[其他] ICML-Quantifying Ignorance in Individual-Level Causal-Effect Estimates unde ... [推广有奖]

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发表于 2025-7-27 16:14:35 |AI写论文

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Quantifying Ignorance in Individual-Level Causal-Effect Estimates under
            Hidden Confounding

            Andrew Jesson 1 Soren Mindermann 1 Yarin Gal 1 Uri Shalit 2

         Abstract             for discovering population-level causal effects of such treat-
We study the problem of learning conditional    ments. However, in many cases, RCTs are prohibitively
average treatment effects (CATE) from high-    expensive or unethical. For example, researchers canno ...