42 citations to https://www.mathnet.ru/rus/zvmmf10659
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N. A. Iltyakov, 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”, Programmirovanie, 2023, № 6, 36
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Pavel Dvurechensky, Alexander Gasnikov, Alexander Tyurin, Vladimir Zholobov, Springer Proceedings in Mathematics & Statistics, 425, Foundations of Modern Statistics, 2023, 511
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Т. А. Звонарева, С. И. Кабанихин, О. И. Криворотько, “Численный алгоритм определения источника диффузионно-логистической модели по данным интегрального типа, основанный на тензорной оптимизации”, Ж. вычисл. матем. и матем. физ., 63:9 (2023), 1513–1523 ; T. A. Zvonareva, S. I. Kabanikhin, O. I. Krivorot'ko, “Numerical algorithm for source determination in a diffusion–logistic model from integral data based on tensor optimization”, Comput. Math. Math. Phys., 63:9 (2023), 1654–1663
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Nikita Kornilov, Alexander Gasnikov, Pavel Dvurechensky, Darina Dvinskikh, “Gradient-free methods for non-smooth convex stochastic optimization with heavy-tailed noise on convex compact”, Comput Manag Sci, 20:1 (2023)
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Artem Vasin, Alexander Gasnikov, Pavel Dvurechensky, Vladimir Spokoiny, “Accelerated gradient methods with absolute and relative noise in the gradient”, Optimization Methods and Software, 38:6 (2023), 1180
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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
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Adrien Taylor, Yoel Drori, “An optimal gradient method for smooth strongly convex minimization”, Math. Program., 199:1-2 (2023), 557
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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
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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
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Bo-Ou Jiang, Ya-Xiang Yuan, “An Accelerated Stochastic Mirror Descent Method”, J. Oper. Res. Soc. China, 2023