AI RESEARCH
Off-Policy Evaluation and Learning for Survival Outcomes under Censoring
arXiv CS.AI
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ArXi:2603.22900v1 Announce Type: cross Optimizing survival outcomes, such as patient survival or customer retention, is a critical objective in data-driven decision-making. Off-Policy Evaluation~(OPE) provides a powerful framework for assessing such decision-making policies using logged data alone, without the need for costly or risky online experiments in high-stakes applications.