Крошнин Алексей Владимирович

Публикации⁶

• Статья Suvorikova A., Spokoiny V., Kroshnin A. Statistical inference for Bures-Wasserstein barycenters // Annals of Applied Probability. 2020 (в печати)
• Глава книги Stonyakin F., Dvinskikh D., Dvurechensky P., Kroshnin A., Kuznetsova O., Agafonov A., Gasnikov A., Tyurin A., Uribe C., Pasechnyuk D., Artamonov S. Gradient Methods for Problems with Inexact Model of the Objective, in: Mathematical Optimization Theory and Operations Research, 18th International Conference, MOTOR 2019 Ekaterinburg, Russia, July 8–12, 2019 / Ed. by М. Ю. Хачай, Ю. А. Кочетов, P. M. Pardalos. Vol. 11548. Springer, 2019. P. 97-114. doi
• Глава книги Kroshnin A., Dvinskikh D., Dvurechensky P., Gasnikov Alexander, Tupitsa Nazarii, Uribe C. A. On the Complexity of Approximating Wasserstein Barycenters, in: Proceedings of Machine Learning Research Vol. 97: International Conference on Machine Learning, 9-15 June 2019, Long Beach, California, USA. PMLR, 2019. P. 3530-3540.
• Глава книги Dvurechensky P., Gasnikov A., Kroshnin A. Computational Optimal Transport: Complexity by Accelerated Gradient Descent Is Better Than by Sinkhorn’s Algorithm, in: Proceedings of Machine Learning Research Vol. 80: Proceedings of the International Conference on Machine Learning (ICML 2018). PMLR, 2018. P. 1367-1376.
• Глава книги Dvurechensky P., Gasnikov A., Kroshnin A. Computational optimal transport: Complexity by accelerated gradient descent is better than by Sinkhorn's algorithm, in: Proceedings of the 35th International Conference on Machine Learning (2018) Vol. 80. PMLR, 2018. P. 1367-1376.
• Статья Kroshnin A. Fréchet Barycenters in the Monge-Kantorovich Spaces // Journal of Convex Analysis. 2018. Vol. 25. No. 4. P. 1371-1395.