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Razieh Nabi

Showing results (1-10 of 10) with videos related to

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Proceedings of the ... AAAI Conference on Artificial Intelligence. AAAI Conference on Artificial Intelligence|May 26, 2018
Fair Inference on OutcomesRazieh Nabi, Ilya Shpitser
Uncertainty in Artificial Intelligence : Proceedings of the ... Conference. Conference on Uncertainty in Artificial Intelligence|January 16, 2019
Estimation of Personalized Effects Associated With Causal PathwaysRazieh Nabi, Phyllis Kanki, Ilya Shpitser
Proceedings of Machine Learning Research|December 31, 2019
Learning Optimal Fair PoliciesRazieh Nabi, Daniel Malinsky, Ilya Shpitser
Proceedings of Machine Learning Research|December 7, 2020
Full Law Identification in Graphical Models of Missing Data: Completeness ResultsRazieh Nabi, Rohit Bhattacharya, Ilya Shpitser
Frontiers in Big Data|July 8, 2022
Causal Inference in the Presence of Interference in Sponsored Search AdvertisingRazieh Nabi, Joel Pfeiffer, Denis Charles, et al.
Statistics in Medicine|May 27, 2026
Assessing Racial Disparities in Healthcare Expenditures via Mediator Distribution ShiftsXiaxian Ou, Xinwei He, David Benkeser, et al.
Uncertainty in Artificial Intelligence : Proceedings of the ... Conference. Conference on Uncertainty in Artificial Intelligence|December 31, 2019
Identification In Missing Data Models Represented By Directed Acyclic GraphsRohit Bhattacharya, Razieh Nabi, Ilya Shpitser, et al.
Epidemiology (Cambridge, Mass.)|March 30, 2026
Target trial emulation without matching: a more efficient approach for evaluating vaccine effectiveness using observational dataEmily Wu, Elizabeth Rogawski McQuade, Mats Stensrud, et al.
Biometrics|October 14, 2024
Semiparametric sensitivity analysis: unmeasured confounding in observational studiesRazieh Nabi, Matteo Bonvini, Edward H Kennedy, et al.
Proceedings. IEEE International Symposium on Biomedical Imaging|June 13, 2024
DEEP DAG LEARNING OF EFFECTIVE BRAIN CONNECTIVITY FOR FMRI ANALYSISYue Yu, Xuan Kan, Hejie Cui, et al.
Pageof 1

Showing results (1-10 of 10) with videos related to

Sort By:
Pageof 1
Proceedings of the ... AAAI Conference on Artificial Intelligence. AAAI Conference on Artificial Intelligence|May 26, 2018
Fair Inference on OutcomesRazieh Nabi, Ilya Shpitser
Uncertainty in Artificial Intelligence : Proceedings of the ... Conference. Conference on Uncertainty in Artificial Intelligence|January 16, 2019
Estimation of Personalized Effects Associated With Causal PathwaysRazieh Nabi, Phyllis Kanki, Ilya Shpitser
Proceedings of Machine Learning Research|December 31, 2019
Learning Optimal Fair PoliciesRazieh Nabi, Daniel Malinsky, Ilya Shpitser
Proceedings of Machine Learning Research|December 7, 2020
Full Law Identification in Graphical Models of Missing Data: Completeness ResultsRazieh Nabi, Rohit Bhattacharya, Ilya Shpitser
Frontiers in Big Data|July 8, 2022
Causal Inference in the Presence of Interference in Sponsored Search AdvertisingRazieh Nabi, Joel Pfeiffer, Denis Charles, et al.
Statistics in Medicine|May 27, 2026
Assessing Racial Disparities in Healthcare Expenditures via Mediator Distribution ShiftsXiaxian Ou, Xinwei He, David Benkeser, et al.
Uncertainty in Artificial Intelligence : Proceedings of the ... Conference. Conference on Uncertainty in Artificial Intelligence|December 31, 2019
Identification In Missing Data Models Represented By Directed Acyclic GraphsRohit Bhattacharya, Razieh Nabi, Ilya Shpitser, et al.
Epidemiology (Cambridge, Mass.)|March 30, 2026
Target trial emulation without matching: a more efficient approach for evaluating vaccine effectiveness using observational dataEmily Wu, Elizabeth Rogawski McQuade, Mats Stensrud, et al.
Biometrics|October 14, 2024
Semiparametric sensitivity analysis: unmeasured confounding in observational studiesRazieh Nabi, Matteo Bonvini, Edward H Kennedy, et al.
Proceedings. IEEE International Symposium on Biomedical Imaging|June 13, 2024
DEEP DAG LEARNING OF EFFECTIVE BRAIN CONNECTIVITY FOR FMRI ANALYSISYue Yu, Xuan Kan, Hejie Cui, et al.
Pageof 1