2017
Ranking Data with Continuous Labels through Oriented Recursive Partitions
NeurIPS 2017poster
We formulate a supervised learning problem, referred to as continuous ranking, where a continuous real-valued label Y is assigned to an observable r.v. X taking its values in a feature space X and the goal is to order all possible observations x in X by means of a scoring function s : X → R so that…