Fast maximum a-posteriori inference on Monte Carlo state spaces.
Mike KlaasDustin LangNando de FreitasPublished in: AISTATS (2005)
Keyphrases
- monte carlo
- maximum a posteriori
- markov chain
- state space
- markov random field
- map estimation
- image reconstruction
- map inference
- maximum likelihood
- quasi monte carlo
- markov chain monte carlo
- importance sampling
- particle filter
- monte carlo simulation
- expectation maximization
- prior model
- hyperparameters
- posterior distribution
- random fields
- bayesian framework
- bayesian inference
- em algorithm
- probabilistic inference
- bayesian networks
- generalized gaussian
- graphical models
- loopy belief propagation
- temporal difference
- markov decision processes
- monte carlo tree search
- matrix inversion
- game tree
- graph cuts
- parameter estimation
- higher order
- model parameters are estimated
- support vector
- search space
- variance reduction
- conditional random fields
- dynamic programming
- probabilistic model
- high quality