( en | de | ru )

 

Disambiguation of "Gorbunov, Eduard"

Author of the publication

copydeleteadd this publication to your clipboard
High-Probability Convergence for Composite and Distributed Stochastic Minimization and Variational Inequalities with Heavy-Tailed Noise.

, , , , , , , and . CoRR, (2023)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Roman Gorbunov

Anton Gorbunov

Dmitry Gorbunov

Sergey Gorbunov

Eduard Knorr

 

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.Partially Personalized Federated Learning: Breaking the Curse of Data Heterogeneity., , , and . CoRR, (2023)Clipped Stochastic Methods for Variational Inequalities with Heavy-Tailed Noise., , , , , and . NeurIPS, (2022)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)Local SGD: Unified Theory and New Efficient Methods., , and . AISTATS, volume 130 of Proceedings of Machine Learning Research, page 3556-3564. PMLR, (2021)Optimal Tensor Methods in Smooth Convex and Uniformly ConvexOptimization., , , , , and . COLT, volume 99 of Proceedings of Machine Learning Research, page 1374-1391. PMLR, (2019)Byzantine-Tolerant Methods for Distributed Variational Inequalities., , , , , , and . CoRR, (2023)On Primal and Dual Approaches for Distributed Stochastic Convex Optimization over Networks., , , , and . CDC, page 7435-7440. IEEE, (2019)Stochastic Optimization with Heavy-Tailed Noise via Accelerated Gradient Clipping., , and . NeurIPS, (2020)Secure Distributed Training at Scale., , , and . CoRR, (2021)