Doubly Reparameterized Gradient Estimators for Monte Carlo Objectives

international conference on learning representations, 2019.

Cited by: 38|Bibtex|Views114
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Other Links: dblp.uni-trier.de|academic.microsoft.com|arxiv.org

Abstract:

Deep latent variable models have become a popular model choice due to the scalable learning algorithms introduced by (Kingma u0026 Welling, 2013; Rezende et al., 2014). These approaches maximize a variational lower bound on the intractable log likelihood of the observed data. Burda et al. (2015) introduced a multi-sample variational bound...More

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