most citedGlobal Linear and Local Superlinear Convergence of IRLS for Non-Smooth Robust Regression

5 citations · 5 across the 2 of their papers we have counts for

collaborators

2 papers

cs.IT2024

Sparse Recovery for Overcomplete Frames: Sensing Matrices and Recovery Guarantees

Xuemei Chen, Christian Kümmerle, Rongrong Wang

Signal models formed as linear combinations of few atoms from an over-complete dictionary or few frame vectors from a redundant frame have become central to many applications in hi…

math.OC2022★ 5 cited

Global Linear and Local Superlinear Convergence of IRLS for Non-Smooth Robust Regression

Liangzu Peng, Christian Kümmerle, René Vidal

We advance both the theory and practice of robust -quasinorm regression for by using novel variants of iteratively reweighted least-squares (IRLS) to solve th…