Rohit Bhattacharya

According to our database, Rohit Bhattacharya authored at least 15 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Proximal Causal Inference With Text Data.

Jacob M. Chen, Rohit Bhattacharya, Katherine A. Keith

CoRR, 2024

2023

Searching for explanations: testing social scientific methods in synthetic ground-truthed worlds.

Aurora C. Schmidt, Christopher J. Cameron, Corey Lowman, Joshua Brulé, Amruta Deshpande, Seyyed A. Fatemi, Vladimir Barash, Ariel M. Greenberg, Cash J. Costello, Eli Sherman, Rohit Bhattacharya, Liz McQuillan, Alexander Perrone, Yanni Kouskoulas, Clay Fink, June Zhang, Ilya Shpitser, Michael W. Macy

Comput. Math. Organ. Theory, March, 2023

RCT Rejection Sampling for Causal Estimation Evaluation.

Katherine A. Keith, Sergey Feldman, David Jurgens, Jonathan Bragg, Rohit Bhattacharya

Trans. Mach. Learn. Res., 2023

Ananke: A Python Package For Causal Inference Using Graphical Models.

Jaron J. R. Lee, Rohit Bhattacharya, Razieh Nabi, Ilya Shpitser

CoRR, 2023

On Testability and Goodness of Fit Tests in Missing Data Models.

Razieh Nabi, Rohit Bhattacharya

Proceedings of the Uncertainty in Artificial Intelligence, 2023

Causal inference with outcome-dependent missingness and self-censoring.

Jacob M. Chen, Daniel Malinsky, Rohit Bhattacharya

Proceedings of the Uncertainty in Artificial Intelligence, 2023

2022

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

Rohit Bhattacharya, Razieh Nabi, Ilya Shpitser

J. Mach. Learn. Res., 2022

Causal and counterfactual views of missing data models.

Razieh Nabi, Rohit Bhattacharya, Ilya Shpitser, James M. Robins

CoRR, 2022

On testability of the front-door model via Verma constraints.

Rohit Bhattacharya, Razieh Nabi

Proceedings of the Uncertainty in Artificial Intelligence, 2022

2021

Path dependent structural equation models.

Ranjani Srinivasan, Jaron J. R. Lee, Rohit Bhattacharya, Ilya Shpitser

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

AuthSHAP: authentication vulnerability detection on tabular data in black box setting.

Debasmita Das, Yatin Katyal, Ram Ganesh, Rohit Bhattacharya, Rajesh Kumar Ranjan

Proceedings of the ICAIF'21: 2nd ACM International Conference on AI in Finance, Virtual Event, November 3, 2021

Differentiable Causal Discovery Under Unmeasured Confounding.

Rohit Bhattacharya, Tushar Nagarajan, Daniel Malinsky, Ilya Shpitser

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

Full Law Identification in Graphical Models of Missing Data: Completeness Results.

Razieh Nabi, Rohit Bhattacharya, Ilya Shpitser

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Identification In Missing Data Models Represented By Directed Acyclic Graphs.

Rohit Bhattacharya, Razieh Nabi, Ilya Shpitser, James M. Robins

Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019

Causal Inference Under Interference And Network Uncertainty.

Rohit Bhattacharya, Daniel Malinsky, Ilya Shpitser

Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019