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• #### Augmented L1 and Nuclear-Norm Models with a Globally Linearly Convergent Algorithm ﻿

(2012-01)
This paper studies the models of minimizing $||x||_1+1/(2\alpha)||x||_2^2$ where $x$ is a vector, as well as those of minimizing $||X||_*+1/(2\alpha)||X||_F^2$ where $X$ is a matrix and $||X||_*$ and $||X||_F$ are the ...
• #### Low-Rank Matrix Recovery using Unconstrained Smoothed-Lq Minimization ﻿

(2011-09)
A low-rank matrix can be recovered from a small number of its linear measurements. As a special case, the matrix completion problem aims to recover the matrix from a subset of its entries. Such problems share many common ...