| On biased compression for distributed learning A Beznosikov, S Horváth, P Richtárik, M Safaryan NeurIPS 2020, Workshop on Scalability, Privacy, and Security in Federated …, 2020 | 116 | 2020 |
| Distributed Saddle-Point Problems: Lower Bounds, Optimal and Robust Algorithms A Beznosikov, V Samokhin, A Gasnikov arXiv preprint arXiv:2010.13112, 2021 | 42* | 2021 |
| Decentralized distributed optimization for saddle point problems A Rogozin, A Beznosikov, D Dvinskikh, D Kovalev, P Dvurechensky, ... arXiv preprint arXiv:2102.07758, 2021 | 38 | 2021 |
| Derivative-free method for composite optimization with applications to decentralized distributed optimization A Beznosikov, E Gorbunov, A Gasnikov IFAC-PapersOnLine 53 (2), 4038-4043, 2020 | 35* | 2020 |
| Recent theoretical advances in decentralized distributed convex optimization E Gorbunov, A Rogozin, A Beznosikov, D Dvinskikh, A Gasnikov High-Dimensional Optimization and Probability: With a View Towards Data …, 2022 | 34 | 2022 |
| Gradient-free methods with inexact oracle for convex-concave stochastic saddle-point problem A Beznosikov, A Sadiev, A Gasnikov International Conference on Mathematical Optimization Theory and Operations …, 2020 | 32 | 2020 |
| Solving smooth min-min and min-max problems by mixed oracle algorithms E Gladin, A Sadiev, A Gasnikov, P Dvurechensky, A Beznosikov, ... International Conference on Mathematical Optimization Theory and Operations …, 2021 | 30 | 2021 |
| Decentralized local stochastic extra-gradient for variational inequalities A Beznosikov, P Dvurechenskii, A Koloskova, V Samokhin, SU Stich, ... Advances in Neural Information Processing Systems 35, 38116-38133, 2022 | 25 | 2022 |
| Stochastic gradient descent-ascent: Unified theory and new efficient methods A Beznosikov, E Gorbunov, H Berard, N Loizou International Conference on Artificial Intelligence and Statistics, 172-235, 2023 | 23 | 2023 |
| Distributed saddle-point problems under data similarity A Beznosikov, G Scutari, A Rogozin, A Gasnikov Advances in Neural Information Processing Systems 34, 8172-8184, 2021 | 22 | 2021 |
| Zeroth-order algorithms for smooth saddle-point problems A Sadiev, A Beznosikov, P Dvurechensky, A Gasnikov International Conference on Mathematical Optimization Theory and Operations …, 2021 | 21 | 2021 |
| Optimal Algorithms for Decentralized Stochastic Variational Inequalities AG Dmitry Kovalev, Aleksandr Beznosikov, Abdurakhmon Sadiev, Michael ... Advances in Neural Information Processing Systems 35, 31073-31088, 2022 | 17 | 2022 |
| The power of first-order smooth optimization for black-box non-smooth problems BG Alexander Gasnikov, Anton Novitskii, Vasilii Novitskii, Farshed ... International Conference on Machine Learning, 7241-7265, 2022 | 17* | 2022 |
| Smooth monotone stochastic variational inequalities and saddle point problems: A survey A Beznosikov, B Polyak, E Gorbunov, D Kovalev, A Gasnikov European Mathematical Society Magazine, 15-28, 2023 | 13 | 2023 |
| Near-optimal decentralized algorithms for saddle point problems over time-varying networks A Beznosikov, A Rogozin, D Kovalev, A Gasnikov Optimization and Applications: 12th International Conference, OPTIMA 2021 …, 2021 | 13 | 2021 |
| Optimal gradient sliding and its application to optimal distributed optimization under similarity D Kovalev, A Beznosikov, E Borodich, A Gasnikov, G Scutari Advances in Neural Information Processing Systems 35, 33494-33507, 2022 | 11 | 2022 |
| Distributed methods with compressed communication for solving variational inequalities, with theoretical guarantees A Beznosikov, P Richtárik, M Diskin, M Ryabinin, A Gasnikov Advances in Neural Information Processing Systems 35, 14013-14029, 2022 | 10 | 2022 |
| Randomized gradient-free methods in convex optimization A Gasnikov, D Dvinskikh, P Dvurechensky, E Gorbunov, A Beznosikov, ... arXiv preprint arXiv:2211.13566, 2022 | 8 | 2022 |
| Decentralized personalized federated min-max problems E Borodich, A Beznosikov, A Sadiev, V Sushko, N Savelyev, M Takáč, ... arXiv preprint arXiv:2106.07289, 2021 | 8* | 2021 |
| Decentralized personalized federated learning: Lower bounds and optimal algorithm for all personalization modes A Sadiev, E Borodich, A Beznosikov, D Dvinskikh, S Chezhegov, ... EURO Journal on Computational Optimization 10, 100041, 2022 | 7* | 2022 |
Alexander GasnikovMIPTVerified email at mipt.ru
