Relying solely on predictive models of AI in areas as diverse as health care, justice, and agriculture risks devastating consequences when correlations are mistaken for causation. Therefore, it is ...
This courses introduces causal inference methods, primarily using probabilistic graphical models, to identify and estimate counterfactual quantities as functions of observational data. We will discuss ...
In artificial intelligence and cognitive science, the formal language of probabilistic reasoning and statistical inference have proven useful to model intelligence. From a probabilistic perspective, ...