About Evidence Lower Bound (ELBO) is a fundamental concept in variational inference, a technique used for approximating complex probability distributions in Bayesian statistics. It revolves around the idea of optimizing a simpler distribution to approximate a more complex one, particularly in contexts where exact inference is computationally infeasible. ELBO is especially useful when considering loss … Continue reading Review of Evidence Lower Bound