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A Selective Review of Group Selection in High-Dimensional Models

A Selective Review of Group Selection in High-Dimensional Models

29 April 2012
Jian Huang
P. Breheny
Shuangge Ma
ArXivPDFHTML

Papers citing "A Selective Review of Group Selection in High-Dimensional Models"

21 / 21 papers shown
Title
Decentralized Smoothing ADMM for Quantile Regression with Non-Convex
  Sparse Penalties
Decentralized Smoothing ADMM for Quantile Regression with Non-Convex Sparse Penalties
Reza Mirzaeifard
Diyako Ghaderyan
Stefan Werner
36
2
0
02 Aug 2024
Group Spike and Slab Variational Bayes
Group Spike and Slab Variational Bayes
M. Komodromos
Marina Evangelou
Sarah Filippi
Kolyan Ray
25
2
0
19 Sep 2023
Constrained Optimization of Rank-One Functions with Indicator Variables
Constrained Optimization of Rank-One Functions with Indicator Variables
Soroosh Shafieezadeh-Abadeh
Fatma Kılınç Karzan
21
4
0
31 Mar 2023
Unbiased estimation and asymptotically valid inference in multivariable
  Mendelian randomization with many weak instrumental variables
Unbiased estimation and asymptotically valid inference in multivariable Mendelian randomization with many weak instrumental variables
Yihe Yang
Noah Lorincz-Comi
Xiaolin Zhu
17
1
0
12 Jan 2023
A Splicing Approach to Best Subset of Groups Selection
A Splicing Approach to Best Subset of Groups Selection
Yanhang Zhang
Junxian Zhu
Jin Zhu
Xueqin Wang
18
18
0
23 Apr 2021
Grouped Variable Selection with Discrete Optimization: Computational and
  Statistical Perspectives
Grouped Variable Selection with Discrete Optimization: Computational and Statistical Perspectives
Hussein Hazimeh
Rahul Mazumder
P. Radchenko
32
27
0
14 Apr 2021
Fast Markov chain Monte Carlo for high dimensional Bayesian regression
  models with shrinkage priors
Fast Markov chain Monte Carlo for high dimensional Bayesian regression models with shrinkage priors
Rui Jin
Aixin Tan
24
8
0
16 Mar 2019
Integrative Multi-View Reduced-Rank Regression: Bridging Group-Sparse
  and Low-Rank Models
Integrative Multi-View Reduced-Rank Regression: Bridging Group-Sparse and Low-Rank Models
Gen Li
Xiaokang Liu
Kun Chen
26
6
0
26 Jul 2018
Scalable Bayesian regression in high dimensions with multiple data
  sources
Scalable Bayesian regression in high dimensions with multiple data sources
K. Perrakis
S. Mukherjee
The Alzheimer's Disease Neuroimaging Initiative
19
4
0
02 Oct 2017
An Interactive Greedy Approach to Group Sparsity in High Dimensions
An Interactive Greedy Approach to Group Sparsity in High Dimensions
Wei Qian
Wending Li
Yasuhiro Sogawa
R. Fujimaki
Xitong Yang
Ji Liu
11
7
0
10 Jul 2017
Data Integration with High Dimensionality
Data Integration with High Dimensionality
Xin Gao
R. Carroll
19
30
0
03 Oct 2016
Adaptive Fused LASSO in Grouped Quantile Regression
Adaptive Fused LASSO in Grouped Quantile Regression
Gabriela Ciuperca
16
13
0
19 Jul 2016
Variable selection and structure identification for varying coefficient
  Cox models
Variable selection and structure identification for varying coefficient Cox models
Toshio Honda
Ryota Yabe
27
9
0
19 Jul 2016
Learning Directed Acyclic Graphs with Penalized Neighbourhood Regression
Learning Directed Acyclic Graphs with Penalized Neighbourhood Regression
Bryon Aragam
Arash A. Amini
Qing Zhou
CML
19
42
0
29 Nov 2015
Regularization vs. Relaxation: A conic optimization perspective of
  statistical variable selection
Regularization vs. Relaxation: A conic optimization perspective of statistical variable selection
Hongbo Dong
Kun Chen
Jeff T. Linderoth
39
59
0
20 Oct 2015
The Benefit of Group Sparsity in Group Inference with De-biased Scaled
  Group Lasso
The Benefit of Group Sparsity in Group Inference with De-biased Scaled Group Lasso
Ritwik Mitra
Cun-Hui Zhang
45
46
0
13 Dec 2014
Group descent algorithms for nonconvex penalized linear and logistic
  regression models with grouped predictors
Group descent algorithms for nonconvex penalized linear and logistic regression models with grouped predictors
P. Breheny
Jian Huang
102
280
0
10 Sep 2012
Efficient Sparse Group Feature Selection via Nonconvex Optimization
Efficient Sparse Group Feature Selection via Nonconvex Optimization
Shuo Xiang
Xiao Tong
Jieping Ye
58
57
0
23 May 2012
Oracle Inequalities and Optimal Inference under Group Sparsity
Oracle Inequalities and Optimal Inference under Group Sparsity
Karim Lounici
Massimiliano Pontil
Alexandre B. Tsybakov
Sara van de Geer
125
379
0
11 Jul 2010
Taking Advantage of Sparsity in Multi-Task Learning
Taking Advantage of Sparsity in Multi-Task Learning
Karim Lounici
Massimiliano Pontil
Alexandre B. Tsybakov
Sara van de Geer
181
292
0
09 Mar 2009
High-dimensional additive modeling
High-dimensional additive modeling
L. Meier
Sara van de Geer
Peter Buhlmann
195
481
0
25 Jun 2008
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