Ian Delbridge — accepted AI-conference papers

2021

Kernel Interpolation for Scalable Online Gaussian Processes

Samuel Stanton, Wesley Maddox, Ian Delbridge, Andrew Gordon Wilson

AISTATS 2021poster

Gaussian processes (GPs) provide a gold standard for performance in online settings, such as sample-efficient control and black box optimization, where we need to update a posterior distribution as we acquire data in a sequential online setting. However, updating a GP posterior to accommodate even a…

Cited by 41 Source ↗PDF ↗code ↗Scholar ↗

2020

Randomly Projected Additive Gaussian Processes for Regression

Ian Delbridge, David Bindel, Andrew Gordon Wilson

ICML 2020poster

Gaussian processes (GPs) provide flexible distributions over functions, with inductive biases controlled by a kernel. However, in many applications Gaussian processes can struggle with even moderate input dimensionality. Learning a low dimensional projection can help alleviate this curse of dimensio…

Cited by 35 Source ↗PDF ↗code ↗Scholar ↗