Grouped and hierarchical model selection through composite absolute penalties (2006)

by Peng Zhao , Guilherme Rocha , Bin Yu
Venue:Annals of Statistics
Citations:94 - 3 self

Active Bibliography

70 The composite absolute penalties family for grouped and hierarchical variable selection – Peng Zhao, Guilherme Rocha, Bin Yu
158 An interior-point method for large-scale l1-regularized logistic regression – Kwangmoo Koh, Seung-jean Kim, Stephen Boyd, Yi Lin - 2007
212 Regularization paths for generalized linear models via coordinate descent – Jerome Friedman, Trevor Hastie, Rob Tibshirani - 2009
493 A tutorial on support vector regression – Alex J. Smola, Bernhard Schölkopf - 2004
525 Model selection and estimation in regression with grouped variables – Ming Yuan, Ming Yuan, Yi Lin, Yi Lin - 2006
861 Near Optimal Signal Recovery From Random Projections: Universal Encoding Strategies? – Emmanuel J. Candès , Terence Tao - 2004
674 Decoding by Linear Programming – Emmanuel J. Candès, Terence Tao - 2004
725 Probabilistic Outputs for Support Vector Machines and Comparisons to Regularized Likelihood Methods – John C. Platt - 1999
1719 Atomic decomposition by basis pursuit – Scott Shaobing Chen, David L. Donoho, Michael, A. Saunders - 1998