Efficient Mixed-Norm Regularization: Algorithms and Safe Screening Methods

16 Jul 2013Jie WangJun LiuJieping Ye

Sparse learning has recently received increasing attention in many areas including machine learning, statistics, and applied mathematics. The mixed-norm regularization based on the l1q norm with q>1 is attractive in many applications of regression and classification in that it facilitates group sparsity in the model... (read more)

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