Corpus ID: 51907057

Mixture Matrix Completion

@inproceedings{PimentelAlarcn2018MixtureMC,
  title={Mixture Matrix Completion},
  author={Daniel L. Pimentel-Alarc{\'o}n},
  booktitle={NeurIPS},
  year={2018}
}
Completing a data matrix X has become an ubiquitous problem in modern data science, with motivations in recommender systems, computer vision, and networks inference, to name a few. One typical assumption is that X is low-rank. A more general model assumes that each column of X corresponds to one of several low-rank matrices. This paper generalizes these models to what we call mixture matrix completion (MMC): the case where each entry of X corresponds to one of several low-rank matrices. MMC is… Expand
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