An Empirical Study of Stochastic Variational Inference Algorithms for the Beta Bernoulli Process

Amar Shah, David A. Knowles, Zoubin Ghahramani

Abstract: Stochastic variational inference (SVI) is emerging as the most promising candidate for scaling inference in Bayesian probabilistic models to large datasets. However, the performance of these method...