Гасников Александр Владимирович

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*

Beznosikov, A., Dvurechensky, P., Koloskova, A., Samokhin, V., Stich, S.U., Gasnikov, A. Decentralized Local Stochastic Extra-Gradient for Variational Inequalities (2022) Advances in Neural Information Processing Systems, 35. Scopus WOS DOI A*

Kovalev, D., Beznosikov, A., Sadiev, A., Persiianov, M., Richtárik, P., Gasnikov, A. Optimal Algorithms for Decentralized Stochastic Variational Inequalities (2022) Advances in Neural Information Processing Systems, 35. Scopus WOS DOI A*

Kovalev, D., Gasnikov, A. The First Optimal Algorithm for Smooth and Strongly-Convex-Strongly-Concave Minimax Optimization (2022) Advances in Neural Information Processing Systems, 35. Scopus WOS DOI A*

Gorbunov, E., Danilova, M., Dobre, D., Dvurechensky, P., Gasnikov, A., Gidel, G. Clipped Stochastic Methods for Variational Inequalities with Heavy-Tailed Noise (2022) Advances in Neural Information Processing Systems, 35. Scopus WOS DOI A*

Kovalev, D., Gasnikov, A. The First Optimal Acceleration of High-Order Methods in Smooth Convex Optimization (2022) Advances in Neural Information Processing Systems, 35. Scopus WOS DOI A*

Gasnikov, A., Novitskii, A., Novitskii, V., Abdukhakimov, F., Kamzolov, D., Beznosikov, A., Takáč, M., Dvurechensky, P., Gu, B. The Power of First-Order Smooth Optimization for Black-Box Non-Smooth Problems (2022) Proceedings of Machine Learning Research, 162, pp. 7241-7265. Scopus WOS DOI A*

Hanzely, S., Kamzolov, D., Pasechnyuk, D., Gasnikov, A., Richtárik, P., Takáč, M. A Damped Newton Method Achieves Global O(1/K2) and Local Quadratic Convergence Rate (2022) Advances in Neural Information Processing Systems, 35. Scopus WOS DOI A*

Tiapkin, D., Gasnikov, A. Primal-Dual Stochastic Mirror Descent for MDPs (2022) Proceedings of Machine Learning Research, 151, pp. 9723-9740. Scopus WOS DOI A*

Stonyakin F. , Gasnikov A. , Dvurechensky P. , Titov A. , Alkousa M. Generalized Mirror Prox Algorithm for Monotone Variational Inequalities: Universality and Inexact Oracle // Journal of Optimization Theory and Applications, Vol. 194, No. 3, P. 988 - 1013 Scopus WOS DOI Q1

Gorbunov E., Dvurechensky P., Gasnikov A. An accelerated method for derivative-free smooth stochastic convex optimization // SIAM Journal on Optimization, Vol. 32, No. 2, P. 1210 - 1238 Scopus WOS DOI Q1

Ivanova A., Dvurechensky P., Vorontsova E., Pasechnyuk D., Gasnikov A., Dvinskikh D., Tyurin A. Oracle Complexity Separation in Convex Optimization // Journal of Optimization Theory and Applications, Vol. 193, No. 1, P. 462 - 490 Scopus WOS DOI Q1

Anikin A., Gasnikov A., Gornov A., Kamzolov D., Maximov Y., Nesterov Y. Efficient numerical methods to solve sparse linear equations with application to PageRank // Optimization Methods and Software, Vol. 37, No. 3, P. 907 - 935 Scopus WOS DOI Q1

Gorbunov, E., Dvurechensky, P., Gasnikov, A. AN ACCELERATED METHOD FOR DERIVATIVE-FREE SMOOTH STOCHASTIC CONVEX OPTIMIZATION (2022) SIAM Journal on Optimization, 32 (2), pp. 1210-1238. Scopus WOS DOI Q1

Shibaev I., Dvurechensky P., Gasnikov A. Zeroth-order methods for noisy Hölder-gradient functions // Optimization Letters, Vol. 16, No. 7, P. 2123 - 2143 Scopus WOS DOI Q2

