Dirichlet Process Mixtures of Generalized Linear Models.
Lauren HannahDavid M. BleiWarren B. PowellPublished in: AISTATS (2010)
Keyphrases
- markov chain
- generalized linear models
- dirichlet process
- mixture model
- markov chain monte carlo
- multi task learning
- monte carlo
- em algorithm
- expectation maximization
- probabilistic model
- sampling algorithm
- generative model
- model selection
- gaussian processes
- bayesian model
- unsupervised learning
- posterior distribution
- variational inference
- regression model
- language model
- bayesian framework
- latent topics
- logistic regression
- maximum likelihood
- bayesian inference
- probability density function
- machine learning
- topic models
- parameter estimation
- graphical models
- optical flow
- high dimensional