Калиниченко Виктория Константиновна · Publications

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

Kroshnin, A., Dvinskikh, D., Dvurechensky, P., Gasnikov, A., Tupitsa, N., Uribe, C.A. On the complexity of approximating wasserstein barycenters (2019) 36th International Conference on Machine Learning, ICML 2019, 2019-June, pp. 6176-6208. Scopus DOI

Bayandina, A.S., Gasnikov, A.V., Gasnikova, E.V., Matsievskii, S.V. Primal–Dual Mirror Descent Method for Constraint Stochastic Optimization Problems (2018) Computational Mathematics and Mathematical Physics, 58 (11), pp. 1728-1736. Scopus DOI Q2

Gasnikov, A.V., Gasnikova, E.V., Nesterov, Y.E. Dual Methods for Finding Equilibriums in Mixed Models of Flow Distribution in Large Transportation Networks (2018) Computational Mathematics and Mathematical Physics, 58 (9), pp. 1395-1403. Scopus DOI Q2

Gasnikov, A.V., Nesterov, Y.E. Universal Method for Stochastic Composite Optimization Problems (2018) Computational Mathematics and Mathematical Physics, 58 (1), pp. 48-64. Scopus DOI Q2

Bayandina, A.S., Gasnikov, A.V., Lagunovskaya, A.A. Gradient-Free Two-Point Methods for Solving Stochastic Nonsmooth Convex Optimization Problems with Small Non-Random Noises (2018) Automation and Remote Control, 79 (8), pp. 1399-1408. Scopus DOI Q3

Gasnikov, A.V., Gorbunov, E.A., Kovalev, D.A., Mohammed, A.A.M., Chernousova, E.O. The global rate of convergence for optimal tensor methods in smooth convex optimization [Обоснование гипотезы об оптимальных оценках скорости сходимости численных методов выпуклой оптимизации высоких порядков] (2018) Computer Research and Modeling, 10 (6), pp. 737-753. Scopus DOI Q4

Bayandina, A., Dvurechensky, P., Gasnikov, A., Stonyakin, F., Titov, A. Mirror descent and convex optimization problems with non-smooth inequality constraints (2018) Lecture Notes in Mathematics, 2227, pp. 181-213. Scopus DOI Q4