| Computational optimal transport: Complexity by accelerated gradient descent is better than by Sinkhorn’s algorithm P Dvurechensky, A Gasnikov, A Kroshnin International conference on machine learning, 1367-1376, 2018 | 180 | 2018 |
| On the complexity of approximating Wasserstein barycenter A Kroshnin, D Dvinskikh, P Dvurechensky, A Gasnikov, N Tupitsa, C Uribe International conference on machine learning, 3530-3540, 2019 | 80 | 2019 |
| Gradient methods for problems with inexact model of the objective FS Stonyakin, D Dvinskikh, P Dvurechensky, A Kroshnin, O Kuznetsova, ... International Conference on Mathematical Optimization Theory and Operations …, 2019 | 45 | 2019 |
| Statistical inference for Bures–Wasserstein barycenters A Kroshnin, V Spokoiny, A Suvorikova The Annals of Applied Probability 31 (3), 1264-1298, 2021 | 26 | 2021 |
| Inexact model: A framework for optimization and variational inequalities F Stonyakin, A Tyurin, A Gasnikov, P Dvurechensky, A Agafonov, ... Optimization Methods and Software, 1-47, 2021 | 24 | 2021 |
| Robust k-means clustering for distributions with two moments Y Klochkov, A Kroshnin, N Zhivotovskiy The Annals of Statistics 49 (4), 2206-2230, 2021 | 12 | 2021 |
| Fréchet barycenters in the Monge-Kantorovich spaces A Kroshnin Journal of Convex Analysis 25 (4), 1371-1395, 2018 | 10 | 2018 |
| Entropic-Wasserstein barycenters: PDE characterization, regularity, and CLT G Carlier, K Eichinger, A Kroshnin SIAM Journal on Mathematical Analysis 53 (5), 5880-5914, 2021 | 6 | 2021 |
| Fréchet Barycenters and a Law of Large Numbers for Measures on the Real Line A Kroshnin, A Sobolevski arXiv preprint arXiv:1512.08421, 2015 | 2 | 2015 |
| Multiplier bootstrap for Bures-Wasserstein barycenters A Kroshnin, V Spokoiny, A Suvorikova arXiv preprint arXiv:2111.12612, 2021 | 1 | 2021 |
| Diffeomorphic metric learning and template optimization for registration-based predictive models A Mussabayeva, M Pisov, A Kurmukov, A Kroshnin, Y Denisova, L Shen, ... Multimodal Brain Image Analysis and Mathematical Foundations of …, 2019 | 1 | 2019 |
| Image registration and predictive modeling: learning the metric on the space of diffeomorphisms A Mussabayeva, A Kroshnin, A Kurmukov, Y Denisova, L Shen, S Cong, ... International Workshop on Shape in Medical Imaging, 160-168, 2018 | 1 | 2018 |
| On the properties of some low-parameter models for color reproduction in terms of spectrum transformations and coverage of a color triangle A Kroshnin, V Vasilev, E Ershov, D Shepelev, D Nikolaev, M Tchobanou JOSA A 39 (3), 452-458, 2022 | | 2022 |
| Infinite multidimensional scaling for metric measure spaces A Kroshnin, E Stepanov, D Trevisan arXiv preprint arXiv:2201.05885, 2022 | | 2022 |
| Slope detection criterion robust to sparse 2D data D Bocharov, A Kroshnin, D Nikolaev Thirteenth International Conference on Machine Vision 11605, 134-140, 2021 | | 2021 |
Alexander GasnikovMIPTVerified email at mipt.ru
