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Found 4 papers, 1 papers with code
Coarse Personalization
In practice, firms choose which unique treatments to offer and which individuals to offer these treatments with the goal of maximizing profits: we call this the coarse personalization problem.
Deep Learning for Individual Heterogeneity: An Automatic Inference Framework
These functions are the key inputs into the finite-dimensional parameter of inferential interest.
The Identity Fragmentation Bias
Using a formal framework, we decompose the contributing factors of the estimation bias caused by data fragmentation and discuss the direction of bias.
Deep Neural Networks for Estimation and Inference
We establish novel rates of convergence for deep feedforward neural nets.
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