Darina Dvinskikh
Title
Cited by
Cited by
Year
Decentralize and randomize: Faster algorithm for Wasserstein barycenters
P Dvurechensky, D Dvinskikh, A Gasnikov, CA Uribe, A Nedić
arXiv preprint arXiv:1806.03915, 2018
642018
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
482019
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
372018
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 Operations …, 2019
332019
Decentralized and parallelized primal and dual accelerated methods for stochastic convex programming problems
D Dvinskikh, A Gasnikov
arXiv preprint arXiv:1904.09015, 2019
322019
Optimal decentralized distributed algorithms for stochastic convex optimization
E Gorbunov, D Dvinskikh, A Gasnikov
arXiv preprint arXiv:1911.07363, 2019
282019
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
152019
Accelerated methods for composite non-bilinear saddle point problem
M Alkousa, D Dvinskikh, F Stonyakin, A Gasnikov, D Kovalev
arXiv preprint arXiv:1906.03620, 2019
132019
Oracle complexity separation in convex optimization
A Ivanova, E Vorontsova, D Pasechnyuk, A Gasnikov, P Dvurechensky, ...
arXiv preprint arXiv:2002.02706, 2020
112020
Inexact model: A framework for optimization and variational inequalities
F Stonyakin, A Gasnikov, A Tyurin, D Pasechnyuk, A Agafonov, ...
arXiv preprint arXiv:1902.00990, 2019
112019
Inexact relative smoothness and strong convexity for optimization and variational inequalities by inexact model
F Stonyakin, A Tyurin, A Gasnikov, P Dvurechensky, A Agafonov, ...
arXiv preprint arXiv:2001.09013, 2020
102020
Adaptive gradient descent for convex and non-convex stochastic optimization
D Dvinskikh, A Ogaltsov, A Gasnikov, P Dvurechensky, A Tyurin, ...
arXiv preprint arXiv:1911.08380, 2019
72019
Accelerated meta-algorithm for convex optimization
A Gasnikov, D Dvinskikh, P Dvurechensky, D Kamzolov, V Matykhin, ...
arXiv preprint arXiv:2004.08691, 2020
62020
Accelerated and Unaccelerated Stochastic Gradient Descent in Model Generality
DM Dvinskikh, AI Tyurin, AV Gasnikov, CC Omel’chenko
Mathematical Notes 108 (3), 511-522, 2020
52020
On dual approach for distributed stochastic convex optimization over networks
D Dvinskikh, E Gorbunov, A Gasnikov, P Dvurechensky, CA Uribe
arXiv preprint arXiv:1903.09844, 2019
52019
Recent theoretical advances in decentralized distributed convex optimization
E Gorbunov, A Rogozin, A Beznosikov, D Dvinskikh, A Gasnikov
arXiv preprint arXiv:2011.13259, 2020
42020
Accelerated Methods for Saddle-Point Problem
MS Alkousa, AV Gasnikov, DM Dvinskikh, DA Kovalev, FS Stonyakin
Computational Mathematics and Mathematical Physics 60 (11), 1787-1809, 2020
42020
Improved Complexity Bounds in Wasserstein Barycenter Problem
D Dvinskikh, D Tiapkin
arXiv preprint arXiv:2010.04677, 2020
42020
SA vs SAA for population Wasserstein barycenter calculation
D Dvinskikh
arXiv preprint arXiv:2001.07697, 2020
42020
Accelerated and nonaccelerated stochastic gradient descent with model conception
D Dvinskikh, A Tyurin, A Gasnikov, S Omelchenko
arXiv preprint arXiv:2001.03443, 2020
42020
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Articles 1–20