Before revision:  We first estimate marginal effects and treatment propensities  to form an objective function that isolates the heterogeneous treatment effects, and then optimize the learned objective . This approach has several advantages over existing methods.
After revision:  We first estimate marginal effects and treatment propensities to form an objective function that isolates the causal component of the signal. Then, we optimize this data-adaptive objective function. Our approach has several advantages over existing methods.