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

by Peng Zhao , Guilherme Rocha , Bin Yu
Venue:Annals of Statistics
Citations:88 - 3 self

Active Bibliography

69 The composite absolute penalties family for grouped and hierarchical variable selection – Peng Zhao, Guilherme Rocha, Bin Yu
152 An interior-point method for large-scale l1-regularized logistic regression – Kwangmoo Koh, Seung-jean Kim, Stephen Boyd, Yi Lin - 2007
Least Angle and L1 Regression: A Review ∗ – Tim Hesterberg, Nam Hee Choi, Lukas Meier, Chris Fraley - 802
17 ℓ1 Trend Filtering – Seung-Jean Kim, Kwangmoo Koh, Stephen Boyd, Dimitry Gorinevsky - 2007
Greedy and Relaxed Approximations to Model Selection: A simulation study – Guilherme V. Rocha, Bin Yu - 2008
26 SUPPORT UNION RECOVERY IN HIGH-DIMENSIONAL MULTIVARIATE REGRESSION – Guillaume Obozinski, Martin J. Wainwright, Michael I. Jordan - 2010
23 A SELECTIVE OVERVIEW OF VARIABLE SELECTION IN HIGH DIMENSIONAL FEATURE SPACE – Jianqing Fan, Jinchi Lv - 2010
191 Regularization paths for generalized linear models via coordinate descent – Jerome Friedman, Trevor Hastie, Rob Tibshirani - 2009
Minimum Description Length Penalization for Group and Multi-Task Sparse Learning – Paramveer S. Dhillon, Dean P. Foster, Lyle H. Ungar, Francis Bach
Structured Estimation In High-Dimensions – Sahand N Negahban, Sahand N. Negahban, Sahand N. Negahban
Adaptive Regularization through Entire Solution Surface – Seongho Wu, Xiaotong Shen, Charles J. Geyer
1 Stagewise Lasso – Peng Zhao, Bin Yu, Saharon Rosset
8 On the ℓ1-ℓq Regularized Regression – Han Liu, Jian Zhang - 2008
2. Function space / normRegularizations – Francis Bach, Special Thanks To R. Jenatton, J. Mairal, G. Obozinski Supervised Learning, Data Xi X, Yi Y, Function Space Norm - 2009
3 Structured Sparsity through Convex Optimization – Francis Bach, Rodolphe Jenatton, Julien Mairal, Guillaume Obozinski
56 An interior-point method for large-scale ℓ1-regularized logistic regression – Seung-jean Kim, K. Koh, M. Lustig, Stephen Boyd, Dimitry Gorinevsky - 2007
3 Regularization of Case-Specific Parameters for Robustness and Efficiency – Yoonkyung Lee, The Ohio, Steven N. Maceachern, Yoonkyung Lee, Steven N. Maceachern, Yoonsuh Jung - 2007
11 Interpretable classifiers for FMRI improve prediction of purchases – Logan Grosenick, Stephanie Greer, Brian Knutson
• Specifity: exchanges between theory / algorithms / applications – Francis Bach, Unsupervised Learning, Function Space Norm