Generalized Variational Inference in Function Spaces: Gaussian Measures meet Bayesian Deep Learning.
Veit D. WildRobert HuDino SejdinovicPublished in: CoRR (2022)
Keyphrases
- deep learning
- variational inference
- bayesian inference
- posterior distribution
- topic models
- probabilistic model
- mixture model
- gaussian process
- maximum likelihood
- latent dirichlet allocation
- unsupervised learning
- closed form
- probabilistic graphical models
- probability distribution
- exponential family
- gaussian distribution
- machine learning
- variational methods
- prior information
- exact inference
- hyperparameters
- latent variables
- bayesian framework
- mental models
- posterior probability
- belief propagation
- gaussian mixture model
- parameter estimation
- graph cuts
- markov random field
- denoising
- learning algorithm