Fisher Information based Stochastic Gradient Ascent for Online Learning of Dirichlet Process Mixture and Theory

Kart-Leong Lim, Xudong Jiang

Scalable algorithms of posterior approximation allow Bayesian nonparametrics such as Dirichlet process mixture to scale up to larger dataset at fractional cost. Recent algorithms,…