Search Results for author:
Found 5 papers, 0 papers with code
Individual Fairness in Pipelines
It is well understood that a system built from individually fair components may not itself be individually fair.
Abstracting Fairness: Oracles, Metrics, and Interpretability
Our principal conceptual result is an extraction procedure that learns the underlying truth; moreover, the procedure can learn an approximation to this truth given access to a weak form of the oracle.
Multi-Category Fairness in Sponsored Search Auctions
Fairness in advertising is a topic of particular concern motivated by theoretical and empirical observations in both the computer science and economics literature.
Metric Learning for Individual Fairness
There has been much discussion recently about how fairness should be measured or enforced in classification.
Fairness Under Composition
Algorithmic fairness, and in particular the fairness of scoring and classification algorithms, has become a topic of increasing social concern and has recently witnessed an explosion of research in theoretical computer science, machine learning, statistics, the social sciences, and law.
