Sampling-based Bayesian Inference with gradient uncertainty.
Chanwoo ParkJae-Myung KimSeok Hyeon HaJungwoo LeePublished in: CoRR (2018)
Keyphrases
- bayesian inference
- markov chain monte carlo
- probabilistic model
- inference process
- prior information
- hierarchical bayesian
- variational inference
- hyperparameters
- bayesian model
- hidden variables
- monte carlo
- weighted model counting
- gibbs sampler
- variational bayes
- statistical inference
- particle filter
- image gradient
- conditional probabilities
- learning algorithm
- machine learning
- data sets
- message passing
- maximum likelihood
- dynamic programming
- prior distribution
- bayesian networks
- training data
- image segmentation
- expectation propagation