Causal ML (Causal Machine Learning)
Causal ML relaxes the shape of the model, not the assumptions that make a comparison causal. Those stay exactly as strong as before.
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Uplift Models
Uplift models estimate conditional treatment effects. Targeting also needs outcome values, action costs, constraints, and uncertainty.