Публикации

Lobanov, A., Bashirov, N., Gasnikov, A. The “Black-Box” Optimization Problem: Zero-Order Accelerated Stochastic Method via Kernel Approximation (2024) Journal of Optimization Theory and Applications, 203 (3), pp. 2451-2486. Scopus DOI Q1

Gorbunov, E., Danilova, M., Shibaev, I., Dvurechensky, P., Gasnikov, A. High-Probability Complexity Bounds for Non-smooth Stochastic Convex Optimization with Heavy-Tailed Noise (2024) Journal of Optimization Theory and Applications, 203 (3), pp. 2679-2738. Scopus DOI Q1

Klimza, A., Gasnikov, A., Stonyakin, F., Alkousa, M. Universal methods for variational inequalities: Deterministic and stochastic cases (2024) Chaos, Solitons and Fractals, 187, статья № 115418, . Scopus DOI Q1

Pichugin, A., Pechin, M., Beznosikov, A., Novitskii, V., Gasnikov, A. Method with batching for stochastic finite-sum variational inequalities in non-Euclidean setting (2024) Chaos, Solitons and Fractals, 187, статья № 115396, . Scopus DOI Q1

Alkousa, M., Stonyakin, F., Gasnikov, A., Abdo, A., Alcheikh, M. Higher degree inexact model for optimization problems (2024) Chaos, Solitons and Fractals, 186, статья № 115292, . Scopus DOI Q1

Statkevich, E., Bondar, S., Dvinskikh, D., Gasnikov, A., Lobanov, A. Gradient-free algorithm for saddle point problems under overparametrization (2024) Chaos, Solitons and Fractals, 185, статья № 115048, . Scopus DOI Q1

Dvurechensky, P., Ostroukhov, P., Gasnikov, A., Uribe, C.A., Ivanova, A. Near-optimal tensor methods for minimizing the gradient norm of convex functions and accelerated primal–dual tensor methods (2024) Optimization Methods and Software, 39 (5), pp. 1068-1103. Scopus DOI Q1

Rogozin, A., Beznosikov, A., Dvinskikh, D., Kovalev, D., Dvurechensky, P., Gasnikov, A. Decentralized saddle point problems via non-Euclidean mirror prox (2024) Optimization Methods and Software. Scopus DOI Q1

Agafonov, A., Kamzolov, D., Dvurechensky, P., Gasnikov, A., Takáč, M. Inexact tensor methods and their application to stochastic convex optimization (2024) Optimization Methods and Software, 39 (1), pp. 42-83. Scopus DOI Q1

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

Solodkin, V., Chezhegov, S., Nazikov, R., Beznosikov, A., Gasnikov, A. Accelerated Stochastic Gradient Method with Applications to Consensus Problem in Markov-Varying Networks (2024) Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 14766 LNCS, pp. 69-86. Scopus DOI Q2

Nguyen, N.T., Rogozin, A., Metelev, D., Gasnikov, A. Min-Max Optimization over Slowly Time-Varying Graphs (2024) Doklady Mathematics, 108 (Suppl 2), pp. S300-S309. Scopus DOI Q2

Meruza Kubentayeva, Demyan Yarmoshik, Mikhail Persiianov, Alexey Kroshnin, Ekaterina Kotliarova, Nazarii Tupitsa, Dmitry Pasechnyuk, Alexander Gasnikov, Vladimir Shvetsov, Leonid Baryshev, Alexey Shurupov. Primal-Dual Gradient Methods for Searching Network Equilibria in Combined Models with Nested Choice Structure and Capacity Constraints (2024) Scopus DOI Q3

Krivchenko, V.O., Gasnikov, A.V., Kovalev, D.A. Convex-Concave Interpolation and Application of PEP to the Bilinear-Coupled Saddle Point Problem (2024) Russian Journal of Nonlinear Dynamics, 20 (5), pp. 875-893. Scopus DOI Q3

Akindinov, G.D., Gasnikov, A.V., Krivorotko, O.I., Matyukhin, V.V., Pletnev, N.V. Gradient-type Approaches to Inverse and Ill-Posed Problems of Mathematical Physics (2024) Computational Mathematics and Mathematical Physics, 64 (9), pp. 1974-1990. Scopus DOI Q3