Subsampling for supervised learning in reproducing kernel Hilbert spaces

Eyal Vayness, Maxime Sangnier

In the era of big data, subsampling became a common practice in statistical learning. By selecting a subgroup of individuals based on which the learner is trained, subsampling aims…