Large-scale probabilistic predictors with and without guarantees of validity

Vladimir Vovk, Ivan Petej, Valentina Fedorova

This paper studies theoretically and empirically a method of turning machine-learning algorithms into probabilistic predictors that automatically enjoys a property of validity (per…