Stochastic Variational Inference

29 Jun 2012Matt HoffmanDavid M. BleiChong WangJohn Paisley

We develop stochastic variational inference, a scalable algorithm for approximating posterior distributions. We develop this technique for a large class of probabilistic models and we demonstrate it with two probabilistic topic models, latent Dirichlet allocation and the hierarchical Dirichlet process topic model... (read more)

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