Group Sparse Optimization

Approaches a group sparse solution of an underdetermined linear system. It implements the proximal gradient algorithm to solve a lower regularization model of group sparse learning. For details, please refer to the paper "Y. Hu, C. Li, K. Meng, J. Qin and X. Yang. Group sparse optimization via l_{p,q} regularization. Journal of Machine Learning Research, to appear, 2017".


Reference manual

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1.0 by Yaohua Hu, 4 years ago

Browse source code at

Authors: Yaohua Hu [aut, cre, cph] , Xinlin Hu [trl]

Documentation:   PDF Manual  

GPL (>= 2) license

Imports stats, ThreeWay, ggplot2

See at CRAN