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Disambiguation of "Gorbunov, Eduard"

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Distributed Learning with Compressed Gradient Differences.

, , , and . CoRR, (2019)

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Roman Gorbunov

Anton Gorbunov

Dmitry Gorbunov

Sergey Gorbunov

Eduard Bröcker

 

Other publications of authors with the same name

The global rate of convergence for optimal tensor methods in smooth convex optimization, , , , , and . (2018)cite arxiv:1809.00382Comment: In the current version we present a translation into English of the main derivations, which first appeared on September 2, 2018 in Russian, extend the analysis from the case of strongly convex objective to the case of uniformly convex objectives and add the numerical analysis of our results.Stochastic Three Points Method for Unconstrained Smooth Minimization., , and . SIAM J. Optim., 30 (4): 2726-2749 (2020)Partially Personalized Federated Learning: Breaking the Curse of Data Heterogeneity., , , and . CoRR, (2023)Local SGD: Unified Theory and New Efficient Methods., , and . AISTATS, volume 130 of Proceedings of Machine Learning Research, page 3556-3564. PMLR, (2021)Extragradient Method: O(1/K) Last-Iterate Convergence for Monotone Variational Inequalities and Connections With Cocoercivity., , and . AISTATS, volume 151 of Proceedings of Machine Learning Research, page 366-402. PMLR, (2022)Clipped Stochastic Methods for Variational Inequalities with Heavy-Tailed Noise., , , , , and . NeurIPS, (2022)Optimal Tensor Methods in Smooth Convex and Uniformly ConvexOptimization., , , , , and . COLT, volume 99 of Proceedings of Machine Learning Research, page 1374-1391. PMLR, (2019)Implicitly normalized forecaster with clipping for linear and non-linear heavy-tailed multi-armed bandits., , , , , and . Comput. Manag. Sci., 21 (1): 19 (June 2024)Recent Theoretical Advances in Non-Convex Optimization., , , , , , and . CoRR, (2020)Breaking the Heavy-Tailed Noise Barrier in Stochastic Optimization Problems., , , and . CoRR, (2023)