Manifold Optimisation Assisted Gaussian Variational Approximation.
Bingxin ZhouJunbin GaoMinh-Ngoc TranRichard GerlachPublished in: CoRR (2019)
Keyphrases
- variational approximation
- em algorithm
- bayesian inference
- approximate inference
- exact inference
- latent variables
- maximum likelihood
- variational bayes
- variational inference
- kullback leibler
- gaussian mixture model
- gaussian mixture
- markov chain monte carlo
- graphical models
- high dimensional
- hyperparameters
- posterior distribution
- cluster ensemble
- levenberg marquardt
- expectation maximization
- low dimensional
- probabilistic graphical models
- gaussian distribution
- probabilistic inference
- topic models
- mixture model
- feature space
- gaussian process
- marginal distributions
- image segmentation
- parameter estimation
- probabilistic model
- bayesian networks