Fast Gaussian Process Estimation for Large-Scale In Situ Inference using Convolutional Neural Networks.
Divya BaneshNishant PandaAyan BiswasLuke Van RoekelDiane OyenNathan UrbanMichael GrosskopfJonathan David WolfeEarl LawrencePublished in: IEEE BigData (2021)
Keyphrases
- gaussian process
- convolutional neural networks
- covariance function
- gaussian processes
- expectation propagation
- variational inference
- gaussian process regression
- regression model
- hyperparameters
- bayesian framework
- model selection
- gaussian process classification
- bayesian inference
- approximate inference
- latent variables
- sparse approximations
- posterior distribution
- variational bayes
- gaussian process models
- probabilistic inference
- closed form
- parameter estimation
- semi supervised
- prior knowledge
- markov chain monte carlo
- decision trees