1 citations · 1 across the 2 of their papers we have counts for
2 papers
stat.CO2021★ 1 cited
Kernel-Matrix Determinant Estimates from stopped Cholesky Decomposition
Simon Bartels, Wouter Boomsma, Jes Frellsen +1
Algorithms involving Gaussian processes or determinantal point processes typically require computing the determinant of a kernel matrix. Frequently, the latter is computed from the…
cs.LG2019
Conjugate Gradients for Kernel Machines
Simon Bartels, Philipp Hennig
Regularized least-squares (kernel-ridge / Gaussian process) regression is a fundamental algorithm of statistics and machine learning. Because generic algorithms for the exact solut…