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20142025
most citedFairness Beyond Disparate Treatment & Disparate Impact: Learning Classification without Disparate Mistreatment

626 citations · 2.7k across the 64 of their papers we have counts for

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Showing 2020Show all

5 papers · 1 filter

cs.SI2020

On Fair Virtual Conference Scheduling: Achieving Equitable Participant and Speaker Satisfaction

Gourab K Patro, Abhijnan Chakraborty, Niloy Ganguly +1

The (COVID-19) pandemic-induced restrictions on travel and social gatherings have prompted most conference organizers to move their events online. However, in contrast to physical…

cs.AI2020★ 1 cited

Unifying Model Explainability and Robustness via Machine-Checkable Concepts

Vedant Nanda, Till Speicher, John P. Dickerson +2

As deep neural networks (DNNs) get adopted in an ever-increasing number of applications, explainability has emerged as a crucial desideratum for these models. In many real-world ta…

cs.CY2020★ 17 cited

On Fair Selection in the Presence of Implicit Variance

Vitalii Emelianov, Nicolas Gast, Krishna P. Gummadi +1

Quota-based fairness mechanisms like the so-called Rooney rule or four-fifths rule are used in selection problems such as hiring or college admission to reduce inequalities based o…

cs.LG2020★ 4 cited

Fair Inputs and Fair Outputs: The Incompatibility of Fairness in Privacy and Accuracy

Bashir Rastegarpanah, Mark Crovella, Krishna P. Gummadi

Fairness concerns about algorithmic decision-making systems have been mainly focused on the outputs (e.g., the accuracy of a classifier across individuals or groups). However, one…

cs.AI2020★ 192 cited

FairRec: Two-Sided Fairness for Personalized Recommendations in Two-Sided Platforms

Gourab K Patro, Arpita Biswas, Niloy Ganguly +2

We investigate the problem of fair recommendation in the context of two-sided online platforms, comprising customers on one side and producers on the other. Traditionally, recommen…