Correlation-based sparse inverse Cholesky factorization for fast Gaussian-process inference

Myeongjong Kang, Matthias Katzfuss

Gaussian processes are widely used as priors for unknown functions in statistics and machine learning. To achieve computationally feasible inference for large datasets, a popular a…