most citedCyclic Block Coordinate Descent With Variance Reduction for Composite Nonconvex Optimization

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

collaborators
Showing math.OCShow all

2 papers · 1 filter

math.OC2023

Complexity of Single Loop Algorithms for Nonlinear Programming with Stochastic Objective and Constraints

Ahmet Alacaoglu, Stephen J. Wright

We analyze the complexity of single-loop quadratic penalty and augmented Lagrangian algorithms for solving nonconvex optimization problems with functional equality constraints. We…

math.OC2023★ 1 cited

Cyclic Block Coordinate Descent With Variance Reduction for Composite Nonconvex Optimization

Xufeng Cai, Chaobing Song, Stephen J. Wright +1

Nonconvex optimization is central in solving many machine learning problems, in which block-wise structure is commonly encountered. In this work, we propose cyclic block coordinate…