Adaptive Gaussian process surrogates for Bayesian inference.
Timur TakhtaganovJuliane MüllerPublished in: CoRR (2018)
Keyphrases
- bayesian inference
- gaussian process
- hyperparameters
- expectation propagation
- gaussian processes
- variational inference
- approximate inference
- probabilistic model
- prior information
- posterior distribution
- variational bayes
- gaussian process regression
- bayesian model
- regression model
- semi supervised
- bayesian methods
- bayesian framework
- model selection
- gaussian process models
- particle filter
- markov chain monte carlo
- density estimation
- machine learning
- cross validation
- random sampling
- em algorithm
- optimal solution