Review for NeurIPS paper: Generative causal explanations of black-box classifiers

Clarity: The paper is very well written and is a pleasure to read. I have, however, a few concerns about the choice of the overall paper structure and certain presentation decisions. I must first mention that they are highly subjective and may be partially a matter of taste. As such, they did not strongly impact my assessment, but I want to mention it to a) let authors know that there may be an issue b) communicate these considerations to other reviewers. The first concern is the author's decision of centering the paper presentation around the theme of causal explanations, while in the model that the authors consider, the causal part is equivalent to maximizing mutual information between a subset of latent features and the classifier decision.