Variational Inference for Bayesian Bridge Regression.
Carlos Tadeu Pagani ZaniniHelio dos Santos MigonRonaldo DiasPublished in: CoRR (2022)
Keyphrases
- variational inference
- bayesian inference
- posterior distribution
- gaussian process
- gaussian processes
- regression model
- hierarchical bayesian
- probabilistic graphical models
- topic models
- mixture model
- probabilistic model
- latent dirichlet allocation
- variational methods
- model selection
- closed form
- hyperparameters
- probability distribution
- bayesian framework
- latent variables
- factor graphs
- exponential family
- markov chain monte carlo
- dirichlet process
- posterior probability
- graphical models
- support vector
- hidden variables
- approximate inference
- parameter estimation
- density estimation
- maximum a posteriori
- markov networks
- particle filter
- semi supervised
- sample size
- prior information