Reparameterization invariance in approximate Bayesian inference.
Hrittik RoyMarco MianiCarl Henrik EkPhilipp HennigMarvin PförtnerLukas TatzelSøren HaubergPublished in: CoRR (2024)
Keyphrases
- bayesian inference
- expectation propagation
- probabilistic model
- prior information
- statistical inference
- variational bayes
- variational inference
- hyperparameters
- markov networks
- gibbs sampler
- bayesian model
- weighted model counting
- hierarchical bayesian
- inference process
- prior distribution
- point sets
- particle filter
- mixture model
- text mining