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Prepared in 2020

[15] Stochastic Optimization with Heavy-Tailed Noise via Accelerated Gradient Clipping
Eduard Gorbunov, Marina Danilova and Alexander Gasnikov
arXiv: 2005.10785
May 2020

Prepared in 2019

[14] Derivative-Free Method For Decentralized Distributed Non-Smooth Optimization
Aleksandr Beznosikov, Eduard Gorbunov and Alexander Gasnikov
Accepted to IFAC World Congress 
arXiv: 1911.10645
November 2019

[13] Optimal Decentralized Distributed Algorithms for Stochastic Convex Optimization
Eduard Gorbunov, Darina Dvinskikh and Alexander Gasnikov
arXiv: 1911.07363
November 2019

[12] Accelerated Gradient-Free Optimization Methods with a Non-Euclidean Proximal Operator
E. Vorontsova, A. Gasnikov, E Gorbunov, P. Dvurechensky
Automation and Remote Control, August 2019, Volume 80, Issue 8, pp 1487–1501

[11] A Stochastic Derivative Free Optimization Method with Momentum
Eduard Gorbunov, Adel Bibi, Ozan Sener, El Houcine Bergou and Peter Richtárik
Published at ICLR 2020
arXiv: 1905.13278
May 2019

[10] A Unified Theory of SGD: Variance Reduction, Sampling, Quantization and Coordinate Descent
Eduard Gorbunov, Filip Hanzely and Peter Richtárik
Published at AISTATS 2020
arXiv: 1905.11261
May 2019

[9] On Primal-Dual Approach for Distributed Stochastic Convex Optimization over Networks
Darina Dvinskikh, Eduard Gorbunov, Alexander Gasnikov, Pavel Dvurechensky, Cesar A. Uribe
58th Conference on Decision and Control
arXiv: 1903.09844
March 2019

[8] Stochastic Three Points Method for Unconstrained Smooth Minimization
El Houcine Bergou, Eduard Gorbunov and Peter Richtárik
Accepted to SIAM Journal on Optimization
arXiv: 1902.03591
February 2019

[7] Distributed learning with compressed gradient differences
Konstantin Mishchenko, Eduard Gorbunov, Martin Takáč and Peter Richtárik
arXiv: 1901.09269
January 2019

Prepared in 2018

[6] The global rate of convergence for optimal tensor methods in smooth convex optimization
Alexander Gasnikov, Eduard Gorbunov, Dmitry Kovalev, Ahmed Mohammed,
Elena Chernousova
Computer Research and Modeling, 2018, Vol. 10:6
DOI:, arXiv: 1809.00382
September 2018

[5] On the upper bound for the mathematical expectation of the norm of a vector uniformly distributed on the sphere and the phenomenon of concentration of uniform measure on the sphere
Eduard Gorbunov, Evgeniya Vorontsova, Alexander Gasnikov
Mathematical Notes, 2019, Volume 106, Issue 1, Pages 13–23
DOI:, arXiv: 1804.03722
April 2018

[4] An Accelerated Directional Derivative Method for Smooth Stochastic Convex Optimization
Pavel Dvurechensky, Alexander Gasnikov, Eduard Gorbunov
arXiv: 1804.02394
April 2018

[3] An Accelerated Method for Derivative-Free Smooth Stochastic Convex Optimization
Eduard Gorbunov, Pavel Dvurechensky, Alexander Gasnikov
arXiv: 1802.09022
February 2018

[2] Stochastic Spectral and Conjugate Descent Methods
Dmitry Kovalev, Eduard Gorbunov, Elnur Gasanov, Peter Richtárik
Advances in Neural Information Processing Systems 31
arXiv: 1802.03703
February 2018