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 | 35 | 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 |
Optimal algorithms for decentralized stochastic variational inequalities D Kovalev, A Beznosikov, A Sadiev, M Persiianov, P Richtárik, ... Advances in Neural Information Processing Systems 35, 31073-31088, 2022 | 28 | 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, ... International Conference on Machine Learning, 29563-29648, 2023 | 24 | 2023 |
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 | 23 | 2021 |
Federated optimization algorithms with random reshuffling and gradient compression A Sadiev, G Malinovsky, E Gorbunov, I Sokolov, A Khaled, K Burlachenko, ... arXiv preprint arXiv:2206.07021, 2022 | 18 | 2022 |
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 | 12* | 2022 |
Communication acceleration of local gradient methods via an accelerated primal-dual algorithm with an inexact prox A Sadiev, D Kovalev, P Richtárik Advances in Neural Information Processing Systems 35, 21777-21791, 2022 | 10 | 2022 |
AI-SARAH: Adaptive and implicit stochastic recursive gradient methods Z Shi, A Sadiev, N Loizou, P Richtárik, M Takáč arXiv preprint arXiv:2102.09700, 2021 | 8 | 2021 |
Decentralized personalized federated min-max problems A Beznosikov, V Sushko, A Sadiev, A Gasnikov arXiv preprint arXiv:2106.07289, 2021 | 8* | 2021 |
Stochastic gradient methods with preconditioned updates A Sadiev, A Beznosikov, AJ Almansoori, D Kamzolov, R Tappenden, ... Journal of Optimization Theory and Applications, 1-19, 2024 | 4 | 2024 |
Adaptive compression for communication-efficient distributed training M Makarenko, E Gasanov, R Islamov, A Sadiev, P Richtárik arXiv preprint arXiv:2211.00188, 2022 | 4 | 2022 |
High-probability convergence for composite and distributed stochastic minimization and variational inequalities with heavy-tailed noise E Gorbunov, A Sadiev, M Danilova, S Horváth, G Gidel, P Dvurechensky, ... arXiv preprint arXiv:2310.01860, 2023 | 3 | 2023 |
An Approach for Non-convex Uniformly Concave Structured Saddle Point Problem M Alkousa, A Gasnikov, P Dvurechensky, A Sadiev, L Razouk arXiv preprint arXiv:2202.06376, 2022 | 1 | 2022 |