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Avoiding Discrimination through Causal Reasoning
v1v2 (latest)

Avoiding Discrimination through Causal Reasoning

8 June 2017
Niki Kilbertus
Mateo Rojas-Carulla
Giambattista Parascandolo
Moritz Hardt
Dominik Janzing
Bernhard Schölkopf
    FaMLCML
ArXiv (abs)PDFHTML

Papers citing "Avoiding Discrimination through Causal Reasoning"

50 / 312 papers shown
Title
Causal Fairness for Outcome Control
Causal Fairness for Outcome Control
Drago Plečko
Elias Bareinboim
51
7
0
08 Jun 2023
Reconciling Predictive and Statistical Parity: A Causal Approach
Reconciling Predictive and Statistical Parity: A Causal Approach
Drago Plečko
Elias Bareinboim
FaML
54
2
0
08 Jun 2023
The Flawed Foundations of Fair Machine Learning
The Flawed Foundations of Fair Machine Learning
R. Poe
Soumia Zohra El Mestari
FaML
66
1
0
02 Jun 2023
Domain Generalization for Domain-Linked Classes
Domain Generalization for Domain-Linked Classes
Kimathi Kaai
Saad Hossain
Sirisha Rambhatla
OODAI4CE
54
0
0
01 Jun 2023
Unfair Utilities and First Steps Towards Improving Them
Unfair Utilities and First Steps Towards Improving Them
Frederik Hytting Jorgensen
S. Weichwald
J. Peters
FaML
107
0
0
01 Jun 2023
Counterpart Fairness -- Addressing Systematic between-group Differences
  in Fairness Evaluation
Counterpart Fairness -- Addressing Systematic between-group Differences in Fairness Evaluation
Yifei Wang
Zhengyang Zhou
Liqin Wang
John Laurentiev
Peter Hou
Li Zhou
Pengyu Hong
72
0
0
29 May 2023
Fairness in Image Search: A Study of Occupational Stereotyping in Image
  Retrieval and its Debiasing
Fairness in Image Search: A Study of Occupational Stereotyping in Image Retrieval and its Debiasing
Swagatika Dash
38
0
0
06 May 2023
Fairness through Aleatoric Uncertainty
Fairness through Aleatoric Uncertainty
Anique Tahir
Lu Cheng
Huan Liu
100
13
0
07 Apr 2023
Fair Off-Policy Learning from Observational Data
Fair Off-Policy Learning from Observational Data
Dennis Frauen
Valentyn Melnychuk
Stefan Feuerriegel
FaMLOffRL
70
6
0
15 Mar 2023
The Life Cycle of Knowledge in Big Language Models: A Survey
The Life Cycle of Knowledge in Big Language Models: A Survey
Boxi Cao
Hongyu Lin
Xianpei Han
Le Sun
KELM
95
28
0
14 Mar 2023
Causal Dependence Plots
Causal Dependence Plots
Joshua R. Loftus
Lucius E.J. Bynum
Sakina Hansen
CML
67
1
0
07 Mar 2023
Achieving Counterfactual Fairness for Anomaly Detection
Achieving Counterfactual Fairness for Anomaly Detection
Xiao Han
Lu Zhang
Yongkai Wu
Shuhan Yuan
38
7
0
04 Mar 2023
Auditing for Spatial Fairness
Auditing for Spatial Fairness
Dimitris Sacharidis
G. Giannopoulos
George Papastefanatos
Kostas Stefanidis
23
2
0
23 Feb 2023
Counterfactual Situation Testing: Uncovering Discrimination under
  Fairness given the Difference
Counterfactual Situation Testing: Uncovering Discrimination under Fairness given the Difference
Jose M. Alvarez
Salvatore Ruggieri
74
13
0
23 Feb 2023
Designing Equitable Algorithms
Designing Equitable Algorithms
Alex Chohlas-Wood
Madison Coots
Sharad Goel
Julian Nyarko
FaML
45
14
0
17 Feb 2023
A Review of the Role of Causality in Developing Trustworthy AI Systems
A Review of the Role of Causality in Developing Trustworthy AI Systems
Niloy Ganguly
Dren Fazlija
Maryam Badar
M. Fisichella
Sandipan Sikdar
...
