Публикации

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

Dvurechensky, P., Gasnikov, A., Tyurin, A., Zholobov, V. Unifying Framework for Accelerated Randomized Methods in Convex Optimization (2023) Springer Proceedings in Mathematics and Statistics, 425, pp. 511-561. Scopus DOI

Aleksandr Beznosikov, Martin Takáč, Alexander Gasnikov. Similarity, Compression and Local Steps: Three Pillars of Efficient Communications for Distributed Variational Inequalities (2023) Scopus DOI 

Aleksandr Beznosikov, Sergey Samsonov, Marina Sheshukova, Alexander Gasnikov, Alexey Naumov, Eric Moulines. First Order Methods with Markovian Noise: from Acceleration to Variational Inequalities (2023) Scopus DOI

Aleksandr Beznosikov, Peter Richtárik, Michael Diskin, Max Ryabinin, Alexander V. Gasnikov. Distributed Methods with Compressed Communication for Solving Variational Inequalities, with Theoretical Guarantees (2023) Scopus DOI 

Kovalev, D., Beznosikov, A., Borodich, E., Gasnikov, A., Scutari, G. Optimal Gradient Sliding and its Application to Distributed Optimization Under Similarity (2022) Advances in Neural Information Processing Systems, 35. Scopus WOS DOI  A*

Kovalev, D., Gasnikov, A., Richtárik, P. Accelerated Primal-Dual Gradient Method for Smooth and Convex-Concave Saddle-Point Problems with Bilinear Coupling (2022) Advances in Neural Information Processing Systems, 35. Scopus WOS DOI A*

Tian, Y., Scutari, G., Cao, T., Gasnikov, A. Acceleration in Distributed Optimization under Similarity (2022) Proceedings of Machine Learning Research, 151, pp. 5721-5756. Scopus WOS DOI A*

Beznosikov, A., Richtárik, P., Diskin, M., Ryabinin, M., Gasnikov, A. Distributed Methods with Compressed Communication for Solving Variational Inequalities, with Theoretical Guarantees (2022) Advances in Neural Information Processing Systems, 35. Scopus WOS DOI A*