Randomized gradient-free methods in convex optimization A Gasnikov, D Dvinskikh, P Dvurechensky, E Gorbunov, A Beznosikov, ...
arXiv preprint arXiv:2211.13566, 2022
17 2022 Gradient-Free Federated Learning Methods with A Lobanov, B Alashqar, D Dvinskikh, A Gasnikov
arXiv preprint arXiv:2211.10783, 2022
14 * 2022 Mini-batch adaptive random search method for the parametric identification of dynamic systems AV Panteleev, AV Lobanov
Automation and Remote Control 81 (11), 2026-2045, 2020
13 * 2020 Градиентные методы оптимизации в машинном обучении идентификации параметров динамических систем АВ Пантелеев, АВ Лобанов
Моделирование и анализ данных 9 (4), 88-99, 2019
12 * 2019 Highly smoothness zero-order methods for solving optimization problems under pl condition A Lobanov, A Gasnikov, F Stonyakin
arXiv preprint arXiv:2305.15828, 2023
8 2023 The mini-batch adaptive method of random search (MAMRS) for parameters optimization in the tracking control problem AV Panteleev, AV Lobanov
IOP Conference Series: Materials Science and Engineering 927 (1), 012025, 2020
8 2020 Stochastic adversarial noise in the “black box” optimization problem A Lobanov
International Conference on Optimization and Applications, 60-71, 2023
6 2023 Application of the mini-batch adaptive method of random search (MAMRS) in problems of optimal in mean control of the trajectory pencils AV Panteleev, AV Lobanov
Journal of Physics: Conference Series 1925 (1), 012006, 2021
6 2021 Zero-Order Stochastic Conditional Gradient Sliding Method for Non-smooth Convex Optimization A Lobanov, A Anikin¹, A Gasnikov, A Gornov¹, S Chukanov
Mathematical Optimization Theory and Operations Research: Recent Trends …, 2023
5 2023 Application of Mini-Batch Metaheuristic algorithms in problems of optimization of deterministic systems with incomplete information about the state vector AV Panteleev, AV Lobanov
Algorithms 14 (11), 332, 2021
5 2021 Upper bounds on maximum admissible noise in zeroth-order optimisation DA Pasechnyuk, A Lobanov, A Gasnikov
arXiv preprint arXiv:2306.16371, 2023
4 2023 Accelerated zeroth-order method for non-smooth stochastic convex optimization problem with infinite variance N Kornilov, O Shamir, A Lobanov, D Dvinskikh, A Gasnikov, I Shibaev, ...
Advances in Neural Information Processing Systems 36, 2024
3 2024 The Black-Box Optimization Problem: Zero-Order Accelerated Stochastic Method via Kernel Approximation A Lobanov, N Bashirov, A Gasnikov
arXiv preprint arXiv:2310.02371, 2023
3 2023 Accelerated zero-order sgd method for solving the black box optimization problem under “overparametrization” condition A Lobanov, A Gasnikov
International Conference on Optimization and Applications, 72-83, 2023
3 2023 Non-smooth setting of stochastic decentralized convex optimization problem over time-varying graphs A Lobanov, A Veprikov, G Konin, A Beznosikov, A Gasnikov, D Kovalev
Computational Management Science 20 (1), 48, 2023
2 2023 Gradient-Free Algorithms for Solving Stochastic Saddle Optimization Problems with the Polyak–Łojasiewicz Condition SI Sadykov, AV Lobanov, AM Raigorodskii
Programming and Computer Software 49 (6), 535-547, 2023
1 2023 The Order Oracle: a New Concept in The Black Box Optimization Problems A Lobanov, A Gasnikov, A Krasnov
arXiv preprint arXiv:2402.09014, 2024
2024 Zeroth-order Median Clipping for Non-Smooth Convex Optimization Problems with Heavy-tailed Symmetric Noise N Kornilov, Y Dorn, A Lobanov, N Kutuzov, I Shibaev, E Gorbunov, ...
arXiv preprint arXiv:2402.02461, 2024
2024 About some works of Boris Polyak on convergence of gradient methods and their development S Ablaev, A Beznosikov, A Gasnikov, D Dvinskikh, A Lobanov, S Puchinin, ...
arXiv preprint arXiv:2311.16743, 2023
2023 Distributed min-max optimization using the smoothing technique J Chen, AV Lobanov, AV Rogozin
Компьютерные исследования и моделирование 15 (2), 469-480, 2023
2023 
Alexander GasnikovMIPTПодтвержден адрес электронной почты в домене mipt.ru
