Zero-Inflated Exponential Family Embeddings

@inproceedings{Liu2017ZeroInflatedEF,
  title={Zero-Inflated Exponential Family Embeddings},
  author={Li-Ping Liu and David M. Blei},
  booktitle={ICML},
  year={2017}
}
Word embeddings are a widely-used tool to analyze language, and exponential family embeddings (Rudolph et al., 2016) generalize the technique to other types of data. One challenge to fitting embedding methods is sparse data, such as a document/term matrix that contains many zeros. To address this issue, practitioners typically downweight or subsample the zeros, thus focusing learning on the non-zero entries. In this paper, we develop zero-inflated embeddings, a new embedding method that is… CONTINUE READING

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