Rohit Bhattacharya

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 23

Top Topics

Directed Acyclic Graph

Causal Inference

Kolmogorov Smirnov

Top Venues

Comput. Math. Organ. Theory

Publications

Jacob M. Chen, Rohit Bhattacharya, Katherine A. Keith
Proximal Causal Inference With Text Data. CoRR (2024)
Katherine A. Keith, Sergey Feldman, David Jurgens, Jonathan Bragg, Rohit Bhattacharya
RCT Rejection Sampling for Causal Estimation Evaluation. Trans. Mach. Learn. Res. 2023 (2023)
Katherine A. Keith, Sergey Feldman, David Jurgens, Jonathan Bragg, Rohit Bhattacharya
RCT Rejection Sampling for Causal Estimation Evaluation. CoRR (2023)
Jacob M. Chen, Daniel Malinsky, Rohit Bhattacharya
Causal inference with outcome-dependent missingness and self-censoring. 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)
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
Searching for explanations: testing social scientific methods in synthetic ground-truthed worlds. Comput. Math. Organ. Theory 29 (1) (2023)
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, 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)
Ranjani Srinivasan, Jaron J. R. Lee, Rohit Bhattacharya, Ilya Shpitser
Path dependent structural equation models. UAI (2021)
Rohit Bhattacharya, Tushar Nagarajan, Daniel Malinsky, Ilya Shpitser
Differentiable Causal Discovery Under Unmeasured Confounding. AISTATS (2021)
Debasmita Das, Yatin Katyal, Ram Ganesh, Rohit Bhattacharya, Rajesh Kumar Ranjan
AuthSHAP: authentication vulnerability detection on tabular data in black box setting. ICAIF (2021)
Razieh Nabi, Rohit Bhattacharya, Ilya Shpitser
Full Law Identification in Graphical Models of Missing Data: Completeness Results. ICML (2020)
Rohit Bhattacharya, Tushar Nagarajan, Daniel Malinsky, Ilya Shpitser
Differentiable Causal Discovery Under Unmeasured Confounding. CoRR (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)
Rohit Bhattacharya, Daniel Malinsky, Ilya Shpitser
Causal Inference Under Interference And Network Uncertainty. UAI (2019)
Rohit Bhattacharya, Daniel Malinsky, Ilya Shpitser
Causal Inference Under Interference And Network Uncertainty. CoRR (2019)
Rohit Bhattacharya, Razieh Nabi, Ilya Shpitser, James M. Robins
Identification In Missing Data Models Represented By Directed Acyclic Graphs. CoRR (2019)