Публикации

Parsegov, S., Kubentayeva, S., Gryazina, E., Gasnikov, A., Ibáñez, F. ADMM-based Distributed State Estimation for Power Systems: Evaluation of Performance (2020) IFAC-PapersOnLine, 53 (5), pp. 182-188. Scopus DOI Q3

Dvinskikh, D., Ogaltsov, A., Gasnikov, A., Dvurechensky, P., Spokoiny, V. On the line-search gradient methods for stochastic optimization (2020) IFAC-PapersOnLine, 53, pp. 1715-1720. Scopus WOS DOI Q3

Beznosikov, A., Gorbunov, E., Gasnikov, A. Derivative-free method for composite optimization with applications to decentralized distributed optimization (2020) IFAC-PapersOnLine, 53, pp. 4038-4043. Scopus WOS DOI Q3

Rogozin, A., Gasnikov, A. Penalty-Based Method for Decentralized Optimization over Time-Varying Graphs (2020) Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 12422 LNCS, pp. 239-256. Scopus WOS DOI Q3

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