Bayesian Model Averaging for Data Driven Decision Making when Causality is Partially Known

Marios Papamichalis, Abhishek Ray, Ilias Bilionis +2

Probabilistic machine learning models are often insufficient to help with decisions on interventions because those models find correlations - not causal relationships. If observati…