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Kosuke Iguchi

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#machine learning Preprint Aug 2026

Adaptive Doubly Robust Off-Policy Evaluation for Ranking Policies under Diverse User Behavior

Adaptive Doubly Robust (ADR) is proposed, which combines adaptive importance weighting with re- ward regression through a control-variate correction and establishes its unbiasedness when the true user behavior model is observed and characterize a sufficient condition under which it reduces vari- ance relative to AIPS.

Kosuke Iguchi, Ren Kishimoto · 0 citations