Machine Learning, Causal Inference, Meta Learning, Instruments, Observational Studies.
The deep IV module learns the heterogenous causal effects by minimizing the “reduced-form” prediction error: where the hypothesis class g represents neural nets with a given architecture. This estimate is obtained by modeling F as a mixture of normal distributions, where the parameters of the