Dmitry Pasechnyuk

According to our database, Dmitry Pasechnyuk authored at least 11 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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., June, 2024

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

CoRR, 2023

Algorithms for Euclidean-Regularised Optimal Transport.

Dmitry Pasechnyuk, Michael Persiianov, Pavel E. Dvurechensky, Alexander V. Gasnikov

Proceedings of the Optimization and Applications - 14th International Conference, 2023

Judging Adam: Studying the Performance of Optimization Methods on ML4SE Tasks.

Dmitry Pasechnyuk, Anton Prazdnichnykh, Mikhail Evtikhiev, Timofey Bryksin

Proceedings of the 45th IEEE/ACM International Conference on Software Engineering: New Ideas and Emerging Results, 2023

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

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

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

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

Network utility maximization by updating individual transmission rates.

Dmitry Pasechnyuk

CoRR, 2021

Adaptive Catalyst for Smooth Convex Optimization.

Anastasiya Ivanova, Dmitry Pasechnyuk, Dmitry Grishchenko, Egor Shulgin, Alexander V. Gasnikov, Vladislav Matyukhin

Proceedings of the Optimization and Applications - 12th International Conference, 2021

On the Computational Efficiency of Catalyst Accelerated Coordinate Descent.

Dmitry Pasechnyuk, Vladislav Matyukhin

Proceedings of the Mathematical Optimization Theory and Operations Research, 2021

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

Proceedings of the Mathematical Optimization Theory and Operations Research, 2019