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Stochastic Variational Inference

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Figure 1: Posterior topics from the hierarchical Dirichlet process topic model on two large data sets.These posteriors were approximated using stochastic variational inference with 1.8M ar-ticles from the New York Times (top) and 350K articles from Nature
Figure 2: A graphical model with observations x1:N, local hidden variables z1:N and global hiddenvariables β
Figure 3: Coordinate ascent mean-field variational inference.
Figure 4: Stochastic variational inference.
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