Introduces PUID to estimate personalized sensitivity bounds for robust recommendations under hidden confounding in MNAR settings, outperforming global methods on three datasets.
Addressing correlated latent exogenous variables in debiased recommender systems,
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Robust Personalized Recommendation under Hidden Confounding in MNAR
Introduces PUID to estimate personalized sensitivity bounds for robust recommendations under hidden confounding in MNAR settings, outperforming global methods on three datasets.