Regularization aims to improve prediction performance by trading an increase in training error for better agreement between training and prediction errors, which is ...

This paper studies the optimal tuning of the regularization parameter in LASSO or the threshold parameters in approximate message passing (AMP). Considering a model in which the design matrix and ...