Bias Correction of Learned Generative Models using Likelihood-Free Importance Weighting.
Aditya GroverJiaming SongAshish KapoorKenneth TranAlekh AgarwalEric HorvitzStefano ErmonPublished in: NeurIPS (2019)
Keyphrases
- generative model
- bias correction
- maximum entropy principle
- naive bayes models
- posterior probability
- semi supervised
- probabilistic model
- mixed membership
- mixture model
- discriminative methods
- bayesian networks
- prior knowledge
- discriminative models
- maximum likelihood
- em algorithm
- conditional random fields
- bayesian framework
- similarity measure
- object categories
- maximum entropy
- hidden variables
- discriminative learning
- expectation maximization
- higher order
- text mining
- intensity inhomogeneity
- bayesian network inference
- topic models
- naive bayes
- object parts
- support vector machine
- active learning
- learning process
- training data
- decision trees