most citedDeep Amortized Inference for Probabilistic Programs

38 citations · 38 across the 1 of their papers we have counts for

collaborators

1 paper

cs.AI2016★ 38 cited

Deep Amortized Inference for Probabilistic Programs

Daniel Ritchie, Paul Horsfall, Noah D. Goodman

Probabilistic programming languages (PPLs) are a powerful modeling tool, able to represent any computable probability distribution. Unfortunately, probabilistic program inference i…