Гасников Александр Владимирович

Ivanova, A., Stonyakin, F., Pasechnyuk, D., Vorontsova, E., Gasnikov, A. Adaptive mirror descent for the network utility maximization problem (2020) IFAC-PapersOnLine, 53, pp. 7851-7856. Scopus WOS DOI Q3

Parsegov, S., Kubentayeva, S., Gryazina, E., Gasnikov, A., Ibáñez, F. ADMM-based Distributed State Estimation for Power Systems: Evaluation of Performance (2020) IFAC-PapersOnLine, 53 (5), pp. 182-188. Scopus DOI Q3

Dvinskikh, D., Ogaltsov, A., Gasnikov, A., Dvurechensky, P., Spokoiny, V. On the line-search gradient methods for stochastic optimization (2020) IFAC-PapersOnLine, 53, pp. 1715-1720. Scopus WOS DOI Q3

Beznosikov, A., Gorbunov, E., Gasnikov, A. Derivative-free method for composite optimization with applications to decentralized distributed optimization (2020) IFAC-PapersOnLine, 53, pp. 4038-4043. Scopus WOS DOI Q3

Rogozin, A., Gasnikov, A. Penalty-Based Method for Decentralized Optimization over Time-Varying Graphs (2020) Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 12422 LNCS, pp. 239-256. Scopus WOS DOI Q3

Kamzolov, D., Gasnikov, A., Dvurechensky, P. Optimal Combination of Tensor Optimization Methods (2020) Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 12422 LNCS, pp. 166-183. Scopus WOS DOI Q3

Dvurechensky, P., Gasnikov, A., Omelchenko, S., Tiurin, A. A Stable Alternative to Sinkhorn’s Algorithm for Regularized Optimal Transport (2020) Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 12095 LNCS, pp. 406-423. Scopus DOI Q3

Ostroukhov P.A., Kamalov R.A., Dvurechensky P.E., Gasnikov A.V. Tensor methods for strongly convex strongly concave saddle point problems and strongly monotone variational inequalities // Computer Research and Modeling, Vol. 14, No. 2, P. 357 - 376 Scopus WOS DOI Q4

Bazarova A.I., Beznosikov A.N., Gasnikov A.V. Linearly convergent gradient-free methods for minimization of parabolic approximation // Computer Research and Modeling, Vol. 14, No. 2, P. 239 - 255 Scopus WOS DOI Q4

Titov, A.A., Stonyakin, F.S., Alkousa, M.S., Ablaev, S.S., Gasnikov, A.V. Analogues of Switching Subgradient Schemes for Relatively Lipschitz-Continuous Convex Programming Problems (2020) Communications in Computer and Information Science, 1275 CCIS, pp. 133-149. Scopus WOS DOI Q4

Tupitsa, N., Gasnikov, A., Dvurechensky, P., Guminov, S. Strongly Convex Optimization for the Dual Formulation of Optimal Transport (2020) Communications in Computer and Information Science, 1275 CCIS, pp. 192-204. Scopus WOS DOI Q4

Beznosikov, A., Sadiev, A., Gasnikov, A. Gradient-Free Methods with Inexact Oracle for Convex-Concave Stochastic Saddle-Point Problem (2020) Communications in Computer and Information Science, 1275 CCIS, pp. 105-119. Scopus DOI Q4

Stonyakin, F.S., Stepanov, A.N., Gasnikov, A.V., Titov, A.A. Mirror descent for constrained optimization problems with large subgradient values of functional constraints [Метод зеркального спуска для условных задач оптимизации с большими значениями норм субградиентов функциональных ограничений] (2020) Computer Research and Modeling, 12 (2), pp. 301-317. Scopus DOI Q4

Tupitsa, N., Dvurechensky, P., Gasnikov, A., Uribe, C.A. Multimarginal Optimal Transport by Accelerated Alternating Minimization (2020) Proceedings of the IEEE Conference on Decision and Control, 2020-December, статья № 9304010, pp. 6132-6137. Scopus WOS DOI

