Fairness for Robust Learning to Rank

Fairness for Robust Learning to Rank

12 December 2021

Papers citing "Fairness for Robust Learning to Rank"

10 / 10 papers shown

Title
FairRec: Two-Sided Fairness for Personalized Recommendations in Two-Sided Platforms Gourab K. Patro Arpita Biswas Niloy Ganguly Krishna P. Gummadi Abhijnan Chakraborty FaML 60 233 0 25 Feb 2020
Pairwise Fairness for Ranking and Regression Harikrishna Narasimhan Andrew Cotter Maya R. Gupta S. Wang 64 114 0 12 Jun 2019
Fairness-Aware Ranking in Search & Recommendation Systems with Application to LinkedIn Talent Search S. Geyik Stuart Ambler K. Kenthapadi 88 381 0 30 Apr 2019
The Fairness of Risk Scores Beyond Classification: Bipartite Ranking and the xAUC Metric Nathan Kallus Angela Zhou 79 74 0 15 Feb 2019
Classification with Fairness Constraints: A Meta-Algorithm with Provable Guarantees L. E. Celis Lingxiao Huang Vijay Keswani Nisheeth K. Vishnoi FaML 180 308 0 15 Jun 2018
A Reductions Approach to Fair Classification Alekh Agarwal A. Beygelzimer Miroslav Dudík John Langford Hanna M. Wallach FaML 198 1,099 0 06 Mar 2018
Empirical Risk Minimization under Fairness Constraints Michele Donini L. Oneto Shai Ben-David John Shawe-Taylor Massimiliano Pontil FaML 76 444 0 23 Feb 2018
Learning Adversarially Fair and Transferable Representations David Madras Elliot Creager T. Pitassi R. Zemel FaML 356 681 0 17 Feb 2018
A Survey Of Methods For Explaining Black Box Models Riccardo Guidotti A. Monreale Salvatore Ruggieri Franco Turini D. Pedreschi F. Giannotti XAI 120 3,938 0 06 Feb 2018
Certifying and removing disparate impact Michael Feldman Sorelle A. Friedler John Moeller C. Scheidegger Suresh Venkatasubramanian FaML 171 1,984 0 11 Dec 2014