Nabi, Razieh

11 publications

UAI 2023 On Testability and Goodness of Fit Tests in Missing Data Models Razieh Nabi, Rohit Bhattacharya

UAI 2023 Sufficient Identification Conditions and Semiparametric Estimation Under Missing Not at Random Mechanisms Anna Guo, Jiwei Zhao, Razieh Nabi

UAI 2022 On Testability of the Front-Door Model via Verma Constraints Rohit Bhattacharya, Razieh Nabi

CLeaR 2022 Optimal Training of Fair Predictive Models Razieh Nabi, Daniel Malinsky, Ilya Shpitser

UAI 2022 Semiparametric Causal Sufficient Dimension Reduction of Multidimensional Treatments Razieh Nabi, Todd McNutt, Ilya Shpitser

JMLR 2022 Semiparametric Inference for Causal Effects in Graphical Models with Hidden Variables Rohit Bhattacharya, Razieh Nabi, Ilya Shpitser

ICML 2020 Full Law Identification in Graphical Models of Missing Data: Completeness Results Razieh Nabi, Rohit Bhattacharya, Ilya Shpitser

UAI 2019 Identification in Missing Data Models Represented by Directed Acyclic Graphs Rohit Bhattacharya, Razieh Nabi, Ilya Shpitser, James M. Robins

ICML 2019 Learning Optimal Fair Policies Razieh Nabi, Daniel Malinsky, Ilya Shpitser

UAI 2018 Estimation of Personalized Effects Associated with Causal Pathways Razieh Nabi, Phyllis Kanki, Ilya Shpitser

AAAI 2018 Fair Inference on Outcomes Razieh Nabi, Ilya Shpitser