Darina Dvinskikh

According to our database, Darina Dvinskikh authored at least 15 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Gradient-free methods for non-smooth convex stochastic optimization with heavy-tailed noise on convex compact.

Nikita Kornilov, Alexander V. Gasnikov, Pavel E. Dvurechensky, Darina Dvinskikh

Comput. Manag. Sci., December, 2023

Accelerated Zeroth-order Method for Non-Smooth Stochastic Convex Optimization Problem with Infinite Variance.

Nikita Kornilov, Ohad Shamir, Aleksandr V. Lobanov, Darina Dvinskikh, Alexander V. Gasnikov, Innokentiy Shibaev, Eduard Gorbunov, Samuel Horváth

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Stochastic approximation versus sample average approximation for Wasserstein barycenters.

Darina Dvinskikh

Optim. Methods Softw., 2022

Oracle Complexity Separation in Convex Optimization.

Anastasiya Ivanova, Pavel E. Dvurechensky, Evgeniya A. Vorontsova, Dmitry Pasechnyuk, Alexander V. Gasnikov, Darina Dvinskikh, Alexander Tyurin

J. Optim. Theory Appl., 2022

Decentralized personalized federated learning: Lower bounds and optimal algorithm for all personalization modes.

Abdurakhmon Sadiev, Ekaterina Borodich, Aleksandr Beznosikov, Darina Dvinskikh, Saveliy Chezhegov, Rachael Tappenden, Martin Takác, Alexander V. Gasnikov

EURO J. Comput. Optim., 2022

2021

Inexact model: a framework for optimization and variational inequalities.

Fedor S. Stonyakin, Alexander Tyurin, Alexander V. Gasnikov, Pavel E. Dvurechensky, Artem Agafonov, Darina Dvinskikh, Mohammad S. Alkousa, Dmitry Pasechnyuk, Sergei Artamonov, Victoria V. Piskunova

Optim. Methods Softw., 2021

Decentralized Distributed Optimization for Saddle Point Problems.

Alexander Rogozin, Aleksandr Beznosikov, Darina Dvinskikh, Dmitry Kovalev, Pavel E. Dvurechensky, Alexander V. Gasnikov

CoRR, 2021

Improved Complexity Bounds in Wasserstein Barycenter Problem.

Darina Dvinskikh, Daniil Tiapkin

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

SA vs SAA for population Wasserstein barycenter calculation.

Darina Dvinskikh

CoRR, 2020

2019

On the Complexity of Approximating Wasserstein Barycenter.

Alexey Kroshnin, Darina Dvinskikh, Pavel E. Dvurechensky, Alexander V. Gasnikov, Nazarii Tupitsa, César A. Uribe

CoRR, 2019

Gradient Methods for Problems with Inexact Model of the Objective.

Fedor S. Stonyakin, Darina Dvinskikh, Pavel E. Dvurechensky, Alexey Kroshnin, Olesya Kuznetsova, Artem Agafonov, Alexander V. Gasnikov, Alexander Tyurin, César A. Uribe, Dmitry Pasechnyuk, Sergei Artamonov

Proceedings of the Mathematical Optimization Theory and Operations Research, 2019

On the Complexity of Approximating Wasserstein Barycenters.

Alexey Kroshnin, Nazarii Tupitsa, Darina Dvinskikh, Pavel E. Dvurechensky, Alexander V. Gasnikov, Cesar A. Uribe

Proceedings of the 36th International Conference on Machine Learning, 2019

On Primal and Dual Approaches for Distributed Stochastic Convex Optimization over Networks.

Darina Dvinskikh, Eduard Gorbunov, Alexander V. Gasnikov, Pavel E. Dvurechensky, César A. Uribe

Proceedings of the 58th IEEE Conference on Decision and Control, 2019

2018

Decentralize and Randomize: Faster Algorithm for Wasserstein Barycenters.

Pavel E. Dvurechenskii, Darina Dvinskikh, Alexander V. Gasnikov, César A. Uribe, Angelia Nedich

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Distributed Computation of Wasserstein Barycenters Over Networks.

Cesar A. Uribe, Darina Dvinskikh, Pavel E. Dvurechensky, Alexander V. Gasnikov, Angelia Nedic

Proceedings of the 57th IEEE Conference on Decision and Control, 2018