Iterative Refinement of Approximate Posterior for Training Directed Belief Networks
CoRR, Volume abs/1511.06382, 2015.
Recent advances in variational inference that make use of an inference or recognition network for training and evaluating deep directed graphical models have advanced well beyond traditional variational inference and Markov chain Monte Carlo methods. These techniques offer higher flexibility with simpler and faster inference; yet traini...More
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