Sensitivity-Aware Amortized Bayesian Inference.
Lasse ElsemüllerHans OlischlägerMarvin SchmittPaul-Christian BürknerUllrich KötheStefan T. RadevPublished in: CoRR (2023)
Keyphrases
- bayesian inference
- probabilistic model
- prior information
- hyperparameters
- bayesian model
- statistical inference
- variational inference
- worst case
- hierarchical bayesian
- gibbs sampler
- particle filter
- variational bayes
- hidden variables
- search tree
- text mining
- arbitrary length
- machine learning
- weighted model counting
- expectation propagation
- markov chain monte carlo
- latent variables
- decision trees