Tiapkin D., Gasnikov A., Dvurechensky P. Stochastic saddle-point optimization for the Wasserstein barycenter problem // Optimization Letters, Vol. 16, No. 7, P. 2145 - 2175 Scopus WOS DOI Q2

Sadiev A., Borodich E., Beznosikov A., Dvinskikh D., Chezhegov S., Tappenden R., Takáč M., Gasnikov A. Decentralized personalized federated learning: Lower bounds and optimal algorithm for all personalization modes // EURO Journal on Computational Optimization, Vol. 10, P. 100041 Scopus WOS DOI Q2

Borodich E., Tominin V., Tominin Y., Kovalev D., Gasnikov A., Dvurechensky P. Accelerated variance-reduced methods for saddle-point problems // EURO Journal on Computational Optimization, Vol. 10, P. 100048 Scopus WOS DOI Q2

Gladin, E.L., Gasnikov, A.V., Ermakova, E.S. Vaidya’s Method for Convex Stochastic Optimization Problems in Small Dimension (2022) Mathematical Notes, 112 (1-2), pp. 183-190. Scopus WOS DOI Q2

Ablaev, S.S., Titov, A.A., Stonyakin, F.S., Alkousa, M.S., Gasnikov, A. Some Adaptive First-Order Methods for Variational Inequalities with Relatively Strongly Monotone Operators and Generalized Smoothness (2022) Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 13781 LNCS, pp. 135-150. Scopus WOS DOI Q2

Beznosikov, A., Gasnikov, A. Compression and Data Similarity: Combination of Two Techniques for Communication-Efficient Solving of Distributed Variational Inequalities (2022) Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 13781 LNCS, pp. 151-162. Scopus WOS DOI Q2

Yarmoshik D., Rogozin A., Khamisov O.O., Dvurechensky P., Gasnikov A. Decentralized Convex Optimization Under Affine Constraints for Power Systems Control // Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 13367, P. 62 - 75 Scopus WOS DOI Q3

Dvinskikh D., Tominin V., Tominin I., Gasnikov A. Noisy Zeroth-Order Optimization for Non-smooth Saddle Point Problems // Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 13367, P. 18 - 33 Scopus WOS DOI Q3

Danilova M., Dvurechensky P., Gasnikov A., Gorbunov E., Guminov S., Kamzolov D., Shibaev I. Recent Theoretical Advances in Non-Convex Optimization // Springer Optimization and Its Applications, Vol. 191, P. 79 - 163 Scopus WOS DOI Q3

Chezhegov S., Novitskii A., Rogozin A., Parsegov S., Dvurechensky P., Gasnikov A. A General Framework for Distributed Partitioned Optimization // IFAC-PapersOnLine, Vol. 55, No. 13, P. 139 - 144 Scopus WOS DOI Q3

Dvinskikh D.M., Pirau V.V., Gasnikov A.V. On the relations of stochastic convex optimization problems with empirical risk minimization problems on p-norm balls // Computer Research and Modeling, Vol. 14, No. 2, P. 309 - 319 Scopus WOS DOI Q4

Alkousa M.S., Gasnikov A.V., Dvurechensky P.E., Sadiev A.A., Razouk L.Ya. An approach for the nonconvex uniformly concave structured saddle point problem // Computer Research and Modeling, Vol. 14, No. 2, P. 225 - 237 Scopus WOS DOI Q4

Pletnev N.V., Dvurechensky P.E., Gasnikov A.V. Application of gradient optimization methods to solve the Cauchy problem for the Helmholtz equation // Computer Research and Modeling, Vol. 14, No. 2, P. 417 - 444 Scopus WOS DOI Q4

Rogozin, A., Yarmoshik, D., Kopylova, K., Gasnikov, A. Decentralized Strongly-Convex Optimization with Affine Constraints: Primal and Dual Approaches (2022) Communications in Computer and Information Science, 1739 CCIS, pp. 93-105. Scopus WOS DOI Q4

