N. A. Il'tyakov, M. A. Obozov, I. M. Dyshlevski, D. V. Yarmoshik, M. B. Kubentaeva, A. V. Gasnikov, E. V. Gasnikova, “On Accelerated Coordinate Descent Methods for Searching Equilibria in Two-Stage Transportation Equilibrium Traffic Flow Distribution Model”, Program Comput Soft, 49:6 (2023), 513
Adrien Taylor, Yoel Drori, “An optimal gradient method for smooth strongly convex minimization”, Math. Program., 199:1-2 (2023), 557
E. V. Gasnikova, A. V. Gasnikov, D. V. Yarmoshik, M. B. Kubentaeva, M. I. Persianov, I. V. Podlipnova, E. V. Kotlyarova, I. A. Sklonin, E. D. Podobnaya, V. V. Matyukhin, “Multistage Transportation Model and Sufficient Conditions for Its Potentiality”, Dokl. Math., 108:S1 (2023), S139
М. Ю. Данилова, “Методы, использующие градиентный клиппинг, для задач стохастической оптимизации с тяжелым шумом”, Докл. РАН. Матем., информ., проц. упр., 514:2 (2023), 99–108 ; M. Yu. Danilova, “Algorithms with gradient clipping for stochastic optimization with heavy-tailed noise”, Dokl. Math., 108:suppl. 2 (2023), S248–S256
Bo-Ou Jiang, Ya-Xiang Yuan, “An Accelerated Stochastic Mirror Descent Method”, J. Oper. Res. Soc. China, 2023
Elena Tovbis, Vladimir Krutikov, Predrag Stanimirović, Vladimir Meshechkin, Aleksey Popov, Lev Kazakovtsev, “A Family of Multi-Step Subgradient Minimization Methods”, Mathematics, 11:10 (2023), 2264
E. L. Gladin, E. D. Borodich, “Variance reduction for minimax problems with a small dimension of one of the variables”, Компьютерные исследования и моделирование, 14:2 (2022), 257–275
Pavel Dvurechensky, Dmitry Kamzolov, Aleksandr Lukashevich, Soomin Lee, Erik Ordentlich, César A. Uribe, Alexander Gasnikov, “Hyperfast second-order local solvers for efficient statistically preconditioned distributed optimization”, EURO Journal on Computational Optimization, 10 (2022), 100045
Fedor Stonyakin, Alexander Gasnikov, Pavel Dvurechensky, Alexander Titov, Mohammad Alkousa, “Generalized Mirror Prox Algorithm for Monotone Variational Inequalities: Universality and Inexact Oracle”, J Optim Theory Appl, 194:3 (2022), 988
Vladimir Krutikov, Svetlana Gutova, Elena Tovbis, Lev Kazakovtsev, Eugene Semenkin, “Relaxation Subgradient Algorithms with Machine Learning Procedures”, Mathematics, 10:21 (2022), 3959