NeurIPS 2019
Sun Dec 8th through Sat the 14th, 2019 at Vancouver Convention Center
Paper ID:6304
Title:Bayesian Optimization with Unknown Search Space

This paper proposes an algorithm to expand the search space for Bayesian optimization. The reviewers thought the work tackles an important problem and would be of interest to the community. The claims are well supported by empirical evidence and the paper is clearly written. There were concerns about the practicality of the method and that the work is a combination of well-known techniques. Because the paper presents a relatively novel approach and substantiates the claims with strong supporting evidence, it seems to be above the bar of acceptance.