Shufeng Zhang

Unified Minimax Optimization Framework for Propensity Score Estimation in Debiased Recommendation

Recommendation systems commonly face selection bias from missing-not-at-random (MNAR) collected data. To address this bias, propensity-based methods such as inverse propensity scoring (IPS) and doubly robust (DR) estimators are widely used. In addition, many methods extend the vanilla IPS and DR to