Tag: sbl

General Pruning Criteria for Fast SBL arXiv:2509.21572v1 Announce Type: new Abstract: Sparse Bayesian learning (SBL) associates to each weight in the underlying linear model a hyperparameter by assuming that each weight is Gaussian distributed with zero mean and precision (inverse variance) equal to its associated hyperparameter. The method estimates the hyperparameters by marginalizing out the…