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Nuisance Function Tuning and Sample Splitting for Optimally Estimating a Doubly Robust Functional
Estimators of doubly robust functionals typically rely on estimating two complex nuisance functions, such as the propensity score and conditional outcome mean for the average treatment effect functional. We consider the problem of how to estimate nuisance functions to obtain optimal rates of converg
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