International Business Machines Corporation

University of Michigan

Fan Zhang

Sohini Upadhyay

Mikhail Yurochkin

Yuekai Sun

Debarghya Mukherjee

Amanda Ruth Garcia Bower

Seyed Hamid Eftekhari

Alexander Vargo

Obtain a first data set, a second data set, and a machine learning model. Construct a sensitive subspace of the first data set that defines a fair metric for distance among elements of the first data set. Fairly train the machine learning model on the first data set using a distributionally robust optimization approach based on the fair metric. Produce an individually fair set of labels by applying the fairly trained machine learning model to the second data set. Allocate a resource according to the individually fair set of labels.

Training individually fair machine learning algorithms via distributionally robust optimization

Growing community of inventors

Fushun, China

Fan Zhang