Sparse Bayesian Inference with Regularized Gaussian Distributions

Jasper Marijn Everink, Yiqiu Dong, Martin Skovgaard Andersen

Regularization is a common tool in variational inverse problems to impose assumptions on the parameters of the problem. One such assumption is sparsity, which is commonly promoted…