Autoencoding Variational Inference For Topic Models

4 Mar 2017Akash SrivastavaCharles Sutton

Topic models are one of the most popular methods for learning representations of text, but a major challenge is that any change to the topic model requires mathematically deriving a new inference algorithm. A promising approach to address this problem is autoencoding variational Bayes (AEVB), but it has proven diffi- cult to apply to topic models in practice... (read more)

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