I am currently reading paper Auto-encoding Variational Bayes and I am not being able to understand the highlighted part in the screenshot below:
I am not understanding why there is f(z) and what is its significance. Also, why the gradient estimator exhibits high variance. It may be because I do not have knowledge on Monte Carlo gradient estimation. Can anyone please provide me some insight on this or provide me some helpful resources for understanding Monte Carlo Gradient Estimation?