email at utexas.edu
