NeurIPS 2020

Sequential Bayesian Experimental Design with Variable Cost Structure

Meta Review

The authors describe an interesting approach to using mutual information within Bayesian optimal experimental design that appears to compare favorably to existing methods with respect to computation. The main reviewer concern is clarity of presentation of the method and the specific contribution of the paper. Discussing what approximations are being employed and their potential consequences would make the work more compelling.