A General Theoretical Framework for Learning Smallest Interpretable Models

Abstract

Full Citation:

Sebastian Ordyniak, Giacomo Paesani, Mateusz Rychlicki, Stefan Szeider. A General Theoretical Framework for Learning Smallest Interpretable Models. AAAI'24, the Thirty-Eighth AAAI Conference on Artificial Intelligence, February 20-27, Vancouver, Canada (Jennifer Dy and Sriraam Natarajan), pages 10662-10669, 2024, AAAI Press.

Stefan Szeider

Head of Research Unit

Stefan Szeider is a Professor at the Algorithms and Complexity Group.