Prof. Dino Sejdinovic

Assoc. Prof. Dino Sejdinovic is broadly interested in statistical foundations underpinning large-scale machine learning algorithms, with a particular emphasis on nonparametric and kernel methods, and the resulting expressive models. Recent research focused on methods for discovery of higher-order interactions in datasets (when weak individual causes combine in a nonlinear way to form a strong effect), […]