Pavel Dvurechensky
Cited by
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Computational optimal transport: Complexity by accelerated gradient descent is better than by Sinkhorn’s algorithm
P Dvurechensky, A Gasnikov, A Kroshnin
International conference on machine learning, 1367-1376, 2018
Stochastic gradient methods with inexact oracle
A Gasnikov, P Dvurechensky, Y Nesterov
arXiv preprint arXiv:1411.4218, 2014
Dual approaches to the minimization of strongly convex functionals with a simple structure under affine constraints
AS Anikin, AV Gasnikov, PE Dvurechensky, AI Tyurin, AV Chernov
Computational Mathematics and Mathematical Physics 57 (8), 1262-1276, 2017
Stochastic intermediate gradient method for convex problems with stochastic inexact oracle
P Dvurechensky, A Gasnikov
Journal of Optimization Theory and Applications 171 (1), 121-145, 2016
Decentralize and randomize: Faster algorithm for Wasserstein barycenters
P Dvurechensky, D Dvinskikh, A Gasnikov, CA Uribe, A Nedić
arXiv preprint arXiv:1806.03915, 2018
On the complexity of approximating Wasserstein barycenters
A Kroshnin, N Tupitsa, D Dvinskikh, P Dvurechensky, A Gasnikov, C Uribe
International conference on machine learning, 3530-3540, 2019
Fast primal-dual gradient method for strongly convex minimization problems with linear constraints
A Chernov, P Dvurechensky, A Gasnikov
International Conference on Discrete Optimization and Operations Researchá…, 2016
Learning supervised pagerank with gradient-based and gradient-free optimization methods
L Bogolubsky, P Dvurechensky, A Gasnikov, G Gusev, Y Nesterov, ...
arXiv preprint arXiv:1603.00717, 2016
Численные методы поиска равновесного распределения потоков в модели Бэкмана и в модели стабильной динамики
АВ Гасников, ПЕ Двуреченский, ЮВ Дорн, ЮВ Максимов
Математическое моделирование 28 (10), 40-64, 2016
Randomized similar triangles method: A unifying framework for accelerated randomized optimization methods (coordinate descent, directional search, derivative-free method)
P Dvurechensky, A Gasnikov, A Tiurin
arXiv preprint arXiv:1707.08486, 2017
About accelerated randomized methods
A Gasnikov, P Dvurechensky, I Usmanova
arXiv preprint arXiv:1508.02182, 2015
Mirror descent and convex optimization problems with non-smooth inequality constraints
A Bayandina, P Dvurechensky, A Gasnikov, F Stonyakin, A Titov
Large-Scale and Distributed Optimization, 181-213, 2018
Distributed computation of Wasserstein barycenters over networks
CA Uribe, D Dvinskikh, P Dvurechensky, A Gasnikov, A Nedić
2018 IEEE Conference on Decision and Control (CDC), 6544-6549, 2018
Gradient methods for problems with inexact model of the objective
FS Stonyakin, D Dvinskikh, P Dvurechensky, A Kroshnin, O Kuznetsova, ...
International Conference on Mathematical Optimization Theory and Operationsá…, 2019
Efficient numerical algorithms for regularized regression problem with applications to traffic matrix estimations
A Anikin, P Dvurechensky, A Gasnikov, A Golov, A Gornov, Y Maximov, ...
arXiv preprint arXiv:1508.00858, 2015
Поиск равновесий в многостадийных транспортных моделях
АВ Гасников, ПЕ Двуреченский, ДИ Камзолов, ЮЕ Нестеров, ...
Труды Московского физико-технического института 7 (4 (28)), 2015
Primal-dual method for searching equilibrium in hierarchical congestion population games
P Dvurechensky, A Gasnikov, E Gasnikova, S Matsievsky, A Rodomanov, ...
arXiv preprint arXiv:1606.08988, 2016
Near Optimal Methods for Minimizing Convex Functions with Lipschitz -th Derivatives
A Gasnikov, P Dvurechensky, E Gorbunov, E Vorontsova, ...
Conference on Learning Theory, 1392-1393, 2019
An accelerated method for derivative-free smooth stochastic convex optimization
E Gorbunov, P Dvurechensky, A Gasnikov
arXiv preprint arXiv:1802.09022, 2018
Поиск стохастических равновесий в транспортных моделях равновесного распределения потоков
АВ Гасников, ЕВ Гасникова, ПЕ Двуреченский, ЕИ Ершов, ...
Труды Московского физико-технического института 7 (4 (28)), 2015
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