Learning Constraints from Examples
Luc De Raedt
2021 Invited Talk
in
Workshop: Subset Selection in Machine Learning: From Theory to Applications
in
Workshop: Subset Selection in Machine Learning: From Theory to Applications
Abstract
While constraints are ubiquitous in artificial intelligence and constraints are also commonly used in machine learning and data mining, the problem of learning constraints from examples has received less attention. I will discuss the problem of constraint learning in general, and present some recent contributions in the learning of various types of constraints and models for combinatorial optimisation. This includes the learning of formulae in Excel, learning SMT formulae, MAX-SAT and Linear Programs.
Speaker
Luc De Raedt
Video
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