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cs.LG2025
Confounding is a Pervasive Problem in Real World Recommender Systems
Alexander Merkov, David Rohde, Alexandre Gilotte +1
Unobserved confounding arises when an unmeasured feature influences both the treatment and the outcome, leading to biased causal effect estimates. This issue undermines observation…
cs.LG2025
Offline Contextual Bandit with Counterfactual Sample Identification
Alexandre Gilotte, Otmane Sakhi, Imad Aouali +1
In production systems, contextual bandit approaches often rely on direct reward models that take both action and context as input. However, these models can suffer from confounding…