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 | 53 | 2021 |
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 | 45 | 2022 |
Decentralized distributed optimization for saddle point problems A Rogozin, A Beznosikov, D Dvinskikh, D Kovalev, P Dvurechensky, ... arXiv preprint arXiv:2102.07758, 2021 | 43 | 2021 |
Optimal distributed convex optimization on slowly time-varying graphs A Rogozin, CA Uribe, AV Gasnikov, N Malkovsky, A Nedić IEEE Transactions on Control of Network Systems 7 (2), 829-841, 2019 | 38 | 2019 |
ADOM: accelerated decentralized optimization method for time-varying networks D Kovalev, E Shulgin, P Richtárik, AV Rogozin, A Gasnikov International Conference on Machine Learning, 5784-5793, 2021 | 35 | 2021 |
Towards accelerated rates for distributed optimization over time-varying networks A Rogozin, V Lukoshkin, A Gasnikov, D Kovalev, E Shulgin Optimization and Applications: 12th International Conference, OPTIMA 2021 …, 2021 | 31 | 2021 |
An accelerated method for decentralized distributed stochastic optimization over time-varying graphs A Rogozin, M Bochko, P Dvurechensky, A Gasnikov, V Lukoshkin 2021 60th IEEE Conference on Decision and Control (CDC), 3367-3373, 2021 | 29 | 2021 |
Projected gradient method for decentralized optimization over time-varying networks A Rogozin, A Gasnikov arXiv preprint arXiv:1911.08527, 2019 | 28 | 2019 |
Fast linear convergence of randomized BFGS D Kovalev, RM Gower, P Richtárik, A Rogozin arXiv preprint arXiv:2002.11337, 2020 | 20 | 2020 |
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 | 15 | 2021 |
Decentralized saddle-point problems with different constants of strong convexity and strong concavity D Metelev, A Rogozin, A Gasnikov, D Kovalev Computational Management Science 21 (1), 5, 2024 | 13 | 2024 |
Decentralized Convex Optimization over Time-Varying Graphs A Rogozin, A Gasnikov, A Beznosikov, D Kovalev Encyclopedia of Optimization, 1-17, 2023 | 9 | 2023 |
Is consensus acceleration possible in decentralized optimization over slowly time-varying networks? D Metelev, A Rogozin, D Kovalev, A Gasnikov International Conference on Machine Learning, 24532-24554, 2023 | 7 | 2023 |
Decentralized optimization over slowly time-varying graphs: Algorithms and lower bounds D Metelev, A Beznosikov, A Rogozin, A Gasnikov, A Proskurnikov Computational Management Science 21 (1), 8, 2024 | 6 | 2024 |
Decentralized convex optimization under affine constraints for power systems control D Yarmoshik, A Rogozin, OO Khamisov, P Dvurechensky, A Gasnikov International Conference on Mathematical Optimization Theory and Operations …, 2022 | 6 | 2022 |
Decentralized saddle point problems via non-Euclidean mirror prox A Rogozin, A Beznosikov, D Dvinskikh, D Kovalev, P Dvurechensky, ... Optimization Methods and Software, 1-26, 2024 | 5 | 2024 |
An acceleration of decentralized sgd under general assumptions with low stochastic noise E Trimbach, A Rogozin International Conference on Mathematical Optimization Theory and Operations …, 2021 | 5 | 2021 |
Decentralized conditional gradient method over time-varying graphs R Vedernikov, A Rogozin, A Gasnikov arXiv preprint arXiv:2307.10978, 2023 | 4 | 2023 |
A general framework for distributed partitioned optimization S Chezhegov, A Novitskii, A Rogozin, S Parsegov, P Dvurechensky, ... IFAC-PapersOnLine 55 (13), 139-144, 2022 | 4 | 2022 |
Non-convex Optimization in Digital Pre-distortion of the Signal A Maslovskiy, D Pasechnyuk, A Gasnikov, A Anikin, A Rogozin, A Gornov, ... International Conference on Mathematical Optimization Theory and Operations …, 2021 | 4 | 2021 |