Cross Validation for Correlated Data in Regression and Classification Models, with Applications to Deep Learning

Oren Yuval, Saharon Rosset

We present a methodology for model evaluation and selection where the sampling mechanism violates the i.i.d. assumption. Our methodology involves a formulation of the bias between…