[ 𝟷𝟿 ] Accelerated Zeroth-order Method for Non-Smooth Stochastic Convex Optimization Problem with Infinite Variance arXiv Download
- Nikita Kornilov, Ohad Shamir, Aleksandr Lobanov, Darina Dvinskikh, Alexander Gasnikov, Innokentiy Shibaev, Eduard Gorbunov, Samuel Horváth
- 2023 Conference Paper Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS 2023)
[ 𝟷𝟾 ] The Black-Box Optimization Problem: Zero-Order Accelerated Stochastic Method via Kernel Approximation arXiv Download
[ 𝟷𝟽 ] Accelerated Zero-Order SGD Method for Solving the Black Box Optimization Problem under "Overparametrization" Condition arXiv Download
- Aleksandr Lobanov, Alexander Gasnikov
- 2023 Conference Paper XIV International Conference Optimization and Applications (OPTIMA-2023)
[ 𝟷𝟼 ] Non-Smooth Setting of Stochastic Decentralized Convex Optimization Problem Over Time-Varying Graphs arXiv Download
- Aleksandr Lobanov, Andrew Veprikov, Georgiy Konin, Aleksandr Beznosikov, Alexander Gasnikov, Dmitry Kovalev
- 2023 Journal Paper Computational Management Science
[ 𝟷𝟺 ] Highly Smoothness Zero-Order Methods for Solving Optimization Problems under PL Condition arXiv Download
[ 𝟷𝟹 ] Stochastic Adversarial Noise in the "Black Box" Optimization Problem arXiv Download
- Aleksandr Lobanov
- 2023 Conference Paper XIV International Conference Optimization and Applications (OPTIMA-2023)
[ 𝟷𝟸 ] Zero-Order Stochastic Conditional Gradient Sliding Method for Non-smooth Convex Optimization arXiv Download
- Aleksandr Lobanov, Anton Anikin, Alexander Gasnikov, Alexander Gornov, Sergey Chukanov
- 2023 Conference Paper Mathematical Optimization Theory and Operations Research (MOTOR2023)
[ 𝟷𝟷 ] Influence of the mantissa finiteness on the accuracy of gradient-free optimization methods Download
- Daniil Vostrikov, Georgiy Konin, Aleksandr Lobanov, Vladislav Matyukhin
- 2023 Journal Paper Computer Research and Modeling
[ 𝟷𝟶 ] Nonsmooth Distributed Min-Max Optimization Using the Smoothing Technique Download
- Jiawei Chen, Aleksandr Lobanov, Alexander Rogozin
- 2023 Journal Paper Computer Research and Modeling
[8] Gradient-Free Federated Learning Methods with $l_1$ and $l_2$-Randomization for Non-Smooth Convex Stochastic Optimization Problems arXiv Download
- Aleksandr Lobanov, Belal Alashqar, Darina Dvinskikh, Alexander Gasnikov
- 2023 Journal Paper Computational Mathematics and Mathematical Physics
[7] Application of Mini-Batch Adaptive Optimization Method in Stochastic Control Problems Download
- Andrei Panteleev, Aleksandr Lobanov
- 2022 Journal Paper Advances in Theory and Practice of Computational Mechanics
[6] Application of the Zero-Order Mini-Batch Optimization Method in the Tracking Control Problem Download
- Andrei Panteleev, Aleksandr Lobanov
- 2022 Journal Paper SMART Automatics and Energy
[5] Application of Mini-Batch Metaheuristic algorithms in problems of optimization of deterministic systems with incomplete information about the state vector Download
- Andrei Panteleev, Aleksandr Lobanov
- 2021 Journal Paper Algorithms
[4] Application of the mini-batch adaptive method of random search (MAMRS) in problems of optimal in mean control of the trajectory pencils Download
- Andrei Panteleev, Aleksandr Lobanov
- 2021 Journal Paper Journal of Physics: Conference Series
[3] The mini-batch adaptive method of random search (MAMRS) for parameters optimization in the tracking control problem Download
- Andrei Panteleev, Aleksandr Lobanov
- 2020 Journal Paper IOP Conference Series: Materials Science and Engineering
[2] Mini-batch adaptive random search method for the parametric identification of dynamic systems Download
- Andrei Panteleev, Aleksandr Lobanov
- 2020 Journal Paper Automation and Remote Control
[1] Gradient optimization methods in machine learning for the identification of dynamic systems parameters Download
- Andrei Panteleev, Aleksandr Lobanov
- 2019 Journal Paper Modelling and Data Analysis
Publications list
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