Nhat Ho

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Michael I. JordanProfessor of Electrical Engineering and Computer Sciences and Professor of Statistics, UC BerkeleyPotvrđena adresa e-pošte na cs.berkeley.edu
Dinh PhungProfessor, Monash UniversityPotvrđena adresa e-pošte na monash.edu
Hung BuiResearch Scientist, Google DeepMindPotvrđena adresa e-pošte na google.com
Tianyi LinColumbia UniversityPotvrđena adresa e-pošte na columbia.edu
XuanLong NguyenUniversity of MichiganPotvrđena adresa e-pošte na umich.edu
Tan Minh NguyenNational University of SingaporePotvrđena adresa e-pošte na nus.edu.sg
Martin WainwrightProfessor, EECS/Mathematics, Massachusetts Institute of TechnologyPotvrđena adresa e-pošte na mit.edu
Marco CuturiApple / CREST-ENSAE.Potvrđena adresa e-pošte na apple.com
Raaz DwivediAssistant Professor, Cornell TechPotvrđena adresa e-pošte na cornell.edu
Koulik KhamaruAssistant Professor, Department Of Statistics, Rutgers.Potvrđena adresa e-pošte na berkeley.edu
Joydeep Ghosh(Chaired) Professor, ECE Dept., Univ. Texas at Austin; Faculty Dell Med, UT-Comp. Sc., McCombsPotvrđena adresa e-pošte na utexas.edu
Richard BaraniukC. Sidney Burrus Professor, Electrical & Computer Engineering, Rice UniversityPotvrđena adresa e-pošte na rice.edu
Bin YUProfessor of Statistics and EECS, UC BerkeleyPotvrđena adresa e-pošte na stat.berkeley.edu
Mathias NiepertUniversity of Stuttgart & NEC Labs EuropePotvrđena adresa e-pošte na ki.uni-stuttgart.de
Constantine CaramanisProfessor of Electrical and Computer Engineering, UT AustinPotvrđena adresa e-pošte na utexas.edu
Jeongyeol KwonUniversity of Wisconsin-MadisonPotvrđena adresa e-pošte na wisc.edu
Xi ChenProfessor at New York UniversityPotvrđena adresa e-pošte na nyu.edu
Wenlong MouUniversity of TorontoPotvrđena adresa e-pošte na utoronto.ca
Sujay SanghaviAssociate Professor, Electrical and Computer Engineering, University of Texas, AustinPotvrđena adresa e-pošte na mail.utexas.edu
Khang NguyenPhD student in Mathematics, UCLAPotvrđena adresa e-pošte na math.ucla.edu

Prati

Nhat Ho

Professor at University of Texas, Austin

Potvrđena adresa e-pošte na utexas.edu - Početna stranica

Machine Learning Bayesian Statistics Optimization Optimal Transport Deep Learning


Naslov Poredaj po navodima Poredaj po godini Poredaj po naslovu	Citirano Citirano	Godina
Multilevel clustering via Wasserstein means N Ho, XL Nguyen, M Yurochkin, HH Bui, V Huynh, D Phung Proceedings of the ICML, 2017, 2017	168	2017
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	153	2019
Distributional sliced-Wasserstein and applications to generative modeling K Nguyen, N Ho, T Pham, H Bui International Conference on Learning Representations (ICLR), 2021, 2021	110	2021
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	103	2020
Convergence rates of parameter estimation for some weakly identifiable finite mixtures N Ho, XL Nguyen The Annals of Statistics 44 (6), 2726-2755, 2016	101	2016
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	95*	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	90	2022
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	88	2023
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	84	2021
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	83	2016
Projection robust Wasserstein distance and Riemannian optimization T Lin, C Fan, N Ho, M Cuturi, MI Jordan Advances in NeurIPS, 2020, 2020	76	2020
LAMDA: Label matching deep domain adaptation T Le, T Nguyen, N Ho, H Bui, D Phung Proceedings of the ICML, 2021, 2021	75*	2021
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	72	2020
On posterior contraction of parameters and interpretability in Bayesian mixture modeling A Guha, N Ho, XL Nguyen Bernoulli 27 (4), 2159-2188, 2021	69	2021
Convergence rates for Gaussian mixtures of experts N Ho, CY Yang, MI Jordan Journal of Machine Learning Research, 2022	58	2022
Architecture agnostic federated learning for neural networks D Makhija, X Han, N Ho, J Ghosh Proceedings of the ICML, 2022, 2022	51	2022
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	49	2021
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	48	2021
Fast algorithms for computational optimal transport and Wasserstein barycenter W Guo, N Ho, MI Jordan International Conference on Artificial Intelligence and Statistics (AISTATS …, 2020	44	2020

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