A multi-task neural network with monotonic cumulative-distribution outputs estimates distributional treatment effects faster and with lower variance than single-task regression adjustment.
Program evalu- ation and causal inference with high-dimensional data
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Efficient and Scalable Estimation of Distributional Treatment Effects with Multi-Task Neural Networks
A multi-task neural network with monotonic cumulative-distribution outputs estimates distributional treatment effects faster and with lower variance than single-task regression adjustment.