Convergence rate bounds for a proximal ADMM with over-relaxation stepsize parameter for solving nonconvex linearly constrained problems
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Abstract (arXiv)
This paper establishes convergence rate bounds for a variant of the proximal alternating direction method of multipliers (ADMM) for solving nonconvex linearly constrained optimization problems. The variant of the proximal ADMM allows the inclusion of an over-relaxation stepsize parameter belonging to the interval (0,2). To the best of our knowledge, all related papers in the literature only consider the case where the over-relaxation parameter lies in the interval (0,(1+√5)/2).
Key facts. Cited by 3 papers in the map (data through 7 Oct 2026). First posted on arXiv 7 Feb 2017.
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Citing papers per year: 2023: 2; 2024: 0; 2025: 0; 2026: 1.
3 papers.
- 2023Damped Proximal Augmented Lagrangian Method for weakly-Convex Problems with Convex Constraintscited by 2
- 2023First-order Methods for Affinely Constrained Composite Non-convex Non-smooth Problems: Lower Complexity Bound and Near-optimal Methodscited by 0
- 2026Second-Order KKT Guarantees for Bregman ADMM in Nonconvex and Non-Lipschitz Optimizationcited by 0
- 2026Second-Order KKT Guarantees for Bregman ADMM in Nonconvex and Non-Lipschitz Optimization26 Jun 2026
- 2023Damped Proximal Augmented Lagrangian Method for weakly-Convex Problems with Convex Constraints15 Nov 2023
- 2023First-order Methods for Affinely Constrained Composite Non-convex Non-smooth Problems: Lower Complexity Bound and Near-optimal Methods14 Jul 2023