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 Philippe Rigollet and Guy Bresler.

Hiring a postdoc

I have funding available for a one year postdoc in the Paris area, with the option to renew for a second year. I am searching for candidates with a strong background in mathematical statistics, optimization, Riemannian geometry (especially geometry of manifolds with group symmetries), or functional inequalities. The research directions are dependent on the interest and experience of the candidate but would involve applying the above to problems in statistical optimal transport, the theory of deep learning, Euclidean/manifold optimization, and sampling. The position pays approximately 2500€/month, and there is no required teaching. There is also 5000€/year for travel expenses. Please email me at austin.stromme@ensae.fr if you are interested.

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. Check back here soon for information about our first talk of the 2024-2025 year.

Papers

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

Philippe Rigollet, Austin J. Stromme
Annals of Statistics 2024+

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