Importance Weighting and Variational Inference

NeurIPS 2018 Justin DomkeDaniel Sheldon

Recent work used importance sampling ideas for better variational bounds on likelihoods. We clarify the applicability of these ideas to pure probabilistic inference, by showing the resulting Importance Weighted Variational Inference (IWVI) technique is an instance of augmented variational inference, thus identifying the looseness in previous work... (read more)

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