Approximate Bayesian Inference with Stein Functional Variational Gradient Descent.
Tobias PielokBernd BischlDavid RügamerPublished in: ICLR (2023)
Keyphrases
- bayesian inference
- mumford shah functional
- expectation propagation
- variational approximation
- probabilistic model
- prior information
- bayesian model
- hyperparameters
- hierarchical bayesian
- variational bayes
- variational inference
- evolution equation
- weighted model counting
- particle filter
- statistical inference
- image segmentation
- objective function
- gibbs sampler
- prior knowledge
- variational framework
- free energy
- hidden variables
- optical flow
- data sets
- variational methods
- level set method
- model selection
- level set
- euler lagrange equations