Gradient Estimation with Discrete Stein Operators

1 code implementation • 19 Feb 2022 • Jiaxin Shi, Yuhao Zhou, Jessica Hwang, Michalis K. Titsias, Lester Mackey

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.

Improving Subseasonal Forecasting in the Western U.S. with Machine Learning

2 code implementations • 19 Sep 2018 • Jessica Hwang, Paulo Orenstein, Judah Cohen, Karl Pfeiffer, Lester Mackey

We hope that both our dataset and our methods will help to advance the state of the art in subseasonal forecasting.

BIG-bench Machine Learning Model Selection +1