Публикации

Guminov, S., Gasnikov, A., Kuruzov, I. Accelerated methods for weakly-quasi-convex optimization problems (2023) Computational Management Science, 20 (1), статья № 36, . Scopus DOI Q2

Kornilov, N., Gasnikov, A., Dvurechensky, P., Dvinskikh, D. Gradient-free methods for non-smooth convex stochastic optimization with heavy-tailed noise on convex compact (2023) Computational Management Science, 20 (1), статья № 37, . Scopus DOI Q2

Lobanov, A., Veprikov, A., Konin, G., Beznosikov, A., Gasnikov, A., Kovalev, D. Non-smooth setting of stochastic decentralized convex optimization problem over time-varying Graphs (2023) Computational Management Science, 20 (1), статья № 48. Scopus DOI Q2

Alashqar, B.A., Gasnikov, A.V., Dvinskikh, D.M., Lobanov, A.V. Gradient-free Federated Learning Methods with l 1 and l 2-randomization for Non-smooth Convex Stochastic Optimization Problems (2023) Computational Mathematics and Mathematical Physics, 63 (9), pp. 1600-1653. Scopus DOI  Q2

Alkousa, M.S., Gasnikov, A.V., Gladin, E.L., Kuruzov, I.A., Pasechnyuk, D.A., Stonyakin, F.S. Solving strongly convex-concave composite saddle-point problems with low dimension of one group of variables (2023) Sbornik Mathematics, 214 (3), pp. 285-333. Scopus DOI Q2

Pichugin, A., Pechin, M., Beznosikov, A., Savchenko, A., Gasnikov, A. Optimal Analysis of Method with Batching for Monotone Stochastic Finite-Sum Variational Inequalities (2023) Doklady Mathematics, 108 (Suppl 2), pp. S348-S359. Scopus DOI Q2

Pasechnyuk, D.A., Persiianov, M., Dvurechensky, P., Gasnikov, A. Algorithms for Euclidean-Regularised Optimal Transport (2023) Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 14395 LNCS, pp. 84-98. Scopus DOI Q2

Lobanov, A., Gasnikov, A. Accelerated Zero-Order SGD Method for Solving the Black Box Optimization Problem Under “Overparametrization” Condition (2023) Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 14395 LNCS, pp. 72-83. Scopus DOI Q2

Chezhegov, S., Rogozin, A., Gasnikov, A. On Decentralized Nonsmooth Optimization (2023) Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 13930 LNCS, pp. 25-38. Scopus DOI Q3

Beznosikov, A., Gasnikov, A. SARAH-Based Variance-Reduced Algorithm for Stochastic Finite-Sum Cocoercive Variational Inequalities (2023) Springer Optimization and Its Applications, 202, pp. 47-57. Scopus DOI Q3

Demyan Yarmoshik, Alexander Rogozin, Alexander Gasnikov. Decentralized optimization with affine constraints over time-varying networks (2023) Scopus DOI Q3

Nikita Iltyakov, Mark Obozov, Igor Dyslevski, Demyan Yarmoshik, Meruza Kubentayeva, Alexander Gasnikov. On Accelerated Coordinate Descent Methods for Searching Equilibria in Two-Stage Transportation Equilibrium Traffic Flow Distribution Model (2023) Scopus DOI Q3

Ablaev, S.S., Stonyakin, F.S., Alkousa, M.S., Gasnikov, A.V. Adaptive Subgradient Methods for Mathematical Programming Problems with Quasiconvex Functions (2023) Proceedings of the Steklov Institute of Mathematics, 323, pp. S1-S18. Scopus DOI Q3

Il’tyakov, N.A., Obozov, M.A., Dyshlevski, I.M., Yarmoshik, D.V., Kubentaeva, M.B., Gasnikov, A.V., Gasnikova, E.V. On Accelerated Coordinate Descent Methods for Searching Equilibria in Two-Stage Transportation Equilibrium Traffic Flow Distribution Model (2023) Programming and Computer Software, 49 (6), pp. 513-524. Scopus DOI Q3

Vedernikov, R.A., Rogozin, A.V., Gasnikov, A.V. Decentralized Conditional Gradient Method on Time-Varying Graphs (2023) Programming and Computer Software, 49 (6), pp. 505-512. Scopus DOI Q3