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Hyperfast second-order local solvers for efficient statistically preconditioned distributed optimization.

P. Dvurechensky, D. Kamzolov, A. Lukashevich, S. Lee, E. Ordentlich, C. Uribe, and A. Gasnikov. EURO J. Comput. Optim., (2022)

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Dmitry Sveshnikov

Dmitry Suslov

Dmitry Varentsov

Dmitry Chigrin

Dmitry Shvedov

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A Damped Newton Method Achieves Global $O łeft(1k^2\right)$ and Local Quadratic Convergence Rate.S. Hanzely, D. Kamzolov, D. Pasechnyuk, A. Gasnikov, P. Richtárik, and M. Takác. NeurIPS, (2022)Suppressing Poisoning Attacks on Federated Learning for Medical Imaging.N. Alkhunaizi, D. Kamzolov, M. Takác, and K. Nandakumar. MICCAI (8), volume 13438 of Lecture Notes in Computer Science, page 673-683. Springer, (2022)Efficient numerical methods to solve sparse linear equations with application to PageRank.A. Anikin, A. Gasnikov, A. Gornov, D. Kamzolov, Y. Maximov, and Y. Nesterov. Optim. Methods Softw., 37 (3): 907-935 (2022)Inexact tensor methods and their application to stochastic convex optimization.A. Agafonov, D. Kamzolov, P. Dvurechensky, A. Gasnikov, and M. Takác. Optim. Methods Softw., 39 (1): 42-83 (2024)Hyperfast second-order local solvers for efficient statistically preconditioned distributed optimization.P. Dvurechensky, D. Kamzolov, A. Lukashevich, S. Lee, E. Ordentlich, C. Uribe, and A. Gasnikov. EURO J. Comput. Optim., (2022)An Accelerated Second-Order Method for Distributed Stochastic Optimization.A. Agafonov, P. Dvurechensky, G. Scutari, A. Gasnikov, D. Kamzolov, A. Lukashevich, and A. Daneshmand. CDC, page 2407-2413. IEEE, (2021)Optimal Combination of Tensor Optimization Methods.D. Kamzolov, A. Gasnikov, and P. Dvurechensky. OPTIMA, volume 12422 of Lecture Notes in Computer Science, page 166-183. Springer, (2020)Recent Theoretical Advances in Non-Convex Optimization.M. Danilova, P. Dvurechensky, A. Gasnikov, E. Gorbunov, S. Guminov, D. Kamzolov, and I. Shibaev. CoRR, (2020)Stochastic Gradient Descent with Preconditioned Polyak Step-size.F. Abdukhakimov, C. Xiang, D. Kamzolov, and M. Takác. CoRR, (2023)The power of first-order smooth optimization for black-box non-smooth problems.A. Gasnikov, A. Novitskii, V. Novitskii, F. Abdukhakimov, D. Kamzolov, A. Beznosikov, M. Takác, P. Dvurechensky, and B. Gu. ICML, volume 162 of Proceedings of Machine Learning Research, page 7241-7265. PMLR, (2022)

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Disambiguation of "Kamzolov, Dmitry"

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Hyperfast second-order local solvers for efficient statistically preconditioned distributed optimization.

Please choose a person to relate this publication to

Dmitry Sveshnikov

Dmitry Suslov

Dmitry Varentsov

Dmitry Chigrin

Dmitry Shvedov

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Kamzolov, Dmitry"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Hyperfast second-order local solvers for efficient statistically preconditioned distributed optimization.

Please choose a person to relate this publication to

Dmitry Sveshnikov

Dmitry Suslov

Dmitry Varentsov

Dmitry Chigrin

Dmitry Shvedov

Other publications of authors with the same name

Disambiguation

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URL
DOI
BibTeX
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Chicago
DIN 1505
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Hyperfast second-order local solvers for efficient statistically preconditioned distributed optimization.