Machine Learning, Variational Inference, Bayesian Statistics, Artificial Intelligence.
synthetic posterior Q(z | λ) built from families of simpler distributions (known as the variational family), we optimise over parameters λ that minimise the distance between the variational family and the true posterior P(z | x). This sounds cool but how do we choose the variational family? What