Публикации

Показать фильтр

2019

Yakovlev, P.A., Anikin, A.S., Bol’shakova, O.A., Gasnikov, A.V., Gornov, A.Y., Ermak, T.V., Makarenko, D.V., Morozov, V.P., Neterebskii, B.O. Local Algorithms for Minimizing the Force Field for 3D Representation of Macromolecules (2019) Computational Mathematics and Mathematical Physics, 59 (12), pp. 1994-2008. Scopus DOI Q2

Gorbunov, É.A., Vorontsova, E.A., Gasnikov, A.V. On the Upper Bound for the Expectation of the Norm of a Vector Uniformly Distributed on the Sphere and the Phenomenon of Concentration of Uniform Measure on the Sphere (2019) Mathematical Notes, 106 (1-2), pp. 11-19. Scopus DOI Q2

Gasnikov, A.V., Tyurin, A.I. Fast Gradient Descent for Convex Minimization Problems with an Oracle Producing a (δ, L)-Model of Function at the Requested Point (2019) Computational Mathematics and Mathematical Physics, 59 (7), pp. 1085-1097. Scopus DOI Q2

Gasnikov, A.V., Dvurechensky, P.E., Stonyakin, F.S., Titov, A.A. An Adaptive Proximal Method for Variational Inequalities (2019) Computational Mathematics and Mathematical Physics, 59 (5), pp. 836-841. Scopus DOI Q2

Guminov, S.V., Nesterov, Y.E., Dvurechensky, P.E., Gasnikov, A.V. Accelerated Primal-Dual Gradient Descent with Linesearch for Convex, Nonconvex, and Nonsmooth Optimization Problems (2019) Doklady Mathematics, 99 (2), pp. 125-128. Scopus DOI Q2

Gasnikov, A.V., Gorbunov, E.A., Kovalev, D.A., Mokhammed, A.A.M., Chernousova, E.O. Reachability of Optimal Convergence Rate Estimates for High-Order Numerical Convex Optimization Methods (2019) Doklady Mathematics, 99 (1), pp. 91-94. Scopus DOI Q2

Baimurzina, D.R., Gasnikov, A.V., Gasnikova, E.V., Dvurechensky, P.E., Ershov, E.I., Kubentaeva, M.B., Lagunovskaya, A.A. Universal Method of Searching for Equilibria and Stochastic Equilibria in Transportation Networks (2019) Computational Mathematics and Mathematical Physics, 59 (1), pp. 19-33. Scopus DOI Q2

Vorontsova, E.A., Gasnikov, A.V., Gorbunov, E.A., Dvurechenskii, P.E. Accelerated Gradient-Free Optimization Methods with a Non-Euclidean Proximal Operator (2019) Automation and Remote Control, 80 (8), pp. 1487-1501. Scopus DOI Q3

Vorontsova, E.A., Gasnikov, A.V., Gorbunov, E.A. Accelerated Directional Search with Non-Euclidean Prox-Structure (2019) Automation and Remote Control, 80 (4), pp. 693-707. Scopus DOI Q3

Stonyakin, F.S., Dvinskikh, D., Dvurechensky, P., Kroshnin, A., Kuznetsova, O., Agafonov, A., Gasnikov, A., Tyurin, A., Uribe, C.A., Pasechnyuk, D., Artamonov, S. Gradient methods for problems with inexact model of the objective (2019) Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 11548 LNCS, pp. 97-114. Scopus DOI Q3

Vorontsova, E.A., Gasnikov, A.V., Ivanova, A.S., Nurminsky, E.A. The Walrasian Equilibrium and Centralized Distributed Optimization in Terms of Modern Convex Optimization Methods by an Example of the Resource Allocation Problem (2019) Numerical Analysis and Applications, 12 (4), pp. 338-358. Scopus DOI Q4

Titov, A.A., Stonyakin, F.S., Gasnikov, A.V., Alkousa, M.S. Mirror descent and constrained online optimization problems (2019) Communications in Computer and Information Science, 974, pp. 64-78. Scopus DOI Q4

Dvinskikh, D., Gorbunov, E., Gasnikov, A., Dvurechensky, P., Uribe, C.A. On Primal and Dual Approaches for Distributed Stochastic Convex Optimization over Networks (2019) Proceedings of the IEEE Conference on Decision and Control, 2019-December, статья № 9029798, pp. 7435-7440. Scopus DOI

Gasnikov, A., Dvurechensky, P., Gorbunov, E., Vorontsova, E., Selikhanovych, D., Uribe, C.A., Jiang, B., Wang, H., Zhang, S., Bubeck, S., Jiang, Q., Lee, Y.T., Li, Y., Sidford, A. Near Optimal Methods for Minimizing Convex Functions with Lipschitz p-th Derivatives (2019) Proceedings of Machine Learning Research, 99, pp. 1392-1393. Scopus

Gasnikov, A., Dvurechensky, P., Gorbunov, E., Vorontsova, E., Selikhanovych, D., Uribe, C.A. Optimal Tensor Methods in Smooth Convex and Uniformly Convex Optimization (2019) Proceedings of Machine Learning Research, 99, pp. 1374-1391. Scopus

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