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Rohit Bhattacharya
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2020 – today
- 2024
- [i11]Jacob M. Chen, Rohit Bhattacharya, Katherine A. Keith:
Proximal Causal Inference With Text Data. CoRR abs/2401.06687 (2024) - 2023
- [j3]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): 156-187 (2023) - [j2]Katherine A. Keith, Sergey Feldman, David Jurgens, Jonathan Bragg, Rohit Bhattacharya:
RCT Rejection Sampling for Causal Estimation Evaluation. Trans. Mach. Learn. Res. 2023 (2023) - [c9]Jacob M. Chen, Daniel Malinsky, Rohit Bhattacharya:
Causal inference with outcome-dependent missingness and self-censoring. UAI 2023: 358-368 - [c8]Razieh Nabi, Rohit Bhattacharya:
On Testability and Goodness of Fit Tests in Missing Data Models. UAI 2023: 1467-1477 - [i10]Jaron J. R. Lee, Rohit Bhattacharya, Razieh Nabi, Ilya Shpitser:
Ananke: A Python Package For Causal Inference Using Graphical Models. CoRR abs/2301.11477 (2023) - [i9]Katherine A. Keith, Sergey Feldman, David Jurgens, Jonathan Bragg
, Rohit Bhattacharya:
RCT Rejection Sampling for Causal Estimation Evaluation. CoRR abs/2307.15176 (2023) - 2022
- [j1]Rohit Bhattacharya, Razieh Nabi, Ilya Shpitser:
Semiparametric Inference For Causal Effects In Graphical Models With Hidden Variables. J. Mach. Learn. Res. 23: 295:1-295:76 (2022) - [c7]Rohit Bhattacharya, Razieh Nabi:
On testability of the front-door model via Verma constraints. UAI 2022: 202-212 - [i8]Razieh Nabi, Rohit Bhattacharya:
On Testability and Goodness of Fit Tests in Missing Data Models. CoRR abs/2203.00132 (2022) - [i7]Rohit Bhattacharya, Razieh Nabi:
On Testability of the Front-Door Model via Verma Constraints. CoRR abs/2203.00161 (2022) - [i6]Razieh Nabi, Rohit Bhattacharya, Ilya Shpitser, James M. Robins:
Causal and counterfactual views of missing data models. CoRR abs/2210.05558 (2022) - 2021
- [c6]Rohit Bhattacharya, Tushar Nagarajan, Daniel Malinsky, Ilya Shpitser:
Differentiable Causal Discovery Under Unmeasured Confounding. AISTATS 2021: 2314-2322 - [c5]Debasmita Das, Yatin Katyal, Ram Ganesh, Rohit Bhattacharya, Rajesh Kumar Ranjan:
AuthSHAP: authentication vulnerability detection on tabular data in black box setting. ICAIF 2021: 52:1-52:8 - [c4]Ranjani Srinivasan, Jaron J. R. Lee, Rohit Bhattacharya, Ilya Shpitser:
Path dependent structural equation models. UAI 2021: 161-171 - 2020
- [c3]Razieh Nabi, Rohit Bhattacharya, Ilya Shpitser:
Full Law Identification in Graphical Models of Missing Data: Completeness Results. ICML 2020: 7153-7163 - [i5]Rohit Bhattacharya, Razieh Nabi, Ilya Shpitser:
Semiparametric Inference For Causal Effects In Graphical Models With Hidden Variables. CoRR abs/2003.12659 (2020) - [i4]Razieh Nabi, Rohit Bhattacharya, Ilya Shpitser:
Full Law Identification In Graphical Models Of Missing Data: Completeness Results. CoRR abs/2004.04872 (2020) - [i3]Rohit Bhattacharya, Tushar Nagarajan, Daniel Malinsky, Ilya Shpitser:
Differentiable Causal Discovery Under Unmeasured Confounding. CoRR abs/2010.06978 (2020)
2010 – 2019
- 2019
- [c2]Rohit Bhattacharya, Daniel Malinsky, Ilya Shpitser:
Causal Inference Under Interference And Network Uncertainty. UAI 2019: 1028-1038 - [c1]Rohit Bhattacharya, Razieh Nabi, Ilya Shpitser, James M. Robins:
Identification In Missing Data Models Represented By Directed Acyclic Graphs. UAI 2019: 1149-1158 - [i2]Rohit Bhattacharya, Daniel Malinsky, Ilya Shpitser:
Causal Inference Under Interference And Network Uncertainty. CoRR abs/1907.00221 (2019) - [i1]Rohit Bhattacharya, Razieh Nabi, Ilya Shpitser, James M. Robins:
Identification In Missing Data Models Represented By Directed Acyclic Graphs. CoRR abs/1907.00241 (2019)
Coauthor Index
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last updated on 2024-08-02 20:18 CEST by the dblp team
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