Laura Niss
Laura Niss
Home
Publications
Experience
Contact
Light
Dark
Automatic
Fair Pipelines
Amanda Bower
,
Sarah N. Kitchen
,
Laura Niss
,
Martin J. Strauss
,
Alexander Vargas
,
Suresh Venkatasubramanian
July 2017
PDF
Cite
Type
Conference paper
Publication
4th Workshop on Fairness, Accountability, and Transparency in Machine Learning
Computer Science - Computers and Society
Computer Science - Machine Learning
Statistics - Machine Learning
Related
What You See May Not Be What You Get: UCB Bandit Algorithms Robust to epsilon-Contamination
Debiasing Representations by Removing Unwanted Variation Due to Protected Attributes
Cite
×