Machine Learning, Probabilistic Models.
Variational Inference(VI) is an approximate inference method in Bayesian statistics. Given a model, we often want to infer its posterior density, given the observations we have. However, an exact inference about the posterior density requires the marginalization through all irrelevant parameters,