-Norm and Its Bayesian Variational Inference.
Xiangjie HuYanfeng SunJunbin GaoYongli HuFujiao JuBaocai YinPublished in: IEEE Trans. Cybern. (2022)
Keyphrases
- variational inference
- bayesian inference
- posterior distribution
- probabilistic model
- probabilistic graphical models
- mixture model
- topic models
- gaussian process
- latent dirichlet allocation
- variational methods
- closed form
- posterior probability
- exponential family
- latent variables
- hyperparameters
- exact inference
- prior information
- graphical models
- maximum likelihood
- approximate inference
- markov networks
- bayesian framework
- generative model
- density estimation
- markov chain monte carlo
- multiscale
- semi supervised
- least squares
- log likelihood
- hidden variables
- conditional random fields
- maximum a posteriori
- image sequences