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Semiparametric Inference For Causal Effects In Graphical Models With Hidden Variables.

, , и . J. Mach. Learn. Res., (2022)

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Razieh Behjati

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Causal Inference in the Presence of Interference in Sponsored Search Advertising., , , , и . CoRR, (2020)Semiparametric Inference For Causal Effects In Graphical Models With Hidden Variables., , и . J. Mach. Learn. Res., (2022)A Semiparametric Approach to Interpretable Machine Learning., , , и . CoRR, (2020)Learning Task-Aware Effective Brain Connectivity for fMRI Analysis with Graph Neural Networks (Extended Abstract)., , , , , , , , , и 2 other автор(ы). IEEE Big Data, стр. 4995-4996. IEEE, (2022)Optimal Training of Fair Predictive Models., , и . CLeaR, том 177 из Proceedings of Machine Learning Research, стр. 594-617. PMLR, (2022)Estimation of Personalized Effects Associated With Causal Pathways., , и . UAI, стр. 673-682. AUAI Press, (2018)On Testability and Goodness of Fit Tests in Missing Data Models., и . UAI, том 216 из Proceedings of Machine Learning Research, стр. 1467-1477. PMLR, (2023)Learning Optimal Fair Policies., , и . ICML, том 97 из Proceedings of Machine Learning Research, стр. 4674-4682. PMLR, (2019)coxphMIC: An R Package for Sparse Estimation of Cox Proportional Hazards Models via Approximated Information Criteria., и . R J., 9 (1): 229 (2017)Deep Dag Learning of Effective Brain Connectivity for FMRI Analysis., , , , , , , , , и 2 other автор(ы). ISBI, стр. 1-5. IEEE, (2023)