Junmei Yang

Neural Operator Variational Inference based on Regularized Stein Discrepancy for Deep Gaussian Processes

2023 · arXiv (Cornell University)

Deep Gaussian Process (DGP) models offer a powerful nonparametric approach for Bayesian inference, but exact inference is typically intractable, motivating the use of various approximations. However, existing approaches, such as mean-field Gaussian assumptions, limit the …