Automatic Sampler Discovery via Probabilistic Programming and Approximate Bayesian Computation.
Yura N. PerovFrank D. WoodPublished in: AGI (2016)
Keyphrases
- bayesian networks
- posterior probability
- data driven
- markov chain monte carlo
- posterior distribution
- generative model
- probabilistic model
- sequential monte carlo
- exact computation
- markov chain
- knowledge discovery
- probabilistic logic
- programming language
- semi automatic
- efficient computation
- probability theory
- maximum likelihood
- context sensitive
- particle filter
- least squares
- conditional probabilities
- bayesian learning
- programming environment
- fully automatic
- gibbs sampler
- monte carlo
- neural network