Machine Learning, Causal Inference
Machine Learning 1
Our goal is to answer: How can we make the machine learn to detect causal structures (e.g. distinguishing cause from effect) by observing and interacting with its environment and to consistently reason in it?
My current research is focused on how to model, discover and deal with causal structures with feedback loops and how to apply it to big data sets taken from observational and interventional experiments.