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1706.02744
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Avoiding Discrimination through Causal Reasoning
Neural Information Processing Systems (NeurIPS), 2017
8 June 2017
Niki Kilbertus
Mateo Rojas-Carulla
Giambattista Parascandolo
Moritz Hardt
Dominik Janzing
Bernhard Schölkopf
FaML
CML
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Papers citing
"Avoiding Discrimination through Causal Reasoning"
50 / 320 papers shown
The Impact of Explanations on Fairness in Human-AI Decision-Making: Protected vs Proxy Features
International Conference on Intelligent User Interfaces (IUI), 2023
Navita Goyal
Connor Baumler
Tin Trung Nguyen
Hal Daumé
360
10
0
12 Oct 2023
Toward Operationalizing Pipeline-aware ML Fairness: A Research Agenda for Developing Practical Guidelines and Tools
Conference on Equity and Access in Algorithms, Mechanisms, and Optimization (EAAMO), 2023
Maximilian Schambach
Rakshit Naidu
Rayid Ghani
Kit T. Rodolfa
Daniel E. Ho
Hoda Heidari
FaML
282
22
0
29 Sep 2023
Measuring, Interpreting, and Improving Fairness of Algorithms using Causal Inference and Randomized Experiments
James Enouen
Tianshu Sun
Yan Liu
FaML
248
0
0
04 Sep 2023
Adaptation Speed Analysis for Fairness-aware Causal Models
International Conference on Information and Knowledge Management (CIKM), 2023
Yujie Lin
Chen Zhao
Minglai Shao
Xujiang Zhao
Haifeng Chen
129
6
0
31 Aug 2023
Fair Models in Credit: Intersectional Discrimination and the Amplification of Inequity
S. Kim
Stefan Lessmann
G. Andreeva
Michael Rovatsos
FaML
179
8
0
01 Aug 2023
Learning Fair Classifiers via Min-Max F-divergence Regularization
Allerton Conference on Communication, Control, and Computing (Allerton), 2023
Meiyu Zhong
Ravi Tandon
FaML
171
6
0
28 Jun 2023
Fairness Aware Counterfactuals for Subgroups
Neural Information Processing Systems (NeurIPS), 2023
Nikolaos Theologitis
Konstantinos Tsopelas
G. Giannopoulos
Kleopatra Markou
Eleni Psaroudaki
Nikolaos Theologitis
Dimitrios Tomaras
Eleni Psaroudaki
Ioannis Emiris
235
9
0
26 Jun 2023
Insights From Insurance for Fair Machine Learning
Conference on Fairness, Accountability and Transparency (FAccT), 2023
Christiane Fröhlich
Robert C. Williamson
FaML
243
9
0
26 Jun 2023
Causal Fairness for Outcome Control
Neural Information Processing Systems (NeurIPS), 2023
Drago Plečko
Elias Bareinboim
184
11
0
08 Jun 2023
Reconciling Predictive and Statistical Parity: A Causal Approach
AAAI Conference on Artificial Intelligence (AAAI), 2023
Drago Plečko
Elias Bareinboim
FaML
184
2
0
08 Jun 2023
The Flawed Foundations of Fair Machine Learning
R. Poe
Soumia Zohra El Mestari
FaML
160
1
0
02 Jun 2023
Domain Generalization for Domain-Linked Classes
Kimathi Kaai
Saad Hossain
Sirisha Rambhatla
OOD
AI4CE
146
1
0
01 Jun 2023
Unfair Utilities and First Steps Towards Improving Them
Frederik Hytting Jorgensen
S. Weichwald
J. Peters
FaML
334
0
0
01 Jun 2023
Counterpart Fairness -- Addressing Systematic between-group Differences in Fairness Evaluation
Yifei Wang
Zhengyang Zhou
Liqin Wang
John Laurentiev
Peter Hou
Li Zhou
Pengyu Hong