Koustav Rudra
Manolis Koubarakis
Gourab K. Patro
W. Z. E. Amri
Wolfgang Nejdl
CML
89
26
0
14 Feb 2023
Improving Recommendation Fairness via Data Augmentation
Improving Recommendation Fairness via Data Augmentation
Lei Chen
Le Wu
Kun Zhang
Richang Hong
Defu Lian
Qing Cui
Jun Zhou
Meng Wang
FedML
56
46
0
13 Feb 2023
Improving Fair Training under Correlation Shifts
Improving Fair Training under Correlation Shifts
Yuji Roh
Kangwook Lee
Steven Euijong Whang
Changho Suh
102
18
0
05 Feb 2023
Increasing Fairness via Combination with Learning Guarantees
Increasing Fairness via Combination with Learning Guarantees
Yijun Bian
Kun Zhang
FaML
135
3
0
25 Jan 2023
Tier Balancing: Towards Dynamic Fairness over Underlying Causal Factors
Tier Balancing: Towards Dynamic Fairness over Underlying Causal Factors
Zeyu Tang
Yatong Chen
Yang Liu
Kun Zhang
55
8
0
21 Jan 2023
Consistent Range Approximation for Fair Predictive Modeling
Consistent Range Approximation for Fair Predictive Modeling
Jiongli Zhu
Sainyam Galhotra
Nazanin Sabri
Babak Salimi
77
11
0
21 Dec 2022
PreFair: Privately Generating Justifiably Fair Synthetic Data
PreFair: Privately Generating Justifiably Fair Synthetic Data
David Pujol
Amir Gilad
Ashwin Machanavajjhala
79
7
0
20 Dec 2022
Simplicity Bias Leads to Amplified Performance Disparities
Simplicity Bias Leads to Amplified Performance Disparities
Samuel J. Bell
Levent Sagun
53
13
0
13 Dec 2022
Causal Fairness Assessment of Treatment Allocation with Electronic
  Health Records
Causal Fairness Assessment of Treatment Allocation with Electronic Health Records
Linying Zhang
L. Richter
Yixin Wang
A. Ostropolets
Noémie Elhadad
David M. Blei
G. Hripcsak
CML
66
3
0
21 Nov 2022
Backtracking Counterfactuals
Backtracking Counterfactuals
Julius von Kügelgen
Abdirisak Mohamed
Sander Beckers
LRM
102
18
0
01 Nov 2022
Improvement-Focused Causal Recourse (ICR)
Improvement-Focused Causal Recourse (ICR)
Gunnar Konig
Timo Freiesleben
Moritz Grosse-Wentrup
CML
76
16
0
27 Oct 2022
I Prefer not to Say: Protecting User Consent in Models with Optional
  Personal Data
I Prefer not to Say: Protecting User Consent in Models with Optional Personal Data
Tobias Leemann
Martin Pawelczyk
Christian Thomas Eberle
Gjergji Kasneci
82
1
0
25 Oct 2022
Simpson's Paradox in Recommender Fairness: Reconciling differences
  between per-user and aggregated evaluations
Simpson's Paradox in Recommender Fairness: Reconciling differences between per-user and aggregated evaluations
Flavien Prost
Ben Packer
Jilin Chen
Li Wei
Pierre-Antoine Kremp
...
