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Superhuman Fairness

Superhuman Fairness

31 January 2023
Omid Memarrast
Linh Vu
Brian Ziebart
    FaML
ArXiv (abs)PDFHTML

Papers citing "Superhuman Fairness"

11 / 11 papers shown
Title
Pushing the limits of fairness impossibility: Who's the fairest of them
  all?
Pushing the limits of fairness impossibility: Who's the fairest of them all?
Brian Hsu
Rahul Mazumder
Preetam Nandy
Kinjal Basu
52
10
0
24 Aug 2022
Minimax Pareto Fairness: A Multi Objective Perspective
Minimax Pareto Fairness: A Multi Objective Perspective
Natalia Martínez
Martín Bertrán
Guillermo Sapiro
FaML
77
193
0
03 Nov 2020
Accuracy and Fairness Trade-offs in Machine Learning: A Stochastic
  Multi-Objective Approach
Accuracy and Fairness Trade-offs in Machine Learning: A Stochastic Multi-Objective Approach
Suyun Liu
Luis Nunes Vicente
FaML
55
70
0
03 Aug 2020
Fair Performance Metric Elicitation
Fair Performance Metric Elicitation
Gaurush Hiranandani
Harikrishna Narasimhan
Oluwasanmi Koyejo
52
18
0
23 Jun 2020
Recovering from Biased Data: Can Fairness Constraints Improve Accuracy?
Recovering from Biased Data: Can Fairness Constraints Improve Accuracy?
Avrim Blum
Kevin Stangl
FaML
59
87
0
02 Dec 2019
Learning Optimal and Fair Decision Trees for Non-Discriminative
  Decision-Making
Learning Optimal and Fair Decision Trees for Non-Discriminative Decision-Making
S. Aghaei
Javad Azizi
P. Vayanos
FaML
60
178
0
25 Mar 2019
An Algorithmic Perspective on Imitation Learning
An Algorithmic Perspective on Imitation Learning
Takayuki Osa
Joni Pajarinen
Gerhard Neumann
J. Andrew Bagnell
Pieter Abbeel
Jan Peters
88
847
0
16 Nov 2018
Classification with Fairness Constraints: A Meta-Algorithm with Provable
  Guarantees
Classification with Fairness Constraints: A Meta-Algorithm with Provable Guarantees
L. E. Celis
Lingxiao Huang
Vijay Keswani
Nisheeth K. Vishnoi
FaML
209
309
0
15 Jun 2018
Fair prediction with disparate impact: A study of bias in recidivism
  prediction instruments
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments
Alexandra Chouldechova
FaML
302
2,121
0
24 Oct 2016
Equality of Opportunity in Supervised Learning
Equality of Opportunity in Supervised Learning
Moritz Hardt
Eric Price
Nathan Srebro
FaML
233
4,330
0
07 Oct 2016
Inherent Trade-Offs in the Fair Determination of Risk Scores
Inherent Trade-Offs in the Fair Determination of Risk Scores
Jon M. Kleinberg
S. Mullainathan
Manish Raghavan
FaML
122
1,775
0
19 Sep 2016
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