Tung Pham
Tung Pham
VinAI Research
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Distributional sliced-Wasserstein and applications to generative modeling
K Nguyen, N Ho, T Pham, H Bui
ICLR 2021, 2020
Asymptotic normality and valid inference for Gaussian variational approximation
P Hall, T Pham, MP Wand, SSJ Wang
On unbalanced optimal transport: An analysis of sinkhorn algorithm
K Pham, K Le, N Ho, T Pham, H Bui
International Conference on Machine Learning, 7673-7682, 2020
Point-set Distances for Learning Representations of 3D Point Clouds
T Nguyen, QH Pham, T Le, T Pham, N Ho, BS Hua
International Conference of Computer Vision, 2021, 2021
Mean field variational Bayesian inference for nonparametric regression with measurement error
TH Pham, JT Ormerod, MP Wand
Computational Statistics & Data Analysis 68, 375-387, 2013
Principal flows
VM Panaretos, T Pham, Z Yao
Journal of the American Statistical Association 109 (505), 424-436, 2014
Improving relational regularized autoencoders with spherical sliced fused Gromov Wasserstein
K Nguyen, S Nguyen, N Ho, T Pham, H Bui
ICLR 2021, 2020
Clustering functional data into groups by using projections
A Delaigle, P Hall, T Pham
Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2019
Improving mini-batch optimal transport via partial transportation
K Nguyen, D Nguyen, T Pham, N Ho
International Conference on Machine Learning, 16656-16690, 2022
On Robust Optimal Transport: Computational Complexity and Barycenter Computation
K Le, H Nguyen, Q Nguyen, N Ho, T Pham, H Bui
Advances in Neural Information Processing Systems 34 (NeurIPS 2021), 2021
Methodology and convergence rates for functional time series regression
T Pham, VM Panaretos
Statistica Sinica 28 (4), 2521-2539, 2018
On transportation of mini-batches: A hierarchical approach
K Nguyen, D Nguyen, Q Nguyen, T Pham, H Bui, D Phung, T Le, N Ho
arXiv preprint arXiv:2102.05912, 2021
Optimal properties of centroid-based classifiers for very high-dimensional data
P Hall, T Pham
Entropic Gromov-Wasserstein between Gaussian distributions
K Le, D Le, H Nguyen, D Do, T Pham, N Ho
ICML, 2022, 2021
Generalised additive mixed models analysis via gammSlice
TH Pham, MP Wand
Australian & New Zealand Journal of Statistics 60 (3), 279-300, 2018
On Multimarginal Partial Optimal Transport: Equivalent Forms and Computational Complexity
K Le, H Nguyen, K Nguyen, T Pham, N Ho
International Conference on Artificial Intelligence and Statistics, 2022
Notes on an open problem of F. Qi and Y. Chen and J. Kimball
QA Ngo, PH Tung
J. Inequal. Pure Appl. Math 8 (2), 2007
A novel case‐control subsampling approach for rapid model exploration of large clustered binary data
ST Wright, LM Ryan, T Pham
Statistics in Medicine 37 (6), 899-913, 2018
COMBAT: Alternated Training for Near-Perfect Clean-Label Backdoor Attacks
TN Huynh, DM Nguyen, T Pham, AT Tran
An Efficient Mini-batch Method via Partial Transportation
K Nguyen, D Nguyen, T Pham, N Ho
CoRR, 2021
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