A novel proximal projection operator for optimizing doubly sparse regression models that exploit predictor graph structure for group penalties.
Hence, we can summarize that : Qn(u) − Qn(0) = I1 + I2 + I3, where I1 d → 1 2 uT M u − uT W, while I3 + I4 d → 0 if supp(u) ⊆ J0 and I3 + I4 d → ∞ otherwise
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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.