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A fast unified algorithm for solving group-lasso penalize learning problems
Yi Yang,
Hui Zou
Statistics (Twin Cities)
Research output
:
Contribution to journal
›
Article
›
peer-review
150
Scopus citations
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Dive into the research topics of 'A fast unified algorithm for solving group-lasso penalize learning problems'. Together they form a unique fingerprint.
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Keyphrases
Class Group
14%
Descent Algorithm
14%
Design Matrix
14%
General Design
14%
Group Lasso Penalty
14%
Group-wise
57%
Large Margin Classifier
14%
Learning Problems
100%
Least Absolute Shrinkage and Selection Operator (LASSO)
100%
Loss Function
14%
Majorization
28%
Majorization Conditions
14%
Orthonormal
14%
Penalized Learning
14%
Penalized Least Squares
14%
Publicly Available
14%
Quadratic Majorization
14%
Solution Path
14%
Unified Algorithm
100%
Mathematics
Design Matrix
33%
Least Square
33%
Loss Function
33%
Majorization
100%
Objective Function
33%
Real Data
33%
Simulated Data
33%