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The Strong Screening Rule for SLOPE

The Strong Screening Rule for SLOPE

7 May 2020
Johan Larsson
M. Bogdan
J. Wallin
ArXivPDFHTML

Papers citing "The Strong Screening Rule for SLOPE"

16 / 16 papers shown
Title
Strong Screening Rules for Group-based SLOPE Models
Strong Screening Rules for Group-based SLOPE Models
Fabio Feser
Marina Evangelou
129
1
0
24 May 2024
Fast OSCAR and OWL Regression via Safe Screening Rules
Fast OSCAR and OWL Regression via Safe Screening Rules
Runxue Bao
Bin Gu
Heng-Chiao Huang
25
39
0
29 Jun 2020
Adaptive Bayesian SLOPE -- High-dimensional Model Selection with Missing
  Values
Adaptive Bayesian SLOPE -- High-dimensional Model Selection with Missing Values
Wei Jiang
M. Bogdan
Julie Josse
B. Miasojedow
Veronika Rockova
Traumabase Group
49
9
0
14 Sep 2019
Algorithmic Analysis and Statistical Estimation of SLOPE via Approximate
  Message Passing
Algorithmic Analysis and Statistical Estimation of SLOPE via Approximate Message Passing
Zhiqi Bu
Jason M. Klusowski
Cynthia Rush
Weijie Su
48
43
0
17 Jul 2019
Hybrid safe-strong rules for efficient optimization in lasso-type
  problems
Hybrid safe-strong rules for efficient optimization in lasso-type problems
Yaohui Zeng
Tianbao Yang
P. Breheny
24
7
0
27 Apr 2017
From safe screening rules to working sets for faster Lasso-type solvers
From safe screening rules to working sets for faster Lasso-type solvers
Mathurin Massias
Alexandre Gramfort
Joseph Salmon
37
20
0
21 Mar 2017
Gap Safe screening rules for sparsity enforcing penalties
Gap Safe screening rules for sparsity enforcing penalties
Eugène Ndiaye
Olivier Fercoq
Alexandre Gramfort
Joseph Salmon
55
125
0
17 Nov 2016
Fast and Scalable Lasso via Stochastic Frank-Wolfe Methods with a
  Convergence Guarantee
Fast and Scalable Lasso via Stochastic Frank-Wolfe Methods with a Convergence Guarantee
Emanuele Frandi
Ricardo Ñanculef
Stefano Lodi
Claudio Sartori
Johan A. K. Suykens
48
20
0
24 Oct 2015
Mind the duality gap: safer rules for the Lasso
Mind the duality gap: safer rules for the Lasso
Olivier Fercoq
Alexandre Gramfort
Joseph Salmon
74
138
0
13 May 2015
SLOPE is Adaptive to Unknown Sparsity and Asymptotically Minimax
SLOPE is Adaptive to Unknown Sparsity and Asymptotically Minimax
Weijie Su
Emmanuel Candes
213
145
0
29 Mar 2015
The Ordered Weighted $\ell_1$ Norm: Atomic Formulation, Projections, and
  Algorithms
The Ordered Weighted ℓ1\ell_1ℓ1​ Norm: Atomic Formulation, Projections, and Algorithms
Xiangrong Zeng
Mário A. T. Figueiredo
41
29
0
15 Sep 2014
Decreasing Weighted Sorted $\ell_1$ Regularization
Decreasing Weighted Sorted ℓ1\ell_1ℓ1​ Regularization
Xiangrong Zeng
Mário A. T. Figueiredo
112
52
0
11 Apr 2014
Lasso Screening Rules via Dual Polytope Projection
Lasso Screening Rules via Dual Polytope Projection
Jie Wang
Peter Wonka
Jieping Ye
75
239
0
16 Nov 2012
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
Robert Tibshirani
125
638
0
09 Nov 2010
Safe Feature Elimination in Sparse Supervised Learning
L. Ghaoui
V. Viallon
T. Rabbani
159
223
0
17 Sep 2010
Pathwise coordinate optimization
Pathwise coordinate optimization
J. Friedman
Trevor Hastie
Holger Hofling
Robert Tibshirani
181
2,052
0
10 Aug 2007
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