Now showing items 1-1 of 1
The CCP Selector: Scalable Algorithms for Sparse Ridge Regression from Chance-Constrained Programming
Sparse regression and variable selection for large-scale data have been rapidly developed in the past decades. This work focuses on sparse ridge regression, which considers the exact $L_0$ norm to pursue the sparsity. We ...