Variational Inference in high-dimensional linear regression.
Sumit MukherjeeSubhabrata SenPublished in: J. Mach. Learn. Res. (2022)
Keyphrases
- linear regression
- variational inference
- high dimensional
- bayesian inference
- least squares
- probabilistic model
- topic models
- posterior distribution
- variational methods
- latent dirichlet allocation
- probabilistic graphical models
- gaussian process
- mixture model
- closed form
- low dimensional
- exponential family
- dimensionality reduction
- graphical models
- approximate inference
- data points
- linear models
- dirichlet process
- latent variables
- prior information
- dimension reduction
- high dimensional data
- exact inference
- nearest neighbor
- parameter space
- input space
- em algorithm
- factor graphs
- density estimation
- text mining
- prior knowledge