Federated Bayesian Neural Regression: A Scalable Global Federated Gaussian Process.
Haolin YuKaiyang GuoMahdi KaramiXi ChenGuojun ZhangPascal PoupartPublished in: CoRR (2022)
Keyphrases
- gaussian process
- gaussian processes
- regression model
- gaussian process regression
- covariance function
- model selection
- approximate inference
- sparse approximations
- marginal likelihood
- bayesian framework
- semi supervised
- gaussian process classification
- gaussian process models
- expectation propagation
- hyperparameters
- bayesian methods
- latent variables
- fully bayesian
- bayesian inference
- data sets
- conditional distribution
- bayesian learning
- posterior distribution
- prior information
- non stationary
- graph cuts
- particle filter
- support vector
- image processing
- machine learning