Variational Inference with Mixture Model Approximation: Robotic Applications.
Emmanuel PignatTeguh Santoso LembonoSylvain CalinonPublished in: CoRR (2019)
Keyphrases
- mixture model
- variational inference
- probabilistic model
- gaussian mixture model
- bayesian nonparametric
- em algorithm
- generative model
- expectation maximization
- density estimation
- model selection
- exponential family
- closed form
- hierarchical dirichlet process
- bayesian inference
- language model
- unsupervised learning
- dirichlet process
- maximum likelihood
- probability density function
- latent dirichlet allocation
- variational methods
- gaussian process
- probabilistic graphical models
- topic models
- parameter estimation
- variational bayes
- message passing
- bayesian networks