Austin J. Stromme
Austin J. Stromme
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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, 1276-1304, 2020
242020
Fast convergence of empirical barycenters in Alexandrov spaces and the Wasserstein space
TL Gouic, Q Paris, P Rigollet, AJ Stromme
arXiv preprint arXiv:1908.00828, 2019
142019
Exponential ergodicity of mirror-Langevin diffusions
S Chewi, TL Gouic, C Lu, T Maunu, P Rigollet, AJ Stromme
arXiv preprint arXiv:2005.09669, 2020
102020
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
22021
Algebraic Properties of Generalized Graph Laplacians: Resistor Networks, Critical Groups, and Homological Algebra
D Jekel, A Levy, W Dana, A Stromme, C Litterell
SIAM Journal on Discrete Mathematics 32 (2), 1040-1110, 2018
22018
Frog model wakeup time on the complete graph
N Cartern, B Dygert, M Junge, S Lacina, C Litterell, A Stromme, A You
arXiv preprint arXiv:1510.05995, 2015
12015
Asymptotics for semi-discrete entropic optimal transport
JM Altschuler, J Niles-Weed, AJ Stromme
arXiv preprint arXiv:2106.11862, 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
Wasserstein barycenters: statistics and optimization
AJ Stromme
Massachusetts Institute of Technology, 2020
2020
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Articles 1–9