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TitleLinearized alternating direction method of multipliers for sparse group and fused LASSO models
Creator
Date Issued2014
Source PublicationComputational Statistics and Data Analysis
ISSN0167-9473
Volume79Pages:203-221
AbstractThe least absolute shrinkage and selection operator (LASSO) has been playing an important role in variable selection and dimensionality reduction for linear regression. In this paper we focus on two general LASSO models: Sparse Group LASSO and Fused LASSO, and apply the linearized alternating direction method of multipliers (LADMM for short) to solve them. The LADMM approach is shown to be a very simple and efficient approach to numerically solve these general LASSO models. We compare it with some benchmark approaches on both synthetic and real datasets. © 2014 Elsevier B.V. All rights reserved.
KeywordAlternating direction method of multipliers Convex optimization Least absolute shrinkage and selection operator Linear regression Variable selection
DOI10.1016/j.csda.2014.05.017
URLView source
Language英语English
Scopus ID2-s2.0-84903161800
Citation statistics
Cited Times:43[WOS]   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
Identifierhttp://repository.uic.edu.cn/handle/39GCC9TT/6521
CollectionBeijing Normal-Hong Kong Baptist University
Corresponding AuthorYuan,Xiaoming
Affiliation
1.Department of Mathematics, Hong Kong Baptist University,Kowloon Tong,Hong Kong
2.Division of Science and Technology, United International College,Zhuhai,China
Recommended Citation
GB/T 7714
Li,Xinxin,Mo,Lili,Yuan,Xiaominget al. Linearized alternating direction method of multipliers for sparse group and fused LASSO models[J]. Computational Statistics and Data Analysis, 2014, 79: 203-221.
APA Li,Xinxin, Mo,Lili, Yuan,Xiaoming, & Zhang,Jianzhong. (2014). Linearized alternating direction method of multipliers for sparse group and fused LASSO models. Computational Statistics and Data Analysis, 79, 203-221.
MLA Li,Xinxin,et al."Linearized alternating direction method of multipliers for sparse group and fused LASSO models". Computational Statistics and Data Analysis 79(2014): 203-221.
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