R2: An Efficient MCMC Sampler for Probabilistic Programs.
Aditya V. NoriChung-Kil HurSriram K. RajamaniSelva SamuelPublished in: AAAI (2014)
Keyphrases
- markov chain monte carlo
- generative model
- markov chain
- monte carlo
- posterior probability
- posterior distribution
- probabilistic model
- bayesian networks
- metropolis hastings algorithm
- parameter estimation
- probability distribution
- gibbs sampler
- gibbs sampling
- belief networks
- reversible jump markov chain monte carlo
- bayesian inference
- data association
- prior model
- importance sampling
- probabilistic logic
- genetic algorithm
- topic models
- dynamic programming
- probabilistic reasoning
- graphical models
- conditional probabilities