41 citations · 69 across the 9 of their papers we have counts for
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cs.LG2022★ 3 cited
Counterfactual Fairness with Partially Known Causal Graph
Aoqi Zuo, Susan Wei, Tongliang Liu +3
Fair machine learning aims to avoid treating individuals or sub-populations unfavourably based on \textit{sensitive attributes}, such as gender and race. Those methods in fair mach…
cs.LG2020★ 8 cited
Deep Learning is Singular, and That's Good
Daniel Murfet, Susan Wei, Mingming Gong +3
In singular models, the optimal set of parameters forms an analytic set with singularities and classical statistical inference cannot be applied to such models. This is significant…
cs.LG2020★ 6 cited
The Fairness-Accuracy Pareto Front
Susan Wei, Marc Niethammer
Algorithmic fairness seeks to identify and correct sources of bias in machine learning algorithms. Confoundingly, ensuring fairness often comes at the cost of accuracy. We provide…