Doubly Reparameterized Gradient Estimators for Monte Carlo Objectives

ICLR 2019 George TuckerDieterich LawsonShixiang GuChris J. Maddison

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

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