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Meta Learners are a machine learning approach to estimating the treatment effects in observational studies or experiments. They are particularly used in the field of causal inference, where the goal is to estimate the effect of a treatment, policy, or other intervention.
Furthermore, what makes meta-learners useful is measuring theĀ heterogenous treatment effect (HTE), which convey...