Automated Scalable Bayesian Inference via Hilbert Coresets.
Trevor CampbellTamara BroderickPublished in: J. Mach. Learn. Res. (2019)
Keyphrases
- bayesian inference
- probabilistic model
- prior information
- statistical inference
- hyperparameters
- bayesian model
- variational inference
- particle filter
- variational bayes
- inference process
- prior distribution
- markov networks
- gibbs sampler
- probabilistic modeling
- weighted model counting
- bayesian models
- expectation propagation
- hidden variables
- model selection
- data sets
- state space
- markov chain monte carlo
- variational approximation
- clifford algebra