2. (Deep learning and CATE) Under conditional random assignment of a binary treatment D, recall that CATE(W) E(Y|D=1,W) - E(Y|D=0, W). Discuss how to estimate CATE(W) using neural networks. (Hint: Recall that the conditional expectation is the function that achieves the smallest mean squared distance from Y.)