Learning Convex Inference of Marginals

Article, Preprint English OPEN
  • Subject: Statistics - Machine Learning | Computer Science - Learning

Graphical models trained using maximum likelihood are a common tool for probabilistic inference of marginal distributions. However, this approach suffers difficulties when either the inference process or the model is approximate. In this paper, the inference process is ... View more
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