Search Results for author:
Found 5 papers, 2 papers with code
Translating Recursive Probabilistic Programs to Factor Graph Grammars
It is natural for probabilistic programs to use conditionals to express alternative substructures in models, and loops (recursion) to express repeated substructures in models.
Sham: A DSL for Fast DSLs
Embedded or internal DSLs fit naturally with a host language, while inheriting the host's performance characteristics.
Programming Languages
From high-level inference algorithms to efficient code
They are algorithms whose idiomatic expression requires random array variables that are latent or whose likelihood is conjugate.
Programming Languages Probability
Composing inference algorithms as program transformations
Probabilistic inference procedures are usually coded painstakingly from scratch, for each target model and each inference algorithm.
