139 citations · 315 across the 36 of their papers we have counts for
3 papers · 1 filter
Provably Fair Representations
Daniel McNamara, Cheng Soon Ong, Robert C. Williamson
Machine learning systems are increasingly used to make decisions about people's lives, such as whether to give someone a loan or whether to interview someone for a job. This has le…
f-GANs in an Information Geometric Nutshell
Richard Nock, Zac Cranko, Aditya Krishna Menon +2
Nowozin \textit{et al} showed last year how to extend the GAN \textit{principle} to all -divergences. The approach is elegant but falls short of a full description of the superv…
The cost of fairness in classification
Aditya Krishna Menon, Robert C. Williamson
We study the problem of learning classifiers with a fairness constraint, with three main contributions towards the goal of quantifying the problem's inherent tradeoffs. First, we r…