Publications

Gladin, E., Sadiev, A., Gasnikov, A., Dvurechensky, P., Beznosikov, A., Alkousa, M. Solving Smooth Min-Min and Min-Max Problems by Mixed Oracle Algorithms (2021) Communications in Computer and Information Science, 1476 CCIS, pp. 19-40. Scopus DOI Q4

Titov, A.A., Stonyakin, F.S., Alkousa, M.S., Gasnikov, A.V. Algorithms for Solving Variational Inequalities and Saddle Point Problems with Some Generalizations of Lipschitz Property for Operators (2021) Communications in Computer and Information Science, 1476 CCIS, pp. 86-101. Scopus DOI Q4

Beznosikov, A., Novitskii, V., Gasnikov, A. One-Point Gradient-Free Methods for Smooth and Non-smooth Saddle-Point Problems (2021) Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 12755 LNCS, pp. 144-158. Scopus DOI Q4

Kotliarova, E.V., Gasnikov, A.V., Gasnikova, E.V., Yarmoshik, D.V. Finding equilibrium in two-stage traffic assignment model [Поиск равновесий в двухстадийных моделях распределения транспортных потоков по сети] (2021) Computer Research and Modeling, 13 (2), pp. 365-379. Scopus WOS DOI Q4

Beznosikov, A., Rogozin, A., Scutari, G., Gasnikov, A. Distributed Saddle-Point Problems Under Similarity (2021) Advances in Neural Information Processing Systems, 10, pp. 8172-8184. Scopus WOS DOI

Rogozin, A., Bochko, M., Dvurechensky, P., Gasnikov, A., Lukoshkin, V. An Accelerated Method for Decentralized Distributed Stochastic Optimization over Time-Varying Graphs (2021) Proceedings of the IEEE Conference on Decision and Control, 2021-December, pp. 3367-3373. Scopus WOS DOI

Agafonov, A., Dvurechensky, P., Scutari, G., Gasnikov, A., Kamzolov, D., Lukashevich, A., Daneshmand, A. An Accelerated Second-Order Method for Distributed Stochastic Optimization (2021) Proceedings of the IEEE Conference on Decision and Control, 2021-December, pp. 2407-2413. Scopus WOS DOI

Sergey Guminov, Pavel E. Dvurechensky, Nazarii Tupitsa, Alexander V. Gasnikov. On a Combination of Alternating Minimization and Nesterov's Momentum (2021) Scopus DOI

Gorbunov, E., Danilova, M., Gasnikov, A. Stochastic optimization with heavy-tailed noise via accelerated gradient clipping (2020) Advances in Neural Information Processing Systems, 2020-December. Scopus WOS DOI A*

Rogozin, A., Uribe, C.A., Gasnikov, A.V., Malkovsky, N., Nedic, A. Optimal distributed convex optimization on slowly time-varying graphs (2020) IEEE Transactions on Control of Network Systems, 7 (2), статья № 8882272, pp. 829-841. Scopus WOS DOI Q1

Alkousa, M.S., Gasnikov, A.V., Dvinskikh, D.M., Kovalev, D.A., Stonyakin, F.S. Accelerated Methods for Saddle-Point Problem (2020) Computational Mathematics and Mathematical Physics, 60 (11), pp. 1787-1809. Scopus DOI Q2

Dvinskikh, D.M., Tyurin, A.I., Gasnikov, A.V., Omel’chenko, C.C. Accelerated and Unaccelerated Stochastic Gradient Descent in Model Generality (2020) Mathematical Notes, 108 (3-4), pp. 511-522. Scopus WOS DOI Q2

Dvinskikh, D.M., Omelchenko, S.S., Gasnikov, A.V., Tyurin, A.I. Accelerated Gradient Sliding for Minimizing a Sum of Functions (2020) Doklady Mathematics, 101 (3), pp. 244-246. Scopus WOS DOI Q2

Daniil Tiapkin, Alexander V. Gasnikov, Pavel E. Dvurechensky. Stochastic Saddle-Point Optimization for Wasserstein Barycenters (2020) Scopus DOI Q2

Ivanova, A., Stonyakin, F., Pasechnyuk, D., Vorontsova, E., Gasnikov, A. Adaptive mirror descent for the network utility maximization problem (2020) IFAC-PapersOnLine, 53, pp. 7851-7856. Scopus WOS DOI Q3