Bhattacharya, Rohit

13 publications

CLeaR 2025 Network Causal Effect Estimation in Graphical Models of Contagion and Latent Confounding Yufeng Wu, Rohit Bhattacharya

NeurIPS 2024 Proximal Causal Inference with Text Data Jacob M. Chen, Rohit Bhattacharya, Katherine A. Keith

UAI 2024 Statistical and Causal Robustness for Causal Null Hypothesis Tests Junhui Yang, Rohit Bhattacharya, Youjin Lee, Ted Westling

UAI 2023 Causal Inference with Outcome-Dependent Missingness and Self-Censoring Jacob M. Chen, Daniel Malinsky, Rohit Bhattacharya

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

TMLR 2023 RCT Rejection Sampling for Causal Estimation Evaluation Katherine A. Keith, Sergey Feldman, David Jurgens, Jonathan Bragg, Rohit Bhattacharya

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

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

AISTATS 2021 Differentiable Causal Discovery Under Unmeasured Confounding Rohit Bhattacharya, Tushar Nagarajan, Daniel Malinsky, Ilya Shpitser

UAI 2021 Path Dependent Structural Equation Models Ranjani Srinivasan, Jaron J. R. Lee, Rohit Bhattacharya, Ilya Shpitser

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

UAI 2019 Causal Inference Under Interference and Network Uncertainty Rohit Bhattacharya, Daniel Malinsky, Ilya Shpitser

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