Improving the Asymptotic Performance of Markov Chain Monte-Carlo by Inserting Vortices.
Yi SunFaustino J. GomezJürgen SchmidhuberPublished in: NIPS (2010)
Keyphrases
- markov chain monte carlo
- markov chain
- bayesian inference
- parameter estimation
- posterior distribution
- generative model
- markov chain monte carlo sampling
- posterior probability
- particle filter
- approximate inference
- monte carlo
- particle filtering
- simulated annealing
- data association
- graphical models
- bayesian framework
- probabilistic inference
- conditional probabilities
- feature selection
- worst case
- optical flow
- reinforcement learning