Artificial Intelligence #information lattice#probabilistic graphical model
Information Lattice Learning Framework Enables Interpretable Structure Learning for Probabilistic Graphical Models
A new paper by Haizi Yu and Lav R. Varshney introduces Information Lattice Learning (ILL) as a method for interpretable structure learning of probabilistic graphical models. ILL learns rules by alternately projecting signals onto partition lattices and lifting selected rules back, with applications in constraint-based factor graphs and maximum entropy modeling.
Jun 22, 2026 1 source
