Anthony Stephenson

Leveraging Locality and Robustness to Achieve Massively Scalable Gaussian Process Regression

The accurate predictions and principled uncertainty measures provided by GP regression incur $O(n^3)$ cost which is prohibitive for modern-day large-scale applications. This has motivated extensive work on computationally efficient approximations. We introduce a new perspective by exploring robustne…