Austin J. Stromme

I am an assistant professor in the Statistics Department at ENSAE/CREST. I work at the high-dimensional intersection of optimization, geometry, and probability, and am particularly interested in statistical questions in optimal transport. I recently received my PhD from MIT EECS, where I was fortunate to be advised by Guy Bresler and Philippe Rigollet.

Online seminar on statistics and geometry

I am currently co-organizing an online seminar on statistics and geometry, please see the seminar homepage here. The aim is to promote communication between the two fields, and we encourage speakers to give synthetic and pedagogical talks of about one hour, aimed at a broad mathematical audience. We are happy to have Gil Kur joining us for our upcoming seminar:

On the Role of Gaussian Covariates in Minimum Norm Interpolation

Gil Kur
ETH Zurich
3pm CET Friday, June 27th, 2025

Papers

Sinho Chewi, Austin J. Stromme
Annales de l'Institut Henri Poincaré (B) Probabilités et Statistiques, 2025+

Omar Chehab, Anna Korba, Austin J. Stromme, Adrien Vacher
International Conference on Learning Representations (ICLR) 2025

Philippe Rigollet, Austin J. Stromme
Annals of Statistics 2025

Austin J. Stromme
Extended abstract in International Conference on Soft Methods in Probability and Statistics 2024, Best paper award

Austin J. Stromme
Conference on Artifical Intelligence and Statistics (AISTATS) 2023

Thibaut Le Gouic, Quentin Paris, Philippe Rigollet, Austin J. Stromme
Journal of the European Math Society (JEMS) 2022

Jason M. Altschuler, Jon Niles-Weed, Austin J. Stromme
SIAM Journal on Mathematical Analysis (SIMA) 2022

Jason M. Altschuler, Sinho Chewi, Patrik Gerber, Austin J. Stromme
Neural Information Processing Systems (NeurIPS) 2021 Spotlight presentation

Sinho Chewi, Julien Clancy, Thibaut Le Gouic, Philippe Rigollet, George Stepaniants, Austin J. Stromme
Artificial Intelligence and Statistics (AISTATS) 2021

Sinho Chewi, Thibaut Le Gouic, Chen Lu, Tyler Maunu, Philippe Rigollet, Austin J. Stromme
Neural Information Processing Systems (NeurIPS) 2020

Sinho Chewi, Tyler Maunu, Philippe Rigollet, Austin J. Stromme
Conference on Learning Theory (COLT) 2020

David Jekel, Avi Levy, Will Dana, Austin Stromme, Collin Litterell
SIAM Journal of Discrete Math (SIDMA) 2018

Nikki Carter, Brittany Dygert, Stephen Lacina, Collin Litterell, Austin Stromme, Andrew You
Rose-Hulman Undergraduate Math Journal 2016