| Randomized gradient-free methods in convex optimization A Gasnikov, D Dvinskikh, P Dvurechensky, E Gorbunov, A Beznosikov, ... Encyclopedia of Optimization, 1-15, 2023 | 31 | 2023 |
| Gradient-Free Federated Learning Methods with and -Randomization for Non-Smooth Convex Stochastic Optimization Problems A Lobanov, B Alashqar, D Dvinskikh, A Gasnikov Computational Mathematics and Mathematical Physics, 2022 | 23* | 2022 |
| 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, 64083-64102, 2023 | 18* | 2023 |
| Highly Smoothness Zero-Order Methods for Solving Optimization Problems under PL Condition A Lobanov, A Gasnikov, F Stonyakin Computational Mathematics and Mathematical Physics, 2023 | 17* | 2023 |
| 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 |
| 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 | 13 | 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 |
| Stochastic adversarial noise in the “black box” optimization problem A Lobanov International Conference on Optimization and Applications, 60-71, 2023 | 12 | 2023 |
| Acceleration Exists! Optimization Problems When Oracle Can Only Compare Objective Function Values A Lobanov, A Gasnikov, A Krasnov Conference on Neural Information Processing Systems (NeurIPS 2024), 2024 | 10* | 2024 |
| 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 | 10 | 2023 |
| 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 | 9 | 2024 |
| 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 | 9 | 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 |
| 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 | 6 | 2021 |
| 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 |
| Upper bounds on maximum admissible noise in zeroth-order optimisation DA Pasechnyuk, A Lobanov, A Gasnikov arXiv preprint arXiv:2306.16371, 2023 | 4 | 2023 |
| Linear Convergence Rate in Convex Setup is Possible! Gradient Descent Method Variants under -Smoothness A Lobanov, A Gasnikov, E Gorbunov, M Takác arXiv preprint arXiv:2412.17050, 2024 | 3 | 2024 |
| 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 |
| 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 | 2 | 2024 |
| 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 | 2 | 2023 |
Alexander GasnikovMIPTVerified email at mipt.ru