| Distributed learning with compressed gradient differences K Mishchenko, E Gorbunov, M Takáč, P Richtárik Optimization Methods and Software, 1-16, 2024 | 234 | 2024 |
| A unified theory of SGD: Variance reduction, sampling, quantization and coordinate descent E Gorbunov, F Hanzely, P Richtárik International Conference on Artificial Intelligence and Statistics, 680-690, 2020 | 171 | 2020 |
| Stochastic optimization with heavy-tailed noise via accelerated gradient clipping E Gorbunov, M Danilova, A Gasnikov Advances in Neural Information Processing Systems 33, 15042-15053, 2020 | 137 | 2020 |
| MARINA: Faster non-convex distributed learning with compression E Gorbunov, KP Burlachenko, Z Li, P Richtárik International Conference on Machine Learning, 3788-3798, 2021 | 116 | 2021 |
| Local sgd: Unified theory and new efficient methods E Gorbunov, F Hanzely, P Richtárik International Conference on Artificial Intelligence and Statistics, 3556-3564, 2021 | 116 | 2021 |
| Extragradient method: O (1/k) last-iterate convergence for monotone variational inequalities and connections with cocoercivity E Gorbunov, N Loizou, G Gidel International Conference on Artificial Intelligence and Statistics, 366-402, 2022 | 96 | 2022 |
| Recent theoretical advances in non-convex optimization M Danilova, P Dvurechensky, A Gasnikov, E Gorbunov, S Guminov, ... High-Dimensional Optimization and Probability: With a View Towards Data …, 2022 | 94 | 2022 |
| Linearly converging error compensated SGD E Gorbunov, D Kovalev, D Makarenko, P Richtárik Advances in Neural Information Processing Systems 33, 20889-20900, 2020 | 86 | 2020 |
| Near Optimal Methods for Minimizing Convex Functions with Lipschitz -th Derivatives A Gasnikov, P Dvurechensky, E Gorbunov, E Vorontsova, ... Conference on Learning Theory, 1392-1393, 2019 | 82 | 2019 |
| Optimal tensor methods in smooth convex and uniformly convexoptimization A Gasnikov, P Dvurechensky, E Gorbunov, E Vorontsova, ... Conference on Learning Theory, 1374-1391, 2019 | 77* | 2019 |
| Optimal decentralized distributed algorithms for stochastic convex optimization E Gorbunov, D Dvinskikh, A Gasnikov arXiv preprint arXiv:1911.07363, 2019 | 74 | 2019 |
| An accelerated method for derivative-free smooth stochastic convex optimization E Gorbunov, P Dvurechensky, A Gasnikov SIAM Journal on Optimization 32 (2), 1210-1238, 2022 | 72* | 2022 |
| Stochastic three points method for unconstrained smooth minimization EH Bergou, E Gorbunov, P Richtarik SIAM Journal on Optimization 30 (4), 2726-2749, 2020 | 57 | 2020 |
| 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 | 53 | 2023 |
| Last-iterate convergence of optimistic gradient method for monotone variational inequalities E Gorbunov, A Taylor, G Gidel Advances in neural information processing systems 35, 21858-21870, 2022 | 51 | 2022 |
| EF21 with bells & whistles: Practical algorithmic extensions of modern error feedback I Fatkhullin, I Sokolov, E Gorbunov, Z Li, P Richtárik arXiv preprint arXiv:2110.03294, 2021 | 51 | 2021 |
| An accelerated directional derivative method for smooth stochastic convex optimization P Dvurechensky, E Gorbunov, A Gasnikov European Journal of Operational Research 290 (2), 601-621, 2021 | 47 | 2021 |
| High-Probability Complexity Bounds for Non-smooth Stochastic Convex Optimization with Heavy-Tailed Noise E Gorbunov, M Danilova, I Shibaev, P Dvurechensky, A Gasnikov Journal of Optimization Theory and Applications, 1-60, 2024 | 44* | 2024 |
| 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 | 44 | 2022 |
| High-probability bounds for stochastic optimization and variational inequalities: the case of unbounded variance A Sadiev, M Danilova, E Gorbunov, S Horváth, G Gidel, P Dvurechensky, ... ICML 2023 [arXiv:2302.00999], 2023 | 43 | 2023 |
Alexander GasnikovMIPTVerified email at mipt.ru
