Fast Implementation of ℓ1Regularized Learning Algorithms Using Gradient Descent Methods


With the advent of high-throughput technologies, l1 regularized learning algorithms have attracted much attention recently. Dozens of algorithms have been proposed for fast implementation, using various advanced optimization techniques. In this paper, we demonstrate that l1 regularized learning problems can be easily solved by using gradient-descent… (More)
DOI: 10.1137/1.9781611972801.75


4 Figures and Tables

Slides referencing similar topics