Review for NeurIPS paper: Smooth And Consistent Probabilistic Regression Trees

Strengths: In general, I enjoyed reading this paper. The proposed method capitalizes on employing soft (a.k.a probabilistic) decision trees. However, PDE of each leaf (or region) is computed using non-parametric approach. I liked the idea of directly assigning a probability for the point reaching a particular leaf (region) rather than computing it along the path at each internal node by applying sigmoid like function which is commonly done is soft trees. Moreover, authors did a great job at investigating various aspects of their method.