Adaptive quadrature schemes for Bayesian inference via active learning.
Fernando LlorenteLuca MartinoVíctor ElviraDavid DelgadoJavier López-SantiagoPublished in: CoRR (2020)
Keyphrases
- bayesian inference
- active learning
- probabilistic model
- hyperparameters
- prior information
- bayesian model
- statistical inference
- hierarchical bayesian
- markov chain monte carlo
- gibbs sampler
- variational inference
- particle filter
- variational bayes
- weighted model counting
- training set
- variational approximation
- semi supervised
- learning process