Divide and Couple: Using Monte Carlo Variational Objectives for Posterior Approximation Justin Domke 1 and Daniel Sheldon 1, 2

Neural Information Processing Systems 

Recent work in variational inference (VI) uses ideas from Monte Carlo estimation to tighten the lower bounds on the log-likelihood that are used as objectives.

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