A novel proximal projection operator for optimizing doubly sparse regression models that exploit predictor graph structure for group penalties.
Lemma 3 can be proved by verifying the properties of a norm
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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.