Search Results for author: Chris Cremer

Found 2 papers, 1 papers with code

Inference Suboptimality in Variational Autoencoders

2 code implementations ICML 2018 Chris Cremer, Xuechen Li, David Duvenaud

Furthermore, we show that the parameters used to increase the expressiveness of the approximation play a role in generalizing inference rather than simply improving the complexity of the approximation.

Reinterpreting Importance-Weighted Autoencoders

no code implementations10 Apr 2017 Chris Cremer, Quaid Morris, David Duvenaud

The standard interpretation of importance-weighted autoencoders is that they maximize a tighter lower bound on the marginal likelihood than the standard evidence lower bound.

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