Pavel Dvurechensky
Title
Cited by
Cited by
Year
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
1422018
Stochastic gradient methods with inexact oracle
A Gasnikov, P Dvurechensky, Y Nesterov
arXiv preprint arXiv:1411.4218, 2014
86*2014
Decentralize and randomize: Faster algorithm for Wasserstein barycenters
P Dvurechensky, D Dvinskikh, A Gasnikov, CA Uribe, A Nedić
arXiv preprint arXiv:1806.03915, 2018
722018
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
722016
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
69*2017
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
582019
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
532016
Learning supervised pagerank with gradient-based and gradient-free optimization methods
L Bogolubsky, P Dvurechenskii, A Gasnikov, G Gusev, Y Nesterov, ...
Advances in neural information processing systems 29, 4914-4922, 2016
502016
Accelerated alternating minimization
S Guminov, P Dvurechensky, A Gasnikov
arXiv preprint arXiv:1906.03622, 2019
462019
About accelerated randomized methods
A Gasnikov, P Dvurechensky, I Usmanova
arXiv preprint arXiv:1508.02182, 2015
45*2015
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
442016
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
422017
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
412018
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
402019
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
392018
Optimal tensor methods in smooth convex and uniformly convexoptimization
A Gasnikov, P Dvurechensky, E Gorbunov, E Vorontsova, ...
Conference on Learning Theory, 1374-1391, 2019
37*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
33*2015
Поиск равновесий в многостадийных транспортных моделях
АВ Гасников, ПЕ Двуреченский, ДИ Камзолов, ЮЕ Нестеров, ...
Труды Московского физико-технического института 7 (4 (28)), 2015
332015
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
312019
Primal–dual accelerated gradient methods with small-dimensional relaxation oracle
Y Nesterov, A Gasnikov, S Guminov, P Dvurechensky
Optimization Methods and Software, 1-38, 2020
292020
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Articles 1–20