NeurIPS 2020

Learning Search Space Partition for Black-box Optimization using Monte Carlo Tree Search

Meta Review

The paper contains some interesting ideas of partitioning the search space in Bayesian optimization. Experimental studies are good, although the paper could benefit from another round of editing for the camera ready. Reviewers were not overly excited about the paper, but also did not identify any fundamental flaws. As such, it is recommended for acceptance as a poster. We strongly encourage the authors to take the feedback from the reviews into account when preparing the camera-ready version.