RefineStat: Efficient Exploration for Probabilistic Program Synthesis

TL;DR

Probabilistic programming offers a powerful framework for modeling uncertainty, yet statistical model discovery in this domain entails navigating an immense search space under strict domain‐specific constraints. When small language models are tasked with generating probabilistic programs, they frequently produce outputs that suffer from both syn...

Opening excerpt from the authors’ abstract. source