Laplace Approximation for Bayesian Tensor Network Kernel Machines

Albert Saiapin, Kim Batselier

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 model…