Hyper-parameter tuning for fair classification without sensitive attribute access

AK Veldanda, I Brugere, S Dutta, A Mishler… - arXiv preprint arXiv …, 2023 - arxiv.org
Fair machine learning methods seek to train models that balance model performance across
demographic subgroups defined over sensitive attributes like race and gender. Although …
被引用次数：5 相关文章

Hyper-parameter Tuning for Fair Classification without Sensitive Attribute Access

AK Veldanda, I Brugere, S Dutta, A Mishler… - arXiv e …, 2023 - ui.adsabs.harvard.edu
Fair machine learning methods seek to train models that balance model performance across
demographic subgroups defined over sensitive attributes like race and gender. Although …

Hyper-parameter Tuning for Fair Classification without Sensitive Attribute Access

AK Veldanda, I Brugere, S Dutta, A Mishler… - Transactions on Machine … - openreview.net
Fair machine learning methods seek to train models that balance model performance across
demographic subgroups defined over sensitive attributes like race and gender. Although …

Hyper-parameter Tuning for Fair Classification without Sensitive Attribute Access

AK Veldanda, I Brugere, S Dutta, A Mishler, S Garg - openreview.net
Fair machine learning methods seek to train models that balance model performance across
demographic subgroups defined over sensitive attributes like race and gender. Although …