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Artem Betlei

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#machine learning Preprint Aug 2026

Off-Policy Evaluation for Semantic ID Recommenders: Does the Model's Own Code Hierarchy Help?

This work asks a simple question: can the model's own SID tree serve as the action abstraction for that OPE, and explains how resolution depth is the operative knob and a conditional bias bound links the coarsening bias to the quantizer's worst-case reconstruction residual and the target-logging divergence.

Artem Betlei · 0 citations

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