Dvurechensky, P.E., Gasnikov, A.V., Nurminski, E.A., Stonyakin, F.S. Advances in low-memory subgradient optimization (2020) Numerical Nonsmooth Optimization: State of the Art Algorithms, pp. 19-59. Scopus DOI

Guminov, S., Gasnikov, A., Anikin, A., Gornov, A. A universal modification of the linear coupling method (2019) Optimization Methods and Software, 34 (3), pp. 560-577. Scopus DOI Q1

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

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

Gasnikov, A.V., Kubentayeva, M.B. Searching stochastic equilibria in transport networks by universal primal-dual gradient method (2018) Computer Research and Modeling, 10 (3), pp. 335-345. Scopus DOI Q4

Gasnikov, A.V., Kovalev, D.A. A hypothesis about the rate of global convergence for optimal methods (Newton's type) in smooth convex optimization (2018) Computer Research and Modeling, 10 (3), pp. 305-314. Scopus DOI Q4

Dvurechensky, P.E., Gasnikov, A.V., Lagunovskaya, A.A. Parallel Algorithms and Probability of Large Deviation for Stochastic Convex Optimization Problems (2018) Numerical Analysis and Applications, 11 (1), pp. 33-37. Scopus DOI Q4

Gasnikov, A.V., Dvurechensky, P.E., Zhukovskii, M.E., Kim, S.V., Plaunov, S.S., Smirnov, D.A., Noskov, F.A. About the Power Law of the PageRank Vector Component Distribution. Part 2. The Buckley–Osthus Model, Verification of the Power Law for This Model, and Setup of Real Search Engines (2018) Numerical Analysis and Applications, 11 (1), pp. 16-32. Scopus DOI Q4

Uribe, C.A., Dvinskikh, D., Dvurechensky, P., Gasnikov, A., Nedic, A. Distributed Computation of Wasserstein Barycenters over Networks (2018) Proceedings of the IEEE Conference on Decision and Control, 2018-December, статья № 8619160, pp. 6544-6549. Scopus DOI

Dvurechensky, P., Dvinskikh, D., Gasnikov, A., Uribe, C.A., Nedić, A. Decentralize and randomize: Faster algorithm for Wasserstein barycenters (2018) Advances in Neural Information Processing Systems, 2018-December, pp. 10760-10770. Scopus DOI

Dvurechensky, P., Gasnikov, A., Kroshnin, A. Computational Optimal Transport: Complexity by Accelerated Gradient Descent Is Better Than by Sinkhorn's Algorithm (2018) 35th International Conference on Machine Learning, ICML 2018, 3, pp. 2196-2220. Scopus DOI

Anikin, A.S., Gasnikov, A.V., Dvurechensky, P.E., Tyurin, A.I., Chernov, A.V. Dual approaches to the minimization of strongly convex functionals with a simple structure under affine constraints (2017) Computational Mathematics and Mathematical Physics, 57 (8), pp. 1262-1276. Scopus DOI Q2

Gasnikov, A.V., Krymova, E.A., Lagunovskaya, A.A., Usmanova, I.N., Fedorenko, F.A. Stochastic online optimization. Single-point and multi-point non-linear multi-armed bandits. Convex and strongly-convex case (2017) Automation and Remote Control, 78 (2), pp. 224-234. Scopus DOI Q3

Gasnikov, A.V., Gasnikova, E.V., Dvurechensky, P.E., Mohammed, A.A.M., Chernousova, E.O. About the Power Law of the PageRank Vector Component Distribution. Part 1. Numerical Methods for Finding the PageRank Vector (2017) Numerical Analysis and Applications, 10 (4), pp. 299-312. Scopus DOI Q4

Dvurechensky, P., Gasnikov, A. Stochastic Intermediate Gradient Method for Convex Problems with Stochastic Inexact Oracle (2016) Journal of Optimization Theory and Applications, 171 (1), pp. 121-145. Scopus DOI Q1

