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Safe Feature Elimination in Sparse Supervised Learning

17 September 2010
L. Ghaoui
V. Viallon
T. Rabbani
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Papers citing "Safe Feature Elimination in Sparse Supervised Learning"

20 / 70 papers shown
Title
Mind the duality gap: safer rules for the Lasso
Mind the duality gap: safer rules for the Lasso
Olivier Fercoq
Alexandre Gramfort
Joseph Salmon
44
138
0
13 May 2015
Quick sensitivity analysis for incremental data modification and its
  application to leave-one-out CV in linear classification problems
Quick sensitivity analysis for incremental data modification and its application to leave-one-out CV in linear classification problems
Shota Okumura
Yoshiki Suzuki
Ichiro Takeuchi
21
16
0
11 Apr 2015
Regularization Path of Cross-Validation Error Lower Bounds
Regularization Path of Cross-Validation Error Lower Bounds
Atsushi Shibagaki
Yoshiki Suzuki
Masayuki Karasuyama
Ichiro Takeuchi
47
11
0
09 Feb 2015
The Statistics of Streaming Sparse Regression
The Statistics of Streaming Sparse Regression
Jacob Steinhardt
Stefan Wager
Percy Liang
33
10
0
13 Dec 2014
Dynamic Screening: Accelerating First-Order Algorithms for the Lasso and
  Group-Lasso
Dynamic Screening: Accelerating First-Order Algorithms for the Lasso and Group-Lasso
Antoine Bonnefoy
Valentin Emiya
L. Ralaivola
Rémi Gribonval
38
86
0
12 Dec 2014
Robust sketching for multiple square-root LASSO problems
Robust sketching for multiple square-root LASSO problems
Vu Pham
L. Ghaoui
Arturo Fernandez
26
17
0
30 Oct 2014
Screening Rules for Overlapping Group Lasso
Screening Rules for Overlapping Group Lasso
Seunghak Lee
Eric P. Xing
29
16
0
25 Oct 2014
Two-Layer Feature Reduction for Sparse-Group Lasso via Decomposition of
  Convex Sets
Two-Layer Feature Reduction for Sparse-Group Lasso via Decomposition of Convex Sets
Jie Wang
Jieping Ye
32
47
0
15 Oct 2014
Screening Tests for Lasso Problems
Screening Tests for Lasso Problems
Z. Xiang
Yun Wang
Peter J. Ramadge
40
108
0
19 May 2014
Concise comparative summaries (CCS) of large text corpora with a human
  experiment
Concise comparative summaries (CCS) of large text corpora with a human experiment
Jinzhu Jia
Luke W. Miratrix
Bin-Xia Yu
Brian Gawalt
L. Ghaoui
Luke Barnesmoore
Sophie Clavier
52
17
0
29 Apr 2014
Randomized Sketches of Convex Programs with Sharp Guarantees
Randomized Sketches of Convex Programs with Sharp Guarantees
Mert Pilanci
Martin J. Wainwright
43
175
0
29 Apr 2014
An Algorithmic Framework for Computing Validation Performance Bounds by
  Using Suboptimal Models
An Algorithmic Framework for Computing Validation Performance Bounds by Using Suboptimal Models
Yoshiki Suzuki
Kohei Ogawa
Yuki Shinmura
Ichiro Takeuchi
25
0
0
10 Feb 2014
Safe Sample Screening for Support Vector Machines
Safe Sample Screening for Support Vector Machines
Kohei Ogawa
Yoshiki Suzuki
S. Suzumura
Ichiro Takeuchi
26
11
0
27 Jan 2014
Safe and Efficient Screening For Sparse Support Vector Machine
Safe and Efficient Screening For Sparse Support Vector Machine
Zheng Zhao
Jun Liu
33
9
0
30 Oct 2013
Scaling SVM and Least Absolute Deviations via Exact Data Reduction
Scaling SVM and Least Absolute Deviations via Exact Data Reduction
Jie Wang
Peter Wonka
Jieping Ye
38
69
0
25 Oct 2013
Safe Screening With Variational Inequalities and Its Application to
  LASSO
Safe Screening With Variational Inequalities and Its Application to LASSO
Jun Liu
Zheng Zhao
Jie Wang
Jieping Ye
29
95
0
29 Jul 2013
Efficient Mixed-Norm Regularization: Algorithms and Safe Screening
  Methods
Efficient Mixed-Norm Regularization: Algorithms and Safe Screening Methods
Jie Wang
Jun Liu
Jieping Ye
36
9
0
16 Jul 2013
Lasso Screening Rules via Dual Polytope Projection
Lasso Screening Rules via Dual Polytope Projection
Jie Wang
Peter Wonka
Jieping Ye
35
239
0
16 Nov 2012
Robust Parametric Classification and Variable Selection by a Minimum
  Distance Criterion
Robust Parametric Classification and Variable Selection by a Minimum Distance Criterion
Eric C. Chi
D. W. Scott
42
29
0
28 Sep 2011
Strong rules for discarding predictors in lasso-type problems
Strong rules for discarding predictors in lasso-type problems
Robert Tibshirani
Jacob Bien
J. Friedman
Trevor Hastie
N. Simon
Jonathan E. Taylor
R. Tibshirani
62
635
0
09 Nov 2010
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