Learning probabilities (p-concepts [13]) and other real-valued concepts (regression) is an important role of machine learning. For example, a doctor may need to predict the probability of getting a disease P [y|x], which depends on a number of risk factors. Generalized additive models [9] are a well-studied nonparametric model in the statistics literature, usually with monotonic link functions....