PYPM-GGD: Pitman-Yor Process Mixture with Generalized Gaussian Density using ADAM

Large scale Bayesian nonparametrics (BNP) learner such as Stochastic Variational Inference (SVI) can handle datasets with large class number and large training size at fractional cost. Like its predecessor, SVI rely on the assumption of conjugate variational posterior to approximate the true posteri...