Jakob Bossek

KernelMatmul: Scaling Gaussian Processes to Large Time Series

Time series forecasting requires reliable uncertainty estimates. Gaussian process regression provides a powerful framework for modelling this in a probabilistic fashion. However, its application to large time series is challenging, due to its cubic time complexity and quadratic memory requirement. I…