A novel proximal projection operator for optimizing doubly sparse regression models that exploit predictor graph structure for group penalties.
Denote u as a p-dimensional vector and uNi such that (uNi)j ̸= 0 for j ∈ N i
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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.