Projective Integral Updates for High-Dimensional Variational Inference.
Jed A. DuerschPublished in: SIAM/ASA J. Uncertain. Quantification (2024)
Keyphrases
- variational inference
- high dimensional
- bayesian inference
- probabilistic graphical models
- posterior distribution
- topic models
- latent dirichlet allocation
- probabilistic model
- variational methods
- gaussian process
- mixture model
- low dimensional
- exact inference
- closed form
- graphical models
- exponential family
- approximate inference
- high dimensional data
- dimensionality reduction
- factor graphs
- feature space
- probability distribution
- bayesian networks
- parameter space
- data points
- density estimation
- metric space
- bayesian framework
- markov networks
- generative model
- probabilistic inference
- prior information
- belief propagation
- parameter estimation
- em algorithm
- semi supervised
- machine learning