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cs.LG2023
Sample Path Regularity of Gaussian Processes from the Covariance Kernel
Nathaël Da Costa, Marvin Pförtner, Lancelot Da Costa +1
Gaussian processes (GPs) are the most common formalism for defining probability distributions over spaces of functions. While applications of GPs are myriad, a comprehensive unders…
math.DG2023★ 2 cited
Differential geometry with extreme eigenvalues in the positive semidefinite cone
Cyrus Mostajeran, Nathaël Da Costa, Graham Van Goffrier +1
Differential geometric approaches to the analysis and processing of data in the form of symmetric positive definite (SPD) matrices have had notable successful applications to numer…