Advances in Black-Box VI: Normalizing Flows, Importance Weighting, and Optimization

18 Jun 2020Abhinav AgrawalDaniel SheldonJustin Domke

Recent research has seen several advances relevant to black-box VI, but the current state of automatic posterior inference is unclear. One such advance is the use of normalizing flows to define flexible posterior densities for deep latent variable models... (read more)

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