Pathologies in priors and inference for Bayesian transformers.
Tristan CinquinAlexander ImmerMax HornVincent FortuinPublished in: CoRR (2021)
Keyphrases
- bayesian models
- bayesian inference
- bayesian networks
- belief nets
- bayesian model
- prior distribution
- bayesian approaches
- prior probabilities
- prior information
- bayesian framework
- posterior probability
- data driven
- posterior distribution
- dirichlet process
- probabilistic inference
- statistical inference
- variational inference
- grammatical inference
- bayesian model selection
- bayesian estimation
- decision theory
- computer assisted
- exact inference
- structured prediction
- markov chain monte carlo
- dynamic bayesian networks
- prior model
- multi task learning
- gaussian processes
- maximum entropy
- learned from training data
- mixture model
- generative model