Concave Gaussian Variational Approximations for Inference in Large-Scale Bayesian Linear Models.
Edward ChallisDavid BarberPublished in: AISTATS (2011)
Keyphrases
- linear models
- expectation propagation
- variational approximation
- gaussian processes
- bayesian inference
- variational methods
- gaussian process
- bayesian networks
- variable selection
- maximum likelihood
- linear model
- approximate inference
- free energy
- latent variables
- posterior distribution
- linear regression
- probabilistic inference
- data mining
- hyperparameters
- regression model
- probabilistic model
- image segmentation
- prior information
- closed form
- level set
- probability distribution
- active appearance models
- optical flow
- nonlinear models
- feature selection
- machine learning