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Dat Do
Dat Do
Ph.D. candidate, University of Michigan
Verified email at umich.edu - Homepage
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
182022
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
72021
Strong identifiability and parameter learning in regression with heterogeneous response
D Do, L Do, XL Nguyen
arXiv preprint arXiv:2212.04091, 2022
52022
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
22022
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
22021
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
12024
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
12022
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
2023
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Articles 1–8