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cs.PL2024
Effect Handlers for Programmable Inference
Minh Nguyen, Roly Perera, Meng Wang +1
Inference algorithms for probabilistic programming are complex imperative programs with many moving parts. Efficient inference often requires customising an algorithm to a particul…
cs.PL2024
Modular Probabilistic Models via Algebraic Effects
Minh Nguyen, Roly Perera, Meng Wang +1
Probabilistic programming languages (PPLs) allow programmers to construct statistical models and then simulate data or perform inference over them. Many PPLs restrict models to a p…