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