Reparameterization Gradients through Acceptance-Rejection Sampling Algorithms

AISTATS, pp. 489-498, 2017.

Cited by: 77|Views100
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Abstract:

Variational inference using the reparameterization trick has enabled large-scale approximate Bayesian inference in complex probabilistic models, leveraging stochastic optimization to sidestep intractable expectations. The reparameterization trick is applicable when we can simulate a random variable by applying a differentiable determinist...More

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