Bayesian Machine Learning, Bayesian Statistics, Inference, Editors Pick, Getting Started.
divergence (KL) choice of tolerance (𝜀): The tolerance (𝜀) defines the boundary threshold between prior and posterior samples. This value can be as strict or lenient as the task requires. An adaptive threshold can often also be used. This starts relatively large and slowly decreases as sampling