Correcting Predictions for Approximate Bayesian Inference.
Tomasz KusmierczykJoseph SakayaArto KlamiPublished in: AAAI (2020)
Keyphrases
- bayesian inference
- expectation propagation
- probabilistic model
- hyperparameters
- prior information
- bayesian model
- variational inference
- hierarchical bayesian
- hidden variables
- particle filter
- statistical inference
- markov networks
- gibbs sampler
- markov chain monte carlo
- prior distribution
- inference process
- probabilistic modeling
- gaussian process
- variational bayes
- bayesian models
- training data