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Seyedeh Baharan Khatami

2 accepted papers

2025

Graph Machine Learning based Doubly Robust Estimator for Network Causal Effects

AISTATS 2025poster

Estimating causal effects in social network data presents unique challenges due to the presence of spillover effects and network-induced confounding. While much of the existing literature addresses causal inference in social networks, many methods rely on strong assumptions about the form of network…

Cited by 0SourceScholar
2025

Scalable Out-of-Distribution Robustness in the Presence of Unobserved Confounders

AISTATS 2025poster

We consider the task of out-of-distribution (OOD) generalization, where the distribution shift is due to an unobserved confounder ($Z$) affecting both the covariates ($X$) and the labels ($Y$). This confounding introduces heterogeneity in the predictor, i.e., $P(Y \mid X) = E_{P(Z \mid X)}[P(Y \mid…

Cited by 0SourceScholar