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Nhat Ho
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Zitiert von
Jahr
Multilevel clustering via Wasserstein means
N Ho, XL Nguyen, M Yurochkin, HH Bui, V Huynh, D Phung
Proceedings of the ICML, 2017, 2017
1692017
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
1542019
Distributional sliced-Wasserstein and applications to generative modeling
K Nguyen, N Ho, T Pham, H Bui
International Conference on Learning Representations (ICLR), 2021, 2021
1122021
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
1052020
Convergence rates of parameter estimation for some weakly identifiable finite mixtures
N Ho, XL Nguyen
The Annals of Statistics 44 (6), 2726-2755, 2016
1012016
Revisiting over-smoothing and over-squashing using Ollivier's Ricci curvature
K Nguyen, H Nong, V Nguyen, N Ho, S Osher, T Nguyen
Proceedings of the ICML, 2023, 2023
972023
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
96*2022
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
922022
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
902021
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
862016
LAMDA: Label matching deep domain adaptation
T Le, T Nguyen, N Ho, H Bui, D Phung
Proceedings of the ICML, 2021, 2021
76*2021
Projection robust Wasserstein distance and Riemannian optimization
T Lin*, C Fan*, N Ho, M Cuturi, MI Jordan
Advances in NeurIPS, 2020, 2020
762020
Fixed-support Wasserstein barycenters: computational hardness and fast algorithm
T Lin, N Ho, X Chen, M Cuturi, MI Jordan
Advances in NeurIPS, 2020, 2020
74*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
722020
On posterior contraction of parameters and interpretability in Bayesian mixture modeling
A Guha, N Ho, XL Nguyen
Bernoulli 27 (4), 2159-2188, 2021
702021
Convergence rates for Gaussian mixtures of experts
N Ho, CY Yang, MI Jordan
Journal of Machine Learning Research, 2022
602022
Architecture agnostic federated learning for neural networks
D Makhija, X Han, N Ho, J Ghosh
Proceedings of the ICML, 2022, 2022
532022
On robust optimal transport: Computational complexity and barycenter computation
K Le*, H Nguyen*, Q Nguyen, T Pham, H Bui*, N Ho*
Advances in NeurIPS, 2021, 2021
502021
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
492021
Improving minibatch optimal transport via partial transportation
K Nguyen, D Nguyen, T Pham, N Ho
Proceedings of the ICML, 2022, 2022
472022
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