Robust scalable initialization for Bayesian variational inference with multi-modal Laplace approximations.
Wyatt BridgmanReese E. JonesMohammad KhalilPublished in: CoRR (2023)
Keyphrases
- multi modal
- variational inference
- bayesian inference
- variational methods
- posterior distribution
- closed form
- gaussian process
- topic models
- probabilistic model
- probabilistic graphical models
- mixture model
- latent dirichlet allocation
- exact inference
- image segmentation
- particle filter
- bayesian networks
- exponential family
- high dimensional
- probability distribution
- prior information
- latent variables
- maximum a posteriori
- parameter estimation
- level set
- expectation maximization
- maximum likelihood