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In the previous chapter, we saw how learning balanced representations can help overcome the challenges of selection bias in causal inference [1]. CFRNet [2] achieved this by minimizing the distributional distance between treated and control groups in the latent space.

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Propensity Scores in Causal Deep Learning

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  • 发表日期：

    2025年

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  • Durai Rajamanickam

摘要

In the previous chapter, we saw how learning balanced representations can help overcome the challenges of selection bias in causal inference [1]. CFRNet [2] achieved this by minimizing the distributional distance between treated and control groups in the latent space.