Can I Trust My Fairness Metric? Assessing Fairness with Unlabeled Data and Bayesian Inference.
Disi JiPadhraic SmythMark SteyversPublished in: NeurIPS (2020)
Keyphrases
- bayesian inference
- unlabeled data
- semi supervised learning
- labeled data
- semi supervised
- active learning
- probabilistic model
- co training
- supervised learning
- hyperparameters
- prior information
- text classification
- data points
- labeled examples
- training data
- training set
- semi supervised classification
- labeled and unlabeled data
- learning algorithm
- class labels
- prior knowledge
- number of labeled examples
- training examples
- domain adaptation
- labeled training data
- unsupervised learning
- transfer learning
- particle filter
- distance measure
- object recognition
- data sets