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Metelev, D., Rogozin, A., Gasnikov, A., Kovalev, D. Decentralized saddle-point problems with different constants of strong convexity and strong concavity (2024) Computational Management Science, 21 (1), статья № 5. Scopus DOI Q2


Vasin, A., Gasnikov, A., Dvurechensky, P., Spokoiny, V. Accelerated gradient methods with absolute and relative noise in the gradient (2023) Optimization Methods and Software. Scopus DOI Q1

Beznosikov, A.N., Gasnikov, A.V., Zainullina, K.E., Maslovskii, A.Y., Pasechnyuk, D.A. A Unified Analysis of Variational Inequality Methods: Variance Reduction, Sampling, Quantization, and Coordinate Descent (2023) Computational Mathematics and Mathematical Physics, 63 (2), pp. 147-174. Scopus DOI Q2

Gasnikova, E., Gasnikov, A., Kholodov, Y., Zukhba, A. An Evolutionary View on Equilibrium Models of Transport Flows (2023) Mathematics, 11 (4), статья № 858. Scopus DOI Q2

Turdakov, D.Y., Avetisyan, A.I., Arkhipenko, K.V., Antsiferova, A.V., Vatolin, D.S., Volkov, S.S., Gasnikov, A.V., Devyatkin, D.A., Drobyshevsky, M.D., Kovalenko, A.P., Krivonosov, M.I., Lukashevich, N.V., Malykh, V.A., Nikolenko, S.I., Oseledets, I.V., Perminov, A.I., Sochenkov, I.V., Tikhomirov, M.M., Fedotov, A.N., Khachay, M.Y. Trusted Artificial Intelligence: Challenges and Promising Solutions (2022) Doklady Mathematics, 106, pp. S9-S13. Scopus DOI Q2

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

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

Tominin, Y.D., Tominin, V.D., Borodich, E.D., Kovalev, D.A., Dvurechensky, P.E., Gasnikov, A.V., Chukanov, S.V. On Accelerated Methods for Saddle-Point Problems with Composite Structure [Об ускоренных методах для седловых задач с композитной структурой] (2023) Computer Research and Modeling, 15 (2), pp. 433-467. Scopus DOI Q4

Lobanov, A., Anikin, A., Gasnikov, A., Gornov, A., Chukanov, S. Zero-Order Stochastic Conditional Gradient Sliding Method for Non-smooth Convex Optimization (2023) Communications in Computer and Information Science, 1881 CCIS, pp. 92-106. Scopus DOI Q4

Savchuk, O., Stonyakin, F., Alkousa, M., Zabirova, R., Titov, A., Gasnikov, A. Online Optimization Problems with Functional Constraints Under Relative Lipschitz Continuity and Relative Strong Convexity Conditions (2023) Communications in Computer and Information Science, 1881 CCIS, pp. 29-43. Scopus DOI  Q4

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