Gasnikov, A.V., Lagunovskaya, A.A., Usmanova, I.N., Fedorenko, F.A. Gradient-free proximal methods with inexact oracle for convex stochastic nonsmooth optimization problems on the simplex (2016) Automation and Remote Control, 77 (11), pp. 2018-2034. Scopus DOI Q2

Gasnikov, A.V., Gasnikova, E.B., Nesterov, Y.E., Chernov, A.V. Efficient numerical methods for entropy-linear programming problems (2016) Computational Mathematics and Mathematical Physics, 56 (4), pp. 514-524. Scopus DOI Q2

Chernov, A., Dvurechensky, P., Gasnikov, A. Fast primal-dual gradient method for strongly convex minimization problems with linear constraints (2016) Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 9869 LNCS, pp. 391-403. Scopus DOI Q3

Dvurechensky, P., Gasnikov, A., Gasnikova, E., Matsievsky, S., Rodomanov, A., Usik, I. Primal-dual method for searching equilibrium in hierarchical congestion population games (2016) CEUR Workshop Proceedings, 1623, pp. 584-595. Scopus DOI

Bogolubsky, L., Gusev, G., Raigorodskii, A., Tikhonov, A., Zhukovskii, M., Dvurechensky, P., Gasnikov, A., Nesterov, Y. Learning Supervised pagerank with gradient-based and gradient-free optimization methods (2016) Advances in Neural Information Processing Systems, pp. 4914-4922. Scopus DOI

Gasnikov, A.V., Nesterov, Y.E., Spokoiny, V.G. On the efficiency of a randomized mirror descent algorithm in online optimization problems (2015) Computational Mathematics and Mathematical Physics, 55 (4), pp. 580-596. Scopus DOI Q2

Gasnikov, A.V., Dmitriev, D.Y. On efficient randomized algorithms for finding the PageRank vector (2015) Computational Mathematics and Mathematical Physics, 55 (3), pp. 349-365. Scopus DOI Q2

Gasnikov, A.V., Gasnikova, E.V. On entropy-type functionals arising in stochastic chemical kinetics related to the concentration of the invariant measure and playing the role of Lyapunov functions in the dynamics of quasiaverages (2013) Mathematical Notes, 94 (5-6), pp. 854-861. Scopus DOI Q2

Gasnikov, A.V. On the velocity of separation between two successive traveling waves in the asymptotics of the solution to the Cauchy problem for a Burgers-type equation (2012) Computational Mathematics and Mathematical Physics, 52 (6), pp. 937-939. Scopus DOI Q2

Buslaev, A.P., Gasnikov, A.V., Yashina, M.V. Selected mathematical problems of traffic flow theory (2012) International Journal of Computer Mathematics, 89 (3), pp. 409-432. Scopus DOI Q2

Gasnikov, A.V. Time-asymptotic behaviour of asolution of the Cauchy initial-value problem for aconservation law with non-linear divergent viscosity (2009) Izvestiya Mathematics, 73 (6), pp. 1111-1148. Scopus DOI Q2

Gasnikov, A.V. Convergence in the form of a solution to the Cauchy problem for a quasilinear parabolic equation with a monotone initial condition to a system of waves (2008) Computational Mathematics and Mathematical Physics, 48 (8), pp. 1376-1405. Scopus DOI Q2

Gasnikov, A.V. On the intermediate asymptotic of the solution to the Cauchy problem for a quasilinear equation of parabolic type with a monotone initial condition (2008) Journal of Computer and Systems Sciences International, 47 (3), pp. 475-484. Scopus DOI Q3

Gasnikov, A.V. Time asymptotic behavior of the solution to a quasilinear parabolic equation (2006) Computational Mathematics and Mathematical Physics, 46 (12), pp. 2136-2153. Scopus DOI Q2