Efficient Exact Gaussian Process Inference via Incremental Block-Matrix Identity Updates.
An algorithmic variant of GPFA that shares computations across trials of different lengths by leveraging block-matrix identities to incrementally reuse inverses and determinants from smaller GP kernel matrices to accelerate computations on larger ones without sacrificing numerical precision is introduced.