Posterior Mean Matching: Generative Modeling through Online Bayesian Inference

Sebastian Salazar, Michal Kucer, Yixin Wang +2

This paper introduces posterior mean matching (PMM), a new method for generative modeling that is grounded in Bayesian inference. PMM uses conjugate pairs of distributions to model…