Fast Implementation of ℓ1Regularized Learning Algorithms Using Gradient Descent Methods

Abstract

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

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