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20112026
most citedDesigning Fair Ranking Schemes

162 citations · 585 across the 42 of their papers we have counts for

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Showing 2021Show all

5 papers · 1 filter

cs.DB2021

Temporal Regular Path Queries

Marcelo Arenas, Pedro Bahamondes, Amir Aghasadeghi +1

In the last decade, substantial progress has been made towards standardizing the syntax of graph query languages, and towards understanding their semantics and complexity of evalua…

cs.LG2021★ 6 cited

Disaggregated Interventions to Reduce Inequality

Lucius E. J. Bynum, Joshua R. Loftus, Julia Stoyanovich

A significant body of research in the data sciences considers unfair discrimination against social categories such as race or gender that could occur or be amplified as a result of…

cs.CY2021★ 4 cited

Fairness as Equality of Opportunity: Normative Guidance from Political Philosophy

Falaah Arif Khan, Eleni Manis, Julia Stoyanovich

Recent interest in codifying fairness in Automated Decision Systems (ADS) has resulted in a wide range of formulations of what it means for an algorithmic system to be fair. Most o…

cs.GT2021

Most Expected Winner: An Interpretation of Winners over Uncertain Voter Preferences

Haoyue Ping, Julia Stoyanovich

It remains an open question how to determine the winner of an election when voter preferences are incomplete or uncertain. One option is to assume some probability space over the v…

cs.IR2021★ 92 cited

Fairness in Ranking: A Survey

Meike Zehlike, Ke Yang, Julia Stoyanovich

In the past few years, there has been much work on incorporating fairness requirements into algorithmic rankers, with contributions coming from the data management, algorithms, inf…