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Alexander Gasnikov
Alexander Gasnikov
Подтвержден адрес электронной почты в домене mipt.ru
Название
Процитировано
Процитировано
Год
Введение в математическое моделирование транспортных потоков
А Гасников
Litres, 2022
583*2022
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
3082018
A dual approach for optimal algorithms in distributed optimization over networks
CA Uribe, S Lee, A Gasnikov, A Nedić
2020 Information Theory and Applications Workshop (ITA), 1-37, 2020
1602020
Decentralize and randomize: Faster algorithm for Wasserstein barycenters
P Dvurechenskii, D Dvinskikh, A Gasnikov, C Uribe, A Nedich
Advances in Neural Information Processing Systems 31, 2018
1202018
Современные численные методы оптимизации. Метод универсального градиентного спуска
АВ Гасников
Федеральное государственное автономное образовательное учреждение высшего …, 2018
1182018
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
1112019
Stochastic intermediate gradient method for convex problems with stochastic inexact oracle
P Dvurechensky, A Gasnikov
Journal of Optimization Theory and Applications 171, 121-145, 2016
1072016
Stochastic optimization with heavy-tailed noise via accelerated gradient clipping
E Gorbunov, M Danilova, A Gasnikov
Advances in Neural Information Processing Systems 33, 15042-15053, 2020
1052020
Стохастические градиентные методы с неточным оракулом
АВ Гасников, ПЕ Двуреченский, ЮЕ Нестеров
Труды Московского физико-технического института 8 (1 (29)), 41-91, 2016
105*2016
Efficient numerical methods for entropy-linear programming problems
AV Gasnikov, EB Gasnikova, YE Nesterov, AV Chernov
Computational Mathematics and Mathematical Physics 56, 514-524, 2016
85*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
802019
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, 2016
752016
Universal method for stochastic composite optimization problems
AV Gasnikov, YE Nesterov
Computational Mathematics and Mathematical Physics 58, 48-64, 2018
722018
Optimal decentralized distributed algorithms for stochastic convex optimization
E Gorbunov, D Dvinskikh, A Gasnikov
arXiv preprint arXiv:1911.07363, 2019
712019
Decentralized and parallel primal and dual accelerated methods for stochastic convex programming problems
D Dvinskikh, A Gasnikov
Journal of Inverse and Ill-posed Problems 29 (3), 385-405, 2021
692021
Primal–dual accelerated gradient methods with small-dimensional relaxation oracle
Y Nesterov, A Gasnikov, S Guminov, P Dvurechensky
Optimization Methods and Software 36 (4), 773-810, 2021
682021
Recent theoretical advances in non-convex optimization
M Danilova, P Dvurechensky, A Gasnikov, E Gorbunov, S Guminov, ...
High-Dimensional Optimization and Probability: With a View Towards Data …, 2022
672022
Fast primal-dual gradient method for strongly convex minimization problems with linear constraints
A Chernov, P Dvurechensky, A Gasnikov
Discrete Optimization and Operations Research: 9th International Conference …, 2016
672016
Stochastic online optimization. Single-point and multi-point non-linear multi-armed bandits. Convex and strongly-convex case
AV Gasnikov, EA Krymova, AA Lagunovskaya, IN Usmanova, ...
Automation and remote control 78, 224-234, 2017
662017
Optimal algorithms for distributed optimization
CA Uribe, S Lee, A Gasnikov, A Nedić
arXiv preprint arXiv:1712.00232, 2017
632017
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