Detecting Model Misspecification in Amortized Bayesian Inference with Neural Networks: An Extended Investigation.
Marvin SchmittPaul-Christian BürknerUllrich KötheStefan T. RadevPublished in: CoRR (2024)
Keyphrases
- bayesian inference
- neural network
- probabilistic model
- hyperparameters
- prior information
- variational inference
- bayesian model
- gibbs sampler
- variational bayes
- probabilistic modeling
- weighted model counting
- statistical inference
- back propagation
- search tree
- hidden variables
- neural network model
- closed form
- graphical models
- worst case
- bayesian models
- artificial neural networks
- data sets
- expectation propagation
- hierarchical bayesian
- support vector