Anton Rodomanov

29 papers A* 11Journal 16Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
Accelerated Distributed Optimization with Compression and Error Feedback.
CoRR
Yuan Gao, Anton Rodomanov, Jeremy Rack, Sebastian U. Stich
2025 J jnl
Composite Optimization with Error Feedback: the Dual Averaging Approach.
CoRR
Yuan Gao, Anton Rodomanov, Jeremy Rack, Sebastian U. Stich
2025 J jnl
DADA: Dual Averaging with Distance Adaptation.
CoRR
Mohammad Moshtaghifar, Anton Rodomanov, Daniil Vankov, Sebastian U. Stich
2025 A* conf
Decoupled SGDA for Games with Intermittent Strategy Communication.
ICML
Ali Zindari, Parham Yazdkhasti, Anton Rodomanov, Tatjana Chavdarova, Sebastian U. Stich
2025 J jnl
Decoupled SGDA for Games with Intermittent Strategy Communication.
CoRR
Ali Zindari, Parham Yazdkhasti, Anton Rodomanov, Tatjana Chavdarova, Sebastian U. Stich
2025 A* conf
Exploiting Similarity for Computation and Communication-Efficient Decentralized Optimization.
ICML
Yuki Takezawa, Xiaowen Jiang, Anton Rodomanov, Sebastian U. Stich
2025 J jnl
Exploiting Similarity for Computation and Communication-Efficient Decentralized Optimization.
CoRR
Yuki Takezawa, Xiaowen Jiang, Anton Rodomanov, Sebastian U. Stich
2025 J jnl
Non-Convex Federated Optimization under Cost-Aware Client Selection.
CoRR
Xiaowen Jiang, Anton Rodomanov, Sebastian U. Stich
2025 A* conf
Optimizing (L0, L1)-Smooth Functions by Gradient Methods.
ICLR
Daniil Vankov, Anton Rodomanov, Angelia Nedich, Lalitha Sankar, Sebastian U. Stich
2024 A* conf
Federated Optimization with Doubly Regularized Drift Correction.
ICML
Xiaowen Jiang, Anton Rodomanov, Sebastian U. Stich
2024 J jnl
Federated Optimization with Doubly Regularized Drift Correction.
CoRR
Xiaowen Jiang, Anton Rodomanov, Sebastian U. Stich
2024 J jnl
Non-Convex Stochastic Composite Optimization with Polyak Momentum.
CoRR
Yuan Gao, Anton Rodomanov, Sebastian U. Stich
2024 A* conf
Non-convex Stochastic Composite Optimization with Polyak Momentum.
ICML
Yuan Gao, Anton Rodomanov, Sebastian U. Stich
2024 A* conf
Stabilized Proximal-Point Methods for Federated Optimization.
NeurIPS
Xiaowen Jiang, Anton Rodomanov, Sebastian U. Stich
2024 J jnl
Stabilized Proximal-Point Methods for Federated Optimization.
CoRR
Xiaowen Jiang, Anton Rodomanov, Sebastian U. Stich
2024 A* conf
Universal Gradient Methods for Stochastic Convex Optimization.
ICML
Anton Rodomanov, Ali Kavis, Yongtao Wu, Kimon Antonakopoulos, Volkan Cevher
2024 A* conf
Universality of AdaGrad Stepsizes for Stochastic Optimization: Inexact Oracle, Acceleration and Variance Reduction.
NeurIPS
Anton Rodomanov, Xiaowen Jiang, Sebastian U. Stich
2023 A* conf
Polynomial Preconditioning for Gradient Methods.
ICML
Nikita Doikov, Anton Rodomanov
2023 J jnl
Polynomial Preconditioning for Gradient Methods.
CoRR
Nikita Doikov, Anton Rodomanov
2023 J jnl
Subgradient ellipsoid method for nonsmooth convex problems.
Math. Program.
Anton Rodomanov, Yurii E. Nesterov
2022 — —
Quasi-Newton methods with provable efficiency guarantees.
Anton Rodomanov
2022 J jnl
Rates of superlinear convergence for classical quasi-Newton methods.
Math. Program.
Anton Rodomanov, Yurii E. Nesterov
2021 J jnl
Greedy Quasi-Newton Methods with Explicit Superlinear Convergence.
SIAM J. Optim.
Anton Rodomanov, Yurii E. Nesterov
2021 J jnl
New Results on Superlinear Convergence of Classical Quasi-Newton Methods.
J. Optim. Theory Appl.
Anton Rodomanov, Yurii E. Nesterov
2020 J jnl
A Randomized Coordinate Descent Method with Volume Sampling.
SIAM J. Optim.
Anton Rodomanov, Dmitry Kropotov
2020 J jnl
Smoothness Parameter of Power of Euclidean Norm.
J. Optim. Theory Appl.
Anton Rodomanov, Yurii E. Nesterov
2016 A* conf
A Superlinearly-Convergent Proximal Newton-type Method for the Optimization of Finite Sums.
ICML
Anton Rodomanov, Dmitry Kropotov
2016 — conf
Primal-Dual Method for Searching Equilibrium in Hierarchical Congestion Population Games.
DOOR (Supplement)
Pavel E. Dvurechensky, Alexander V. Gasnikov, Evgenia Gasnikova, Sergey Matsievsky, Anton Rodomanov, Inna Usik
2014 A* conf
Putting MRFs on a Tensor Train.
ICML
Alexander Novikov, Anton Rodomanov, Anton Osokin, Dmitry P. Vetrov