Quantum Annealing for Variational Bayes Inference.
Issei SatoKenichi KuriharaShu TanakaHiroshi NakagawaSeiji MiyashitaPublished in: CoRR (2014)
Keyphrases
- variational bayes
- bayesian inference
- latent variables
- hyperparameters
- free energy
- gaussian mixture model
- bayesian learning
- posterior distribution
- latent dirichlet allocation
- exponential family
- simulated annealing
- expectation propagation
- expectation maximization
- probabilistic model
- log likelihood
- mixture model
- closed form
- random sampling
- support vector
- bayesian framework
- model selection
- probability distribution
- probability density function
- prior information
- belief propagation
- monte carlo
- parameter estimation
- maximum likelihood
- upper bound
- machine learning