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Pragmatic DML with AI-Learned Representations

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2026-10-02，arXiv·Statistics Machine Learning 发表《Pragmatic DML with AI-Learned Representations》。研究探讨将文本、图像等富协变量压缩为 AI-learned representations 后用于因果分析的有效性，并提出实用框架。对于广泛估计量，不完美表示通过结果回归与平衡权重两处误差的乘积扭曲目标因果参数。

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LatestOct 2
arXiv 发表该论文，提出实用框架并分析表示误差对因果参数的影响机制。

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Oct 2, 2026
  1. arXiv · Statistics Machine Learning
    Pragmatic DML with AI-Learned Representations

    本文研究将文本、图像等富协变量压缩为 AI-learned representations 后用于因果分析的有效性，提出实用框架。对于广泛估计量，不完美表示通过结果回归与平衡权重两处误差的乘积扭曲目标因果参数。

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