Reviews: The continuous Bernoulli: fixing a pervasive error in variational autoencoders

Neural Information Processing Systems 

This paper generated an incredible amount of discussion among the reviewers, with many "pros": -- The paper identifies a bad practice that so many others have not so carefully dealt with in the past. The paper asks the question: "if we assume as others before that we may treat as binary, are the bad implications negligible?" The paper shows that the answer is very much no by exploring the shape of the normalising constants and displaying a logical, scientifically exposited train of thought to precisely characterise the source of the resulting error. Adding experiments with new architectures would not give meaningful insights since it is a kind of independent choice. The reviewers would ask the authors to carefully incorporate this question and variants of this question in their final version: "If a Gaussian likelihood has a support mismatch, then just truncate the Gaussian on (0, 1), why not this choice?"