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20212025
most citedRandom coordinate descent methods for nonseparable composite optimization

5 citations · 7 across the 5 of their papers we have counts for

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5 papers

math.OC2025★ 1 cited

Coordinate projected gradient descent minimization and its application to orthogonal nonnegative matrix factorization

Flavia Chorobura, Daniela Lupu, Ion Necoara

In this paper we consider large-scale composite nonconvex optimization problems having the objective function formed as a sum of three terms, first has block coordinate-wise Lipsch…

math.OC2025

An adaptive forward-backward-forward splitting algorithm for solving pseudo-monotone inclusions

Flavia Chorobura, Ion Necoara, Jean-Christophe Pesquet

In this paper, we propose an adaptive forward-backward-forward splitting algorithm for finding a zero of a pseudo-monotone operator which is split as a sum of three operators: the…

math.OC2024

Coordinate descent methods beyond smoothness and separability

Flavia Chorobura, Ion Necoara

This paper deals with convex nonsmooth optimization problems. We introduce a general smooth approximation framework for the original function and apply random (accelerated) coordin…

math.OC2022★ 5 cited

Random coordinate descent methods for nonseparable composite optimization

Flavia Chorobura, Ion Necoara

In this paper we consider large-scale composite optimization problems having the objective function formed as a sum of two terms (possibly nonconvex), one has (block) coordinate-wi…

math.OC2021★ 1 cited

Efficiency of stochastic coordinate proximal gradient methods on nonseparable composite optimization

I. Necoara, F. Chorobura

This paper deals with composite optimization problems having the objective function formed as the sum of two terms, one has Lipschitz continuous gradient along random subspaces and…