31 citations to https://www.mathnet.ru/rus/zvmmf10598
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Pavel Dvurechensky, Alexander Gasnikov, Sergey Omelchenko, Alexander Tiurin, Lecture Notes in Computer Science, 12095, Mathematical Optimization Theory and Operations Research, 2020, 406
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Nazarii Tupitsa, Alexander Gasnikov, Pavel Dvurechensky, Sergey Guminov, Communications in Computer and Information Science, 1275, Mathematical Optimization Theory and Operations Research, 2020, 192
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S. Guminov, A. Gasnikov, A. Anikin, A. Gornov, “A universal modification of the linear coupling method”, Optim. Method Softw., 34:3 (2019), 560–577
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D. Dvinskikh, E. Gorbunov, A. Gasnikov, P. Dvurechensky, C. A. Uribe, “On primal and dual approaches for distributed stochastic convex optimization over networks”, 2019 IEEE 58Th Conference on Decision and Control (CDC), IEEE Conference on Decision and Control, IEEE, 2019, 7435–7440
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А. В. Гасников, А. И. Тюрин, “Быстрый градиентный спуск для задач выпуклой минимизации с оракулом, выдающим $(\delta,L)$-модель функции в запрошенной точке”, Ж. вычисл. матем. и матем. физ., 59:7 (2019), 1137–1150 ; A. V. Gasnikov, A. I. Turin, “Fast gradient descent for convex minimization problems with an oracle producing a $(\delta,L)$-model of function at the requested point”, Comput. Math. Math. Phys., 59:7 (2019), 1085–1097
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Darina Dvinskikh, Eduard Gorbunov, Alexander Gasnikov, Pavel Dvurechensky, Cesar A. Uribe, 2019 IEEE 58th Conference on Decision and Control (CDC), 2019, 7435
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А. В. Гасников, Е. В. Гасникова, Ю. Е. Нестеров, “Двойственные методы поиска равновесий в смешанных моделях распределения потоков в больших транспортных сетях”, Ж. вычисл. матем. и матем. физ., 58:9 (2018), 1447–1454 ; A. V. Gasnikov, E. V. Gasnikova, Yu. E. Nesterov, “Dual methods for finding equilibriums in mixed models of flow distribution in large transportation networks”, Comput. Math. Math. Phys., 58:9 (2018), 1395–1403
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P. Dvurechensky, D. Dvinskikh, A. Gasnikov, C. A. Uribe, A. Nedic, “Decentralize and randomize: faster algorithm for Wasserstein barycenters”, 32nd Conference on Neural Information Processing Systems (NeurIPS 2018), Advances in Neural Information Processing Systems, eds. S. Bengio, H. Wallach, H. Larochelle, K. Grauman, N. CesaBianchi, R. Garnett, 2018, 10760–10770
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Uribe C.A., Dvinskikh D., Dvurechensky P., Gasnikov A., Nedic A., “Distributed Computation of Wasserstein Barycenters Over Networks”, 2018 IEEE Conference on Decision and Control (Cdc), IEEE Conference on Decision and Control, IEEE, 2018, 6544–6549
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А. В. Гасников, Ю. Е. Нестеров, “Универсальный метод для задач стохастической композитной оптимизации”, Ж. вычисл. матем. и матем. физ., 58:1 (2018), 52–69 ; A. V. Gasnikov, Yu. E. Nesterov, “Universal method for stochastic composite optimization problems”, Comput. Math. Math. Phys., 58:1 (2018), 48–64