Posterior-Aided Regularization for Likelihood-Free Inference.
Dongjun KimKyungwoo SongSeungjae ShinWanmo KangIl-Chul MoonPublished in: CoRR (2021)
Keyphrases
- posterior probability
- bayesian networks
- markov chain monte carlo
- probability distribution
- boltzmann distribution
- probabilistic inference
- maximum likelihood
- posterior distribution
- bayesian model
- bayesian inference
- markov chain monte carlo methods
- marginal probabilities
- regularization parameter
- inference engine
- prior information
- least squares
- regularization methods
- regularization method
- prior probabilities
- structured prediction
- markov chain
- belief networks
- regularization term
- bayesian framework
- probability density function
- conditional probabilities
- message passing