Empirical Risk Minimization under Random Censorship: Theory and Practice

Guillaume Ausset, Stéphan Clémençon, François Portier

We consider the classic supervised learning problem, where a continuous non-negative random label $Y$ (i.e. a random duration) is to be predicted based upon observing a random vect…