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m-Transportability: Transportability of a Causal Effect from Multiple Environments.

, and . AAAI, AAAI Press, (2013)

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Lifted Representation of Relational Causal Models Revisited: Implications for Reasoning and Structure Learning., and . ACI@UAI, volume 1504 of CEUR Workshop Proceedings, page 56-65. CEUR-WS.org, (2015)Structural Causal Bandits: Where to Intervene?, and . NeurIPS, page 2573-2583. (2018)On Learning Causal Models from Relational Data., and . AAAI, page 3263-3270. AAAI Press, (2016)Fairness in Algorithmic Decision Making: An Excursion Through the Lens of Causality., , , and . WWW, page 2907-2914. ACM, (2019)m-Transportability: Transportability of a Causal Effect from Multiple Environments., and . AAAI, AAAI Press, (2013)Causal Transportability of Experiments on Controllable Subsets of Variables: z-Transportability., and . CoRR, (2013)Discovery of Hidden Similarity on Collaborative Filtering to Overcome Sparsity Problem., , and . Discovery Science, volume 3245 of Lecture Notes in Computer Science, page 396-402. Springer, (2004)A Characterization of Markov Equivalence Classes of Relational Causal Models under Path Semantics., and . UAI, AUAI Press, (2016)Learning Classifiers from Distributional Data., , , and . BigData Congress, page 302-309. IEEE Computer Society, (2013)A New Polynomial Time Algorithm for Bayesian Network Structure Learning., , and . ADMA, volume 4093 of Lecture Notes in Computer Science, page 501-508. Springer, (2006)