JACOB R. GARDNER

Geoff and I founded the GPyTorch project, which aims to implement Gaussian processes in a modular package with strong GPU acceleration. It is deeply embedded in the PyTorch ecosystem, and makes designing complicated models like deep kernel learning both easy to implement and highly efficient. It departs significantly from existing Gaussian process libraries, in that it makes use of modern numerical linear algebra techniques like linear conjugate gradients to perform the fundamental operations required for inference, rather than standard Cholesky based approaches.