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Learning Treatment Effects from Observational and Experimental Data.

, , and . AISTATS, volume 206 of Proceedings of Machine Learning Research, page 7126-7146. PMLR, (2023)

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A combination of exact algorithms for inference on Bayesian belief networks., and . Int. J. Approx. Reason., 5 (6): 521-542 (1991)An evaluation of machine-learning methods for predicting pneumonia mortality., , , , , , , , , and 5 other author(s). Artif. Intell. Medicine, 9 (2): 107-138 (1997)A new method for estimating the probability of causal relationships from observational data: Application to the study of the short-term effects of air pollution on cardiovascular and respiratory disease., , , , , and . Artif. Intell. Medicine, (May 2023)INKBLOT: A neurological diagnostic decision support system integrating causal and anatomical knowledge., , and . Artif. Intell. Medicine, 10 (3): 257-267 (1997)Probabilistic and decision-theoretic systems in medicine.. Artif. Intell. Medicine, 5 (4): 289-292 (1993)The 1990 AAAI Spring Symposium on Artificial Intelligence in Medicine., and . Artif. Intell. Medicine, 2 (5): 293-298 (1990)Stochastic simulation of Bayesian belief networks., and . Int. J. Approx. Reason., 2 (3): 331 (1988)Application of an efficient Bayesian discretization method to biomedical data., , , and . BMC Bioinform., (2011)Learning High-dimensional Directed Acyclic Graphs with Mixed Data-types., , and . CD@KDD, volume 104 of Proceedings of Machine Learning Research, page 4-21. PMLR, (2019)A Bayesian Approach for Identifying Multivariate Differences Between Groups., and . IDA, volume 9385 of Lecture Notes in Computer Science, page 275-285. Springer, (2015)