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)

On the Computational Efficiency of Catalyst Accelerated Coordinate Descent. - Dmitry Pasechnyuk; Vladislav Matyukhin (MOTOR, 2021)

Adaptive Catalyst for Smooth Convex Optimization. - Anastasiya Ivanova; Dmitry Pasechnyuk; Dmitry Grishchenko; Egor Shulgin; Alexander V. Gasnikov; Vladislav Matyukhin (OPTIMA, 2021)

Network utility maximization by updating individual transmission rates. - Dmitry Pasechnyuk (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)

A Damped Newton Method Achieves Global $ mathcal O left( frac{1}{k^2} right)$ and Local Quadratic Convergence Rate. - Slavomír Hanzely; Dmitry Kamzolov; Dmitry Pasechnyuk; Alexander V. Gasnikov; Peter Richtárik; Martin Takác 001 (NeurIPS, 2022)

Oracle Complexity Separation in Convex Optimization. - Anastasiya Ivanova; Pavel E. Dvurechensky; Evgeniya A. Vorontsova; Dmitry Pasechnyuk; Alexander V. Gasnikov; Darina Dvinskikh; Alexander Tyurin (J. Optim. Theory Appl., 2022)

Judging Adam: Studying the Performance of Optimization Methods on ML4SE Tasks. - Dmitry Pasechnyuk; Anton Prazdnichnykh; Mikhail Evtikhiev; Timofey Bryksin (ICSE (NIER), 2023)

Algorithms for Euclidean-Regularised Optimal Transport. - Dmitry Pasechnyuk; Michael Persiianov; Pavel E. Dvurechensky; Alexander V. Gasnikov (OPTIMA, 2023)

Applying language models to algebraic topology: generating simplicial cycles using multi-labeling in Wu's formula. - Kirill Brilliantov; Fedor Pavutnitskiy; Dmitry Pasechnyuk; German Magai (ICML, 2024)

Primal-dual gradient methods for searching network equilibria in combined models with nested choice structure and capacity constraints. - Meruza Kubentayeva; Demyan Yarmoshik; Michael Persiianov; Alexey Kroshnin; Ekaterina Kotliarova; Nazarii Tupitsa; Dmitry Pasechnyuk; Alexander V. Gasnikov; Vladimir Shvetsov; Leonid Baryshev; Alexey Shurupov (Comput. Manag. Sci., 2024)

OPTAMI: Global Superlinear Convergence of High-order Methods. - Dmitry Kamzolov; Artem Agafonov; Dmitry Pasechnyuk; Alexander V. Gasnikov; Martin Takác 001 (ICLR, 2025)