Towards Improved Variational Inference for Deep Bayesian Models.
Sebastian W. OberPublished in: CoRR (2024)
Keyphrases
- bayesian models
- variational inference
- bayesian inference
- topic models
- variational methods
- probabilistic model
- probabilistic graphical models
- gaussian process
- mixture model
- latent dirichlet allocation
- posterior distribution
- bayesian model
- closed form
- exact inference
- exponential family
- factor graphs
- bayesian classifier
- graphical models
- probabilistic inference
- approximate inference
- prior information
- statistical models
- generative model
- optical flow
- optical flow estimation
- prior knowledge
- bayesian framework
- neural network model
- least squares