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)

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)

Accelerated methods for weakly-quasi-convex optimization problems. - Sergey Guminov; Alexander V. Gasnikov; Ilya A. Kuruzov (Comput. Manag. Sci., 2023)

Robust Algebraic Connectivity. - Ilya A. Kuruzov; Alexander Rogozin; S. A. Chezhegov; Andrey B. Kupavskii (Program. Comput. Softw., 2023)

Achieving Linear Convergence with Parameter-Free Algorithms in Decentralized Optimization. - Ilya A. Kuruzov; Gesualdo Scutari; Alexander V. Gasnikov (NeurIPS, 2024)

Mixed Newton Method for Optimization in Complex Spaces. - Nikita Yudin; Roland Hildebrand; Sergey Bakhurin; Alexander Degtyarev; Anna Lisachenko; Ilya A. Kuruzov; Andrei Semenov; Mohammad S. Alkousa (CoRR, 2024)