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Nhat Ho
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Multilevel Clustering via Wasserstein Means
N Ho, XL Nguyen, M Yurochkin, HH Bui, V Huynh, D Phung
Proceedings of the ICML, 2017, 2017
1032017
On efficient optimal transport: An analysis of greedy and accelerated mirror descent algorithms
T Lin*, N Ho*, MI Jordan
Proceedings of the ICML, 2019, 2019
902019
Convergence rates of parameter estimation for some weakly identifiable finite mixtures
N Ho, XL Nguyen
The Annals of Statistics 44 (6), 2726-2755, 2016
582016
Fixed-support Wasserstein barycenters: computational hardness and fast algorithm
T Lin, N Ho, X Chen, M Cuturi, MI Jordan
Advances in NeurIPS, 2020, 2020
43*2020
Singularity, misspecification, and the convergence rate of EM
R Dwivedi*, N Ho*, K Khamaru*, MJ Wainwright, MI Jordan, B Yu
The Annals of Statistics 48(6), 3161-3182, 2020
382020
On strong identifiability and convergence rates of parameter estimation in finite mixtures
N Ho, XL Nguyen
Electronic Journal of Statistics 10 (1), 271-307, 2016
382016
Distributional sliced-Wasserstein and applications to generative modeling
K Nguyen, N Ho, T Pham, H Bui
International Conference on Learning Representations (ICLR), 2021, 2020
372020
On the complexity of approximating multimarginal optimal transport
T Lin*, N Ho*, M Cuturi, MI Jordan
Journal of Machine Learning Research (JMLR) 23 (65), 1-43, 2022
362022
Projection robust Wasserstein distance and Riemannian optimization
T Lin*, C Fan*, N Ho, M Cuturi, MI Jordan
Advances in NeurIPS, 2020, 2020
322020
On the efficiency of entropic regularized algorithms for optimal transport
T Lin, N Ho, MI Jordan
Journal of Machine Learning Research (JMLR) 23 (137), 1-42, 2022
31*2022
Singularity structures and impacts on parameter estimation in finite mixtures of distributions
N Ho, XL Nguyen
SIAM Journal on Mathematics of Data Science (SIMODS), 1(4), 730–758, 2019
262019
LAMDA: Label matching deep domain adaptation
T Le, T Nguyen, N Ho, H Bui, D Phung
Proceedings of the ICML, 2021, 2021
24*2021
On posterior contraction of parameters and interpretability in Bayesian mixture modeling
A Guha, N Ho, XL Nguyen
Bernoulli 27 (4), 2159-2188, 2021
242021
On unbalanced optimal transport: an analysis of Sinkhorn algorithm
K Pham, K Le, N Ho, T Pham, H Bui
Proceedings of the ICML, 2020, 2020
202020
Fast algorithms for computational optimal transport and Wasserstein barycenter
W Guo, N Ho, MI Jordan
International Conference on Artificial Intelligence and Statistics (AISTATS …, 2020
19*2020
Sharp analysis of Expectation-Maximization for weakly identifiable models
R Dwivedi, N Ho, K Khamaru, M Wainwright, M Jordan, B Yu
International Conference on Artificial Intelligence and Statistics (AISTATS …, 2020
16*2020
Probabilistic Multilevel Clustering via Composite Transportation Distance
N Ho*, V Huynh*, D Phung, MI Jordan
International Conference on Artificial Intelligence and Statistics (AISTATS …, 2019
162019
On the minimax optimality of the EM algorithm for learning two-component mixed linear regression
JY Kwon, N Ho, C Caramanis
International Conference on Artificial Intelligence and Statistics (AISTATS …, 2021
152021
Convergence rates for Gaussian mixtures of experts
N Ho, CY Yang, MI Jordan
Journal of Machine Learning Research (Accept Under Minor Revision), 2022
142022
Point-set Distances for Learning Representations of 3D Point Clouds
T Nguyen, QH Pham, T Le, T Pham, N Ho, BS Hua
International Conference on Computer Vision (ICCV), 2021, 2021
122021
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Articles 1–20