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ORCIDRazieh Nabi
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2020 – today
- 2024
[i17]Razieh Nabi, Nima S. Hejazi, Mark J. van der Laan, David C. Benkeser:
Statistical learning for constrained functional parameters in infinite-dimensional models with applications in fair machine learning. CoRR abs/2404.09847 (2024)- [i16]Razieh Nabi, David C. Benkeser:
Fair Risk Minimization under Causal Path-Specific Effect Constraints. CoRR abs/2408.01630 (2024) - [i15]Anna Guo, Razieh Nabi:
Average Causal Effect Estimation in DAGs with Hidden Variables: Extensions of Back-Door and Front-Door Criteria. CoRR abs/2409.03962 (2024) - [i14]Muralikrishnna G. Sethuraman, Razieh Nabi, Faramarz Fekri:
MissNODAG: Differentiable Cyclic Causal Graph Learning from Incomplete Data. CoRR abs/2410.18918 (2024) - 2023
- [c12]Yue Yu, Xuan Kan, Hejie Cui, Ran Xu, Yujia Zheng, Xiangchen Song, Yanqiao Zhu
, Kun Zhang, Razieh Nabi, Ying Guo, Chao Zhang, Carl Yang:
Deep Dag Learning of Effective Brain Connectivity for FMRI Analysis. ISBI 2023: 1-5 - [c11]Anna Guo, Jiwei Zhao, Razieh Nabi:
Sufficient identification conditions and semiparametric estimation under missing not at random mechanisms. UAI 2023: 777-787 - [c10]Razieh Nabi, Rohit Bhattacharya:
On Testability and Goodness of Fit Tests in Missing Data Models. UAI 2023: 1467-1477 - [i13]Jaron J. R. Lee, Rohit Bhattacharya, Razieh Nabi, Ilya Shpitser:
Ananke: A Python Package For Causal Inference Using Graphical Models. CoRR abs/2301.11477 (2023) - 2022
- [j3]Razieh Nabi, Joel Pfeiffer, Denis Charles, Emre Kiciman:
Causal Inference in the Presence of Interference in Sponsored Search Advertising. Frontiers Big Data 5 (2022) - [j2]Rohit Bhattacharya, Razieh Nabi, Ilya Shpitser:
Semiparametric Inference For Causal Effects In Graphical Models With Hidden Variables. J. Mach. Learn. Res. 23: 295:1-295:76 (2022) - [c9]Yue Yu, Xuan Kan, Hejie Cui, Ran Xu, Yujia Zheng, Xiangchen Song, Yanqiao Zhu, Kun Zhang, Razieh Nabi, Ying Guo, Chao Zhang, Carl Yang:
Learning Task-Aware Effective Brain Connectivity for fMRI Analysis with Graph Neural Networks (Extended Abstract). IEEE Big Data 2022: 4995-4996 - [c8]Razieh Nabi, Daniel Malinsky, Ilya Shpitser:
Optimal Training of Fair Predictive Models. CLeaR 2022: 594-617 - [c7]Rohit Bhattacharya, Razieh Nabi:
On testability of the front-door model via Verma constraints. UAI 2022: 202-212 - [c6]Razieh Nabi, Todd McNutt, Ilya Shpitser:
Semiparametric causal sufficient dimension reduction of multidimensional treatments. UAI 2022: 1445-1455 - [i12]Razieh Nabi, Rohit Bhattacharya:
On Testability and Goodness of Fit Tests in Missing Data Models. CoRR abs/2203.00132 (2022) - [i11]Rohit Bhattacharya, Razieh Nabi:
On Testability of the Front-Door Model via Verma Constraints. CoRR abs/2203.00161 (2022) - [i10]Razieh Nabi, Rohit Bhattacharya, Ilya Shpitser, James M. Robins:
Causal and counterfactual views of missing data models. CoRR abs/2210.05558 (2022) - [i9]Yue Yu, Xuan Kan, Hejie Cui, Ran Xu, Yujia Zheng, Xiangchen Song, Yanqiao Zhu, Kun Zhang, Razieh Nabi, Ying Guo, Chao Zhang, Carl Yang:
Learning Task-Aware Effective Brain Connectivity for fMRI Analysis with Graph Neural Networks. CoRR abs/2211.00261 (2022) - 2020
- [c5]Razieh Nabi, Rohit Bhattacharya, Ilya Shpitser:
Full Law Identification in Graphical Models of Missing Data: Completeness Results. ICML 2020: 7153-7163 - [i8]Rohit Bhattacharya, Razieh Nabi, Ilya Shpitser:
Semiparametric Inference For Causal Effects In Graphical Models With Hidden Variables. CoRR abs/2003.12659 (2020) - [i7]Razieh Nabi, Rohit Bhattacharya, Ilya Shpitser:
Full Law Identification In Graphical Models Of Missing Data: Completeness Results. CoRR abs/2004.04872 (2020) - [i6]Numair Sani, Jaron J. R. Lee, Razieh Nabi, Ilya Shpitser:
A Semiparametric Approach to Interpretable Machine Learning. CoRR abs/2006.04732 (2020) - [i5]Razieh Nabi, Joel Pfeiffer, Murat Ali Bayir, Denis Charles, Emre Kiciman:
Causal Inference in the Presence of Interference in Sponsored Search Advertising. CoRR abs/2010.07458 (2020)
2010 – 2019
- 2019
- [c4]Razieh Nabi, Daniel Malinsky, Ilya Shpitser:
Learning Optimal Fair Policies. ICML 2019: 4674-4682 - [c3]Rohit Bhattacharya, Razieh Nabi, Ilya Shpitser, James M. Robins:
Identification In Missing Data Models Represented By Directed Acyclic Graphs. UAI 2019: 1149-1158 - [i4]Rohit Bhattacharya, Razieh Nabi, Ilya Shpitser, James M. Robins:
Identification In Missing Data Models Represented By Directed Acyclic Graphs. CoRR abs/1907.00241 (2019) - [i3]Razieh Nabi, Daniel Malinsky, Ilya Shpitser:
Optimal Training of Fair Predictive Models. CoRR abs/1910.04109 (2019) - 2018
- [c2]Razieh Nabi, Ilya Shpitser:
Fair Inference on Outcomes. AAAI 2018: 1931-1940 - [c1]Razieh Nabi, Phyllis Kanki, Ilya Shpitser:
Estimation of Personalized Effects Associated With Causal Pathways. UAI 2018: 673-682 - [i2]Razieh Nabi, Daniel Malinsky, Ilya Shpitser:
Learning Optimal Fair Policies. CoRR abs/1809.02244 (2018) - [i1]Razieh Nabi, Phyllis Kanki, Ilya Shpitser:
Estimation of Personalized Effects Associated With Causal Pathways. CoRR abs/1809.10791 (2018) - 2017
- [j1]Razieh Nabi, Xiaogang Su:
coxphMIC: An R Package for Sparse Estimation of Cox Proportional Hazards Models via Approximated Information Criteria. R J. 9(1): 229 (2017)
Coauthor Index
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