Neural Process for Black-box Model Optimization Under Bayesian Framework.
Zhongkai ShangguanLei LinWencheng WuBeilei XuPublished in: AAAI Spring Symposium: MLPS (2021)
Keyphrases
- bayesian framework
- black box
- generative model
- bayesian model
- prior knowledge
- posterior probability
- probabilistic model
- parameter estimation
- bayesian formulation
- optimization process
- em algorithm
- probability distribution
- high level
- image processing
- image reconstruction
- closed form
- probability density function
- similarity measure
- machine learning