Learning from Outcomes - Evidence-Based Rankings

Michael P. Kim
Michael P. Kim
Gal Yona
Gal Yona

2019 IEEE 60TH ANNUAL SYMPOSIUM ON FOUNDATIONS OF COMPUTER SCIENCE (FOCS 2019), pp. 106.0-125, 2019.

Cited by: 2|Bibtex|Views64|DOI:https://doi.org/10.1109/FOCS.2019.00016
EI
Other Links: dblp.uni-trier.de|academic.microsoft.com

Abstract:

Many selection procedures involve ordering candidates according to their qualifications. For example, a university might order applicants according to a perceived probability of graduation within four years, and then select the top 1000 applicants. In this work, we address the problem of ranking members of a population according to their ...More

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