2023
Multi-Fidelity Covariance Estimation in the Log-Euclidean Geometry
ICML 2023poster
We introduce a multi-fidelity estimator of covariance matrices that employs the log-Euclidean geometry of the symmetric positive-definite manifold. The estimator fuses samples from a hierarchy of data sources of differing fidelities and costs for variance reduction while guaranteeing definiteness, i…