Generative causal explanations of black-box classifiers.
Matthew R. O'ShaughnessyGregory CanalMarissa ConnorChristopher RozellMark A. DavenportPublished in: NeurIPS (2020)
Keyphrases
- black box
- causal models
- black boxes
- training data
- white box
- decision trees
- support vector
- generative model
- discriminative classifiers
- causal relationships
- training set
- hybrid systems
- naive bayes
- test set
- databases
- state transition
- qualitative models
- bayesian network classifiers
- test cases
- machine learning algorithms
- training examples
- training samples
- integration testing
- data sets
- causal reasoning
- white box testing
- rule extraction
- directed acyclic graph
- development process
- class labels
- feature set
- open source
- bayesian networks