Pathwise coordinate optimization (2007)

by Jerome Friedman , Trevor Hastie , Holger Höfling , Robert Tibshirani
Venue:Annals of Applied Statistics
Citations:166 - 19 self

Active Bibliography

18 ℓ1 Trend Filtering – Seung-Jean Kim, Kwangmoo Koh, Stephen Boyd, Dimitry Gorinevsky - 2007
192 Regularization paths for generalized linear models via coordinate descent – Jerome Friedman, Trevor Hastie, Rob Tibshirani - 2009
37 Optimization with sparsity-inducing penalties – C F. Bach, R. Jenatton, J. Mairal, G. Obozinski, Francis Bach, Rodolphe Jenatton, Julien Mairal, Guillaume Obozinski - 2010
3 Structured Sparsity through Convex Optimization – Francis Bach, Rodolphe Jenatton, Julien Mairal, Guillaume Obozinski
153 An interior-point method for large-scale l1-regularized logistic regression – Kwangmoo Koh, Seung-jean Kim, Stephen Boyd, Yi Lin - 2007
STRUCTURED PRIORS FOR SUPERVISED LEARNING IN COMPUTATIONAL BIOLOGY – Docteur De, Supérieure Des, Mines De Paris, Laurent Jacob, M. Didier, Rognan Université, M. Francis, Bach Inria, École Normale, Supérieure Examinateur, Vert Mines, Paristech Examinateur, Copyright Laurent Jacob
97 Online learning for matrix factorization and sparse coding – Julien Mairal, Francis Bach, Ecole Normale Supérieure, Guillermo Sapiro
7 ELASTIC-NET REGULARIZATION IN LEARNING THEORY – Christine De Mol, Universit´·e Libre De, De Vito, Universit‘a Di Genova, C. De Mol, E. De Vito, L. Rosasco - 2008
23 A SELECTIVE OVERVIEW OF VARIABLE SELECTION IN HIGH DIMENSIONAL FEATURE SPACE – Jianqing Fan, Jinchi Lv - 2010
Contents – Christophe Ambroise, Julien Chiquet, Catherine Matias - 810
9 When do stepwise algorithms meet subset selection criteria? – Xiaoming Huo, Xuelei (Sherry) Ni - 2007
168 Sparse Reconstruction by Separable Approximation – Stephen J. Wright, Robert D. Nowak, Mário A. T. Figueiredo - 2008
5 Blind Source Separation: the Sparsity Revolution – J. Bobin , J.-L. Starck , Y. Moudden , M. J. Fadili - 2008
26 SUPPORT UNION RECOVERY IN HIGH-DIMENSIONAL MULTIVARIATE REGRESSION – Guillaume Obozinski, Martin J. Wainwright, Michael I. Jordan - 2010
16 Convex and network flow optimization for structured sparsity – Julien Mairal, Guillaume Obozinski, Francis Bach
57 An interior-point method for large-scale ℓ1- regularized logistic regression – Seung-jean Kim, K. Koh, M. Lustig, Stephen Boyd, Dimitry Gorinevsky - 2007
Sparse Penalized Forward Selection for Support Vector Classification – Subhashis Ghosal, Hao Helen Zhang, Wook Yeon Hwang
34 Component selection and smoothing in multivariate nonparametric regression – Yi Lin, Hao Helen Zhang
Networks and Multi-task Learning Problems – Mladen Kolar, Mladen Kolar - 2013