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stat.ML2024★ 2 cited
Combining T-learning and DR-learning: a framework for oracle-efficient estimation of causal contrasts
Lars van der Laan, Marco Carone, Alex Luedtke
We introduce efficient plug-in (EP) learning, a novel framework for the estimation of heterogeneous causal contrasts, such as the conditional average treatment effect and condition…
stat.ML2023
Causal isotonic calibration for heterogeneous treatment effects
Lars van der Laan, Ernesto Ulloa-Pérez, Marco Carone +1
We propose causal isotonic calibration, a novel nonparametric method for calibrating predictors of heterogeneous treatment effects. Furthermore, we introduce cross-calibration, a d…