Fairness improvement for black-box classifiers with Gaussian process.
Dang NguyenSunil GuptaSantu RanaAlistair ShiltonSvetha VenkateshPublished in: Inf. Sci. (2021)
Keyphrases
- black box
- gaussian process
- kernel logistic regression
- gaussian processes
- hyperparameters
- regression model
- black boxes
- model selection
- bayesian framework
- gaussian process regression
- support vector
- white box
- latent variables
- gaussian process classification
- semi supervised
- approximate inference
- training set
- test cases
- test set
- expectation propagation
- covariance function
- sparse approximations
- training data
- decision trees
- integration testing
- learning algorithm
- gaussian process models
- training samples
- prior information
- closed form
- cross validation
- data sets
- white box testing