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20182022
most citedEscaping Saddle Points in Ill-Conditioned Matrix Completion with a Scalable Second Order Method

6 citations · 11 across the 3 of their papers we have counts for

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math.OC2021★ 5 cited

A Scalable Second Order Method for Ill-Conditioned Matrix Completion from Few Samples

Christian Kümmerle, Claudio Mayrink Verdun

We propose an iterative algorithm for low-rank matrix completion that can be interpreted as an iteratively reweighted least squares (IRLS) algorithm, a saddle-escaping smoothing Ne…

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…

math.OC2018

Denoising and Completion of Structured Low-Rank Matrices via Iteratively Reweighted Least Squares

Christian Kümmerle, Claudio Mayrink Verdun

We propose a new Iteratively Reweighted Least Squares (IRLS) algorithm for the problem of completing or denoising low-rank matrices that are structured, e.g., that possess a Hankel…