Department of Computer Science, University of North Carolina at Charlotte, Charlotte, NC 28223, USA; Department of Mathematics, Ludwig-Maximilians-Universität München, 80799 Munich, Germany and Munich Center for Machine Learning (MCML)
Christian Kümmerle, Christian Kümmerle, Johannes Maly
low-rank models;sparsity;iteratively reweighted least squares;non-convex optimization;quadratic convergence;simultaneously structured data
Recovering Simultaneously Structured Data via Non-Convex Iteratively Reweighted Least Squares