Mohammad Alkousa, Fedor Stonyakin, Alexander Gasnikov, Asmaa Abdo, Mohammad Alcheikh, “Higher degree inexact model for optimization problems”, Chaos, Solitons & Fractals, 186 (2024), 115292
P. Dvurechensky, A. Gasnikov, A. Tyurin, V. Zholobov, “Unifying framework for accelerated randomized methods in convex optimization”, Foundations of Modern Statistics, Springer Proceedings in Mathematics & Statistics, 425, 2023, 511–561
Е. Л. Гладин, А. В. Гасников, Е. С. Ермакова, “Метод Вайды для задач выпуклой стохастической оптимизации небольшой размерности”, Матем. заметки, 112:2 (2022), 179–187 ; E. L. Gladin, A. V. Gasnikov, E. S. Ermakova, “Vaidya's Method for Convex Stochastic Optimization Problems in Small Dimension”, Math. Notes, 112:2 (2022), 183–190
Eduard Gorbunov, Alexander Rogozin, Aleksandr Beznosikov, Darina Dvinskikh, Alexander Gasnikov, Springer Optimization and Its Applications, 191, High-Dimensional Optimization and Probability, 2022, 253
A. Yu. Gornov, P. S. Sorokovikov, T. S. Zarodnyuk, A. S. Anikin, “Three search algorithms for three nonconvex optimization problems”, J Math Sci, 267:4 (2022), 457
Darina Dvinskikh, Alexander Gasnikov, “Decentralized and parallel primal and dual accelerated methods for stochastic convex programming problems”, Journal of Inverse and Ill-posed Problems, 29:3 (2021), 385
Alexander Rogozin, Vladislav Lukoshkin, Alexander Gasnikov, Dmitry Kovalev, Egor Shulgin, Lecture Notes in Computer Science, 13078, Optimization and Applications, 2021, 258