Maslovskiy, A., Kunitsyn, A., Gasnikov, A. Application of Attention Technique for Digital Pre-distortion (2022) Communications in Computer and Information Science, 1739 CCIS, pp. 168-182. Scopus WOS DOI Q4

Pletnev, N.V., Dvurechensky, P.E., Gasnikov, A.V. Application of gradient optimization methods to solve the Cauchy problem for the Helmholtz equation [Применение градиентных методов оптимизации для решения задачи Коши для уравнения Гельмгольца] (2022) Computer Research and Modeling, 14 (2), pp. 417-444. Scopus WOS DOI Q4

Kovalev, D., Gasanov, E., Gasnikov, A., Richtárik, P. Lower Bounds and Optimal Algorithms for Smooth and Strongly Convex Decentralized Optimization Over Time-Varying Networks (2021) Advances in Neural Information Processing Systems, 27, pp. 22325-22335. Scopus WOS DOI A*

Kovalev, D., Shulgin, E., Richtárik, P., Rogozin, A., Gasnikov, A. ADOM: Accelerated Decentralized Optimization Method for Time-Varying Networks (2021) Proceedings of Machine Learning Research, 139, pp. 5784-5793. Scopus WOS DOI A*

Daneshmand, A., Scutari, G., Dvurechensky, P., Gasnikov, A. Newton Method over Networks is Fast up to the Statistical Precision (2021) Proceedings of Machine Learning Research, 139, pp. 2398-2409. Scopus WOS DOI A*

Dvurechensky, P., Gorbunov, E., Gasnikov, A. An accelerated directional derivative method for smooth stochastic convex optimization (2021) European Journal of Operational Research, 290 (2), pp. 601-621. Scopus DOI Q1

Stonyakin, F., Tyurin, A., Gasnikov, A., Dvurechensky, P., Agafonov, A., Dvinskikh, D., Alkousa, M., Pasechnyuk, D., Artamonov, S., Piskunova, V. Inexact model: a framework for optimization and variational inequalities (2021) Optimization Methods and Software, 36 (6), pp. 1155-1201. Scopus DOI Q1

Uribe, C.A., Lee, S., Gasnikov, A., Nedić, A. A dual approach for optimal algorithms in distributed optimization over networks (2021) Optimization Methods and Software, 36 (1), pp. 171-210. Scopus WOS DOI Q1

Nesterov, Y., Gasnikov, A., Guminov, S., Dvurechensky, P. Primal–dual accelerated gradient methods with small-dimensional relaxation oracle (2021) Optimization Methods and Software, 36 (4), pp. 773-810. Scopus WOS DOI Q1

Ivanova, A., Dvurechensky, P., Gasnikov, A., Kamzolov, D. Composite optimization for the resource allocation problem (2021) Optimization Methods and Software, 36 (4), pp. 720-754. Scopus DOI Q1

Kamzolov, D., Dvurechensky, P., Gasnikov, A.V. Universal intermediate gradient method for convex problems with inexact oracle (2021) Optimization Methods and Software, 36 (6), pp. 1289-1316. Scopus DOI Q1

Dvurechensky P., Kamzolov D., Lukashevich A., Lee S., Ordentlich E., Uribe C.A., Gasnikov A. Hyperfast second-order local solvers for efficient statistically preconditioned distributed optimization // EURO Journal on Computational Optimization, Vol. 10, P. 100045 Scopus WOS DOI Q2

Novitskii V., Gasnikov A. Improved exploitation of higher order smoothness in derivative-free optimization // Optimization Letters, Vol. 16, No. 7, P. 2059 - 2071 Scopus WOS DOI Q2

Kubentayeva, M., Gasnikov, A. Finding equilibria in the traffic assignment problem with primal-dual gradient methods for stable dynamics model and beckmann model (2021) Mathematics, 9 (11), статья № 1217. Scopus WOS DOI Q2

Vorontsova, E.A., Gasnikov, A.V., Dvurechensky, P.E., Ivanova, A.S., Pasechnyuk, D.A. Numerical Methods for the Resource Allocation Problem in a Computer Network (2021) Computational Mathematics and Mathematical Physics, 61 (2), pp. 297-328. Scopus DOI Q2

