Dmitry Pasechnyuk

15 papers A* 3Journal 7Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Decentralised convex optimisation with probability-proportional-to-size quantization. EURO J. Comput. Optim. Dmitry Pasechnyuk, Pavel E. Dvurechensky, César A. Uribe, Alexander V. Gasnikov
2025	A*	`conf`	OPTAMI: Global Superlinear Convergence of High-order Methods. ICLR Dmitry Kamzolov, Artem Agafonov, Dmitry Pasechnyuk, Alexander V. Gasnikov, Martin Takác
2024	A*	`conf`	Applying language models to algebraic topology: generating simplicial cycles using multi-labeling in Wu's formula. ICML Kirill Brilliantov, Fedor Pavutnitskiy, Dmitry Pasechnyuk, German Magai
2024	J	`jnl`	Primal-dual gradient methods for searching network equilibria in combined models with nested choice structure and capacity constraints. Comput. Manag. Sci. Meruza Kubentayeva, Demyan Yarmoshik, Michael Persiianov, Alexey Kroshnin, Ekaterina Kotliarova, Nazarii Tupitsa, Dmitry Pasechnyuk, Alexander V. Gasnikov, Vladimir Shvetsov, Leonid Baryshev, Alexey Shurupov
2023	—	`conf`	Algorithms for Euclidean-Regularised Optimal Transport. OPTIMA Dmitry Pasechnyuk, Michael Persiianov, Pavel E. Dvurechensky, Alexander V. Gasnikov
2023	J	`jnl`	Applying language models to algebraic topology: generating simplicial cycles using multi-labeling in Wu's formula. CoRR Kirill Brilliantov, Fedor Pavutnitskiy, Dmitry Pasechnyuk, German Magai
2023	—	`conf`	Judging Adam: Studying the Performance of Optimization Methods on ML4SE Tasks. ICSE (NIER) Dmitry Pasechnyuk, Anton Prazdnichnykh, Mikhail Evtikhiev, Timofey Bryksin
2023	J	`jnl`	Judging Adam: Studying the Performance of Optimization Methods on ML4SE Tasks. CoRR Dmitry Pasechnyuk, Anton Prazdnichnykh, Mikhail Evtikhiev, Timofey Bryksin
2022	A*	`conf`	A Damped Newton Method Achieves Global $\mathcal O \left(\frac{1}{k^2}\right)$ and Local Quadratic Convergence Rate. NeurIPS Slavomír Hanzely, Dmitry Kamzolov, Dmitry Pasechnyuk, Alexander V. Gasnikov, Peter Richtárik, Martin Takác
2022	J	`jnl`	Oracle Complexity Separation in Convex Optimization. J. Optim. Theory Appl. Anastasiya Ivanova, Pavel E. Dvurechensky, Evgeniya A. Vorontsova, Dmitry Pasechnyuk, Alexander V. Gasnikov, Darina Dvinskikh, Alexander Tyurin
2021	—	`conf`	Adaptive Catalyst for Smooth Convex Optimization. OPTIMA Anastasiya Ivanova, Dmitry Pasechnyuk, Dmitry Grishchenko, Egor Shulgin, Alexander V. Gasnikov, Vladislav Matyukhin
2021	J	`jnl`	Inexact model: a framework for optimization and variational inequalities. Optim. Methods Softw. 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
2021	J	`jnl`	Network utility maximization by updating individual transmission rates. CoRR Dmitry Pasechnyuk
2021	—	`conf`	On the Computational Efficiency of Catalyst Accelerated Coordinate Descent. MOTOR Dmitry Pasechnyuk, Vladislav Matyukhin
2019	—	`conf`	Gradient Methods for Problems with Inexact Model of the Objective. MOTOR 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