Paper

Globally-convergent Iteratively Reweighted Least Squares for Robust Regression Problems

We provide the first global model recovery results for the IRLS (iteratively reweighted least squares) heuristic for robust regression problems. IRLS is known to offer excellent performance, despite bad initializations and data corruption, for several parameter estimation problems... (read more)

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