Sinho Chewi
Title
Cited by
Cited by
Year
Gradient descent algorithms for Bures-Wasserstein barycenters
S Chewi, T Maunu, P Rigollet, AJ Stromme
Conference on Learning Theory 2020 125, 1276-1304, 2020
312020
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
152020
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
122020
Optimal dimension dependence of the Metropolis-adjusted Langevin algorithm
S Chewi, C Lu, K Ahn, X Cheng, T Le Gouic, P Rigollet
Conference on Learning Theory, 1260-1300, 2021
92021
Efficient constrained sampling via the mirror-Langevin algorithm
K Ahn, S Chewi
arXiv preprint arXiv:2010.16212, 2020
62020
Dimension-free log-Sobolev inequalities for mixture distributions
HB Chen, S Chewi, J Niles-Weed
Journal of Functional Analysis 281 (11), 109236, 2021
42021
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
42021
A combinatorial proof of a formula of Biane and Chapuy
S Chewi, V Anantharam
The Electronic Journal of Combinatorics 25 (1), 12, 2018
22018
The query complexity of sampling from strongly log-concave distributions in one dimension
S Chewi, P Gerber, C Lu, TL Gouic, P Rigollet
arXiv preprint arXiv:2105.14163, 2021
12021
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
12019
Analysis of Langevin Monte Carlo from Poincaré to log-Sobolev
S Chewi, MA Erdogdu, MB Li, R Shen, M Zhang
arXiv preprint arXiv:2112.12662, 2021
2021
The entropic barrier is -self-concordant
S Chewi
arXiv preprint arXiv:2112.10947, 2021
2021
Gaussian discrepancy: a probabilistic relaxation of vector balancing
S Chewi, P Gerber, P Rigollet, P Turner
arXiv preprint arXiv:2109.08280, 2021
2021
Averaging on the Bures-Wasserstein manifold: dimension-free convergence of gradient descent
JM Altschuler, S Chewi, P Gerber, AJ Stromme
arXiv preprint arXiv:2106.08502, 2021
2021
Rejection sampling from shape-constrained distributions in sublinear time
S Chewi, P Gerber, C Lu, TL Gouic, P Rigollet
arXiv preprint arXiv:2105.14166, 2021
2021
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Articles 1–15