Публикации

Kamzolov, D., Gasnikov, A., Dvurechensky, P. Optimal Combination of Tensor Optimization Methods (2020) Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 12422 LNCS, pp. 166-183. Scopus WOS DOI Q3

Dvurechensky, P., Gasnikov, A., Omelchenko, S., Tiurin, A. A Stable Alternative to Sinkhorn’s Algorithm for Regularized Optimal Transport (2020) Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 12095 LNCS, pp. 406-423. Scopus DOI Q3

Ostroukhov P.A., Kamalov R.A., Dvurechensky P.E., Gasnikov A.V. Tensor methods for strongly convex strongly concave saddle point problems and strongly monotone variational inequalities // Computer Research and Modeling, Vol. 14, No. 2, P. 357 - 376 Scopus WOS DOI Q4

Bazarova A.I., Beznosikov A.N., Gasnikov A.V. Linearly convergent gradient-free methods for minimization of parabolic approximation // Computer Research and Modeling, Vol. 14, No. 2, P. 239 - 255 Scopus WOS DOI Q4

Titov, A.A., Stonyakin, F.S., Alkousa, M.S., Ablaev, S.S., Gasnikov, A.V. Analogues of Switching Subgradient Schemes for Relatively Lipschitz-Continuous Convex Programming Problems (2020) Communications in Computer and Information Science, 1275 CCIS, pp. 133-149. Scopus WOS DOI Q4

Tupitsa, N., Gasnikov, A., Dvurechensky, P., Guminov, S. Strongly Convex Optimization for the Dual Formulation of Optimal Transport (2020) Communications in Computer and Information Science, 1275 CCIS, pp. 192-204. Scopus WOS DOI Q4

Beznosikov, A., Sadiev, A., Gasnikov, A. Gradient-Free Methods with Inexact Oracle for Convex-Concave Stochastic Saddle-Point Problem (2020) Communications in Computer and Information Science, 1275 CCIS, pp. 105-119. Scopus DOI Q4

Stonyakin, F.S., Stepanov, A.N., Gasnikov, A.V., Titov, A.A. Mirror descent for constrained optimization problems with large subgradient values of functional constraints [Метод зеркального спуска для условных задач оптимизации с большими значениями норм субградиентов функциональных ограничений] (2020) Computer Research and Modeling, 12 (2), pp. 301-317. Scopus DOI Q4

Tupitsa, N., Dvurechensky, P., Gasnikov, A., Uribe, C.A. Multimarginal Optimal Transport by Accelerated Alternating Minimization (2020) Proceedings of the IEEE Conference on Decision and Control, 2020-December, статья № 9304010, pp. 6132-6137. Scopus WOS DOI

Dvurechensky, P.E., Gasnikov, A.V., Nurminski, E.A., Stonyakin, F.S. Advances in low-memory subgradient optimization (2020) Numerical Nonsmooth Optimization: State of the Art Algorithms, pp. 19-59. Scopus DOI

Guminov, S., Gasnikov, A., Anikin, A., Gornov, A. A universal modification of the linear coupling method (2019) Optimization Methods and Software, 34 (3), pp. 560-577. Scopus DOI Q1

Yakovlev, P.A., Anikin, A.S., Bol’shakova, O.A., Gasnikov, A.V., Gornov, A.Y., Ermak, T.V., Makarenko, D.V., Morozov, V.P., Neterebskii, B.O. Local Algorithms for Minimizing the Force Field for 3D Representation of Macromolecules (2019) Computational Mathematics and Mathematical Physics, 59 (12), pp. 1994-2008. Scopus DOI Q2

Gorbunov, É.A., Vorontsova, E.A., Gasnikov, A.V. On the Upper Bound for the Expectation of the Norm of a Vector Uniformly Distributed on the Sphere and the Phenomenon of Concentration of Uniform Measure on the Sphere (2019) Mathematical Notes, 106 (1-2), pp. 11-19. Scopus DOI Q2

Gasnikov, A.V., Tyurin, A.I. Fast Gradient Descent for Convex Minimization Problems with an Oracle Producing a (δ, L)-Model of Function at the Requested Point (2019) Computational Mathematics and Mathematical Physics, 59 (7), pp. 1085-1097. Scopus DOI Q2

Gasnikov, A.V., Dvurechensky, P.E., Stonyakin, F.S., Titov, A.A. An Adaptive Proximal Method for Variational Inequalities (2019) Computational Mathematics and Mathematical Physics, 59 (5), pp. 836-841. Scopus DOI Q2