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On the Fairness of Causal Algorithmic Recourse

On the Fairness of Causal Algorithmic Recourse

13 October 2020
Julius von Kügelgen
Amir-Hossein Karimi
Umang Bhatt
Isabel Valera
Adrian Weller
Bernhard Schölkopf
    FaML
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Papers citing "On the Fairness of Causal Algorithmic Recourse"

19 / 19 papers shown
Title
A New Approach to Backtracking Counterfactual Explanations: A Causal Framework for Efficient Model Interpretability
A New Approach to Backtracking Counterfactual Explanations: A Causal Framework for Efficient Model Interpretability
Pouria Fatemi
Ehsan Sharifian
Mohammad Hossein Yassaee
41
0
0
05 May 2025
Feature Responsiveness Scores: Model-Agnostic Explanations for Recourse
Feature Responsiveness Scores: Model-Agnostic Explanations for Recourse
Seung Hyun Cheon
Anneke Wernerfelt
Sorelle A. Friedler
Berk Ustun
FaML
FAtt
35
0
0
29 Oct 2024
HR-Bandit: Human-AI Collaborated Linear Recourse Bandit
HR-Bandit: Human-AI Collaborated Linear Recourse Bandit
Junyu Cao
Ruijiang Gao
Esmaeil Keyvanshokooh
32
1
0
18 Oct 2024
Systems with Switching Causal Relations: A Meta-Causal Perspective
Systems with Switching Causal Relations: A Meta-Causal Perspective
Moritz Willig
Tim Nelson Tobiasch
Florian Peter Busch
Jonas Seng
D. Dhami
Kristian Kersting
CML
41
0
0
16 Oct 2024
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
Long-Term Fairness Inquiries and Pursuits in Machine Learning: A Survey of Notions, Methods, and Challenges
Long-Term Fairness Inquiries and Pursuits in Machine Learning: A Survey of Notions, Methods, and Challenges
Usman Gohar
Zeyu Tang
Jialu Wang
Kun Zhang
Peter Spirtes
Yang Liu
Lu Cheng
FaML
49
3
0
10 Jun 2024
Fairness in Algorithmic Recourse Through the Lens of Substantive
  Equality of Opportunity
Fairness in Algorithmic Recourse Through the Lens of Substantive Equality of Opportunity
Andrew Bell
João Fonseca
Carlo Abrate
Francesco Bonchi
Julia Stoyanovich
FaML
28
2
0
29 Jan 2024
On the Connection between Game-Theoretic Feature Attributions and
  Counterfactual Explanations
On the Connection between Game-Theoretic Feature Attributions and Counterfactual Explanations
Emanuele Albini
Shubham Sharma
Saumitra Mishra
Danial Dervovic
Daniele Magazzeni
FAtt
38
2
0
13 Jul 2023
Incentives to Offer Algorithmic Recourse
Incentives to Offer Algorithmic Recourse
Matthew Olckers
T. Walsh
18
2
0
27 Jan 2023
Equality of Effort via Algorithmic Recourse
Equality of Effort via Algorithmic Recourse
Francesca Raimondi
A. Lawrence
Hana Chockler
11
1
0
21 Nov 2022
Backtracking Counterfactuals
Backtracking Counterfactuals
Julius von Kügelgen
Abdirisak Mohamed
Sander Beckers
LRM
27
16
0
01 Nov 2022
RAGUEL: Recourse-Aware Group Unfairness Elimination
RAGUEL: Recourse-Aware Group Unfairness Elimination
Aparajita Haldar
Teddy Cunningham
Hakan Ferhatosmanoglu
FaML
22
3
0
30 Aug 2022
From Statistical to Causal Learning
From Statistical to Causal Learning
Bernhard Schölkopf
Julius von Kügelgen
CML
23
45
0
01 Apr 2022
On the Adversarial Robustness of Causal Algorithmic Recourse
On the Adversarial Robustness of Causal Algorithmic Recourse
Ricardo Dominguez-Olmedo
Amir-Hossein Karimi
Bernhard Schölkopf
41
63
0
21 Dec 2021
Counterfactual Shapley Additive Explanations
Counterfactual Shapley Additive Explanations
Emanuele Albini
Jason Long
Danial Dervovic
Daniele Magazzeni
21
49
0
27 Oct 2021
Algorithmic Recourse in Partially and Fully Confounded Settings Through
  Bounding Counterfactual Effects
Algorithmic Recourse in Partially and Fully Confounded Settings Through Bounding Counterfactual Effects
Julius von Kügelgen
N. Agarwal
Jakob Zeitler
Afsaneh Mastouri
Bernhard Schölkopf
CML
12
2
0
22 Jun 2021
Causal Learning for Socially Responsible AI
Causal Learning for Socially Responsible AI
Lu Cheng
Ahmadreza Mosallanezhad
Paras Sheth
Huan Liu
63
13
0
25 Apr 2021
Algorithmic recourse under imperfect causal knowledge: a probabilistic
  approach
Algorithmic recourse under imperfect causal knowledge: a probabilistic approach
Amir-Hossein Karimi
Julius von Kügelgen
Bernhard Schölkopf
Isabel Valera
CML
28
178
0
11 Jun 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
192
2,082
0
24 Oct 2016
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