7 citations · 12 across the 3 of their papers we have counts for
3 papers
cs.LG2023★ 4 cited
Last-Layer Fairness Fine-tuning is Simple and Effective for Neural Networks
Yuzhen Mao, Zhun Deng, Huaxiu Yao +3
As machine learning has been deployed ubiquitously across applications in modern data science, algorithmic fairness has become a great concern. Among them, imposing fairness constr…
stat.AP2022★ 1 cited
Association between author metadata and acceptance: A feature-rich, matched observational study of a corpus of ICLR submissions between 2017-2022
Chang Chen, Jiayao Zhang, Dan Roth +2
Many recent studies have probed status bias in the peer-review process of academic journals and conferences. In this article, we investigated the association between author metadat…
cs.LG2022★ 7 cited
FIFA: Making Fairness More Generalizable in Classifiers Trained on Imbalanced Data
Zhun Deng, Jiayao Zhang, Linjun Zhang +4
Algorithmic fairness plays an important role in machine learning and imposing fairness constraints during learning is a common approach. However, many datasets are imbalanced in ce…