Lobanov Alexander Vladimirovich

Lobanov, A., Bashirov, N., Gasnikov, A. The “Black-Box” Optimization Problem: Zero-Order Accelerated Stochastic Method via Kernel Approximation (2024) Journal of Optimization Theory and Applications, 203 (3), pp. 2451-2486. Scopus DOI Q1

Statkevich, E., Bondar, S., Dvinskikh, D., Gasnikov, A., Lobanov, A. Gradient-free algorithm for saddle point problems under overparametrization (2024) Chaos, Solitons and Fractals, 185, статья № 115048, . Scopus DOI Q1

Ablaev, S.S., Beznosikov, A.N., Gasnikov, A.V., Dvinskikh, D.M., Lobanov, A.V., Puchinin, S.M., Stonyakin, F.S. On Some Works of Boris Teodorovich Polyak on the Convergence of Gradient Methods and Their Development (2024) Computational Mathematics and Mathematical Physics, 64 (4), pp. 635-675. Scopus DOI Q3

Gasnikov, A.V., Lobanov, A.V., Stonyakin, F.S. Highly Smooth Zeroth-Order Methods for Solving Optimization Problems under the PL Condition (2024) Computational Mathematics and Mathematical Physics, 64 (4), pp. 739-770. Scopus DOI Q3

Smirnov, V.N., Kazistova, K.M., Sudakov, I.A., Leplat, V., Gasnikov, A.V., Lobanov, A.V. Asymptotic Analysis of the Ruppert – Polyak Averaging for Stochastic Order Oracle (2024) Russian Journal of Nonlinear Dynamics, 20 (5), pp. 961-978. Scopus DOI Q3

Gasnikov, A.V., Alkousa, M.S., Lobanov, A.V., Dorn, Y.V., Stonyakin, F.S., Kuruzov, I.A., Singh, S.R. On Quasi-Convex Smooth Optimization Problems by a Comparison Oracle (2024) Russian Journal of Nonlinear Dynamics, 20 (5), pp. 813-825. Scopus DOI Q3

Nikita Kornilov, Ohad Shamir, Aleksandr Lobanov, Darina Dvinskikh, Alexander Gasnikov, Innokentiy Andreevich Shibaev, Eduard Gorbunov, Samuel Horváth. Accelerated Zeroth-order Method for Non-Smooth Stochastic Convex Optimization Problem with Infinite Variance (2024) Scopus DOI

Lobanov, A., Veprikov, A., Konin, G., Beznosikov, A., Gasnikov, A., Kovalev, D. Non-smooth setting of stochastic decentralized convex optimization problem over time-varying Graphs (2023) Computational Management Science, 20 (1), статья № 48. Scopus DOI Q2

Alashqar, B.A., Gasnikov, A.V., Dvinskikh, D.M., Lobanov, A.V. Gradient-free Federated Learning Methods with l 1 and l 2-randomization for Non-smooth Convex Stochastic Optimization Problems (2023) Computational Mathematics and Mathematical Physics, 63 (9), pp. 1600-1653. Scopus DOI Q2

Sadykov S.I., Lobanov A.V., Raigorodskii A.M. Gradient-Free Algorithms for Solving Stochastic Saddle Optimization Problems with the Polyak–Łojasiewicz Condition (2023) Programming and Computer Software, 49 (6), pp. 535 - 547 Scopus DOI Q3

Lobanov, A., Anikin, A., Gasnikov, A., Gornov, A., Chukanov, S. Zero-Order Stochastic Conditional Gradient Sliding Method for Non-smooth Convex Optimization (2023) Communications in Computer and Information Science, 1881 CCIS, pp. 92-106. Scopus DOI Q4

Chen J., Lobanov A.V., Rogozin A.V. Nonsmooth Distributed Min-Max Optimization Using the Smoothing Technique (2023) Computer Research and Modeling, 15 (2), pp. 469 - 480 Scopus DOI Q4

Vostrikov D.D., Konin G.O., Lobanov A.V., Matyukhin V.V. Influence of the mantissa finiteness on the accuracy of gradient-free optimization methods (2023) Computer Research and Modeling, 15 (2), pp. 259 - 280 Scopus DOI Q4