Sequential Neural Posterior and Likelihood Approximation.
Samuel WiqvistJes FrellsenUmberto PicchiniPublished in: CoRR (2021)
Keyphrases
- posterior probability
- network architecture
- neural network
- maximum likelihood
- approximation algorithms
- approximation error
- learning algorithm
- likelihood function
- bayesian framework
- probabilistic model
- posterior distribution
- gaussian process
- control system
- bayesian networks
- artificial neural
- error bounds
- closed form
- probability distribution
- np hard
- learning rules
- likelihood ratio
- proposal distribution
- error tolerance