Показать фильтр

2023

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

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

Ablaev S.S., Stonyakin F.S., Alkousa M.S., Pasechnyk D.A. Adaptive Methods for Variational Inequalities with Relatively Smooth and Reletively Strongly Monotone Operators (2023) Programming and Computer Software, 49 (6), pp. 485 - 492 Scopus DOI Q3

Sadykov S.I., Lobanov A.V., Raigorodskii A.M. Gradient-Free Algorithms for Solving Stochastic Saddle Optimization Problems with the Polyak–Łojasiewicz Condition (2023) Programming and Computer Software, 49 (6), pp. 535 - 547 Scopus DOI Q3

Stonyakin F.S., Ablaev S.S., Baran I.V., Alkousa M.S. Subgradient methods for weakly convex and relatively weakly convex problems with a sharp minimum (2023) Сomputer Research and Modeling, 15 (2), pp. 393 - 412 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

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

Chen J., Lobanov A.V., Rogozin A.V. Nonsmooth Distributed Min-Max Optimization Using the Smoothing Technique (2023) Computer Research and Modeling, 15 (2), pp. 469 - 480 Scopus DOI Q4

Vostrikov D.D., Konin G.O., Lobanov A.V., Matyukhin V.V. Influence of the mantissa finiteness on the accuracy of gradient-free optimization methods (2023) Computer Research and Modeling, 15 (2), pp. 259 - 280 Scopus DOI Q4

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

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

Ablaev, S.S., Stonyakin, F.S., Alkousa, M.S., Gasnikov, A.V. Adaptive subgradient methods for mathematical programming problems with quasi-convex functions (2023) Trudy Instituta Matematiki i Mekhaniki UrO RAN, 29 (3), pp. 7-25. Scopus DOI

Stonyakin, F., Alkousa, M., Titov, A., Savchuk, O., Gasnikov, A. Adaptive algorithms for relatively lipschitz continuous convex optimization problems (2023) Pure and Applied Functional Analysis, 8 (5), pp. 1505-1526. Scopus

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

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

Используя этот сайт, вы соглашаетесь с тем, что мы используем файлы cookie.