Nhat Ho
Multilevel Clustering via Wasserstein Means
N Ho, XL Nguyen, M Yurochkin, HH Bui, V Huynh, D Phung
Proceedings of the ICML, 2017, 2017
Convergence rates of parameter estimation for some weakly identifiable finite mixtures
N Ho, XL Nguyen
The Annals of Statistics 44 (6), 2726-2755, 2016
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
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
Singularity structures and impacts on parameter estimation in finite mixtures of distributions
N Ho, XL Nguyen
SIAM Journal on Mathematics of Data Science (SIMODS), 2016
Identifiability and optimal rates of convergence for parameters of multiple types in finite mixtures
N Ho, XL Nguyen
Technical report 536, Department of Statistics, University of Michigan, Ann …, 2015
Singularity, Misspecification, and the Convergence Rate of EM
R Dwivedi*, N Ho*, K Khamaru*, MJ Wainwright, MI Jordan, B Yu
To appear, Annals of Statistics, 2018
Theoretical perspective of deep domain adaptation
T Le, K Nguyen, N Ho, H Bui, D Phung
arXiv preprint arXiv:1811.06199, 2019
On the acceleration of the Sinkhorn and Greenkhorn algorithms for optimal transport
T Lin, N Ho, MI Jordan
arXiv preprint arXiv: 1906.01437, 2019
Neural Rendering Model: Joint generation and prediction for semi-supervised learning
N Ho*, T Nguyen*, A Patel, A Anandkumar, MI Jordan, R Baraniuk
arXiv preprint arXiv:1811.02657, 2018
Probabilistic Multilevel Clustering via Composite Transportation Distance
N Ho*, V Huynh*, D Phung, MI Jordan
AISTATS, 2019, 2018
Challenges with EM in application to weakly identifiable mixture models
R Dwivedi*, N Ho*, K Khamaru*, MJ Wainwright, MI Jordan, B Yu
arXiv preprint arXiv: 1902.00194, 2019
On posterior contraction of parameters and interpretability in Bayesian mixture modeling
A Guha, N Ho, XL Nguyen
arXiv preprint arXiv: 1901.05078, 2019
On the complexity of approximating multimarginal optimal transport
T Lin*, N Ho*, M Cuturi, MI Jordan
arXiv preprint arXiv: 1910.00152, 2019
Accelerated primal-dual coordinate descent for computational optimal transport
W Guo, N Ho, MI Jordan
arXiv preprint arXiv: 1905.09952, 2019
On structured filtering-clustering: global error bound and optimal first-order algorithms
N Ho*, T Lin*, MI Jordan
arXiv preprint arXiv:1904.07462, 2019
Theoretical guarantees for EM under misspecified Gaussian mixture models
R Dwivedi*, N Ho*, K Khamaru*, MJ Wainwright, MI Jordan
Advances in NIPS, 2018, 2018
Robust estimation of mixing measures in finite mixture models
N Ho, XL Nguyen, Y Ritov
To appear, Bernoulli, 2017
Parameter estimation and multilevel clustering with mixture and hierarchical models
N Ho
University of Michigan, Ann Arbor, 2017
Polynomial-time algorithm for power posterior sampling in Bayesian mixture models
WM Mou, N Ho, MJ Wainwright, P Bartlett, MI Jordan
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