Sinho Chewi
Sinho Chewi
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Gradient descent algorithms for Bures-Wasserstein barycenters
S Chewi, T Maunu, P Rigollet, AJ Stromme
Conference on Learning Theory 2020 125, 1276-1304, 2020
SVGD as a kernelized Wasserstein gradient flow of the chi-squared divergence
S Chewi, TL Gouic, C Lu, T Maunu, P Rigollet
Advances in Neural Information Processing Systems 33, 2098-2109, 2020
Exponential ergodicity of mirror-Langevin diffusions
S Chewi, TL Gouic, C Lu, T Maunu, P Rigollet, A Stromme
Advances in Neural Information Processing Systems 33, 19573-19585, 2020
Fast and smooth interpolation on Wasserstein space
S Chewi, J Clancy, T Le Gouic, P Rigollet, G Stepaniants, A Stromme
International Conference on Artificial Intelligence and Statistics, 3061-3069, 2021
Efficient constrained sampling via the mirror-Langevin algorithm
K Ahn, S Chewi
arXiv preprint arXiv:2010.16212, 2020
Matching observations to distributions: efficient estimation via sparsified Hungarian algorithm
S Chewi, F Yang, A Ghosh, A Parekh, K Ramchandran
2019 57th Annual Allerton Conference on Communication, Control, and …, 2019
A combinatorial proof of a formula of Biane and Chapuy
S Chewi, V Anantharam
The Electronic Journal of Combinatorics 25 (1), 12, 2018
Dimension-free log-Sobolev inequalities for mixture distributions
HB Chen, S Chewi, J Niles-Weed
arXiv preprint arXiv:2102.11476, 2021
Optimal dimension dependence of the Metropolis-Adjusted Langevin Algorithm
S Chewi, C Lu, K Ahn, X Cheng, TL Gouic, P Rigollet
arXiv preprint arXiv:2012.12810, 2020
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