2022
Gradient Estimation with Discrete Stein Operators
NeurIPS 2022accept
Gradient estimation---approximating the gradient of an expectation with respect to the parameters of a distribution---is central to the solution of many machine learning problems. However, when the distribution is discrete, most common gradient estimators suffer from excessive variance. To impro…