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When used as a surrogate objective for maximum likelihood estimation in latent variable models, the evidence lower bound (ELBO) produces state-of-the-art results.
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A lognormal central limit theorem for particle approximations of normalizing constants
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f-gan: Training generative neural samplers using variational divergence minimization
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Automatic differentiation variational inference
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Uncertainty in Deep Learning
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Tensorflow: Large-scale machine learning on heterogeneous distributed systems
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Dustin Tran, Rajesh Ranganath, and David M Blei · 2017
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Variational sequential Monte Carlo
Christian A Naesseth, Scott W Linderman, Rajesh Ranganath, and David M Blei · 2017
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Auto-encoding sequential Monte Carlo
Tuan Anh Le, Maximilian Igl, Tom Jin, Tom Rainforth, and Frank Wood · 2017
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