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An Algorithmic Framework to Control Bias in Bandit-based Personalization

An Algorithmic Framework to Control Bias in Bandit-based Personalization

23 February 2018
L. E. Celis
Sayash Kapoor
Farnood Salehi
Nisheeth K. Vishnoi
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Papers citing "An Algorithmic Framework to Control Bias in Bandit-based Personalization"

4 / 4 papers shown
Title
Don't Throw it Away! The Utility of Unlabeled Data in Fair Decision
  Making
Don't Throw it Away! The Utility of Unlabeled Data in Fair Decision Making
Miriam Rateike
Ayan Majumdar
Olga Mineeva
Krishna P. Gummadi
Isabel Valera
OffRL
37
11
0
10 May 2022
Fairness of Exposure in Stochastic Bandits
Fairness of Exposure in Stochastic Bandits
Lequn Wang
Yiwei Bai
Wen Sun
Thorsten Joachims
FaML
29
49
0
03 Mar 2021
Achieving User-Side Fairness in Contextual Bandits
Achieving User-Side Fairness in Contextual Bandits
Wen Huang
Kevin Labille
Xintao Wu
Dongwon Lee
Neil T. Heffernan
FaML
87
18
0
22 Oct 2020
Online Learning with an Unknown Fairness Metric
Online Learning with an Unknown Fairness Metric
Stephen Gillen
Christopher Jung
Michael Kearns
Aaron Roth
FaML
37
143
0
20 Feb 2018
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