Asymptotic Properties of High Dimensional Random Forests

This paper derives consistency rates for random forests, as they are used in practice, in a general high-dimensional nonparametric regression setting. Our new theoretical results show that random forests can indeed adapt to high dimensionality and allow for discontinuous regression function.

December 2022 · Chien-Ming Chi, Patrick Vossler, Yingying Fan, Jinchi Lv