Sketching Datasets for Large-Scale Learning (long version)

Rémi Gribonval, Antoine Chatalic, Nicolas Keriven +3

This article considers "compressive learning," an approach to large-scale machine learning where datasets are massively compressed before learning (e.g., clustering, classification…