Laplace Approximation for Bayesian Tensor Network Kernel Machines
arXiv:2604.26673v1 Announce Type: new
Abstract: Uncertainty estimation is essential for robust decision-making in the presence of ambiguous or out-of-distribution inputs. Gaussian Processes (GPs) are classical kernel-based models that offer principled…