Neural Operator Variational Inference based on Regularized Stein Discrepancy for Deep Gaussian Processes.
Jian XuShian DuJunmei YangQianli MaDelu ZengPublished in: CoRR (2023)
Keyphrases
- variational inference
- gaussian processes
- gaussian process
- hyperparameters
- bayesian inference
- model selection
- regression model
- approximate inference
- semi supervised
- least squares
- posterior distribution
- bayesian framework
- dirichlet process
- multi task learning
- latent variables
- topic models
- variational methods
- probabilistic model
- support vector
- closed form
- unsupervised learning
- generative model
- pairwise