Reinterpreting Importance-Weighted Autoencoders

@inproceedings{Morris2017ReinterpretingIA,
  title={Reinterpreting Importance-Weighted Autoencoders},
  author={Quaid D Morris and David Duvenaud},
  booktitle={ICLR},
  year={2017}
}
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. We give an alternate interpretation of this procedure: that it optimizes the standard variational lower bound, but using a more complex distribution. We formally derive this result, present a tighter lower bound, and visualize the implicit importance-weighted distribution. 1 BACKGROUND The importance-weighted autoencoder… CONTINUE READING

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