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A lasso for hierarchical interactions

A lasso for hierarchical interactions

22 May 2012
Jacob Bien
Jonathan E. Taylor
Robert Tibshirani
ArXivPDFHTML

Papers citing "A lasso for hierarchical interactions"

12 / 12 papers shown
Title
Information-Theoretic Guarantees for Recovering Low-Rank Tensors from Symmetric Rank-One Measurements
Information-Theoretic Guarantees for Recovering Low-Rank Tensors from Symmetric Rank-One Measurements
Eren C. Kızıldağ
79
0
0
07 Feb 2025
Predicting Census Survey Response Rates With Parsimonious Additive Models and Structured Interactions
Predicting Census Survey Response Rates With Parsimonious Additive Models and Structured Interactions
Shibal Ibrahim
P. Radchenko
E. Ben-David
Rahul Mazumder
250
2
0
24 Aug 2021
Degrees of freedom in lasso problems
Degrees of freedom in lasso problems
Robert Tibshirani
Jonathan E. Taylor
92
363
0
02 Nov 2011
Group Lasso with Overlaps: the Latent Group Lasso approach
Group Lasso with Overlaps: the Latent Group Lasso approach
G. Obozinski
Laurent Jacob
Jean-Philippe Vert
111
183
0
03 Oct 2011
Structured sparsity through convex optimization
Structured sparsity through convex optimization
Francis R. Bach
Rodolphe Jenatton
Julien Mairal
G. Obozinski
190
324
0
12 Sep 2011
Optimization with Sparsity-Inducing Penalties
Optimization with Sparsity-Inducing Penalties
Francis R. Bach
Rodolphe Jenatton
Julien Mairal
G. Obozinski
167
1,058
0
03 Aug 2011
The solution path of the generalized lasso
The solution path of the generalized lasso
Robert Tibshirani
Jonathan E. Taylor
172
862
0
11 May 2010
The composite absolute penalties family for grouped and hierarchical
  variable selection
The composite absolute penalties family for grouped and hierarchical variable selection
P. Zhao
Guilherme V. Rocha
Bin Yu
168
672
0
02 Sep 2009
Structured Variable Selection with Sparsity-Inducing Norms
Structured Variable Selection with Sparsity-Inducing Norms
Rodolphe Jenatton
Jean-Yves Audibert
Francis R. Bach
165
606
0
22 Apr 2009
Hierarchical selection of variables in sparse high-dimensional
  regression
Hierarchical selection of variables in sparse high-dimensional regression
Peter J. Bickel
Yaácov Ritov
Alexandre B. Tsybakov
187
38
0
08 Jan 2008
On the "degrees of freedom" of the lasso
On the "degrees of freedom" of the lasso
H. Zou
Trevor Hastie
Robert Tibshirani
200
1,040
0
06 Dec 2007
The log-linear group-lasso estimator and its asymptotic properties
The log-linear group-lasso estimator and its asymptotic properties
Yuval Nardi
Alessandro Rinaldo
125
26
0
21 Sep 2007
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