Eduard Gorbunov
Eduard Gorbunov
Verifierad e-postadress på phystech.edu - Startsida
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An accelerated method for derivative-free smooth stochastic convex optimization
E Gorbunov, P Dvurechensky, A Gasnikov
arXiv preprint arXiv:1802.09022, 2018
32*2018
Distributed learning with compressed gradient differences
K Mishchenko, E Gorbunov, M Takáč, P Richtárik
arXiv preprint arXiv:1901.09269, 2019
282019
The global rate of convergence for optimal tensor methods in smooth convex optimization
A Gasnikov, P Dvurechensky, E Gorbunov, E Vorontsova, ...
arXiv preprint arXiv:1809.00382, 2018
25*2018
A unified theory of sgd: Variance reduction, sampling, quantization and coordinate descent
E Gorbunov, F Hanzely, P Richtárik
International Conference on Artificial Intelligence and Statistics, 680-690, 2020
202020
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
162019
Accelerated directional search with non-Euclidean prox-structure
EA Vorontsova, AV Gasnikov, EA Gorbunov
Automation and Remote Control 80 (4), 693-707, 2019
15*2019
On Primal and Dual Approaches for Distributed Stochastic Convex Optimization over Networks
D Dvinskikh, E Gorbunov, A Gasnikov, P Dvurechensky, CA Uribe
2019 IEEE 58th Conference on Decision and Control (CDC), 7435-7440, 2019
11*2019
Optimal decentralized distributed algorithms for stochastic convex optimization
E Gorbunov, D Dvinskikh, A Gasnikov
arXiv preprint arXiv:1911.07363, 2019
112019
An Accelerated Directional Derivative Method for Smooth Stochastic Convex Optimization
EG Pavel Dvurechensky, Alexander Gasnikov
arXiv preprint arXiv:1804.02394, 2018
11*2018
Derivative-free method for composite optimization with applications to decentralized distributed optimization
A Beznosikov, E Gorbunov, A Gasnikov
arXiv preprint arXiv:1911.10645, 2019
9*2019
Stochastic three points method for unconstrained smooth minimization
EH Bergou, E Gorbunov, P Richtarik
SIAM Journal on Optimization 30 (4), 2726-2749, 2020
7*2020
Stochastic spectral and conjugate descent methods
D Kovalev, P Richtarik, E Gorbunov, E Gasanov
Advances in Neural Information Processing Systems, 3358-3367, 2018
62018
On the Upper Bound for the Expectation of the Norm of a Vector Uniformly Distributed on the Sphere and the Phenomenon of Concentration of Uniform Measure on the Sphere.
EA Gorbunov, EA Vorontsova, AV Gasnikov
Mathematical Notes 106, 2019
3*2019
A stochastic derivative free optimization method with momentum
E Gorbunov, A Bibi, O Sener, EH Bergou, P Richtárik
8th International Conference on Learning Representations (ICLR 2020) [arXiv …, 2019
32019
Stochastic Optimization with Heavy-Tailed Noise via Accelerated Gradient Clipping
E Gorbunov, M Danilova, A Gasnikov
arXiv preprint arXiv:2005.10785, 2020
22020
Accelerated Gradient-Free Optimization Methods with a Non-Euclidean Proximal Operator
EA Vorontsova, AV Gasnikov, EA Gorbunov, PE Dvurechenskii
Automation and Remote Control 80 (8), 1487-1501, 2019
22019
Reachability of optimal convergence rate estimates for high-order numerical convex optimization methods
AV Gasnikov, EA Gorbunov, DA Kovalev, AAM Mokhammed, ...
Doklady Mathematics 99 (1), 91-94, 2019
12019
Обоснование гипотезы об оптимальных оценках скорости сходимости численных методов выпуклой оптимизации высоких порядков
АВ Гасников, ЭА Горбунов, ДА Ковалев, ААМ Мохаммед, ...
Компьютерные исследования и моделирование 10 (6), 737-753, 2018
12018
Lecture Notes on Stochastic Processes
A Gasnikov, E Gorbunov, S Guz, E Chernousova, M Shirobokov, ...
arXiv preprint arXiv:1907.01060, 2019
2019
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Artiklar 1–19