no code implementations • 29 Sep 2022 • Blaž Škrlj, Adi Schwartz, Jure Ferlež, Davorin Kopič, Naama Ziporin
The main idea underlying this paradigm considers an incrementally updated model of the relation between the hyperparameter space and the output (target) space; the data for this model are obtained by evaluating the main learning engine, which is, for example, a factorization machine-based model.