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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…
math.OC2022★ 2 cited
Towards Understanding The Semidefinite Relaxations of Truncated Least-Squares in Robust Rotation Search
Liangzu Peng, Mahyar Fazlyab, René Vidal
The rotation search problem aims to find a 3D rotation that best aligns a given number of point pairs. To induce robustness against outliers for rotation search, prior work conside…