The computational asymptotics of Gaussian variational inference and the Laplace approximation.
Zuheng XuTrevor CampbellPublished in: Stat. Comput. (2022)
Keyphrases
- variational inference
- bayesian inference
- closed form
- probabilistic graphical models
- posterior distribution
- mixture model
- latent dirichlet allocation
- variational methods
- topic models
- gaussian process
- probabilistic model
- markov chain
- gaussian mixture model
- approximation algorithms
- maximum likelihood
- expectation maximization
- bayesian networks