Публикации

Puchkin, N., Gorbunov, E., Kutuzov, N., Gasnikov, A. Breaking the Heavy-Tailed Noise Barrier in Stochastic Optimization Problems (2024) Proceedings of Machine Learning Research, 238, pp. 856-864. Scopus

Nazykov, R., Shestakov, A., Solodkin, V., Beznosikov, A., Gidel, G., Gasnikov, A. Stochastic Frank-Wolfe: Unified Analysis and Zoo of Special Cases (2024) Proceedings of Machine Learning Research, 238, pp. 4870-4878. Scopus

Gladin, E., Lavrik-Karmazin, M., Zainullina, K., Rudenko, V., Gasnikov, A., Takáč, M. Algorithm for Constrained Markov Decision Process with Linear Convergence (2023) Proceedings of Machine Learning Research, 206, pp. 11506-11533. Scopus DOI A*

Sadiev, A., Danilova, M., Gorbunov, E., Horváth, S., Gidel, G., Dvurechensky, P., Gasnikov, A., Richtárik, P. High-Probability Bounds for Stochastic Optimization and Variational Inequalities: the Case of Unbounded Variance (2023) Proceedings of Machine Learning Research, 202, pp. 29563-29648. Scopus DOI  A*

Metelev, D., Rogozin, A., Kovalev, D., Gasnikov, A. Is Consensus Acceleration Possible in Decentralized Optimization over Slowly Time-Varying Networks? (2023) Proceedings of Machine Learning Research, 202, pp. 24532-24554. Scopus DOI A*

Vasin, A., Gasnikov, A., Dvurechensky, P., Spokoiny, V. Accelerated gradient methods with absolute and relative noise in the gradient (2023) Optimization Methods and Software. Scopus DOI Q1

Pavel Dvurechensky, Petr Ostroukhov, Alexander Gasnikov, Cesar A Uribe. Near-optimal tensor methods for minimizing the gradient norm of convex functions and accelerated primal-dual tensor methods (2024) Scopus DOI Q1

Tkachenko S., Andreev A., Beznosikov A., Gasnikov A. Real Acceleration of Communication Process in Distributed Algorithms with Compression (2023), 14395 LNCS, pp. 99 - 109 Scopus DOI Q1

Medyakov, D., Molodtsov, G., Beznosikov, A., Gasnikov, A. Optimal Data Splitting in Distributed Optimization for Machine Learning (2023) Doklady Mathematics, 108 (Suppl 2), pp. S465-S475. Scopus DOI Q1

Rudakov, M.I., Beznosikov, A.N., Kholodov, Y.A., Gasnikov, A.V. Activations and Gradients Compression for Model-Parallel Training (2024) Doklady Mathematics, 108 (Suppl 2), pp. S272-S281. Scopus DOI Q1

Gasnikova, E.V., Gasnikov, A.V., Yarmoshik, D.V., Kubentaeva, M.B., Persianov, M.I., Podlipnova, I.V., Kotlyarova, E.V., Sklonin, I.A., Podobnaya, E.D., Matyukhin, V.V. Multistage Transportation Model and Sufficient Conditions for Its Potentiality (2023) Doklady Mathematics, 108 (Suppl 1), pp. S139-S144. Scopus DOI Q1

Stonyakin F., Kuruzov I., Polyak B. Stopping Rules for Gradient Methods for Non-convex Problems with Additive Noise in Gradient (2023) Journal of Optimization Theory and Applications, 198 (2), pp. 531 - 551 Scopus DOI Q1

Beznosikov, A.N., Gasnikov, A.V., Zainullina, K.E., Maslovskii, A.Y., Pasechnyuk, D.A. A Unified Analysis of Variational Inequality Methods: Variance Reduction, Sampling, Quantization, and Coordinate Descent (2023) Computational Mathematics and Mathematical Physics, 63 (2), pp. 147-174. Scopus DOI Q2

Gasnikova, E., Gasnikov, A., Kholodov, Y., Zukhba, A. An Evolutionary View on Equilibrium Models of Transport Flows (2023) Mathematics, 11 (4), статья № 858. Scopus DOI Q2

Turdakov, D.Y., Avetisyan, A.I., Arkhipenko, K.V., Antsiferova, A.V., Vatolin, D.S., Volkov, S.S., Gasnikov, A.V., Devyatkin, D.A., Drobyshevsky, M.D., Kovalenko, A.P., Krivonosov, M.I., Lukashevich, N.V., Malykh, V.A., Nikolenko, S.I., Oseledets, I.V., Perminov, A.I., Sochenkov, I.V., Tikhomirov, M.M., Fedotov, A.N., Khachay, M.Y. Trusted Artificial Intelligence: Challenges and Promising Solutions (2022) Doklady Mathematics, 106, pp. S9-S13. Scopus DOI Q2