Characterizing Bias in Classifiers using Generative Models.
Daniel J. McDuffShuang MaYale SongAshish KapoorPublished in: NeurIPS (2019)
Keyphrases
- generative model
- feature representations
- probabilistic model
- discriminative models
- discriminative learning
- mixture model
- em algorithm
- naive bayes models
- decision trees
- hierarchical models
- maximum entropy principle
- generative and discriminative models
- support vector
- prior knowledge
- conditional random fields
- hierarchical hidden markov models
- semi supervised
- naive bayes
- training data
- topic models
- semi supervised learning
- training set
- machine learning algorithms
- training samples
- representational power
- expectation maximization
- feature set
- class labels
- discriminative methods
- similarity measure
- feature selection