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Linear Classifiers that Encourage Constructive Adaptation

Linear Classifiers that Encourage Constructive Adaptation

31 October 2020
Yatong Chen
Jialu Wang
Yang Liu
ArXivPDFHTML

Papers citing "Linear Classifiers that Encourage Constructive Adaptation"

7 / 7 papers shown
Title
Adversaries With Incentives: A Strategic Alternative to Adversarial Robustness
Adversaries With Incentives: A Strategic Alternative to Adversarial Robustness
Maayan Ehrenberg
Roy Ganz
Nir Rosenfeld
AAML
56
0
0
17 Jun 2024
Causal Strategic Classification: A Tale of Two Shifts
Causal Strategic Classification: A Tale of Two Shifts
G. Horowitz
Nir Rosenfeld
OffRL
CML
26
14
0
13 Feb 2023
Improvement-Focused Causal Recourse (ICR)
Improvement-Focused Causal Recourse (ICR)
Gunnar Konig
Timo Freiesleben
Moritz Grosse-Wentrup
CML
34
15
0
27 Oct 2022
Outside the Echo Chamber: Optimizing the Performative Risk
Outside the Echo Chamber: Optimizing the Performative Risk
John Miller
Juan C. Perdomo
Tijana Zrnic
82
97
0
17 Feb 2021
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 Zou
87
74
0
15 Feb 2021
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
80
82
0
13 Oct 2020
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
207
2,090
0
24 Oct 2016
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