Пасечнюк Дмитрий Аркадьевич

Meruza Kubentayeva, Demyan Yarmoshik, Mikhail Persiianov, Alexey Kroshnin, Ekaterina Kotliarova, Nazarii Tupitsa, Dmitry Pasechnyuk, Alexander Gasnikov, Vladimir Shvetsov, Leonid Baryshev, Alexey Shurupov. Primal-Dual Gradient Methods for Searching Network Equilibria in Combined Models with Nested Choice Structure and Capacity Constraints (2024) Scopus DOI Q3

Beznosikov, A.N., Gasnikov, A.V., Zainullina, K.E., Maslovskii, A.Y., Pasechnyuk, D.A. A Unified Analysis of Variational Inequality Methods: Variance Reduction, Sampling, Quantization, and Coordinate Descent (2023) Computational Mathematics and Mathematical Physics, 63 (2), pp. 147-174. Scopus DOI Q2

Alkousa, M.S., Gasnikov, A.V., Gladin, E.L., Kuruzov, I.A., Pasechnyuk, D.A., Stonyakin, F.S. Solving strongly convex-concave composite saddle-point problems with low dimension of one group of variables (2023) Sbornik Mathematics, 214 (3), pp. 285-333. Scopus DOI Q2

Pasechnyuk, D.A., Persiianov, M., Dvurechensky, P., Gasnikov, A. Algorithms for Euclidean-Regularised Optimal Transport (2023) Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 14395 LNCS, pp. 84-98. Scopus DOI Q2

Ablaev S.S., Stonyakin F.S., Alkousa M.S., Pasechnyk D.A. Adaptive Methods for Variational Inequalities with Relatively Smooth and Reletively Strongly Monotone Operators (2023) Programming and Computer Software, 49 (6), pp. 485 - 492 Scopus DOI Q3

Hanzely, S., Kamzolov, D., Pasechnyuk, D., Gasnikov, A., Richtárik, P., Takáč, M. A Damped Newton Method Achieves Global O(1/K2) and Local Quadratic Convergence Rate (2022) Advances in Neural Information Processing Systems, 35. Scopus WOS DOI A*

Ivanova A., Dvurechensky P., Vorontsova E., Pasechnyuk D., Gasnikov A., Dvinskikh D., Tyurin A. Oracle Complexity Separation in Convex Optimization // Journal of Optimization Theory and Applications, Vol. 193, No. 1, P. 462 - 490 Scopus WOS DOI Q1

Stonyakin, F., Tyurin, A., Gasnikov, A., Dvurechensky, P., Agafonov, A., Dvinskikh, D., Alkousa, M., Pasechnyuk, D., Artamonov, S., Piskunova, V. Inexact model: a framework for optimization and variational inequalities (2021) Optimization Methods and Software, 36 (6), pp. 1155-1201. Scopus DOI Q1

Vorontsova, E.A., Gasnikov, A.V., Dvurechensky, P.E., Ivanova, A.S., Pasechnyuk, D.A. Numerical Methods for the Resource Allocation Problem in a Computer Network (2021) Computational Mathematics and Mathematical Physics, 61 (2), pp. 297-328. Scopus DOI Q2

Gasnikov, A.V., Dvinskikh, D.M., Dvurechensky, P.E., Kamzolov, D.I., Matyukhin, V.V., Pasechnyuk, D.A., Tupitsa, N.K., Chernov, A.V. Accelerated Meta-Algorithm for Convex Optimization Problems (2021) Computational Mathematics and Mathematical Physics, 61 (1), pp. 17-28. Scopus DOI Q2

Pasechnyuk, D., Dvurechensky, P., Omelchenko, S., Gasnikov, A. Stochastic Optimization for Dynamic Pricing (2021) Communications in Computer and Information Science, 1514 CCIS, pp. 82-94. Scopus WOS DOI Q4

Ivanova, A., Pasechnyuk, D., Grishchenko, D., Shulgin, E., Gasnikov, A., Matyukhin, V. Adaptive Catalyst for Smooth Convex Optimization (2021) Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 13078 LNCS, pp. 20-37. Scopus DOI Q4

Maslovskiy, A., Pasechnyuk, D., Gasnikov, A., Anikin, A., Rogozin, A., Gornov, A., Antonov, L., Vlasov, R., Nikolaeva, A., Begicheva, M. Non-convex Optimization in Digital Pre-distortion of the Signal (2021) Communications in Computer and Information Science, 1476 CCIS, pp. 54-70. Scopus WOS DOI Q4

Ivanova, A., Stonyakin, F., Pasechnyuk, D., Vorontsova, E., Gasnikov, A. Adaptive mirror descent for the network utility maximization problem (2020) IFAC-PapersOnLine, 53, pp. 7851-7856. Scopus WOS DOI Q3

Stonyakin, F.S., Dvinskikh, D., Dvurechensky, P., Kroshnin, A., Kuznetsova, O., Agafonov, A., Gasnikov, A., Tyurin, A., Uribe, C.A., Pasechnyuk, D., Artamonov, S. Gradient methods for problems with inexact model of the objective (2019) Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 11548 LNCS, pp. 97-114. Scopus DOI Q3