Proximal Projection for Doubly Sparse Regularized Models

Jia Wei He, R. Ayesha Ali, Gerarda Darlington

Regularization is often used in high-dimensional regression settings to generate a sparse model, which can save tremendous computing resources and identify predictors that are most…