Gasnikov, A.V., Dvinskikh, D.M., Dvurechensky, P.E., Kamzolov, D.I., Matyukhin, V.V., Pasechnyuk, D.A., Tupitsa, N.K., Chernov, A.V. Accelerated Meta-Algorithm for Convex Optimization Problems (2021) Computational Mathematics and Mathematical Physics, 61 (1), pp. 17-28. Scopus DOI Q2

Gorbunov E., Rogozin A., Beznosikov A., Dvinskikh D., Gasnikov A. Recent Theoretical Advances in Decentralized Distributed Convex Optimization // Springer Optimization and Its Applications, Vol. 191, P. 253 - 325 Scopus WOS DOI Q3

Gladin, E., Alkousa, M., Gasnikov, A. Solving Convex Min-Min Problems with Smoothness and Strong Convexity in One Group of Variables and Low Dimension in the Other // Automation and Remote Control, 82 (10), pp. 1679-1691. Scopus DOI Q3

Tupitsa, N., Dvurechensky, P., Gasnikov, A., Guminov, S. Alternating minimization methods for strongly convex optimization (2021) Journal of Inverse and Ill-Posed Problems, 29 (5), pp. 721-739. Scopus WOS DOI Q3

Dvinskikh, D., Gasnikov, A. Decentralized and parallel primal and dual accelerated methods for stochastic convex programming problems (2021) Journal of Inverse and Ill-Posed Problems, 29 (3), pp. 385-405. Scopus WOS DOI Q3

Rogozin, A., Lukoshkin, V., Gasnikov, A., Kovalev, D., Shulgin, E. Towards Accelerated Rates for Distributed Optimization over Time-Varying Networks (2021) Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 13078 LNCS, pp. 258-272. Scopus WOS DOI Q3

Matyukhin, V., Kabanikhin, S., Shishlenin, M., Novikov, N., Vasin, A., Gasnikov, A. Convex Optimization with Inexact Gradients in Hilbert Space and Applications to Elliptic Inverse Problems (2021) Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 12755 LNCS, pp. 159-175. Scopus WOS DOI Q3

Safin, K., Dvurechensky, P., Gasnikov, A. Adaptive Gradient-Free Method for Stochastic Optimization (2021) Communications in Computer and Information Science, 1514 CCIS, pp. 95-108. Scopus DOI Q4

Pasechnyuk, D., Dvurechensky, P., Omelchenko, S., Gasnikov, A. Stochastic Optimization for Dynamic Pricing (2021) Communications in Computer and Information Science, 1514 CCIS, pp. 82-94. Scopus WOS DOI Q4

Ivanova, A., Pasechnyuk, D., Grishchenko, D., Shulgin, E., Gasnikov, A., Matyukhin, V. Adaptive Catalyst for Smooth Convex Optimization (2021) Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 13078 LNCS, pp. 20-37. Scopus DOI Q4

Beznosikov, A., Rogozin, A., Kovalev, D., Gasnikov, A. Near-Optimal Decentralized Algorithms for Saddle Point Problems over Time-Varying Networks (2021) Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 13078 LNCS, pp. 246-257. Scopus WOS DOI Q4

Sadiev, A., Beznosikov, A., Dvurechensky, P., Gasnikov, A. Zeroth-Order Algorithms for Smooth Saddle-Point Problems (2021) Communications in Computer and Information Science, 1476 CCIS, pp. 71-85. Scopus DOI Q4

Maslovskiy, A., Pasechnyuk, D., Gasnikov, A., Anikin, A., Rogozin, A., Gornov, A., Antonov, L., Vlasov, R., Nikolaeva, A., Begicheva, M. Non-convex Optimization in Digital Pre-distortion of the Signal (2021) Communications in Computer and Information Science, 1476 CCIS, pp. 54-70. Scopus WOS DOI Q4

