Transformers Can Do Bayesian Inference.
Samuel MüllerNoah HollmannSebastian Pineda-ArangoJosif GrabockaFrank HutterPublished in: ICLR (2022)
Keyphrases
- bayesian inference
- probabilistic model
- prior information
- hyperparameters
- variational inference
- bayesian model
- hierarchical bayesian
- statistical inference
- markov chain monte carlo
- hidden variables
- variational bayes
- probabilistic modeling
- particle filter
- data sets
- expectation propagation
- gibbs sampler
- weighted model counting
- inference process
- markov networks
- prior distribution
- generative model
- graph cuts
- graphical models
- search algorithm