Particle-based Variational Inference with Preconditioned Functional Gradient Flow.
Hanze DongXi WangYong LinTong ZhangPublished in: CoRR (2022)
Keyphrases
- variational inference
- gradient flow
- bayesian inference
- variational methods
- curve evolution
- mumford shah functional
- topic models
- level set
- probabilistic graphical models
- active contours
- probabilistic model
- posterior distribution
- latent dirichlet allocation
- partial differential equations
- energy functional
- gaussian process
- closed form
- mixture model
- active contour model
- image segmentation
- exponential family
- evolution equation
- approximate inference
- level set method
- graphical models
- hyperparameters
- energy minimization
- cross validation
- object boundaries
- expectation maximization
- prior information
- probability distribution
- belief propagation