Sparsity-Guided Multi-Parameter Selection in ${\ell }_1$-Regularized Models via a Fixed-Point Proximity Approach

Qianru Liu, Rui Wang, Yuesheng Xu

We study a regularization framework that combines a convex fidelity term with multiple ${\ell }_1$-based regularizers, each linked to a distinct linear transform. This multi-penalty m…