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
Т. А. Звонарева, О. И. Криворотько, “Сравнительный анализ градиентных методов определения источника диффузионно-логистической модели”, Ж. вычисл. матем. и матем. физ., 62:4 (2022), 694–704 ; T. A. Zvonareva, O. I. Krivorot'ko, “Comparative analysis of gradient methods for source identification in a diffusion-logistic model”, Comput. Math. Math. Phys., 62:4 (2022), 674–684
Darina Dvinskikh, Vladislav Tominin, Iaroslav Tominin, Alexander Gasnikov, Lecture Notes in Computer Science, 13367, Mathematical Optimization Theory and Operations Research, 2022, 18
Eduard Gorbunov, Alexander Rogozin, Aleksandr Beznosikov, Darina Dvinskikh, Alexander Gasnikov, Springer Optimization and Its Applications, 191, High-Dimensional Optimization and Probability, 2022, 253