A novel proximal projection operator for optimizing doubly sparse regression models that exploit predictor graph structure for group penalties.
Then the norm R(β) in the SGLIG model is decomposable with respect to the subspace pair MSG , M ⊥ SG
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Proximal Projection for Doubly Sparse Regularized Models
A novel proximal projection operator for optimizing doubly sparse regression models that exploit predictor graph structure for group penalties.