Knowledge Removal in Sampling-based Bayesian Inference.
Shaopeng FuFengxiang HeDacheng TaoPublished in: ICLR (2022)
Keyphrases
- bayesian inference
- probabilistic model
- prior information
- hyperparameters
- knowledge base
- prior knowledge
- markov chain monte carlo
- statistical inference
- bayesian model
- variational bayes
- hierarchical bayesian
- domain knowledge
- knowledge discovery
- feature selection
- gibbs sampler
- bayesian models
- knowledge management
- machine learning
- probabilistic modeling
- variational inference
- monte carlo
- image segmentation
- weighted model counting