Tulsee Doshi
Tonia Osadebe
Lukasz Heldt
Ed H. Chi
Alex Beutel
73
5
0
14 Oct 2022
Fairness via Adversarial Attribute Neighbourhood Robust Learning
Fairness via Adversarial Attribute Neighbourhood Robust Learning
Q. Qi
Shervin Ardeshir
Yi Tian Xu
Tianbao Yang
134
0
0
12 Oct 2022
Weak Proxies are Sufficient and Preferable for Fairness with Missing
  Sensitive Attributes
Weak Proxies are Sufficient and Preferable for Fairness with Missing Sensitive Attributes
Zhaowei Zhu
Yuanshun Yao
Jiankai Sun
Hanguang Li
Yang Liu
91
24
0
06 Oct 2022
SCALES: From Fairness Principles to Constrained Decision-Making
SCALES: From Fairness Principles to Constrained Decision-Making
Sreejith Balakrishnan
Jianxin Bi
Harold Soh
FaML
115
3
0
22 Sep 2022
Fairness and robustness in anti-causal prediction
Fairness and robustness in anti-causal prediction
Maggie Makar
Alexander DÁmour
OOD
102
12
0
20 Sep 2022
Fairness in Forecasting of Observations of Linear Dynamical Systems
Fairness in Forecasting of Observations of Linear Dynamical Systems
Quan Zhou
Jakub Mareˇcek
Robert Shorten
AI4TS
108
5
0
12 Sep 2022
Fairness and Randomness in Machine Learning: Statistical Independence
  and Relativization
Fairness and Randomness in Machine Learning: Statistical Independence and Relativization
Rabanus Derr
Robert C. Williamson
FaML
36
4
0
27 Jul 2022
Learning Counterfactually Invariant Predictors
Learning Counterfactually Invariant Predictors
Francesco Quinzan
Cecilia Casolo
Krikamol Muandet
Yucen Luo
Niki Kilbertus
118
10
0
20 Jul 2022
Bias Mitigation for Machine Learning Classifiers: A Comprehensive Survey
Bias Mitigation for Machine Learning Classifiers: A Comprehensive Survey
Max Hort
Zhenpeng Chen
Jie M. Zhang
Mark Harman
Federica Sarro
FaMLAI4CE
113
177
0
14 Jul 2022
Causal Conceptions of Fairness and their Consequences
Causal Conceptions of Fairness and their Consequences
H. Nilforoshan
Johann D. Gaebler
Ravi Shroff
Sharad Goel
FaML
199
46
0
12 Jul 2022
Is your model predicting the past?
Is your model predicting the past?
Moritz Hardt
Michael P. Kim
74
11
0
23 Jun 2022
Quantifying Feature Contributions to Overall Disparity Using Information
  Theory
Quantifying Feature Contributions to Overall Disparity Using Information Theory
Sanghamitra Dutta
Praveen Venkatesh
P. Grover
FAtt
47
5
0
16 Jun 2022
Causal Discovery for Fairness
Causal Discovery for Fairness
Ruta Binkyt.e-Sadauskien.e
K. Makhlouf
Carlos Pinzón
Sami Zhioua
C. Palamidessi
CML
78
18
0
14 Jun 2022
What-is and How-to for Fairness in Machine Learning: A Survey,
  Reflection, and Perspective
What-is and How-to for Fairness in Machine Learning: A Survey, Reflection, and Perspective
Zeyu Tang
Jiji Zhang
Kun Zhang
FaML
96
29
0
08 Jun 2022
Group Meritocratic Fairness in Linear Contextual Bandits
Group Meritocratic Fairness in Linear Contextual Bandits
Riccardo Grazzi
A. Akhavan
Johannes Falk
Leonardo Cella
Massimiliano Pontil
FaML
64
9
0
07 Jun 2022
(Im)possibility of Collective Intelligence
(Im)possibility of Collective Intelligence
Krikamol Muandet
259
6
0
05 Jun 2022
Counterfactual Fairness with Partially Known Causal Graph
Counterfactual Fairness with Partially Known Causal Graph
Aoqi Zuo
Susan Wei
Tongliang Liu
Bo Han
Kun Zhang
Biwei Huang
OODFaML
65
19
0
27 May 2022
What Is Fairness? On the Role of Protected Attributes and Fictitious
  Worlds
What Is Fairness? On the Role of Protected Attributes and Fictitious Worlds
Ludwig Bothmann
Kristina Peters
Bernd Bischl
39
5
0
19 May 2022
Multi-disciplinary fairness considerations in machine learning for
  clinical trials
Multi-disciplinary fairness considerations in machine learning for clinical trials
Isabel Chien
Nina Deliu
Richard Turner
Adrian Weller
S. Villar
Niki Kilbertus
FaML
73
23
0
18 May 2022
What is Proxy Discrimination?
What is Proxy Discrimination?
Michael Carl Tschantz
132
20
0
11 May 2022
Synthetic Data -- what, why and how?
Synthetic Data -- what, why and how?
James Jordon
Lukasz Szpruch
F. Houssiau
M. Bottarelli
Giovanni Cherubin
Carsten Maple
Samuel N. Cohen
Adrian Weller
94
120
0
06 May 2022
Assessing Dataset Bias in Computer Vision
Assessing Dataset Bias in Computer Vision
Athiya Deviyani
CVBM
56
9
0
03 May 2022
A Human-Centric Perspective on Fairness and Transparency in Algorithmic
  Decision-Making
A Human-Centric Perspective on Fairness and Transparency in Algorithmic Decision-Making
Jakob Schoeffer
FaML
56
3
0
29 Apr 2022
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