Razieh Nabi

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 29

Top Topics

Models With Hidden Variables

Brain Connectivity

Top Venues

Publications

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 (2024)
Anna Guo, Jiwei Zhao, Razieh Nabi
Sufficient identification conditions and semiparametric estimation under missing not at random mechanisms. UAI (2023)
Jaron J. R. Lee, Rohit Bhattacharya, Razieh Nabi, Ilya Shpitser
Ananke: A Python Package For Causal Inference Using Graphical Models. CoRR (2023)
Razieh Nabi, Rohit Bhattacharya
On Testability and Goodness of Fit Tests in Missing Data Models. UAI (2023)
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)
Razieh Nabi, Daniel Malinsky, Ilya Shpitser
Optimal Training of Fair Predictive Models. CLeaR (2022)
Rohit Bhattacharya, Razieh Nabi
On testability of the front-door model via Verma constraints. UAI (2022)
Rohit Bhattacharya, Razieh Nabi, Ilya Shpitser
Semiparametric Inference For Causal Effects In Graphical Models With Hidden Variables. J. Mach. Learn. Res. 23 (2022)
Razieh Nabi, Todd McNutt, Ilya Shpitser
Semiparametric causal sufficient dimension reduction of multidimensional treatments. UAI (2022)
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). Big Data (2022)
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 (2022)
Razieh Nabi, Rohit Bhattacharya, Ilya Shpitser, James M. Robins
Causal and counterfactual views of missing data models. CoRR (2022)
Rohit Bhattacharya, Razieh Nabi
On Testability of the Front-Door Model via Verma Constraints. CoRR (2022)
Razieh Nabi, Rohit Bhattacharya
On Testability and Goodness of Fit Tests in Missing Data Models. CoRR (2022)
Razieh Nabi, Joel Pfeiffer, Denis Charles, Emre Kiciman
Causal Inference in the Presence of Interference in Sponsored Search Advertising. Frontiers Big Data 5 (2022)
Razieh Nabi, Joel Pfeiffer, Murat Ali Bayir, Denis Charles, Emre Kiciman
Causal Inference in the Presence of Interference in Sponsored Search Advertising. CoRR (2020)
Numair Sani, Jaron J. R. Lee, Razieh Nabi, Ilya Shpitser
A Semiparametric Approach to Interpretable Machine Learning. CoRR (2020)
Razieh Nabi, Rohit Bhattacharya, Ilya Shpitser
Full Law Identification in Graphical Models of Missing Data: Completeness Results. ICML (2020)
Rohit Bhattacharya, Razieh Nabi, Ilya Shpitser
Semiparametric Inference For Causal Effects In Graphical Models With Hidden Variables. CoRR (2020)
Razieh Nabi, Rohit Bhattacharya, Ilya Shpitser
Full Law Identification In Graphical Models Of Missing Data: Completeness Results. CoRR (2020)
Rohit Bhattacharya, Razieh Nabi, Ilya Shpitser, James M. Robins
Identification In Missing Data Models Represented By Directed Acyclic Graphs. UAI (2019)
Razieh Nabi, Daniel Malinsky, Ilya Shpitser
Learning Optimal Fair Policies. ICML (2019)
Razieh Nabi, Daniel Malinsky, Ilya Shpitser
Optimal Training of Fair Predictive Models. CoRR (2019)
Rohit Bhattacharya, Razieh Nabi, Ilya Shpitser, James M. Robins
Identification In Missing Data Models Represented By Directed Acyclic Graphs. CoRR (2019)
Razieh Nabi, Phyllis Kanki, Ilya Shpitser
Estimation of Personalized Effects Associated With Causal Pathways. CoRR (2018)
Razieh Nabi, Daniel Malinsky, Ilya Shpitser
Learning Optimal Fair Policies. CoRR (2018)
Razieh Nabi, Ilya Shpitser
Fair Inference on Outcomes. AAAI (2018)
Razieh Nabi, Phyllis Kanki, Ilya Shpitser
Estimation of Personalized Effects Associated With Causal Pathways. UAI (2018)
Razieh Nabi, Xiaogang Su
coxphMIC: An R Package for Sparse Estimation of Cox Proportional Hazards Models via Approximated Information Criteria. R J. 9 (1) (2017)