Anton Rodomanov

According to our database, Anton Rodomanov authored at least 14 papers between 2014 and 2024.

Collaborative distances:

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

2024

Stabilized Proximal-Point Methods for Federated Optimization.

Xiaowen Jiang, Anton Rodomanov, Sebastian U. Stich

CoRR, 2024

Universal Gradient Methods for Stochastic Convex Optimization.

Anton Rodomanov, Ali Kavis, Yongtao Wu, Kimon Antonakopoulos, Volkan Cevher

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Federated Optimization with Doubly Regularized Drift Correction.

Xiaowen Jiang, Anton Rodomanov, Sebastian U. Stich

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Non-convex Stochastic Composite Optimization with Polyak Momentum.

Yuan Gao, Anton Rodomanov, Sebastian U. Stich

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Subgradient ellipsoid method for nonsmooth convex problems.

Anton Rodomanov, Yurii E. Nesterov

Math. Program., May, 2023

Polynomial Preconditioning for Gradient Methods.

Nikita Doikov, Anton Rodomanov

Proceedings of the International Conference on Machine Learning, 2023

2022

Rates of superlinear convergence for classical quasi-Newton methods.

Anton Rodomanov, Yurii E. Nesterov

Math. Program., 2022

2021

Greedy Quasi-Newton Methods with Explicit Superlinear Convergence.

Anton Rodomanov, Yurii E. Nesterov

SIAM J. Optim., 2021

New Results on Superlinear Convergence of Classical Quasi-Newton Methods.

Anton Rodomanov, Yurii E. Nesterov

J. Optim. Theory Appl., 2021

2020

A Randomized Coordinate Descent Method with Volume Sampling.

Anton Rodomanov, Dmitry Kropotov

SIAM J. Optim., 2020

Smoothness Parameter of Power of Euclidean Norm.

Anton Rodomanov, Yurii E. Nesterov

J. Optim. Theory Appl., 2020

2016

A Superlinearly-Convergent Proximal Newton-type Method for the Optimization of Finite Sums.

Anton Rodomanov, Dmitry Kropotov

Proceedings of the 33nd International Conference on Machine Learning, 2016

Primal-Dual Method for Searching Equilibrium in Hierarchical Congestion Population Games.

Pavel E. Dvurechensky, Alexander V. Gasnikov, Evgenia Gasnikova, Sergey Matsievsky, Anton Rodomanov, Inna Usik

Proceedings of the Supplementary Proceedings of the 9th International Conference on Discrete Optimization and Operations Research and Scientific School (DOOR 2016), Vladivostok, Russia, September 19, 2016

2014

Putting MRFs on a Tensor Train.

Alexander Novikov, Anton Rodomanov, Anton Osokin, Dmitry P. Vetrov

Proceedings of the 31th International Conference on Machine Learning, 2014