Research Focus

My current research focuses on approximations and application of game theoretic concepts such as the shapley value and shapley interactions to the current field of explainable artificial intelligence. I work on developing new approximation algorithms for shapley interactions, which are both scalable to large feature counts and efficient. Particularly consistent estimator are of main interest.
Further I am also interested in preference learning and its connections to game theory.