Machine Learning, Variational Inference, Bayesian Statistics, Artificial Intelligence.
computationally intensive and impractical for complex distributions. Often we’re just interested in a rough approximation to the posterior that scales well for deployment. Variational Inference (VI) frames the problem of approximating the posterior as an optimisation problem. Starting with a