8 citations to https://www.mathnet.ru/rus/sjvm667
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Eduard Gorbunov, Pavel Dvurechensky, Alexander Gasnikov, “An Accelerated Method for Derivative-Free Smooth Stochastic Convex Optimization”, SIAM J. Optim., 32:2 (2022), 1210
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Ivanova A., Dvurechensky P., Gasnikov A., Kamzolov D., “Composite Optimization For the Resource Allocation Problem”, Optim. Method Softw., 36:4 (2021), 720–754
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D. Dvinskikh, A. Gasnikov, “Decentralized and parallel primal and dual accelerated methods for stochastic convex programming problems”, J. Inverse Ill-Posed Probl., 29:3 (2021), 385–405
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P. Dvurechensky, E. Gorbunov, A. Gasnikov, “An accelerated directional derivative method for smooth stochastic convex optimization”, Eur. J. Oper. Res., 290:2 (2021), 601–621
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Alexander Rogozin, Mikhail Bochko, Pavel Dvurechensky, Alexander Gasnikov, Vladislav Lukoshkin, 2021 60th IEEE Conference on Decision and Control (CDC), 2021, 3367
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Artem Agafonov, Pavel Dvurechensky, Gesualdo Scutari, Alexander Gasnikov, Dmitry Kamzolov, Aleksandr Lukashevich, Amir Daneshmand, 2021 60th IEEE Conference on Decision and Control (CDC), 2021, 2407
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Darina Dvinskikh, Aleksandr Ogaltsov, Alexander Gasnikov, Pavel Dvurechensky, Vladimir Spokoiny, “On the line-search gradient methods for stochastic optimization”, IFAC-PapersOnLine, 53:2 (2020), 1715
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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