Monotonic Alpha-divergence Minimisation for Variational Inference.
Kamélia DaudelRandal DoucFrançois RoueffPublished in: J. Mach. Learn. Res. (2023)
Keyphrases
- variational inference
- bayesian inference
- topic models
- probabilistic graphical models
- probabilistic model
- variational methods
- posterior distribution
- mixture model
- latent dirichlet allocation
- gaussian process
- closed form
- exact inference
- graphical models
- approximate inference
- factor graphs
- generative model
- kullback leibler
- hyperparameters
- prior information
- exponential family
- random variables
- latent variables
- expectation maximization
- parameter estimation
- unsupervised learning
- hidden variables
- markov networks
- optic flow
- least squares
- bayesian networks