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EM Based Bounding of Unidentifiable Queries in Structural Causal Models., , and . CoRR, (2020)Learning to Bound Counterfactual Inference in Structural Causal Models from Observational and Randomised Data., , , and . CoRR, (2022)Evaluating Asymmetric Decision Problems with Binary Constraint Trees., , and . ECSQARU, volume 7958 of Lecture Notes in Computer Science, page 85-96. Springer, (2013)Approximating counterfactual bounds while fusing observational, biased and randomised data sources., , , and . Int. J. Approx. Reason., (November 2023)Value-based potentials: Exploiting quantitative information regularity patterns in probabilistic graphical models., , , , and . Int. J. Intell. Syst., 36 (11): 6913-6943 (2021)Approximate Lazy Evaluation of Influence Diagrams., , , and . CAEPIA, volume 8109 of Lecture Notes in Computer Science, page 321-331. Springer, (2013)CREPO: An Open Repository to Benchmark Credal Network Algorithms., and . ISIPTA, volume 147 of Proceedings of Machine Learning Research, page 352-356. PMLR, (2021)Virtual Subconcept Drift Detection in Discrete Data Using Probabilistic Graphical Models., , , , and . IPMU (3), volume 855 of Communications in Computer and Information Science, page 616-628. Springer, (2018)CREDICI: A Java Library for Causal Inference by Credal Networks., , , and . PGM, volume 138 of Proceedings of Machine Learning Research, page 597-600. PMLR, (2020)InferPy: Probabilistic modeling with Tensorflow made easy., , and . Knowl. Based Syst., (2019)