Particle-based Variational Inference with Preconditioned Functional Gradient Flow.
Hanze DongXi WangYong LinTong ZhangPublished in: ICLR (2023)
Keyphrases
- variational inference
- gradient flow
- bayesian inference
- variational methods
- mumford shah functional
- curve evolution
- posterior distribution
- probabilistic model
- level set
- topic models
- mixture model
- closed form
- active contours
- probabilistic graphical models
- gaussian process
- latent dirichlet allocation
- partial differential equations
- active contour model
- energy functional
- exponential family
- approximate inference
- bayesian framework
- image segmentation
- hyperparameters
- parameter estimation
- graphical models
- probability distribution
- evolution equation
- image processing
- prior information
- segmentation method
- higher order