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Pairwise Fairness for Ranking and Regression

Pairwise Fairness for Ranking and Regression

12 June 2019
Harikrishna Narasimhan
Andrew Cotter
Maya R. Gupta
S. Wang
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Papers citing "Pairwise Fairness for Ranking and Regression"

9 / 59 papers shown
Title
Beyond Individual and Group Fairness
Beyond Individual and Group Fairness
Pranjal Awasthi
Corinna Cortes
Yishay Mansour
M. Mohri
FaML
23
22
0
21 Aug 2020
Predictability and Fairness in Social Sensing
Predictability and Fairness in Social Sensing
Ramen Ghosh
Jakub Mareˇcek
W. Griggs
Matheus Souza
Robert Shorten
10
7
0
31 Jul 2020
Fairness-Aware Online Personalization
Fairness-Aware Online Personalization
G. R. Lal
S. Geyik
K. Kenthapadi
FaML
16
3
0
30 Jul 2020
Towards Model-Agnostic Post-Hoc Adjustment for Balancing Ranking
  Fairness and Algorithm Utility
Towards Model-Agnostic Post-Hoc Adjustment for Balancing Ranking Fairness and Algorithm Utility
Sen Cui
Weishen Pan
Changshui Zhang
Fei Wang
20
13
0
15 Jun 2020
Robust Optimization for Fairness with Noisy Protected Groups
Robust Optimization for Fairness with Noisy Protected Groups
S. Wang
Wenshuo Guo
Harikrishna Narasimhan
Andrew Cotter
Maya R. Gupta
Michael I. Jordan
NoLa
27
118
0
21 Feb 2020
Interventions for Ranking in the Presence of Implicit Bias
Interventions for Ranking in the Presence of Implicit Bias
L. E. Celis
Anay Mehrotra
Nisheeth K. Vishnoi
24
64
0
23 Jan 2020
Policy-Gradient Training of Fair and Unbiased Ranking Functions
Policy-Gradient Training of Fair and Unbiased Ranking Functions
Himank Yadav
Zhengxiao Du
Thorsten Joachims
11
42
0
19 Nov 2019
Practical Compositional Fairness: Understanding Fairness in
  Multi-Component Recommender Systems
Practical Compositional Fairness: Understanding Fairness in Multi-Component Recommender Systems
Xuezhi Wang
Nithum Thain
Anu Sinha
Flavien Prost
Ed H. Chi
Jilin Chen
Alex Beutel
FaML
CoGe
13
1
0
05 Nov 2019
Optimization with Non-Differentiable Constraints with Applications to
  Fairness, Recall, Churn, and Other Goals
Optimization with Non-Differentiable Constraints with Applications to Fairness, Recall, Churn, and Other Goals
Andrew Cotter
Heinrich Jiang
S. Wang
Taman Narayan
Maya R. Gupta
Seungil You
Karthik Sridharan
11
152
0
11 Sep 2018
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