A Variational View on Bootstrap Ensembles as Bayesian Inference.
Dimitrios MiliosPietro MichiardiMaurizio FilipponePublished in: CoRR (2020)
Keyphrases
- bayesian inference
- variational approximation
- probabilistic model
- prior information
- hyperparameters
- variational inference
- statistical inference
- variational bayes
- bayesian model
- image segmentation
- decision trees
- ensemble methods
- particle filter
- probabilistic modeling
- optical flow
- bayesian models
- hierarchical bayesian
- markov chain monte carlo
- graphical models
- prior distribution
- expectation propagation
- gibbs sampler
- weighted model counting
- search space