Papers
On the implicit regularization of Langevin dynamics with projected noise
Govind Menon, Austin J. Stromme, Adrien Vacher
Conference on Learning Theory (COLT) 2026
The ballistic limit of the log-Sobolev constant equals the Polyak-Łojasiewicz constant
Sinho Chewi, Austin J. Stromme
Annales de l'Institut Henri Poincaré (B) Probabilités et Statistiques, 2026+
Provable Convergence and Limitations of Geometric Tempering for Langevin Dynamics
Omar Chehab, Anna Korba, Austin J. Stromme, Adrien Vacher
International Conference on Learning Representations (ICLR) 2025
On the sample complexity of entropic optimal transport
Philippe Rigollet, Austin J. Stromme
Annals of Statistics 2025
Minimum intrinsic dimension scaling for entropic optimal transport
Austin J. Stromme
Extended abstract in International Conference on Soft Methods in Probability and Statistics 2024,
Best paper award
Sampling from a Schrödinger bridge
Austin J. Stromme
Conference on Artifical Intelligence and Statistics (AISTATS) 2023
Fast convergence of empirical barycenters in Alexandrov spaces and the Wasserstein space
Thibaut Le Gouic, Quentin Paris, Philippe Rigollet, Austin J. Stromme
Journal of the European Math Society (JEMS) 2022
Asymptotics for semi-discrete entropic optimal transport
Jason M. Altschuler, Jon Niles-Weed, Austin J. Stromme
SIAM Journal on Mathematical Analysis (SIMA) 2022
Averaging on the Bures-Wasserstein manifold: dimension-free convergence of gradient descent
Jason M. Altschuler, Sinho Chewi, Patrik Gerber, Austin J. Stromme
Neural Information Processing Systems (NeurIPS) 2021 Spotlight presentation
Fast and Smooth Interpolation on Wasserstein Space
Sinho Chewi, Julien Clancy, Thibaut Le Gouic, Philippe Rigollet, George Stepaniants, Austin J. Stromme
Artificial Intelligence and Statistics (AISTATS) 2021
Exponential ergodicity of mirror-Langevin diffusions
Sinho Chewi, Thibaut Le Gouic, Chen Lu, Tyler Maunu, Philippe Rigollet, Austin J. Stromme
Neural Information Processing Systems (NeurIPS) 2020
Gradient descent algorithms for Bures-Wasserstein barycenters
Sinho Chewi, Tyler Maunu, Philippe Rigollet, Austin J. Stromme
Conference on Learning Theory (COLT) 2020
Algebraic Properties of Generalized Graph Laplacians
David Jekel, Avi Levy, Will Dana, Austin Stromme, Collin Litterell
SIAM Journal of Discrete Math (SIDMA) 2018
Frog Model Wakeup Time on the Complete Graph
Nikki Carter, Brittany Dygert, Stephen Lacina, Collin Litterell, Austin Stromme, Andrew You
Rose-Hulman Undergraduate Math Journal 2016