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Designing Long-term Group Fair Policies in Dynamical Systems

Designing Long-term Group Fair Policies in Dynamical Systems

21 November 2023
Miriam Rateike
Isabel Valera
Patrick Forré
ArXivPDFHTML

Papers citing "Designing Long-term Group Fair Policies in Dynamical Systems"

10 / 10 papers shown
Title
Time Can Invalidate Algorithmic Recourse
Time Can Invalidate Algorithmic Recourse
Giovanni De Toni
Stefano Teso
Bruno Lepri
Andrea Passerini
32
0
0
10 Oct 2024
Algorithmic Fairness in Performative Policy Learning: Escaping the
  Impossibility of Group Fairness
Algorithmic Fairness in Performative Policy Learning: Escaping the Impossibility of Group Fairness
Seamus Somerstep
Yaácov Ritov
Yuekai Sun
FaML
18
4
0
30 May 2024
Policy Optimization with Advantage Regularization for Long-Term Fairness
  in Decision Systems
Policy Optimization with Advantage Regularization for Long-Term Fairness in Decision Systems
Eric Yang Yu
Zhizhen Qin
Min Kyung Lee
Sicun Gao
OffRL
35
14
0
22 Oct 2022
Fairness and robustness in anti-causal prediction
Fairness and robustness in anti-causal prediction
Maggie Makar
Alexander DÁmour
OOD
27
10
0
20 Sep 2022
Diagnosing failures of fairness transfer across distribution shift in
  real-world medical settings
Diagnosing failures of fairness transfer across distribution shift in real-world medical settings
Jessica Schrouff
Natalie Harris
Oluwasanmi Koyejo
Ibrahim M. Alabdulmohsin
Eva Schnider
...
Vivek Natarajan
Alan Karthikesalingam
Katherine A. Heller
Silvia Chiappa
Alexander DÁmour
OOD
51
53
0
02 Feb 2022
Multi-agent Performative Prediction: From Global Stability and
  Optimality to Chaos
Multi-agent Performative Prediction: From Global Stability and Optimality to Chaos
Georgios Piliouras
Fang-Yi Yu
32
32
0
25 Jan 2022
On the Fairness of Causal Algorithmic Recourse
On the Fairness of Causal Algorithmic Recourse
Julius von Kügelgen
Amir-Hossein Karimi
Umang Bhatt
Isabel Valera
Adrian Weller
Bernhard Schölkopf
FaML
70
82
0
13 Oct 2020
A Survey on Bias and Fairness in Machine Learning
A Survey on Bias and Fairness in Machine Learning
Ninareh Mehrabi
Fred Morstatter
N. Saxena
Kristina Lerman
Aram Galstyan
SyDa
FaML
294
4,187
0
23 Aug 2019
How Algorithmic Confounding in Recommendation Systems Increases
  Homogeneity and Decreases Utility
How Algorithmic Confounding in Recommendation Systems Increases Homogeneity and Decreases Utility
A. Chaney
Brandon M Stewart
Barbara E. Engelhardt
CML
161
312
0
30 Oct 2017
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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