Pseudo-Likelihood Inference.
Theo GrunerBoris BelousovFabio MuratoreDaniel PalenicekJan R. PetersPublished in: NeurIPS (2023)
Keyphrases
- pseudo likelihood
- random fields
- bayes nets
- probabilistic graphical models
- markov networks
- markov logic networks
- graphical models
- probabilistic inference
- markov chain monte carlo
- reasoning under uncertainty
- exact inference
- conditional random fields
- log likelihood
- bayesian networks
- markov blanket
- maximum likelihood
- first order logic
- maximum entropy
- markov random field
- bayesian inference
- non stationary
- posterior probability
- belief networks
- belief propagation
- model selection
- probabilistic model
- feature selection
- structured prediction
- parameter learning
- maximum margin
- probabilistic reasoning
- hidden variables
- logic programming
- artificial intelligence
- conditional probabilities