Machine Learning, Linear Regression, Data Science, Artificial Intelligence.
problem by playing with the regularization parameters in a way such that we get artificially augmented data with size n+p and rank p. Thus, for the p > n case, the model can select all p features. See the paper for more details here. The Elastic-Net regularization penalty is designed to be strictly