Numerical approximations for speeding up MCMC inference in the infinite relational model.
Mikkel N. SchmidtKristoffer Jon AlbersPublished in: EUSIPCO (2015)
Keyphrases
- markov chain monte carlo
- expectation propagation
- bayesian inference
- variational bayes
- monte carlo
- variational approximation
- gibbs sampling
- generative model
- exact computation
- inference process
- bayesian networks
- markov logic
- approximate inference
- parameter estimation
- markov chain
- posterior probability
- gaussian process
- dirichlet process
- sensitivity analysis
- particle filter
- gibbs sampler
- free energy
- weighted sums
- variational methods
- posterior distribution
- particle filtering
- probabilistic inference
- exact inference
- structured prediction
- numerical data
- message passing
- topic models
- graphical models