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Papers
Exponential Family Graphical Models: Correlated Replicates and Unmeasured Confounders, with Applications to fMRI Data
JMLR 2025
Automating the Selection of Proxy Variables of Unmeasured Confounders
ICML 2024
Tight Partial Identification of Causal Effects with Marginal Distribution of Unmeasured Confounders
ICML 2024
Two-way Deconfounder for Off-policy Evaluation in Causal Reinforcement Learning
NeurIPS 2024
High-Dimensional Inference for Generalized Linear Models with Hidden Confounding
JMLR 2023
Instrumental Variable Regression with Confounder Balancing
ICML 2022
On testability of the front-door model via Verma constraints
UAI 2022