Bayes beats Cross Validation: Efficient and Accurate Ridge Regression via Expectation Maximization

Shu Yu Tew, Mario Boley, Daniel F. Schmidt

We present a novel method for tuning the regularization hyper-parameter, $\lambda$, of a ridge regression that is faster to compute than leave-one-out cross-validation (LOOCV) while yiel…