LA-TNKM applies a linearized Laplace approximation to tensor network kernel machines for Bayesian inference, matching or exceeding Gaussian processes and Bayesian neural networks on UCI regression tasks.
Yingzhen Li and Yarin Gal
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Laplace Approximation for Bayesian Tensor Network Kernel Machines
LA-TNKM applies a linearized Laplace approximation to tensor network kernel machines for Bayesian inference, matching or exceeding Gaussian processes and Bayesian neural networks on UCI regression tasks.