Fair Sequential Selection Using Supervised Learning Models
Published in arXiv (Cornell University) • Oct 26, 2021
Authors:,,
Mohammad Mahdi Khalili
Xueru Zhang
Mahed Abroshan
Abstract
We consider a selection problem where sequentially arrived applicants apply for a limited number of positions/jobs. At each time step, a decision maker accepts or rejects the given applicant using a pre-trained supervised learning model until all the vacant positions are filled. In this paper, we di...
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