Лобанов Александр Владимирович

Nail Bashirov, Alexander Gasnikov, Aleksandr Lobanov. Zeroth-order methods for non-smooth stochastic problems under heavy-tailed noise (2026) Optimization Methods and Software Q2

Александр Владимирович Лобанов, Александр Владимирович Гасников. Обзор современных алгоритмов гладкой оптимизации со сравнительным оракулом (2025) Доклады Российской академии наук. Математика, информатика, процессы управления Q2

Aleksandr Vladimirovich Lobanov, Alexander Vladimirovich Gasnikov. Survey of modern smooth optimization algorithms with comparison oracle (2025) Doklady Mathematics Q2

Aleksandr Lobanov, Alexander Gasnikov. Power of generalized smoothness in stochastic convex optimization: First-and zero-order algorithms (2025) arXiv preprint

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 A*

Aleksandr Lobanov, Alexander Gasnikov, Andrei Krasnov. Acceleration exists! optimization problems when oracle can only compare objective function values (2024) A*

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

Boris Chervonenkis, Andrei Krasnov, Alexander Gasnikov, Aleksandr Lobanov. Nesterov’s Method of Dichotomy via Order Oracle: The Problem of Optimizing a Two-Variable Function on a Square (2024) International Conference on Optimization and Applications Q2

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

Georgii Bychkov, Darina Dvinskikh, Anastasia Antsiferova, Alexander Gasnikov, Aleksandr Lobanov. Accelerated zero-order SGD under high-order smoothness and overparameterized regime (2024) Q3

Aleksandr Lobanov, Alexander Gasnikov, Andrei Krasnov. The order oracle: a new concept in the black box optimization problems (2024)

Nikita Kornilov, Yuriy Dorn, Aleksandr Lobanov, Nikolay Kutuzov, Innokentiy Shibaev, Eduard Gorbunov, Alexander Gasnikov, Alexander Nazin. Median Clipping for Zeroth-order Non-Smooth Convex Optimization and Multi-Armed Bandit Problem with Heavy-tailed Symmetric Noise (2024)

V.N. Smirnov, K.M. Kazistova, I.A. Sudakov, V. Leplat, A.V. Gasnikov, A.V. Lobanov. Ruppert-Polyak averaging for Stochastic Order Oracle (2024)

Aleksandr Lobanov, Alexander Gasnikov, Eduard Gorbunov, Martin Takáč. Linear Convergence Rate in Convex Setup is Possible! Gradient Descent Method Variants under (L_0,L_1)-Smoothness (2025) 

Nikita Kornilov, Yuriy Dorn, Aleksandr Lobanov, Nikolay Kutuzov, Innokentiy Shibaev, Eduard Gorbunov, Alexander Gasnikov, Alexander Nazin. Zeroth-order median clipping for non-smooth convex optimization problems with heavy-tailed symmetric noise (2024)

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

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

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

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

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

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