Variational Inference for Diffusion Processes.
Cédric ArchambeauManfred OpperYuan ShenDan CornfordJohn Shawe-TaylorPublished in: NIPS (2007)
Keyphrases
- diffusion processes
- variational inference
- bayesian inference
- topic models
- gaussian process
- diffusion process
- mixture model
- posterior distribution
- variational methods
- probabilistic model
- latent dirichlet allocation
- exponential family
- information diffusion
- partial differential equations
- denoising
- closed form
- anisotropic diffusion
- prior information
- total variation
- latent variables
- model selection
- density estimation
- approximate inference
- hyperparameters
- computer vision
- bayesian framework
- log likelihood
- image restoration
- graphical models
- image analysis