1. Regression shrinkage and selection via the lasso;Tibshirani;J. Roy. Stat. Soc.: Ser. B (Methodol.),1996
2. A.Y. Ng, Feature selection, l 1 vs. l 2 regularization, and rotational invariance, in: Proceedings of the twenty-first international conference on Machine learning, 2004, p. 78.
3. J.K. Bradley, A. Kyrola, D. Bickson, and C. Guestrin, Parallel coordinate descent for l1-regularized loss minimization, arXiv preprint arXiv:1105.5379, 2011.
4. An interior-point method for large-scale l1-regularized logistic regression;Koh;J. Mach. Learn. Res.,2007