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Fairness Through Regularization for Learning to Rank
v1v2 (latest)

Fairness Through Regularization for Learning to Rank

11 February 2021
Nikola Konstantinov
Christoph H. Lampert
    FaML
ArXiv (abs)PDFHTML

Papers citing "Fairness Through Regularization for Learning to Rank"

5 / 5 papers shown
Title
Using Property Elicitation to Understand the Impacts of Fairness
  Regularizers
Using Property Elicitation to Understand the Impacts of Fairness Regularizers
Jessie Finocchiaro
FaML
82
0
0
20 Sep 2023
Fairness in Ranking under Disparate Uncertainty
Fairness in Ranking under Disparate Uncertainty
Richa Rastogi
Thorsten Joachims
94
3
0
04 Sep 2023
Consistent Range Approximation for Fair Predictive Modeling
Consistent Range Approximation for Fair Predictive Modeling
Jiongli Zhu
Sainyam Galhotra
Nazanin Sabri
Babak Salimi
77
11
0
21 Dec 2022
FARE: Provably Fair Representation Learning with Practical Certificates
FARE: Provably Fair Representation Learning with Practical Certificates
Nikola Jovanović
Mislav Balunović
Dimitar I. Dimitrov
Martin Vechev
210
13
0
13 Oct 2022
Debiasing Neural Retrieval via In-batch Balancing Regularization
Debiasing Neural Retrieval via In-batch Balancing Regularization
Yuantong Li
Xiaokai Wei
Zijian Wang
Shen Wang
Parminder Bhatia
Xiaofei Ma
Andrew O. Arnold
49
4
0
18 May 2022
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