In this task, you are given a part of an article. Your task is to generate headline (title) for this text. Preferred headlines are under fifteen words.

Modelling problems containing a mixture of Boolean and numerical variables<lb>is a long-standing interest of Artificial Intelligence. However, performing<lb>inference and learning in hybrid domains is a particularly daunting task.<lb>The ability to model this kind of domains is crucial in "learning to design"<lb>tasks, that is, learning applications where the goal is to learn from examples<lb>how to perform automatic de novo design of novel objects. In this paper we<lb>present Structured Learning Modulo Theories, a max-margin approach for<lb>learning in hybrid domains based on Satisfiability Modulo Theories, which<lb>allows to combine Boolean reasoning and optimization over continuous linear<lb>arithmetical constraints. We validate our method on artificial and real world<lb>scenarios.<lb>
Structured Learning Modulo Theories