Using Noise to Speed up Markov Chain Monte Carlo Estimation.
Brandon FranzkeBart KoskoPublished in: INNS Conference on Big Data (2015)
Keyphrases
- markov chain monte carlo
- parameter estimation
- importance sampling
- markov chain
- generative model
- monte carlo
- posterior distribution
- posterior probability
- markov chain monte carlo sampling
- approximate inference
- least squares
- bayesian inference
- noise level
- signal to noise ratio
- reinforcement learning
- particle filter
- markov random field
- noise reduction
- bayesian framework
- hyperparameters
- kalman filter
- gaussian process
- probability distribution
- evolutionary algorithm