Bias Correction of Learned Generative Models via Likelihood-free Importance Weighting.
Aditya GroverJiaming SongAshish KapoorKenneth TranAlekh AgarwalEric HorvitzStefano ErmonPublished in: DGS@ICLR (2019)
Keyphrases
- generative model
- bias correction
- maximum entropy principle
- naive bayes models
- posterior probability
- semi supervised
- discriminative methods
- probabilistic model
- bayesian framework
- mixed membership
- mixture model
- naive bayes
- bayesian networks
- em algorithm
- discriminative learning
- prior knowledge
- maximum likelihood
- maximum entropy
- conditional random fields
- discriminative models
- object categories
- root node
- intensity inhomogeneity
- semi supervised learning
- expectation maximization
- topic models
- bayesian network inference
- active learning
- latent dirichlet allocation