Optimal Use of Preferences in Artificial Intelligence Algorithms
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Machine learning systems embed preferences either in training losses or through post-processing of calibrated predictions. Applying information design methods from Strack and Yang (2024), this paper provides decision-problem-agnostic conditions under which separationtraining preference-free and
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美国国家经济研究局创建时间:
2026-02-01



