| Gradient descent algorithms for Bures-Wasserstein barycenters S Chewi, T Maunu, P Rigollet, AJ Stromme Conference on Learning Theory, 1276-1304, 2020 | 24 | 2020 |
| 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 | 14 | 2019 |
| Exponential ergodicity of mirror-Langevin diffusions S Chewi, TL Gouic, C Lu, T Maunu, P Rigollet, AJ Stromme arXiv preprint arXiv:2005.09669, 2020 | 10 | 2020 |
| 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 | 2 | 2021 |
| 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 | 2 | 2018 |
| 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 | 1 | 2015 |
| 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 |
