Franz Pernkopf

Active Bayesian Causal Inference

2022 · arXiv (Cornell University)

Causal discovery and causal reasoning are classically treated as separate and consecutive tasks: one first infers the causal graph, and then uses it to estimate causal effects of interventions. However, such a two-stage approach is …

Reliable Belief Propagation: Recent Theoretical and Practical Advances

2023

Belief propagation (BP) is an effective approximate inference method but lacks theoretical guarantees for loopy graphs. We discuss the optimization landscape and the message dynamics and how this helps to understand the behavior of message …