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10/20/2019
Amortized Rejection Sampling in Universal Probabilistic Programming
Existing approaches to amortized inference in probabilistic programs wit...
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12/01/2017
Faithful Model Inversion Substantially Improves Auto-encoding Variational Inference
In learning deep generative models, the encoder for variational inferenc...
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03/02/2017
Using Synthetic Data to Train Neural Networks is Model-Based Reasoning
We draw a formal connection between using synthetic training data to opt...
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03/06/2016