Gladin, E., Sadiev, A., Gasnikov, A., Dvurechensky, P., Beznosikov, A., Alkousa, M. Solving Smooth Min-Min and Min-Max Problems by Mixed Oracle Algorithms (2021) Communications in Computer and Information Science, 1476 CCIS, pp. 19-40. Scopus DOI Q4

Titov, A.A., Stonyakin, F.S., Alkousa, M.S., Gasnikov, A.V. Algorithms for Solving Variational Inequalities and Saddle Point Problems with Some Generalizations of Lipschitz Property for Operators (2021) Communications in Computer and Information Science, 1476 CCIS, pp. 86-101. Scopus DOI Q4

Beznosikov, A., Novitskii, V., Gasnikov, A. One-Point Gradient-Free Methods for Smooth and Non-smooth Saddle-Point Problems (2021) Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 12755 LNCS, pp. 144-158. Scopus DOI Q4

Kotliarova, E.V., Gasnikov, A.V., Gasnikova, E.V., Yarmoshik, D.V. Finding equilibrium in two-stage traffic assignment model [Поиск равновесий в двухстадийных моделях распределения транспортных потоков по сети] (2021) Computer Research and Modeling, 13 (2), pp. 365-379. Scopus WOS DOI Q4

Beznosikov, A., Rogozin, A., Scutari, G., Gasnikov, A. Distributed Saddle-Point Problems Under Similarity (2021) Advances in Neural Information Processing Systems, 10, pp. 8172-8184. Scopus WOS DOI

Rogozin, A., Bochko, M., Dvurechensky, P., Gasnikov, A., Lukoshkin, V. An Accelerated Method for Decentralized Distributed Stochastic Optimization over Time-Varying Graphs (2021) Proceedings of the IEEE Conference on Decision and Control, 2021-December, pp. 3367-3373. Scopus WOS DOI

Agafonov, A., Dvurechensky, P., Scutari, G., Gasnikov, A., Kamzolov, D., Lukashevich, A., Daneshmand, A. An Accelerated Second-Order Method for Distributed Stochastic Optimization (2021) Proceedings of the IEEE Conference on Decision and Control, 2021-December, pp. 2407-2413. Scopus WOS DOI

Sergey Guminov, Pavel E. Dvurechensky, Nazarii Tupitsa, Alexander V. Gasnikov. On a Combination of Alternating Minimization and Nesterov's Momentum (2021) Scopus DOI

Gorbunov, E., Danilova, M., Gasnikov, A. Stochastic optimization with heavy-tailed noise via accelerated gradient clipping (2020) Advances in Neural Information Processing Systems, 2020-December. Scopus WOS DOI A*

Rogozin, A., Uribe, C.A., Gasnikov, A.V., Malkovsky, N., Nedic, A. Optimal distributed convex optimization on slowly time-varying graphs (2020) IEEE Transactions on Control of Network Systems, 7 (2), статья № 8882272, pp. 829-841. Scopus WOS DOI Q1

Alkousa, M.S., Gasnikov, A.V., Dvinskikh, D.M., Kovalev, D.A., Stonyakin, F.S. Accelerated Methods for Saddle-Point Problem (2020) Computational Mathematics and Mathematical Physics, 60 (11), pp. 1787-1809. Scopus DOI Q2

Dvinskikh, D.M., Tyurin, A.I., Gasnikov, A.V., Omel’chenko, C.C. Accelerated and Unaccelerated Stochastic Gradient Descent in Model Generality (2020) Mathematical Notes, 108 (3-4), pp. 511-522. Scopus WOS DOI Q2

Dvinskikh, D.M., Omelchenko, S.S., Gasnikov, A.V., Tyurin, A.I. Accelerated Gradient Sliding for Minimizing a Sum of Functions (2020) Doklady Mathematics, 101 (3), pp. 244-246. Scopus WOS DOI Q2

Daniil Tiapkin, Alexander V. Gasnikov, Pavel E. Dvurechensky. Stochastic Saddle-Point Optimization for Wasserstein Barycenters (2020) Scopus DOI Q2

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