Compiling Markov chain Monte Carlo algorithms for probabilistic modeling
PLDI, pp. 111-125, 2017.
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