2020
Smooth And Consistent Probabilistic Regression Trees
NeurIPS 2020poster
We propose here a generalization of regression trees, referred to as Probabilistic Regression (PR) trees, that adapt to the smoothness of the prediction function relating input and output variables while preserving the interpretability of the prediction and being robust to noise. In PR trees, an obs…