Weighted Model Integration is a method for solving inference problems over arbitrary probabilistic models over constrained domains.
Constructive preference elicitation is a technique for learning user preference models over combinatorial domains.
Learning Modulo Theories is a machine learning framework to perform discriminative structured-output prediction over hybrid constrained domains.
Department of Information Engineering and Computer Science
University of Trento