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Algorithmic Fairness in Performative Policy Learning: Escaping the
  Impossibility of Group Fairness

Algorithmic Fairness in Performative Policy Learning: Escaping the Impossibility of Group Fairness

30 May 2024
Seamus Somerstep
Yaácov Ritov
Yuekai Sun
    FaML
ArXivPDFHTML

Papers citing "Algorithmic Fairness in Performative Policy Learning: Escaping the Impossibility of Group Fairness"

5 / 5 papers shown
Title
Microfoundation Inference for Strategic Prediction
Microfoundation Inference for Strategic Prediction
Daniele Bracale
Subha Maity
Felipe Maia Polo
Seamus Somerstep
Moulinath Banerjee
Yuekai Sun
90
0
0
13 Nov 2024
Oh the Prices You'll See: Designing a Fair Exchange System to Mitigate Personalized Pricing
Oh the Prices You'll See: Designing a Fair Exchange System to Mitigate Personalized Pricing
Aditya Karan
Naina Balepur
Hari Sundaram
13
0
0
04 Sep 2024
How to Learn when Data Reacts to Your Model: Performative Gradient
  Descent
How to Learn when Data Reacts to Your Model: Performative Gradient Descent
Zachary Izzo
Lexing Ying
James Y. Zou
79
73
0
15 Feb 2021
Learning Adversarially Fair and Transferable Representations
Learning Adversarially Fair and Transferable Representations
David Madras
Elliot Creager
T. Pitassi
R. Zemel
FaML
213
673
0
17 Feb 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
185
2,082
0
24 Oct 2016
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