I gave a talk at the Logic Seminar of the department of Mathematics and Statistics today. I talked about the algorithmic benefits of using propositional logic when solving optimisation and decision problems. As a concrete example, I used the Bounded Treewidth Bayesian Network Structure Learning Problem that we worked on a few years ago. Please find my slides: here.

Thank you to the logic group for having me, it was both interesting and fun.