Alexander Rogozin

According to our database, Alexander Rogozin authored at least 18 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Decentralized optimization with affine constraints over time-varying networks.

Demyan Yarmoshik, Alexander Rogozin, Alexander V. Gasnikov

Comput. Manag. Sci., June, 2024

Decentralized saddle-point problems with different constants of strong convexity and strong concavity.

Dmitry Metelev, Alexander Rogozin, Alexander V. Gasnikov, Dmitry Kovalev

Comput. Manag. Sci., June, 2024

Decentralized optimization over slowly time-varying graphs: algorithms and lower bounds.

Dmitry Metelev, Aleksandr Beznosikov, Alexander Rogozin, Alexander V. Gasnikov, Anton V. Proskurnikov

Comput. Manag. Sci., June, 2024

Average-case optimization analysis for distributed consensus algorithms on regular graphs.

Nhat Trung Nguyen, Alexander Rogozin, Alexander Gasnikov

CoRR, 2024

2023

Decentralized Conditional Gradient Method on Time-Varying Graphs.

R. A. Vedernikov, Alexander Rogozin, Alexander V. Gasnikov

Program. Comput. Softw., December, 2023

Robust Algebraic Connectivity.

Ilya A. Kuruzov, Alexander Rogozin, S. A. Chezhegov, Andrey B. Kupavskii

Program. Comput. Softw., December, 2023

Is Consensus Acceleration Possible in Decentralized Optimization over Slowly Time-Varying Networks?

Dmitry Metelev, Alexander Rogozin, Dmitry Kovalev, Alexander V. Gasnikov

Proceedings of the International Conference on Machine Learning, 2023

2022

Decentralized Strongly-Convex Optimization with Affine Constraints: Primal and Dual Approaches.

Alexander Rogozin, Demyan Yarmoshik, Ksenia Kopylova, Alexander V. Gasnikov

Proceedings of the Advances in Optimization and Applications, 2022

2021

Distributed Saddle-Point Problems Under Similarity.

Aleksandr Beznosikov, Gesualdo Scutari, Alexander Rogozin, Alexander V. Gasnikov

CoRR, 2021

Decentralized Distributed Optimization for Saddle Point Problems.

Alexander Rogozin, Aleksandr Beznosikov, Darina Dvinskikh, Dmitry Kovalev, Pavel E. Dvurechensky, Alexander V. Gasnikov

CoRR, 2021

Towards Accelerated Rates for Distributed Optimization over Time-Varying Networks.

Alexander Rogozin, Vladislav Lukoshkin, Alexander V. Gasnikov, Dmitry Kovalev, Egor Shulgin

Proceedings of the Optimization and Applications - 12th International Conference, 2021

Near-Optimal Decentralized Algorithms for Saddle Point Problems over Time-Varying Networks.

Aleksandr Beznosikov, Alexander Rogozin, Dmitry Kovalev, Alexander V. Gasnikov

Proceedings of the Optimization and Applications - 12th International Conference, 2021

Distributed Saddle-Point Problems Under Data Similarity.

Aleksandr Beznosikov, Gesualdo Scutari, Alexander Rogozin, Alexander V. Gasnikov

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

ADOM: Accelerated Decentralized Optimization Method for Time-Varying Networks.

Dmitry Kovalev, Egor Shulgin, Peter Richtárik, Alexander Rogozin, Alexander V. Gasnikov

Proceedings of the 38th International Conference on Machine Learning, 2021

An Accelerated Method For Decentralized Distributed Stochastic Optimization Over Time-Varying Graphs.

Alexander Rogozin, Mikhail Bochko, Pavel E. Dvurechensky, Alexander V. Gasnikov, Vladislav Lukoshkin

Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

2020

Optimal Distributed Convex Optimization on Slowly Time-Varying Graphs.

Alexander Rogozin, César A. Uribe, Alexander V. Gasnikov, Nikolay Malkovsky, Angelia Nedic

IEEE Trans. Control. Netw. Syst., 2020

Fast Linear Convergence of Randomized BFGS.

Dmitry Kovalev, Robert M. Gower, Peter Richtárik, Alexander Rogozin

CoRR, 2020

Penalty-Based Method for Decentralized Optimization over Time-Varying Graphs.

Alexander Rogozin, Alexander V. Gasnikov

Proceedings of the Optimization and Applications - 11th International Conference, 2020