NeurIPS 2020

Variational Bayesian Monte Carlo with Noisy Likelihoods

Meta Review

This work extends an existing inference algorithm to the case of noisy or expensive likelihood evaluations. Reviewers expressed concern that the work is a bit incremental, but is thorough and addresses an important problem setting. Additionally, the paper could be improved by better more clearly motivating the techniques used in the proposed method.