PRIM is a meta-learned Bayesian RCA method that marginalizes structural uncertainty via a MACE transformer neural process for zero-shot inference on systems up to 100 variables.
Causal discovery and inference: concepts and recent methodolog- ical advances
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PRIM: Meta-Learned Bayesian Root Cause Analysis
PRIM is a meta-learned Bayesian RCA method that marginalizes structural uncertainty via a MACE transformer neural process for zero-shot inference on systems up to 100 variables.