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Monte Carlo Anti-Differentiation for Approximate Weighted Model Integration., and . CoRR, (2020)Learning constraints in spreadsheets and tabular data., , , and . Mach. Learn., 106 (9-10): 1441-1468 (2017)Learning Constraint Programming Models from Data Using Generate-And-Aggregate., , and . CP, volume 235 of LIPIcs, page 29:1-29:16. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, (2022)Optimization of the Patient Flow in a Forensic Psychiatric Hospital with Discrete Event Simulation., , , and . OR, page 403-408. Springer, (2021)Learning Linear Programs from Data., , and . ICTAI, page 1019-1026. IEEE, (2019)Learning MAX-SAT from contextual examples for combinatorial optimisation., , , and . Artif. Intell., (2023)Human-Machine Collaboration for Democratizing Data Science., , , , , and . Human-Like Machine Intelligence, Oxford University Press, (2022)TaCLe: Learning Constraints in Tabular Data., , , and . CIKM, page 2511-2514. ACM, (2017)Learning Weighted Model Integration Distributions., , , and . AAAI, page 5224-5231. AAAI Press, (2020)Learning MAX-SAT from Contextual Examples for Combinatorial Optimisation., , , and . AAAI, page 4493-4500. AAAI Press, (2020)