200
0
0
29 May 2023
Fairness in Image Search: A Study of Occupational Stereotyping in Image Retrieval and its Debiasing
Swagatika Dash
119
0
0
06 May 2023
Fairness through Aleatoric Uncertainty
International Conference on Information and Knowledge Management (CIKM), 2023
Anique Tahir
Lu Cheng
Huan Liu
260
18
0
07 Apr 2023
Fair Off-Policy Learning from Observational Data
International Conference on Machine Learning (ICML), 2023
Dennis Frauen
Valentyn Melnychuk
Stefan Feuerriegel
FaML
OffRL
329
8
0
15 Mar 2023
The Life Cycle of Knowledge in Big Language Models: A Survey
Machine Intelligence Research (MIR), 2023
Boxi Cao
Hongyu Lin
Xianpei Han
Le Sun
KELM
266
30
0
14 Mar 2023
Causal Dependence Plots
Neural Information Processing Systems (NeurIPS), 2023
Joshua R. Loftus
Lucius E.J. Bynum
Sakina Hansen
CML
150
5
0
07 Mar 2023
Achieving Counterfactual Fairness for Anomaly Detection
Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2023
Xiao Han
Lu Zhang
Yongkai Wu
Shuhan Yuan
164
8
0
04 Mar 2023
Auditing for Spatial Fairness
International Conference on Extending Database Technology (EDBT), 2023
Kleopatra Markou
G. Giannopoulos
George Papastefanatos
Kostas Stefanidis
63
3
0
23 Feb 2023
Counterfactual Situation Testing: Uncovering Discrimination under Fairness given the Difference
Conference on Equity and Access in Algorithms, Mechanisms, and Optimization (EAAMO), 2023
Jose M. Alvarez
Salvatore Ruggieri
295
14
0
23 Feb 2023
Designing Equitable Algorithms
Nature Computational Science (Nat. Comput. Sci.), 2023
Alex Chohlas-Wood
Madison Coots
Sharad Goel
Julian Nyarko
FaML
195
18
0
17 Feb 2023
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
323
27
0
14 Feb 2023
Improving Recommendation Fairness via Data Augmentation
The Web Conference (WWW), 2023
Lei Chen
Le Wu
Kun Zhang
Richang Hong
Defu Lian
Qing Cui
Jun Zhou
Meng Wang
FedML
158
65
0
13 Feb 2023
Improving Fair Training under Correlation Shifts
International Conference on Machine Learning (ICML), 2023
Yuji Roh
Kangwook Lee
Steven Euijong Whang
Changho Suh
209
21
0
05 Feb 2023
Increasing Fairness via Combination with Learning Guarantees
Yijun Bian
Kun Zhang
FaML
468
3
0
25 Jan 2023
Tier Balancing: Towards Dynamic Fairness over Underlying Causal Factors
International Conference on Learning Representations (ICLR), 2023
Zeyu Tang
Yatong Chen
Yang Liu
Kun Zhang
249
9
0
21 Jan 2023
Consistent Range Approximation for Fair Predictive Modeling
Proceedings of the VLDB Endowment (PVLDB), 2022
Jiongli Zhu
Sainyam Galhotra
Nazanin Sabri
Babak Salimi
249
13
0
21 Dec 2022
PreFair: Privately Generating Justifiably Fair Synthetic Data
Proceedings of the VLDB Endowment (PVLDB), 2022
David Pujol
Amir Gilad
Ashwin Machanavajjhala
242
11
0
20 Dec 2022
Simplicity Bias Leads to Amplified Performance Disparities
Conference on Fairness, Accountability and Transparency (FAccT), 2022
Samuel J. Bell
Levent Sagun
215
13
0
13 Dec 2022
Causal Fairness Assessment of Treatment Allocation with Electronic Health Records
Journal of Biomedical Informatics (JBI), 2022
Linying Zhang
L. Richter
Yixin Wang
A. Ostropolets
Noémie Elhadad
David M. Blei
