Christopher Snyder

CausalGAN: Learning Causal Implicit Generative Models with Adversarial Training

We introduce causal implicit generative models (CiGMs): models that allow sampling from not only the true observational but also the true interventional distributions. We show that adversarial training can be used to learn a CiGM, if the generator architecture is structured based on a given causal g…