Zichen Zhang

Uncertainty-Aware Debiased Recommendation: A Bayesian Doubly Robust Perspective

Recommender systems are inherently plagued by selection bias arising from the Missing Not At Random (MNAR) nature of observed interactions. Doubly Robust (DR) learning, which integrates Inverse Propensity Scoring (IPS) and Error Imputation-Based (EIB) models, has emerged as a cornerstone for bias mitigation. However, t...