Approximate Variational Inference Based on a Finite Sample of Gaussian Latent Variables

11 Jun 2019Nikolaos GianniotisChristoph SchnörrChristian MolkenthinSanjay Singh Bora

Variational methods are employed in situations where exact Bayesian inference becomes intractable due to the difficulty in performing certain integrals. Typically, variational methods postulate a tractable posterior and formulate a lower bound on the desired integral to be approximated, e.g. marginal likelihood... (read more)

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