NeurIPS 2020

Diversity-Guided Multi-Objective Bayesian Optimization With Batch Evaluations

Meta Review

The reviewers all appreciate the focus of the topic and acknowledge that the paper made an interesting attempt in the MOBO problem. The empirical evaluations to some extent demonstrate the promise of the proposed algorithm in limited settings. As noted in the reviews, the analysis could be further improved by providing more rigorous justification and a thorough empirical study of why/when the algorithm would work. The authors are strongly encourged to address these issues in the revision.