Revisiting Reweighted Wake-Sleep

ICLR 2019 Tuan Anh LeAdam R. KosiorekN. SiddharthYee Whye TehFrank Wood

Discrete latent-variable models, while applicable in a variety of settings, can often be difficult to learn. Sampling discrete latent variables can result in high-variance gradient estimators for two primary reasons: 1) branching on the samples within the model, and 2) the lack of a pathwise derivative for the samples... (read more)

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