Публикации

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

Kovalev, D., Beznosikov, A., Borodich, E., Gasnikov, A., Scutari, G. Optimal Gradient Sliding and its Application to Distributed Optimization Under Similarity (2022) Advances in Neural Information Processing Systems, 35. Scopus WOS DOI  A*

Kovalev, D., Gasnikov, A., Richtárik, P. Accelerated Primal-Dual Gradient Method for Smooth and Convex-Concave Saddle-Point Problems with Bilinear Coupling (2022) Advances in Neural Information Processing Systems, 35. Scopus WOS DOI A*

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