Proximal Projection for Doubly Sparse Regularized Models
arXiv:2605.05093v1 Announce Type: new
Abstract: 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 strongly associated wi…