9 citations · 25 across the 22 of their papers we have counts for
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math.OC2020★ 9 cited
Iteratively Reweighted Least Squares for Basis Pursuit with Global Linear Convergence Rate
Christian Kümmerle, Claudio Mayrink Verdun, Dominik Stöger
The recovery of sparse data is at the core of many applications in machine learning and signal processing. While such problems can be tackled using -regularization as in th…
math.OC2020★ 6 cited
Escaping Saddle Points in Ill-Conditioned Matrix Completion with a Scalable Second Order Method
Christian Kümmerle, Claudio M. Verdun
We propose an iterative algorithm for low-rank matrix completion that can be interpreted as both an iteratively reweighted least squares (IRLS) algorithm and a saddle-escaping smoo…