Compiling Markov chain Monte Carlo algorithms for probabilistic modeling

    PLDI, pp. 111-125, 2017.

    Cited by: 10|Bibtex|Views0|Links
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    Abstract:

    The problem of probabilistic modeling and inference, at a high-level, can be viewed as constructing a (model, query, inference) tuple, where an inference algorithm implements a query on a model. Notably, the derivation of inference algorithms can be a difficult and error-prone task. Hence, researchers have explored how ideas from probabil...More

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