A Neural Network MCMC Sampler That Maximizes Proposal Entropy.
Zengyi LiYubei ChenFriedrich T. SommerPublished in: Entropy (2021)
Keyphrases
- markov chain monte carlo
- neural network
- markov chain
- monte carlo
- posterior distribution
- metropolis hastings
- reversible jump markov chain monte carlo
- parameter estimation
- generative model
- neural network model
- importance sampling
- sampling algorithm
- information theoretic
- bayesian inference
- particle filter
- mutual information
- feed forward
- gibbs sampling
- information theory
- pattern recognition
- genetic algorithm
- bp neural network
- particle filtering
- posterior probability
- fuzzy logic
- artificial neural networks
- gibbs sampler
- bayesian framework
- back propagation
- probability distribution
- recurrent neural networks
- neural nets