Dat Do

20212022202320241 7 12 21

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Nhat HoProfessor at University of Texas, AustinVerified email at utexas.edu
XuanLong NguyenUniversity of MichiganVerified email at umich.edu
Aritra GuhaData Science and AI Research, AT&TVerified email at umich.edu
Mengdi XuStanford UniversityVerified email at stanford.edu
Jiacheng ZhuMITVerified email at csail.mit.edu
Ding ZhaoCarnegie Mellon UniversityVerified email at cmu.edu
Khang LeUniversity of Texas at AustinVerified email at utexas.edu
Tung PhamVinAI ResearchVerified email at hus.edu.vn
Khai NguyenPh.D. Candidate at University of Texas at AustinVerified email at utexas.edu
Dinh PhungProfessor, Monash UniversityVerified email at monash.edu
Trung LeFaculty of Information Technology, Monash University, AustraliaVerified email at monash.edu
Hung BuiResearch Scientist, Google DeepMindVerified email at google.com
Trang TaThe University of AlabamaVerified email at crimson.ua.edu
Son Ta CongVNU University of Science, Vietnam National University, HanoiVerified email at vnu.edu.vn
Le Van DungThe University of Da Nang - University of Science and EducationVerified email at ued.udn.vn

Dat Do

Verified email at umich.edu - Homepage


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Entropic gromov-wasserstein between gaussian distributions K Le, DQ Le, H Nguyen, D Do, T Pham, N Ho International Conference on Machine Learning, 12164-12203, 2022	19	2022
Functional optimal transport: map estimation and domain adaptation for functional data J Zhu, A Guha, D Do, M Xu, XL Nguyen, D Zhao arXiv preprint arXiv:2102.03895, 2021	8	2021
Strong identifiability and parameter learning in regression with heterogeneous response D Do, L Do, XL Nguyen arXiv preprint arXiv:2212.04091, 2022	4	2022
Optimal Rate for Parameter Estimation in Matrix-variate Deviated Models N Ho, D Do, H Nguyen, K Nguyen Advances in Neural Information Processing Systems 36 (NeurIPS 2023), 2023	3*	2023
Beyond Black Box Densities: Parameter Learning for the Deviated Components D Do, N Ho, XL Nguyen Advances in Neural Information Processing Systems 35 (NeurIPS 2022), 2022	2	2022
Generalized Marcinkiewicz laws for weighted dependent random vectors in Hilbert spaces TC Son, LV Dung, DT Dat, TT Trang Theory of Probability & Its Applications 67 (3), 434-451, 2022	2	2022
On label shift in domain adaptation via wasserstein distance T Le, D Do, T Nguyen, H Nguyen, H Bui, N Ho, D Phung arXiv preprint arXiv:2110.15520, 2021	2	2021
Dendrogram of mixing measures: Learning latent hierarchy and model selection for finite mixture models D Do, L Do, SA McKinley, J Terhorst, XL Nguyen arXiv preprint arXiv:2403.01684v2, 2024	1	2024

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