Variational Inference of Dirichlet Process Mixture using Stochastic Gradient Ascent.
Kart-Leong LimPublished in: ICPRAM (2020)
Keyphrases
- variational inference
- hierarchical bayesian
- exponential family
- bayesian inference
- mixture model
- topic models
- probabilistic graphical models
- posterior distribution
- variational methods
- latent dirichlet allocation
- gaussian process
- closed form
- probabilistic model
- maximum likelihood
- statistical models
- density estimation
- approximate inference
- exact inference
- log likelihood
- graphical models
- expectation maximization
- latent variables
- monte carlo
- markov chain monte carlo
- higher order
- probability distribution
- bayesian networks
- hidden variables
- hyperparameters
- markov networks
- em algorithm
- probabilistic inference
- co occurrence
- factor graphs