Optimal Use of Preferences in Artificial Intelligence Algorithms
收藏NBER2026-02-01 更新2026-02-07 收录
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https://www.nber.org/papers/w34780
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资源简介：
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
