Rohit Bhattacharya
13 papers · 2019–2026 · 6 venues · across top CS/AI venues
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Achievements
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(11)
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(5)
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(51)
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Research topics
Artificial Intelligence
(11)
Core AI
(11)
Machine Learning
(10)
Optimization & Theory
(7)
Knowledge & Reasoning
(6)
Reasoning
(6)
Mathematics & Optimization
(2)
Bayesian & Probabilistic
(2)
Mathematics
(2)
Healthcare & Medicine
(1)
Natural Language Processing
(1)
Application Areas
(1)
Clinical
(1)
Core Methods
(1)
Learning Types
(1)
Keywords
causal inference
(8)
graphical model
(5)
missing data
(4)
directed acyclic graph
(4)
causal discovery
(3)
confounding bia
(2)
goodness-of-fit test
(2)
structural equation model
(2)
unmeasured confounding
(2)
causal effect
(2)
hypothesis testing
(1)
target distribution
(1)
inverse probability weighting
(1)
influence function
(1)
asymptotic normality
(1)
model uncertainty
(1)
structure learning
(1)
likelihood ratio test
(1)
social network
(1)
hypothesis test
(1)
Papers
Robust Weighted Triangulation of Causal Effects Under Model Uncertainty
UAI 2026
Network Causal Effect Estimation In Graphical Models Of Contagion And Latent Confounding
CLeaR 2025
Proximal Causal Inference With Text Data
NeurIPS 2024
Statistical and Causal Robustness for Causal Null Hypothesis Tests
UAI 2024
Causal inference with outcome-dependent missingness and self-censoring
UAI 2023
On Testability and Goodness of Fit Tests in Missing Data Models
UAI 2023
On testability of the front-door model via Verma constraints
UAI 2022
Semiparametric Inference For Causal Effects In Graphical Models With Hidden Variables
JMLR 2022
Differentiable Causal Discovery Under Unmeasured Confounding
AISTATS 2021
Path dependent structural equation models
UAI 2021
Full Law Identification in Graphical Models of Missing Data: Completeness Results
ICML 2020
Causal Inference Under Interference And Network Uncertainty
UAI 2019
Identification In Missing Data Models Represented By Directed Acyclic Graphs
UAI 2019