29 citations · 36 across the 10 of their papers we have counts for
4 papers · 1 filter
Block Coordinate Descent on Smooth Manifolds: Convergence Theory and Twenty-One Examples
Liangzu Peng, René Vidal
Block coordinate descent is an optimization paradigm that iteratively updates one block of variables at a time, making it quite amenable to big data applications due to its scalabi…
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…
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…
A Nonsmooth Dynamical Systems Perspective on Accelerated Extensions of ADMM
Guilherme França, Daniel P. Robinson, René Vidal
Recently, there has been great interest in connections between continuous-time dynamical systems and optimization methods, notably in the context of accelerated methods for smooth…