Rohit Bhattacharya

33 papers A* 2A 8Journal 19Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Robust Weighted Triangulation of Causal Effects Under Model Uncertainty. CoRR Rohit Bhattacharya, Ina Ocelli, Ted Westling
2025	—	`conf`	FLOSS: Federated Learning with Opt-Out and Straggler Support. PACMI@SOSP David J. Goetze, Dahlia J. Felten, Jeannie R. Albrecht, Rohit Bhattacharya
2025	J	`jnl`	FLOSS: Federated Learning with Opt-Out and Straggler Support. CoRR David J. Goetze, Dahlia J. Felten, Jeannie R. Albrecht, Rohit Bhattacharya
2025	—	`conf`	Network Causal Effect Estimation In Graphical Models Of Contagion And Latent Confounding. CLeaR Yufeng Wu, Rohit Bhattacharya
2025	J	`jnl`	Recursive Equations For Imputation Of Missing Not At Random Data With Sparse Pattern Support. CoRR Trung Phung, Kyle Reese, Ilya Shpitser, Rohit Bhattacharya
2025	J	`jnl`	Response to Discussions of "Causal and Counterfactual Views of Missing Data Models". CoRR Razieh Nabi, Rohit Bhattacharya, Ilya Shpitser, James M. Robins
2024	—	`conf`	Fair Latent Representation Learning with Adaptive Reweighing. ICPR (29) Puspita Majumdar, Raghav Sharma, Rohit Bhattacharya, Balraj Prajesh
2024	J	`jnl`	Network Causal Effect Estimation In Graphical Models Of Contagion And Latent Confounding. CoRR Yufeng Wu, Rohit Bhattacharya
2024	A*	`conf`	Proximal Causal Inference With Text Data. NeurIPS Jacob M. Chen, Rohit Bhattacharya, Katherine A. Keith
2024	J	`jnl`	Proximal Causal Inference With Text Data. CoRR Jacob M. Chen, Rohit Bhattacharya, Katherine A. Keith
2024	A	`conf`	Statistical and Causal Robustness for Causal Null Hypothesis Tests. UAI Junhui Yang, Rohit Bhattacharya, Youjin Lee, Ted Westling
2023	J	`jnl`	Ananke: A Python Package For Causal Inference Using Graphical Models. CoRR Jaron J. R. Lee, Rohit Bhattacharya, Razieh Nabi, Ilya Shpitser
2023	A	`conf`	Causal inference with outcome-dependent missingness and self-censoring. UAI Jacob M. Chen, Daniel Malinsky, Rohit Bhattacharya
2023	A	`conf`	On Testability and Goodness of Fit Tests in Missing Data Models. UAI Razieh Nabi, Rohit Bhattacharya
2023	J	`jnl`	RCT Rejection Sampling for Causal Estimation Evaluation. CoRR Katherine A. Keith, Sergey Feldman, David Jurgens, Jonathan Bragg, Rohit Bhattacharya
2023	J	`jnl`	RCT Rejection Sampling for Causal Estimation Evaluation. Trans. Mach. Learn. Res. Katherine A. Keith, Sergey Feldman, David Jurgens, Jonathan Bragg, Rohit Bhattacharya
2023	J	`jnl`	Searching for explanations: testing social scientific methods in synthetic ground-truthed worlds. Comput. Math. Organ. Theory 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
2022	J	`jnl`	Causal and counterfactual views of missing data models. CoRR Razieh Nabi, Rohit Bhattacharya, Ilya Shpitser, James M. Robins
2022	J	`jnl`	On Testability and Goodness of Fit Tests in Missing Data Models. CoRR Razieh Nabi, Rohit Bhattacharya
2022	J	`jnl`	On Testability of the Front-Door Model via Verma Constraints. CoRR Rohit Bhattacharya, Razieh Nabi
2022	A	`conf`	On testability of the front-door model via Verma constraints. UAI Rohit Bhattacharya, Razieh Nabi
2022	J	`jnl`	Semiparametric Inference For Causal Effects In Graphical Models With Hidden Variables. J. Mach. Learn. Res. Rohit Bhattacharya, Razieh Nabi, Ilya Shpitser
2021	—	`conf`	AuthSHAP: authentication vulnerability detection on tabular data in black box setting. ICAIF Debasmita Das, Yatin Katyal, Ram Ganesh, Rohit Bhattacharya, Rajesh Kumar Ranjan
2021	A	`conf`	Differentiable Causal Discovery Under Unmeasured Confounding. AISTATS Rohit Bhattacharya, Tushar Nagarajan, Daniel Malinsky, Ilya Shpitser
2021	A	`conf`	Path dependent structural equation models. UAI Ranjani Srinivasan, Jaron J. R. Lee, Rohit Bhattacharya, Ilya Shpitser
2020	J	`jnl`	Differentiable Causal Discovery Under Unmeasured Confounding. CoRR Rohit Bhattacharya, Tushar Nagarajan, Daniel Malinsky, Ilya Shpitser
2020	J	`jnl`	Full Law Identification In Graphical Models Of Missing Data: Completeness Results. CoRR Razieh Nabi, Rohit Bhattacharya, Ilya Shpitser
2020	A*	`conf`	Full Law Identification in Graphical Models of Missing Data: Completeness Results. ICML Razieh Nabi, Rohit Bhattacharya, Ilya Shpitser
2020	J	`jnl`	Semiparametric Inference For Causal Effects In Graphical Models With Hidden Variables. CoRR Rohit Bhattacharya, Razieh Nabi, Ilya Shpitser
2019	A	`conf`	Causal Inference Under Interference And Network Uncertainty. UAI Rohit Bhattacharya, Daniel Malinsky, Ilya Shpitser
2019	J	`jnl`	Causal Inference Under Interference And Network Uncertainty. CoRR Rohit Bhattacharya, Daniel Malinsky, Ilya Shpitser
2019	A	`conf`	Identification In Missing Data Models Represented By Directed Acyclic Graphs. UAI Rohit Bhattacharya, Razieh Nabi, Ilya Shpitser, James M. Robins
2019	J	`jnl`	Identification In Missing Data Models Represented By Directed Acyclic Graphs. CoRR Rohit Bhattacharya, Razieh Nabi, Ilya Shpitser, James M. Robins