Darina Dvinskikh
Darina Dvinskikh
Weierstrass Institute for Applied Analysis and Stochastics
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Zitiert von
Zitiert von
Jahr
Decentralize and randomize: Faster algorithm for Wasserstein barycenters
P Dvurechensky, D Dvinskikh, A Gasnikov, CA Uribe, A Nedić
arXiv preprint arXiv:1806.03915, 2018
722018
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
582019
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
412018
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
402019
Decentralized and Parallel Primal and Dual Accelerated Methods for Stochastic Convex Programming Problems
D Dvinskikh, A Gasnikov
arXiv preprint arXiv:1904.09015, 2019
402019
Optimal decentralized distributed algorithms for stochastic convex optimization
E Gorbunov, D Dvinskikh, A Gasnikov
arXiv preprint arXiv:1911.07363, 2019
382019
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
182019
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
132020
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
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
122021
Oracle complexity separation in convex optimization
A Ivanova, E Vorontsova, D Pasechnyuk, A Gasnikov, P Dvurechensky, ...
arXiv preprint arXiv:2002.02706, 2020
102020
Improved Complexity Bounds in Wasserstein Barycenter Problem
D Dvinskikh, D Tiapkin
arXiv preprint arXiv:2010.04677, 2020
92020
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
72021
Recent theoretical advances in decentralized distributed convex optimization
E Gorbunov, A Rogozin, A Beznosikov, D Dvinskikh, A Gasnikov
arXiv preprint arXiv:2011.13259, 2020
72020
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
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
72019
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
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
62020
Decentralized distributed optimization for saddle point problems
A Rogozin, A Beznosikov, D Dvinskikh, D Kovalev, P Dvurechensky, ...
arXiv preprint arXiv:2102.07758, 2021
52021
Sa vs saa for population wasserstein barycenter calculation
D Dvinskikh
52020
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