Abstract: The Conditional Expectation Function (CEF) is an optimal estimator in real space. Artificial Neural Networks (ANN), as the current state-of-the-art method, lack interpretability. Estimating ...
Abstract: Consider the problem of estimating the expectation of a non linear function of a conditional expectation. This function is allowed to be non-differentiable and discontinuous at a finite set ...
This week sets the stage for the course and introduces how and why Machine Learning (ML) can be integrated into causal inference. Motivate the integration of statistical prediction with causal ...