Universal intermediate gradient method for convex problems with inexact oracle - researchr publication related

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Dmitry Kamzolov, Pavel E. Dvurechensky, Alexander V. Gasnikov. Universal intermediate gradient method for convex problems with inexact oracle. Optimization Methods and Software, 36(6):1289-1316, 2021. [doi]

The following publications are possibly variants of this publication:

Stochastic Intermediate Gradient Method for Convex Problems with Stochastic Inexact OraclePavel Dvurechensky, Alexander Gasnikov. jota, 171(1):121-145, 2016. [doi]

Gradient-free proximal methods with inexact oracle for convex stochastic nonsmooth optimization problems on the simplexAlexander V. Gasnikov, Anastasia A. Lagunovskaya, Ilnura N. Usmanova, Fedor A. Fedorenko. aarc, 77(11):2018-2034, 2016. [doi]

Gradient Methods for Problems with Inexact Model of the ObjectiveFedor S. Stonyakin, Darina Dvinskikh, Pavel Dvurechensky, Alexey Kroshnin, Olesya Kuznetsova, Artem Agafonov, Alexander Gasnikov, Alexander Tyurin, César A. Uribe, Dmitry Pasechnyuk, Sergei Artamonov. motor 2019: 97-114 [doi]

Convex Optimization with Inexact Gradients in Hilbert Space and Applications to Elliptic Inverse ProblemsVladislav Matyukhin, Sergey Igorevich Kabanikhin, Maxim A. Shishlenin, Nikita S. Novikov, Artem Vasin, Alexander Gasnikov. motor 2021: 159-175 [doi]

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