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2006.13699
Cited By
On Fair Selection in the Presence of Implicit Variance
ACM Conference on Economics and Computation (EC), 2020
24 June 2020
V. Emelianov
Nicolas Gast
Krishna P. Gummadi
Patrick Loiseau
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Papers citing
"On Fair Selection in the Presence of Implicit Variance"
18 / 18 papers shown
Correlation of Rankings in Matching Markets
Management Sciences (MS), 2025
Rémi Castera
Patrick Loiseau
Bary S.R. Pradelski
44
2
0
04 Dec 2025
The Price of Competitive Information Disclosure
Siddhartha Banerjee
Kamesh Munagala
Yiheng Shen
Kangning Wang
262
0
0
14 Apr 2025
MAFT: Efficient Model-Agnostic Fairness Testing for Deep Neural Networks via Zero-Order Gradient Search
International Conference on Software Engineering (ICSE), 2024
Zhaohui Wang
Min Zhang
Jingran Yang
Bojie Shao
Min Zhang
250
10
0
31 Dec 2024
Centralized Selection with Preferences in the Presence of Biases
International Conference on Machine Learning (ICML), 2024
L. E. Celis
Amit Kumar
Nisheeth K. Vishnoi
Andrew Xu
253
1
0
07 Sep 2024
Fairness in Ranking under Disparate Uncertainty
Conference on Equity and Access in Algorithms, Mechanisms, and Optimization (EAAMO), 2023
Richa Rastogi
Thorsten Joachims
365
4
0
04 Sep 2023
Trading-off price for data quality to achieve fair online allocation
Neural Information Processing Systems (NeurIPS), 2023
M. Molina
Nicolas Gast
Patrick Loiseau
Vianney Perchet
400
6
0
23 Jun 2023
Sampling Individually-Fair Rankings that are Always Group Fair
AAAI/ACM Conference on AI, Ethics, and Society (AIES), 2023
Sruthi Gorantla
Anay Mehrotra
Amit Deshpande
Anand Louis
FedML
FaML
225
4
0
21 Jun 2023
Subset Selection Based On Multiple Rankings in the Presence of Bias: Effectiveness of Fairness Constraints for Multiwinner Voting Score Functions
International Conference on Machine Learning (ICML), 2023
Niclas Boehmer
L. E. Celis
Lingxiao Huang
Anay Mehrotra
Nisheeth K. Vishnoi
236
5
0
16 Jun 2023
Fairness in Matching under Uncertainty
International Conference on Machine Learning (ICML), 2023
Siddartha Devic
David Kempe
Willie Neiswanger
Aleksandra Korolova
FaML
261
8
0
08 Feb 2023
Proactive and Reactive Engagement of Artificial Intelligence Methods for Education: A Review
Frontiers in Artificial Intelligence (FAI), 2023
Sruti Mallik
Ahana Gangopadhyay
287
88
0
23 Jan 2023
The Equity Framework: Fairness Beyond Equalized Predictive Outcomes
Keziah Naggita
J. C. Aguma
FaML
259
3
0
18 Apr 2022
Fair ranking: a critical review, challenges, and future directions
Conference on Fairness, Accountability and Transparency (FAccT), 2022
Gourab K. Patro
Lorenzo Porcaro
Laura Mitchell
Qiuyue Zhang
Meike Zehlike
Nikhil Garg
263
72
0
29 Jan 2022
On Fair Selection in the Presence of Implicit and Differential Variance
V. Emelianov
Nicolas Gast
Krishna P. Gummadi
Patrick Loiseau
248
27
0
10 Dec 2021
Fairness for AUC via Feature Augmentation
H. Fong
Vineet Kumar
Anay Mehrotra
Nisheeth K. Vishnoi
294
15
0
24 Nov 2021
On Meritocracy in Optimal Set Selection
Conference on Equity and Access in Algorithms, Mechanisms, and Optimization (EAAMO), 2021
Thomas Kleine Buening
Meirav Segal
D. Basu
Christos Dimitrakakis
Anne-Marie George
226
3
0
23 Feb 2021
The Effect of the Rooney Rule on Implicit Bias in the Long Term
L. E. Celis
Chris Hays
Anay Mehrotra
Nisheeth K. Vishnoi
272
18
0
21 Oct 2020
Bridging Machine Learning and Mechanism Design towards Algorithmic Fairness
Jessie Finocchiaro
R. Maio
F. Monachou
Gourab K. Patro
Manish Raghavan
Ana-Andreea Stoica
Stratis Tsirtsis
FaML
443
69
0
12 Oct 2020
Reducing the Filtering Effect in Public School Admissions: A Bias-aware Analysis for Targeted Interventions
Yuri Faenza
Swati Gupta
Aapeli Vuorinen
Xuan Zhang
350
1
0
22 Apr 2020
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