Tag: cbo
-
Causal Bayesian Optimization with Unknown Graphs
Causal Bayesian Optimization with Unknown Graphs arXiv:2503.19554v1 Announce Type: new Abstract: Causal Bayesian Optimization (CBO) is a methodology designed to optimize an outcome variable by leveraging known causal relationships through targeted interventions. Traditional CBO methods require a fully and accurately specified causal graph, which is a limitation in many real-world scenarios where such graphs are…