Correcting Predictions for Approximate Bayesian Inference.
Tomasz KusmierczykJoseph SakayaArto KlamiPublished in: CoRR (2019)
Keyphrases
- bayesian inference
- expectation propagation
- probabilistic model
- prior information
- hyperparameters
- gibbs sampler
- variational inference
- variational bayes
- bayesian model
- statistical inference
- hierarchical bayesian
- markov networks
- prior distribution
- inference process
- probabilistic modeling
- particle filter
- data sets
- markov chain monte carlo
- weighted model counting
- hidden variables
- maximum likelihood