Doubly Robust Estimation: When Two Imperfect Models Still Get Causality Right
Most machine learning is optimised for prediction. Causal inference asks a harder question: what would have happened if we had acted differently? That difference — between predicting an outcome and estimating the effect of an intervention — is where doubly robust estimation earns its place. Doubly…
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- 2026-10-25 07:47 · DEV Community — Machine Learning
Doubly Robust Estimation: When Two Imperfect Models Still Get Causality Right