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Reinterpreting Importance-Weighted Autoencoders

Abstract · Apr 10, 2017 15:45 ·

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Arxiv Abstract

  • 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. 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, and visualize the implicit importance-weighted approximate posterior.

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