Lipschitz stability of least-squares problems regularized by functions with $\mathcal{C}^2$-cone reducible conjugates
Ying Cui, Tim Hoheisel, Tran T. A. Nghia, and Defeng Sun

TL;DR
This paper establishes new conditions for Lipschitz stability of solutions in regularized least-squares problems with convex regularizers having $\ ext{C}^2$-cone reducible conjugates, using dual regularity and first-order analysis.
Contribution
It introduces a novel approach based on Robinson's strong regularity to characterize Lipschitz stability without second-order curvature information.
Findings
Solution mappings are Lipschitz continuous when locally single-valued.
New characterizations of full stability and tilt stability are provided.
Approach applies to a broad class of convex additive-composite problems.
Abstract
In this paper, we study Lipschitz continuity of the solution mappings of regularized least-squares problems for which the convex regularizers have (Fenchel) conjugates that are -cone reducible. Our approach, by using Robinson's strong regularity on the dual problem, allows us to obtain new characterizations of Lipschitz stability that rely solely on first-order information, thus bypassing the need to explore second-order information (curvature) of the regularizer. We show that these solution mappings are automatically Lipschitz continuous around the points in question whenever they are locally single-valued. We leverage our findings to obtain new characterizations of full stability and tilt stability for a broader class of convex additive-composite problems.
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Taxonomy
TopicsNumerical methods in inverse problems · Advanced Optimization Algorithms Research · Optimization and Variational Analysis
