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Anton Rodomanov
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2020 – today
- 2024
- [c7]Yuan Gao, Anton Rodomanov, Sebastian U. Stich:
Non-convex Stochastic Composite Optimization with Polyak Momentum. ICML 2024 - [c6]Xiaowen Jiang, Anton Rodomanov, Sebastian U. Stich:
Federated Optimization with Doubly Regularized Drift Correction. ICML 2024 - [c5]Anton Rodomanov, Ali Kavis, Yongtao Wu, Kimon Antonakopoulos, Volkan Cevher:
Universal Gradient Methods for Stochastic Convex Optimization. ICML 2024 - [i4]Yuan Gao, Anton Rodomanov, Sebastian U. Stich:
Non-Convex Stochastic Composite Optimization with Polyak Momentum. CoRR abs/2403.02967 (2024) - [i3]Xiaowen Jiang, Anton Rodomanov, Sebastian U. Stich:
Federated Optimization with Doubly Regularized Drift Correction. CoRR abs/2404.08447 (2024) - [i2]Xiaowen Jiang, Anton Rodomanov, Sebastian U. Stich:
Stabilized Proximal-Point Methods for Federated Optimization. CoRR abs/2407.07084 (2024) - 2023
- [j6]Anton Rodomanov
, Yurii E. Nesterov:
Subgradient ellipsoid method for nonsmooth convex problems. Math. Program. 199(1): 305-341 (2023) - [c4]Nikita Doikov, Anton Rodomanov:
Polynomial Preconditioning for Gradient Methods. ICML 2023: 8162-8187 - [i1]Nikita Doikov, Anton Rodomanov:
Polynomial Preconditioning for Gradient Methods. CoRR abs/2301.13194 (2023) - 2022
- [j5]Anton Rodomanov
, Yurii E. Nesterov:
Rates of superlinear convergence for classical quasi-Newton methods. Math. Program. 194(1): 159-190 (2022) - 2021
- [j4]Anton Rodomanov
, Yurii E. Nesterov:
New Results on Superlinear Convergence of Classical Quasi-Newton Methods. J. Optim. Theory Appl. 188(3): 744-769 (2021) - [j3]Anton Rodomanov, Yurii E. Nesterov
:
Greedy Quasi-Newton Methods with Explicit Superlinear Convergence. SIAM J. Optim. 31(1): 785-811 (2021) - 2020
- [j2]Anton Rodomanov, Yurii E. Nesterov:
Smoothness Parameter of Power of Euclidean Norm. J. Optim. Theory Appl. 185(2): 303-326 (2020) - [j1]Anton Rodomanov, Dmitry Kropotov
:
A Randomized Coordinate Descent Method with Volume Sampling. SIAM J. Optim. 30(3): 1878-1904 (2020)
2010 – 2019
- 2016
- [c3]Pavel E. Dvurechensky, Alexander V. Gasnikov, Evgenia Gasnikova, Sergey Matsievsky, Anton Rodomanov, Inna Usik:
Primal-Dual Method for Searching Equilibrium in Hierarchical Congestion Population Games. DOOR (Supplement) 2016: 584-595 - [c2]Anton Rodomanov, Dmitry Kropotov:
A Superlinearly-Convergent Proximal Newton-type Method for the Optimization of Finite Sums. ICML 2016: 2597-2605 - 2014
- [c1]Alexander Novikov, Anton Rodomanov, Anton Osokin, Dmitry P. Vetrov:
Putting MRFs on a Tensor Train. ICML 2014: 811-819
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