1 citations · 2 across the 5 of their papers we have counts for
Showing cs.LOShow all
2 papers · 1 filter
cs.LO2025
Compositional Inference for Bayesian Networks and Causality
Bart Jacobs, Márk Széles, Dario Stein
Inference is a fundamental reasoning technique in probability theory. When applied to a large joint distribution, it involves updating with evidence (conditioning) in one or more c…
cs.LO2023★ 1 cited
Pearl's and Jeffrey's Update as Modes of Learning in Probabilistic Programming
Bart Jacobs, Dario Stein
The concept of updating a probability distribution in the light of new evidence lies at the heart of statistics and machine learning. Pearl's and Jeffrey's rule are two natural upd…