3 papers
cs.LG2026
Graph Machine Learning based Doubly Robust Estimator for Network Causal Effects
Seyedeh Baharan Khatami, Harsh Parikh, Haowei Chen +2
We address the challenge of inferring causal effects in social network data. This results in challenges due to interference -- where a unit's outcome is affected by neighbors' trea…
cs.LG2025
Scalable Out-of-distribution Robustness in the Presence of Unobserved Confounders
Parjanya Prashant, Seyedeh Baharan Khatami, Bruno Ribeiro +1
We consider the task of out-of-distribution (OOD) generalization, where the distribution shift is due to an unobserved confounder () affecting both the covariates () and the…
cs.IR2025
Towards Robust Offline Evaluation: A Causal and Information Theoretic Framework for Debiasing Ranking Systems
Seyedeh Baharan Khatami, Sayan Chakraborty, Ruomeng Xu +1
Evaluating retrieval-ranking systems is crucial for developing high-performing models. While online A/B testing is the gold standard, its high cost and risks to user experience req…