When Fair Ranking Meets Uncertain Inference

5 May 2021

Papers citing "When Fair Ranking Meets Uncertain Inference"

12 / 12 papers shown

Title
A Tutorial On Intersectionality in Fair Rankings Chiara Criscuolo Davide Martinenghi Giuseppe Piccirillo FaML 70 0 0 07 Feb 2025
Addressing Discretization-Induced Bias in Demographic Prediction Evan Dong Aaron Schein Yixin Wang Nikhil Garg 32 3 0 27 May 2024
Measuring Bias in a Ranked List using Term-based Representations Amin Abolghasemi Leif Azzopardi Arian Askari Maarten de Rijke Suzan Verberne 42 6 0 09 Mar 2024
The Role of Relevance in Fair Ranking Aparna Balagopalan Abigail Z. Jacobs Asia J. Biega 25 8 0 09 May 2023
Fairness in Matching under Uncertainty Siddartha Devic David Kempe Vatsal Sharan Aleksandra Korolova FaML 24 6 0 08 Feb 2023
Fair Ranking with Noisy Protected Attributes Anay Mehrotra Nisheeth K. Vishnoi 23 16 0 30 Nov 2022
Justice in Misinformation Detection Systems: An Analysis of Algorithms, Stakeholders, and Potential Harms Terrence Neumann Maria De-Arteaga S. Fazelpour 25 22 0 28 Apr 2022
Fairness in Ranking under Uncertainty Ashudeep Singh David Kempe Thorsten Joachims 26 49 0 14 Jul 2021
Characterizing Intersectional Group Fairness with Worst-Case Comparisons A. Ghosh Lea Genuit Mary Reagan FaML 86 51 0 05 Jan 2021
The Diversity-Innovation Paradox in Science Bas Hofstra V. V. Kulkarni Sebastian Munoz-Najar Galvez Bryan He Dan Jurafsky Daniel A. McFarland 27 665 0 04 Sep 2019
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 311 4,203 0 23 Aug 2019
Convolutional Neural Networks for Sentence Classification Yoon Kim AILaw VLM 250 13,364 0 25 Aug 2014