NeurIPS 2019
Sun Dec 8th through Sat the 14th, 2019 at Vancouver Convention Center
Paper ID:1311
Title:Partitioning Structure Learning for Segmented Linear Regression Trees

The paper proposes and investigates how to learn tree structure for linear regression trees based on a conditional Kendall’s tau statistics with theoretical analysis.The ideas were new and generally satisfying to reviewers. While some reviewers would have liked to see even more experiments and experimental comparisons and details, other reviewers felt that the author response about the experiments was satisfying.