Gradient Regularisation as Approximate Variational Inference.
Ali UnluLaurence AitchisonPublished in: CoRR (2020)
Keyphrases
- variational inference
- bayesian inference
- topic models
- mixture model
- gaussian process
- probabilistic graphical models
- variational methods
- posterior distribution
- probabilistic model
- model selection
- latent dirichlet allocation
- closed form
- exponential family
- exact inference
- approximate inference
- graphical models
- parameter estimation
- factor graphs
- bayesian framework
- latent variables
- machine learning
- level set
- density estimation
- energy functional
- belief propagation
- regression model
- log likelihood
- expectation maximization
- markov random field
- higher order
- support vector