Bayes-Newton Methods for Approximate Bayesian Inference with PSD Guarantees.
William J. WilkinsonSimo SärkkäArno SolinPublished in: CoRR (2021)
Keyphrases
- bayesian inference
- expectation propagation
- probabilistic model
- prior information
- hyperparameters
- variational inference
- variational bayes
- bayesian model
- quality guarantees
- statistical inference
- gibbs sampler
- probabilistic modeling
- markov chain monte carlo
- hierarchical bayesian
- markov networks
- hidden variables
- decision trees
- bayesian models
- bayesian framework
- particle filter
- support vector