The paper claims a new family of embedding-based off-policy estimators for ranking policies, but its central unbiasedness theorem is false under the stated assumptions.
However, selecting estimators using only logged data is challenging, as their biases are influenced by the true policy value
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Off-Policy Evaluation of Ranking Policies via Embedding-Space User Behavior Modeling
The paper claims a new family of embedding-based off-policy estimators for ranking policies, but its central unbiasedness theorem is false under the stated assumptions.