Detecting Model Misspecification in Amortized Bayesian Inference with Neural Networks.
Marvin SchmittPaul-Christian BürknerUllrich KötheStefan T. RadevPublished in: DAGM (2023)
Keyphrases
- bayesian inference
- neural network
- probabilistic model
- prior information
- hyperparameters
- bayesian model
- variational bayes
- statistical inference
- worst case
- weighted model counting
- hierarchical bayesian
- gibbs sampler
- neural network model
- artificial neural networks
- bayesian models
- probabilistic modeling
- variational inference
- search tree
- expectation maximization
- posterior distribution
- particle filter
- competitive learning
- maximum likelihood
- upper bound
- support vector
- variational approximation
- image segmentation