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Aleksandr Lobanov
Aleksandr Lobanov
PhD student, MIPT
Подтвержден адрес электронной почты в домене mipt.ru - Главная страница
Название
Процитировано
Процитировано
Год
Randomized gradient-free methods in convex optimization
A Gasnikov, D Dvinskikh, P Dvurechensky, E Gorbunov, A Beznosikov, ...
Encyclopedia of Optimization, 1-15, 2023
292023
Gradient-Free Federated Learning Methods with and -Randomization for Non-Smooth Convex Stochastic Optimization Problems
A Lobanov, B Alashqar, D Dvinskikh, A Gasnikov
arXiv preprint arXiv:2211.10783, 2022
23*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
16*2020
Highly smoothness zero-order methods for solving optimization problems under pl condition
A Lobanov, A Gasnikov, F Stonyakin
arXiv preprint arXiv:2305.15828, 2023
15*2023
Градиентные методы оптимизации в машинном обучении идентификации параметров динамических систем
АВ Пантелеев, АВ Лобанов
Моделирование и анализ данных 9 (4), 88-99, 2019
13*2019
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
12*2024
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
122023
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
102023
The “Black-Box” Optimization Problem: Zero-Order Accelerated Stochastic Method via Kernel Approximation
A Lobanov, N Bashirov, A Gasnikov
Journal of Optimization Theory and Applications, 1-36, 2024
92024
Stochastic adversarial noise in the “black box” optimization problem
A Lobanov
International Conference on Optimization and Applications, 60-71, 2023
92023
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
82023
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
82020
Acceleration exists! optimization problems when oracle can only compare objective function values
A Lobanov, A Gasnikov, A Krasnov
The Thirty-eighth Annual Conference on Neural Information Processing Systems, 2024
6*2024
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
62021
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
62021
On Some Works of Boris Teodorovich Polyak on the Convergence of Gradient Methods and Their Development
SS Ablaev, AN Beznosikov, AV Gasnikov, DM Dvinskikh, AV Lobanov, ...
Computational Mathematics and Mathematical Physics 64 (4), 635-675, 2024
3*2024
Upper bounds on maximum admissible noise in zeroth-order optimisation
DA Pasechnyuk, A Lobanov, A Gasnikov
arXiv preprint arXiv:2306.16371, 2023
32023
Gradient-free algorithm for saddle point problems under overparametrization
E Statkevich, S Bondar, D Dvinskikh, A Gasnikov, A Lobanov
Chaos, Solitons & Fractals 185, 115048, 2024
22024
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
22023
Improved Iteration Complexity in Black-Box Optimization Problems under Higher Order Smoothness Function Condition
A Lobanov
arXiv preprint arXiv:2407.03507, 2024
12024
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