activity
20192022
most citedAccelerated Alternating Minimization and Adaptability to Strong Convexity

1 citations · 1 across the 2 of their papers we have counts for

collaborators

5 papers

math.OC2022

Numerical Methods for Large-Scale Optimal Transport

Nazarii Tupitsa, Pavel Dvurechensky, Darina Dvinskikh +1

The optimal transport (OT) problem is a classical optimization problem having the form of linear programming. Machine learning applications put forward new computational challenges…

math.OC20201 cited

Accelerated Alternating Minimization and Adaptability to Strong Convexity

Nazarii Tupitsa

In the first part of the paper we consider accelerated first order optimization method for convex functions with -Lipschitz-continuous gradient, that is able to automatically ad…

math.OC2020

Multimarginal Optimal Transport by Accelerated Alternating Minimization

Nazarii Tupitsa, Pavel Dvurechensky, Alexander Gasnikov +1

We consider a multimarginal optimal transport, which includes as a particular case the Wasserstein barycenter problem. In this problem one has to find an optimal coupling between $…

math.OC2019

Alternating Minimization Methods for Strongly Convex Optimization

Nazarii Tupitsa, Pavel Dvurechensky, Alexander Gasnikov +1

{We consider alternating minimization procedures for convex optimization problems with variable divided in many block, each block being amenable for minimization with respect to it…

math.OC2019

On the Complexity of Approximating Wasserstein Barycenter

Alexey Kroshnin, Darina Dvinskikh, Pavel Dvurechensky +3

We study the complexity of approximating Wassertein barycenter of discrete measures, or histograms of size by contrasting two alternative approaches, both using entropic re…