35 citations to https://www.mathnet.ru/rus/at14682
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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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R. Bollapragada, M. Menickelly, W. Nazarewicz, J. O'Neal, P.-G. Reinhard, S. M. Wild, “Optimization and supervised machine learning methods for fitting numerical physics models without derivatives”, J. Phys. G-Nucl. Part. Phys., 48:2 (2021), 024001
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Aleksandr Beznosikov, Vasilii Novitskii, Alexander Gasnikov, Lecture Notes in Computer Science, 12755, Mathematical Optimization Theory and Operations Research, 2021, 144
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X. Luo, Ya. Zhang, M. M. Zavlanos, “Socially-aware robot planning via bandit human feedback”, 2020 Acm/IEEE 11Th International Conference on Cyber-Physical Systems (Iccps 2020), Acm-IEEE International Conference on Cyber-Physical Systems, IEEE Computer Soc, 2020, 216–225
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X. Yi, X. Li, T. Yang, L. Xie, T. Chai, K. H. Johansson, “A distributed primal-dual algorithm for bandit online convex optimization with time-varying coupled inequality constraints”, 2020 American Control Conference (Acc), Proceedings of the American Control Conference, IEEE, 2020, 327–332
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Alexander A. Titov, Fedor S. Stonyakin, Mohammad S. Alkousa, Seydamet S. Ablaev, Alexander V. Gasnikov, Communications in Computer and Information Science, 1275, Mathematical Optimization Theory and Operations Research, 2020, 133
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Xinlei Yi, Xiuxian Li, Tao Yang, Lihua Xie, Tianyou Chai, Karl H. Johansson, 2020 American Control Conference (ACC), 2020, 327
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Aleksandr Beznosikov, Abdurakhmon Sadiev, Alexander Gasnikov, Communications in Computer and Information Science, 1275, Mathematical Optimization Theory and Operations Research, 2020, 105
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Е. А. Воронцова, А. В. Гасников, Э. А. Горбунов, “Ускоренный спуск по случайному направлению с неевклидовой прокс-структурой”, Автомат. и телемех., 2019, № 4, 126–143
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M. S. Alkousa, “On some stochastic mirror descent methods for constrained online optimization problems”, Компьютерные исследования и моделирование, 11:2 (2019), 205–217