| Distributional sliced-Wasserstein and applications to generative modeling K Nguyen, N Ho, T Pham, H Bui ICLR 2021, 2020 | 84 | 2020 |
| Asymptotic normality and valid inference for Gaussian variational approximation P Hall, T Pham, MP Wand, SSJ Wang | 56 | 2011 |
| On unbalanced optimal transport: An analysis of sinkhorn algorithm K Pham, K Le, N Ho, T Pham, H Bui International Conference on Machine Learning, 7673-7682, 2020 | 55 | 2020 |
| Point-set Distances for Learning Representations of 3D Point Clouds T Nguyen, QH Pham, T Le, T Pham, N Ho, BS Hua International Conference of Computer Vision, 2021, 2021 | 43 | 2021 |
| Mean field variational Bayesian inference for nonparametric regression with measurement error TH Pham, JT Ormerod, MP Wand Computational Statistics & Data Analysis 68, 375-387, 2013 | 38 | 2013 |
| Principal flows VM Panaretos, T Pham, Z Yao Journal of the American Statistical Association 109 (505), 424-436, 2014 | 31 | 2014 |
| Improving relational regularized autoencoders with spherical sliced fused Gromov Wasserstein K Nguyen, S Nguyen, N Ho, T Pham, H Bui ICLR 2021, 2020 | 28 | 2020 |
| Clustering functional data into groups by using projections A Delaigle, P Hall, T Pham Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2019 | 27 | 2019 |
| Improving mini-batch optimal transport via partial transportation K Nguyen, D Nguyen, T Pham, N Ho International Conference on Machine Learning, 16656-16690, 2022 | 26 | 2022 |
| On Robust Optimal Transport: Computational Complexity and Barycenter Computation K Le, H Nguyen, Q Nguyen, N Ho, T Pham, H Bui Advances in Neural Information Processing Systems 34 (NeurIPS 2021), 2021 | 17 | 2021 |
| Methodology and convergence rates for functional time series regression T Pham, VM Panaretos Statistica Sinica 28 (4), 2521-2539, 2018 | 16 | 2018 |
| On transportation of mini-batches: A hierarchical approach K Nguyen, D Nguyen, Q Nguyen, T Pham, H Bui, D Phung, T Le, N Ho arXiv preprint arXiv:2102.05912, 2021 | 13 | 2021 |
| Optimal properties of centroid-based classifiers for very high-dimensional data P Hall, T Pham | 13 | 2010 |
| Entropic Gromov-Wasserstein between Gaussian distributions K Le, D Le, H Nguyen, D Do, T Pham, N Ho ICML, 2022, 2021 | 7 | 2021 |
| Generalised additive mixed models analysis via gammSlice TH Pham, MP Wand Australian & New Zealand Journal of Statistics 60 (3), 279-300, 2018 | 7 | 2018 |
| On Multimarginal Partial Optimal Transport: Equivalent Forms and Computational Complexity K Le, H Nguyen, K Nguyen, T Pham, N Ho International Conference on Artificial Intelligence and Statistics, 2022 | 6 | 2022 |
| Notes on an open problem of F. Qi and Y. Chen and J. Kimball QA Ngo, PH Tung J. Inequal. Pure Appl. Math 8 (2), 2007 | 6 | 2007 |
| A novel case‐control subsampling approach for rapid model exploration of large clustered binary data ST Wright, LM Ryan, T Pham Statistics in Medicine 37 (6), 899-913, 2018 | 5 | 2018 |
| COMBAT: Alternated Training for Near-Perfect Clean-Label Backdoor Attacks TN Huynh, DM Nguyen, T Pham, AT Tran | | 2022 |
| An Efficient Mini-batch Method via Partial Transportation K Nguyen, D Nguyen, T Pham, N Ho CoRR, 2021 | | 2021 |
Nhat HoProfessor at University of Texas, AustinVerified email at utexas.edu
