We propose recursively imputed survival tree (RIST) regression for right-censored data. This new nonparametric regression procedure uses a novel recursive imputation approach combined with extremely randomized trees that allows significantly better use of censored data than previous tree-based...

This article introduces a new machine learning task, called latent supervised learning, where the goal is to learn a binary classifier from <italic>continuous</italic> training labels that serve as surrogates for the unobserved class labels. We investigate a specific model where the surrogate variable arises...

There is increasing interest in discovering individualized treatment rules (ITRs) for patients who have heterogeneous responses to treatment. In particular, one aims to find an optimal ITR that is a deterministic function of patient-specific characteristics maximizing expected clinical outcome....