| 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 |
| Methods for Optimization Problems with Markovian Stochasticity and Non-Euclidean Geometry V Solodkin, A Veprikov, A Beznosikov arXiv preprint arXiv:2408.01848, 2024 | 2 | 2024 |
| A mathematical model of the hidden feedback loop effect in machine learning systems A Veprikov, A Afanasiev, A Khritankov arXiv preprint arXiv:2405.02726, 2024 | 1 | 2024 |
| New aspects of black box conditional gradient: Variance reduction and one point feedback A Veprikov, A Bogdanov, V Minashkin, A Beznosikov Chaos, Solitons & Fractals 189, 115654, 2024 | | 2024 |
| Zero order algorithm for decentralised optimization problems AS Veprikov, ED Petrov, GV Evseev, AN Beznosikov Doklady Rossijskoj Akademii Nauk. Mathematika, Informatika, Processy …, 2024 | | 2024 |
| Markovian Compression: Looking to the Past Helps Accelerate the Future A Veprikov, V Solodkin, M Rudakov, A Beznosikov | | |
| Adversarial Robustness through Wide Local Minima: A Simple Training Technique AS Khritankov, A Veprikov, S Smirnov International Conference on Computational Optimization, 0 | | |
| An Out-of-Shelf Multi-Level Monte Carlo Approach for Average-Reward Reinforcement Learning A Chernyavskiy, A Veprikov, V Solodkin, A Beznosikov, A Panov International Conference on Computational Optimization, 0 | | |