Schulte, Oliver

A Markov Game Model for Valuing Player Actions in Ice Hockey

Answering Probabilistic Graph Queries from a single model

Causal Discovery from high-dimensional observational data

Data-driven action-value functions for evaluating players in professional team sports

Directed Models For Statistical Relational Learning

Graph neural networks for multimodal learning and representation

Independence assumptions for multi-relational classification

Link Strength Prediction Using Transaction-Based Matrix Factorization

Localizing violations of approximate constraints for data error detection

Model trees for identifying exceptional players in the NHL and NBA draft