A General Framework for Fair Regression

Fairness, through its many forms and definitions, has become an important issue facing the machine learning community. In this work, we consider how to incorporate group fairness constraints into kernel regression methods, applicable to Gaussian processes, support vector machines, neural network reg...

Descripción completa

Detalles Bibliográficos
Autores principales: Fitzsimons, Jack, Al Ali, AbdulRahman, Osborne, Michael, Roberts, Stephen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7515270/
https://www.ncbi.nlm.nih.gov/pubmed/33267455
http://dx.doi.org/10.3390/e21080741

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7515270/
https://www.ncbi.nlm.nih.gov/pubmed/33267455
http://dx.doi.org/10.3390/e21080741

Ejemplares similares