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Uncertainty in Artificial Intelligence : Proceedings of the ... Conference. Conference on Uncertainty in Artificial Intelligence|October 1, 2019
Identification of Personalized Effects Associated With Causal PathwaysIlya Shpitser, Eli ShermanUncertainty in Artificial Intelligence : Proceedings of the ... Conference. Conference on Uncertainty in Artificial Intelligence|December 31, 2019
Intervening on Network TiesEli Sherman, Ilya ShpitserAdvances in Neural Information Processing Systems|January 16, 2019
Identification and Estimation Of Causal Effects from Dependent DataEli Sherman, Ilya ShpitserCognitive Science|August 1, 2013
Counterfactual graphical models for longitudinal mediation analysis with unobserved confoundingIlya ShpitserJournal De La Societe Francaise De Statistique (2009)|November 26, 2020
Identification in Causal Models With Hidden VariablesIlya ShpitserProceedings of the ... AAAI Conference on Artificial Intelligence. AAAI Conference on Artificial Intelligence|May 26, 2018
Fair Inference on OutcomesRazieh Nabi, Ilya ShpitserProceedings of Machine Learning Research|April 16, 2019
Structure Learning Under Missing DataAlexander Gain, Ilya ShpitserProceedings of Machine Learning Research|December 9, 2020
Deriving Bounds and Inequality Constraints Using Logical Relations Among CounterfactualsNoam Finkelstein, Ilya ShpitserAnnals of Statistics|December 30, 2014
On the definition of a confounderTyler J VanderWeele, Ilya ShpitserAnnals of Statistics|September 19, 2017
CAUSAL INFERENCE WITH A GRAPHICAL HIERARCHY OF INTERVENTIONSIlya Shpitser, Eric Tchetgen TchetgenPageof 6