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Causal Discovery from Medical Data: Dealing with Missing Values and a Mixture of Discrete and Continuous Data.

, , , , , and . AIME, volume 9105 of Lecture Notes in Computer Science, page 177-181. Springer, (2015)

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Spectral Ranking of Causal Influence in Complex Systems., , and . CoRR, (2020)Robust Causal Estimation in the Large-Sample Limit without Strict Faithfulness., , and . AISTATS, volume 54 of Proceedings of Machine Learning Research, page 1523-1531. PMLR, (2017)Computing Lower and Upper Bounds on the Probability of Causal Statements., , , , and . Probabilistic Graphical Models, volume 52 of JMLR Workshop and Conference Proceedings, page 487-498. JMLR.org, (2016)Joint Causal Inference on Observational and Experimental Datasets., , and . CoRR, (2016)Causal Discovery from Databases with Discrete and Continuous Variables., , , and . Probabilistic Graphical Models, volume 8754 of Lecture Notes in Computer Science, page 442-457. Springer, (2014)A Bayesian Approach for Inferring Local Causal Structure in Gene Regulatory Networks., , , and . PGM, volume 72 of Proceedings of Machine Learning Research, page 37-48. PMLR, (2018)Joint Causal Inference from Multiple Contexts., , and . J. Mach. Learn. Res., (2020)Causal Shapley Values: Exploiting Causal Knowledge to Explain Individual Predictions of Complex Models., , , and . NeurIPS, (2020)Bayesian Probabilities for Constraint-Based Causal Discovery., and . IJCAI, page 2992-2996. IJCAI/AAAI, (2013)Beyond the Markov Equivalence Class: Extending Causal Discovery under Latent Confounding., , , and . CLeaR, volume 213 of Proceedings of Machine Learning Research, page 707-725. PMLR, (2023)