Gradient Methods for Problems with Inexact Model of the Objective

Fedor S. Stonyakin, Darina Dvinskikh, Pavel Dvurechensky, Alexey Kroshnin, Olesya Kuznetsova, Artem Agafonov, Alexander Gasnikov, Alexander Tyurin, César A. Uribe, Dmitry Pasechnyuk, Sergei Artamonov. Gradient Methods for Problems with Inexact Model of the Objective. In Michael Khachay, Yury Kochetov, Panos M. Pardalos, editors, Mathematical Optimization Theory and Operations Research - 18th International Conference, MOTOR 2019, Ekaterinburg, Russia, July 8-12, 2019, Proceedings. Volume 11548 of Lecture Notes in Computer Science, pages 97-114, Springer, 2019. [doi]

Abstract

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