Reviews: Triangle Generative Adversarial Networks

Most importantly, I agree that the characterization of Triple GAN is somewhat misleading. The current paper should clarify that Triangle GAN fits a model to p_y(y x) rather than this density being required as given. The toy experiment should note that p_y(y x) in Triple GAN could be modeled as a mixture of Gaussians, although it is preferable that Triangle GAN does not require specifying this. The objective comes down to conditional GAN BiGAN/ALI. That is an intuitive and perhaps simple thing to try for the semi-supervised setting, but it's nice that this paper backs up the formulation with theory about behavior at optimality.