G. Hripcsak
CML
208
6
0
21 Nov 2022
Backtracking Counterfactuals
CLEaR (CLEaR), 2022
Julius von Kügelgen
Abdirisak Mohamed
Sander Beckers
LRM
312
27
0
01 Nov 2022
Improvement-Focused Causal Recourse (ICR)
AAAI Conference on Artificial Intelligence (AAAI), 2022
Gunnar Konig
Timo Freiesleben
Moritz Grosse-Wentrup
CML
229
20
0
27 Oct 2022
I Prefer not to Say: Protecting User Consent in Models with Optional Personal Data
AAAI Conference on Artificial Intelligence (AAAI), 2022
Tobias Leemann
Martin Pawelczyk
Christian Thomas Eberle
Gjergji Kasneci
400
1
0
25 Oct 2022
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
165
5
0
14 Oct 2022
Fairness via Adversarial Attribute Neighbourhood Robust Learning
Q. Qi
Shervin Ardeshir
Yi Tian Xu
Tianbao Yang
285
0
0
12 Oct 2022
Weak Proxies are Sufficient and Preferable for Fairness with Missing Sensitive Attributes
International Conference on Machine Learning (ICML), 2022
Zhaowei Zhu
Yuanshun Yao
Jiankai Sun
Hanguang Li
Zehua Wang
310
27
0
06 Oct 2022
SCALES: From Fairness Principles to Constrained Decision-Making
AAAI/ACM Conference on AI, Ethics, and Society (AIES), 2022
Sreejith Balakrishnan
Jianxin Bi
Harold Soh
FaML
215
3
0
22 Sep 2022
Fairness and robustness in anti-causal prediction
Maggie Makar
Alexander DÁmour
OOD
258
13
0
20 Sep 2022
Fairness in Forecasting of Observations of Linear Dynamical Systems
Journal of Artificial Intelligence Research (JAIR), 2022
Quan Zhou
Jakub Mareˇcek
Robert Shorten
AI4TS
390
6
0
12 Sep 2022
Fairness and Randomness in Machine Learning: Statistical Independence and Relativization
Rabanus Derr
Robert C. Williamson
FaML
156
4
0
27 Jul 2022
Learning Counterfactually Invariant Predictors
Francesco Quinzan
Cecilia Casolo
Krikamol Muandet
Yucen Luo
Niki Kilbertus
374
10
0
20 Jul 2022
Bias Mitigation for Machine Learning Classifiers: A Comprehensive Survey
ACM Journal on Responsible Computing (JRC), 2022
Max Hort
Zhenpeng Chen
Jie M. Zhang
Mark Harman
Federica Sarro
FaML
AI4CE
361
238
0
14 Jul 2022
Causal Conceptions of Fairness and their Consequences
International Conference on Machine Learning (ICML), 2022
H. Nilforoshan
Johann D. Gaebler
Ravi Shroff
Sharad Goel
FaML
283
51
0
12 Jul 2022
Is your model predicting the past?
Conference on Equity and Access in Algorithms, Mechanisms, and Optimization (EAAMO), 2022
Moritz Hardt
Michael P. Kim
245
11
0
23 Jun 2022
Quantifying Feature Contributions to Overall Disparity Using Information Theory
Sanghamitra Dutta
Praveen Venkatesh
P. Grover
FAtt
155
6
0
16 Jun 2022
Causal Discovery for Fairness
Ruta Binkyt.e-Sadauskien.e
K. Makhlouf
Carlos Pinzón
Sami Zhioua
C. Palamidessi
CML
223
23
0
14 Jun 2022
What-is and How-to for Fairness in Machine Learning: A Survey, Reflection, and Perspective
ACM Computing Surveys (ACM CSUR), 2022
Zeyu Tang
Jiji Zhang
Kun Zhang
FaML
434
35
0
08 Jun 2022
Group Meritocratic Fairness in Linear Contextual Bandits
Neural Information Processing Systems (NeurIPS), 2022
Riccardo Grazzi
A. Akhavan
Johannes Falk
Leonardo Cella
Massimiliano Pontil
FaML
240
10
0
07 Jun 2022
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