On Some Methods for Strongly Convex Optimization Problems with One Functional Constraint. - Fedor S. Stonyakin; Mohammad S. Alkousa; Alexander A. Titov; Victoria V. Piskunova (MOTOR, 2019)

Gradient Methods for Problems with Inexact Model of the Objective. - Fedor S. Stonyakin; Darina Dvinskikh; Pavel E. Dvurechensky; Alexey Kroshnin; Olesya Kuznetsova; Artem Agafonov; Alexander V. Gasnikov; Alexander Tyurin; César A. Uribe; Dmitry Pasechnyuk; Sergei Artamonov (MOTOR, 2019)

Convex optimization. - Evgeniya A. Vorontsova; Roland Hildebrand; Alexander V. Gasnikov; Fedor S. Stonyakin (CoRR, 2021)

Inexact model: a framework for optimization and variational inequalities. - Fedor S. Stonyakin; Alexander Tyurin; Alexander V. Gasnikov; Pavel E. Dvurechensky; Artem Agafonov; Darina Dvinskikh; Mohammad S. Alkousa; Dmitry Pasechnyuk; Sergei Artamonov; Victoria V. Piskunova (Optim. Methods Softw., 2021)

Some Adaptive First-Order Methods for Variational Inequalities with Relatively Strongly Monotone Operators and Generalized Smoothness. - Seydamet S. Ablaev; Alexander A. Titov; Fedor S. Stonyakin; Mohammad S. Alkousa; Alexander V. Gasnikov (OPTIMA, 2022)

Gradient-Type Methods for Optimization Problems with Polyak-Łojasiewicz Condition: Early Stopping and Adaptivity to Inexactness Parameter. - Ilya A. Kuruzov; Fedor S. Stonyakin; Mohammad S. Alkousa (OPTIMA (2), 2022)

Generalized Mirror Prox Algorithm for Monotone Variational Inequalities: Universality and Inexact Oracle. - Fedor S. Stonyakin; Alexander V. Gasnikov; Pavel E. Dvurechensky; Alexander A. Titov; Mohammad S. Alkousa (J. Optim. Theory Appl., 2022)

Stopping Rules for Gradient Methods for Non-convex Problems with Additive Noise in Gradient. - Fedor S. Stonyakin; Ilya A. Kuruzov; Boris T. Polyak (J. Optim. Theory Appl., 2023)

Adaptive Methods for Variational Inequalities with Relatively Smooth and Reletively Strongly Monotone Operators. - Seydamet S. Ablaev; Fedor S. Stonyakin; Mohammad S. Alkousa; D. A. Pasechnyk (Program. Comput. Softw., 2023)

Adaptive Variant of the Frank-Wolfe Algorithm for Convex Optimization Problems. - G. V. Aivazian; Fedor S. Stonyakin; D. A. Pasechnyk; Mohammad S. Alkousa; A. M. Raigorodsky; I. V. Baran (Program. Comput. Softw., 2023)