ML-guided Interactive Constraint Acquisition
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I presented our work on ML-guided interactive constraint acquisition at CPAIOR 2026. Interactive Constraint Acquisition (CA) assists users in modelling combinatorial problems by learning constraints through queries, but typically requires a large number of queries. This talk covered how statistical machine learning can guide interactive CA to reduce the query burden, based on our published JAIR paper.