Part of the Computer Sciences Commons

Works by Artem Agafonov in Computer Sciences

2022

Exploiting higher-order derivatives in convex optimization methods, Dmitry Kamzolov, Alexander Gasnikov, Pavel Dvurechensky, Artem Agafonov, Martin Takac
Martin Takac

Exploiting higher-order derivatives in convex optimization methods, Dmitry Kamzolov, Alexander Gasnikov, Pavel Dvurechensky, Artem Agafonov, Martin Takac
Machine Learning Faculty Publications

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FLECS: A Federated Learning Second-Order Framework via Compression and Sketching, Artem Agafonov, Dmitry Kamzolov, Rachael Tappenden, Alexander Gasnikov, Martin Takac
Martin Takac

Inexact Tensor Methods and Their Application to Stochastic Convex Optimization, Artem Agafonov, Dmitry Kamzolov, Pavel Dvurechensky, Alexander Gasnikov, Martin Takac
Martin Takac

FLECS: A Federated Learning Second-Order Framework via Compression and Sketching, Artem Agafonov, Dmitry Kamzolov, Rachael Tappenden, Alexander Gasnikov, Martin Takac
Machine Learning Faculty Publications

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2020

Inexact Tensor Methods and Their Application to Stochastic Convex Optimization, Artem Agafonov, Dmitry Kamzolov, Pavel Dvurechensky, Alexander Gasnikov, Martin Takac
Machine Learning Faculty Publications

PDF