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Darina Dvinskikh
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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
862018
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
822019
Optimal decentralized distributed algorithms for stochastic convex optimization
E Gorbunov, D Dvinskikh, A Gasnikov
arXiv preprint arXiv:1911.07363, 2019
522019
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
512021
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
512018
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
482019
Inexact model: A framework for optimization and variational inequalities
F Stonyakin, A Tyurin, A Gasnikov, P Dvurechensky, A Agafonov, ...
Optimization Methods and Software, 1-47, 2021
282021
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
272019
Decentralized distributed optimization for saddle point problems
A Rogozin, A Beznosikov, D Dvinskikh, D Kovalev, P Dvurechensky, ...
arXiv preprint arXiv:2102.07758, 2021
242021
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
242020
Recent theoretical advances in decentralized distributed convex optimization
E Gorbunov, A Rogozin, A Beznosikov, D Dvinskikh, A Gasnikov
arXiv preprint arXiv:2011.13259, 2020
212020
Improved Complexity Bounds in Wasserstein Barycenter Problem
D Dvinskikh, D Tiapkin
arXiv preprint arXiv:2010.04677, 2020
192020
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
172020
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
172019
Accelerated meta-algorithm for convex optimization problems
AV Gasnikov, DM Dvinskikh, PE Dvurechensky, DI Kamzolov, ...
Computational Mathematics and Mathematical Physics 61 (1), 17-28, 2021
162021
Oracle complexity separation in convex optimization
A Ivanova, P Dvurechensky, E Vorontsova, D Pasechnyuk, A Gasnikov, ...
Journal of Optimization Theory and Applications 193 (1), 462-490, 2022
122022
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
122019
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
92019
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
82020
Decentralized algorithms for wasserstein barycenters
D Dvinskikh
PQDT-Global, 2021
62021
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Articles 1–20