Tag: causal-machine-learning
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S-Learner Weaknesses: Causal Regularization and HTE Attenuation
When it comes to causal stuff in industry, a common pattern I observe is that people default to the S-learner. It’s the simplest of the meta-learners: one model, treatment as a feature, done. Given how powerful and convenient these methods are, this isn’t the most egregious mistake one can make. However, it’s important to understand…
Aaron Pickering 