text: While I acknowledge that training generative models with binary latent variables is hard,  I'm not sure this paper really makes valuable progress in this direction.  The only results that seem promising are those on binarized MNIST, for the non-convolutional architecture,  and this setting isn't particularly exciting.  All other experiments seem to suggest that the proposed model/algorithm is behind the state of the art.  Moreover, the proposed approach is fairly incremental, compared to existing work on RWS, VIMCO, etc. So while this work seem to have been seriously and thoughtfully executed,  I think it falls short of the ICLR acceptance bar.