Learning Curves for Noisy Heterogeneous Feature-Subsampled Ridge Ensembles

Benjamin S. Ruben, Cengiz Pehlevan

Feature bagging is a well-established ensembling method which aims to reduce prediction variance by combining predictions of many estimators trained on subsets or projections of fe…