Bayes-Newton Methods for Approximate Bayesian Inference with PSD Guarantees.
William J. WilkinsonSimo SärkkäArno SolinPublished in: J. Mach. Learn. Res. (2023)
Keyphrases
- bayesian inference
- expectation propagation
- prior information
- probabilistic model
- bayesian model
- hyperparameters
- variational inference
- variational bayes
- hidden variables
- statistical inference
- markov networks
- hierarchical bayesian
- gibbs sampler
- quality guarantees
- markov chain monte carlo
- support vector machine
- prior distribution
- generative model
- particle filter
- reinforcement learning
- decision trees