The Matrix-based Rényi’s entropy enables us to directly measure information quantities from given data without the costly probability density estimation of underlying distributions, thus has been widely adopted in numerous statistical learning and inference tasks. However, exactly calculating this new quantity requires access eigenspectrum a semi-positive definite (SPD) matrix <inline-formula x...