NeurIPS 2020

Towards Convergence Rate Analysis of Random Forests for Classification

Meta Review

The paper provides finite-sample convergence rates for two simplified variants of random forests. Overall, the contribution is purely theoretical. I personally think that this work shed new interesting ideas on the behavior of a learning algorithm that is intensively used world wide. This work clearly deserve a poster acceptation at NeurIPS.