y <- (x-3)^3 + 3*x - .25*(x^2 * (x-3)) + rnorm(n=10000, mean=0, sd=3) dat <- data.frame(x = x, y = y) One of our most fundamental goals as data scientists is to ...

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 ...

In equation 12, you argue that you can calculate the conditional expectation term by simply calculating the function value using the actual instance values of the features in set S, and the expected ...