Automated Scalable Bayesian Inference via Hilbert Coresets.
Trevor CampbellTamara BroderickPublished in: CoRR (2017)
Keyphrases
- bayesian inference
- probabilistic model
- prior information
- hyperparameters
- variational inference
- variational bayes
- statistical inference
- bayesian model
- weighted model counting
- inference process
- hidden variables
- gibbs sampler
- hierarchical bayesian
- markov chain monte carlo
- data sets
- probabilistic modeling
- markov networks