- Tibshirani, R. (1996). Regression shrinkage and selection via the lasso. J. Royal. Statist. Soc B., Vol. 58, No. 1, pages 267-288).
- Efron, B., Johnstone, I., Hastie, T. and Tibshirani, R. (2002). Least angle regression.
- M. J. Wainwright, P. Ravikumar and J. Lafferty. High-dimensional graphical model selection using $\ell_1$-regularized logistic regression. Presented at Advances in Neural Information Processing Systems, December 2006. Vancouver. Canada
- "Analysis of Sparse Bayesian Learning". AC Faul, ME Tipping, NIPS 2002
- "Sparse Bayesian learning and the relevance vector machine" Tipping 2001 (There's also one from Bishop and Tipping on Variational Relevance vector machines)
- Predictive automatic relevance determination by expectation propagation, YA Qi, TP Minka, RW Picard, Z Ghahramani 2004.
- Assessing Relevance Determination Methods Using DELVE Radford Neal. Neural Networks and Machine Learning, 1998
- For most large underdetermined systems of equations, the minimal L1-norm near solution approximates the sparsest near-solution. Donoho, D.L. 2006
- H. Zou, T. Hastie, and R. Tibshirani. Sparse Principal Component Analysis. JCGS 2006 15(2): 262-286.