Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
2006.11439
Cited By
Two Simple Ways to Learn Individual Fairness Metrics from Data
19 June 2020
Debarghya Mukherjee
Mikhail Yurochkin
Moulinath Banerjee
Yuekai Sun
FaML
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"Two Simple Ways to Learn Individual Fairness Metrics from Data"
50 / 56 papers shown
Wasserstein Distributionally Robust Optimization Through the Lens of Structural Causal Models and Individual Fairness
Neural Information Processing Systems (NeurIPS), 2025
A. Ehyaei
G. Farnadi
Samira Samadi
202
4
0
30 Sep 2025
Rethinking Individual Fairness in Deepfake Detection
Aryana Hou
Li Lin
Justin Li
Shu Hu
306
3
0
18 Jul 2025
Testing Individual Fairness in Graph Neural Networks
Roya Nasiri
245
2
0
25 Apr 2025
FairFML: Fair Federated Machine Learning with a Case Study on Reducing Gender Disparities in Cardiac Arrest Outcome Prediction
Siqi Li
Qiming Wu
Xin Li
Di Miao
Chuan Hong
...
Michael Hao Chen
Mengying Yan
Yilin Ning
M. Ong
Nan Liu
305
4
0
07 Oct 2024
Positive-Sum Fairness: Leveraging Demographic Attributes to Achieve Fair AI Outcomes Without Sacrificing Group Gains
Samia Belhadj
Sanguk Park
Ambika Seth
Hesham Dar
Thijs Kooi
290
2
0
30 Sep 2024
Rethinking Fair Graph Neural Networks from Re-balancing
Zhixun Li
Yushun Dong
Qiang Liu
Jeffrey Xu Yu
286
19
0
16 Jul 2024
AIM: Attributing, Interpreting, Mitigating Data Unfairness
Zhining Liu
Ruizhong Qiu
Zhichen Zeng
Yada Zhu
Hendrik Hamann
Hanghang Tong
FaML
456
12
0
13 Jun 2024
Individual Fairness Through Reweighting and Tuning
A. J. Mahamadou
Lea Goetz
Russ B. Altman
295
0
0
02 May 2024
Monotone Individual Fairness
International Conference on Machine Learning (ICML), 2024
Yahav Bechavod
248
3
0
11 Mar 2024
Holding Secrets Accountable: Auditing Privacy-Preserving Machine Learning
Hidde Lycklama
Alexander Viand
Nicolas Küchler
Christian Knabenhans
Anwar Hithnawi
327
11
0
24 Feb 2024
Grace Period is All You Need: Individual Fairness without Revenue Loss in Revenue Management
Patrick Jaillet
Chara Podimata
Zijie Zhou
FaML
235
0
0
13 Feb 2024
On the Impact of Output Perturbation on Fairness in Binary Linear Classification
Vitalii Emelianov
Michael Perrot
FaML
229
0
0
05 Feb 2024
Uncertainty-based Fairness Measures
Selim Kuzucu
Jiaee Cheong
Hatice Gunes
Sinan Kalkan
UD
PER
340
14
0
18 Dec 2023
Democratize with Care: The need for fairness specific features in user-interface based open source AutoML tools
Sundaraparipurnan Narayanan
227
0
0
16 Dec 2023
Certification of Distributional Individual Fairness
Neural Information Processing Systems (NeurIPS), 2023
Matthew Wicker
Vihari Piratla
Adrian Weller
185
1
0
20 Nov 2023
Causal Fair Metric: Bridging Causality, Individual Fairness, and Adversarial Robustness
A. Ehyaei
G. Farnadi
Samira Samadi
421
4
0
30 Oct 2023
Identifying Reasons for Bias: An Argumentation-Based Approach
AAAI Conference on Artificial Intelligence (AAAI), 2023
Madeleine Waller
Odinaldo Rodrigues
O. Cocarascu
FaML
420
2
0
25 Oct 2023
A Canonical Data Transformation for Achieving Inter- and Within-group Fairness
IEEE Transactions on Information Forensics and Security (IEEE TIFS), 2023
Zachary McBride Lazri
Shubham Sharma
Xin Tian
Dana Dachman-Soled
Antigoni Polychroniadou
Danial Dervovic
Min Wu
297
2
0
23 Oct 2023
Software Doping Analysis for Human Oversight
Sebastian Biewer
Kevin Baum
Sarah Sterz
Holger Hermanns
Sven Hetmank
Markus Langer
Anne Lauber-Rönsberg
Franz Lehr
265
9
0
11 Aug 2023
The Flawed Foundations of Fair Machine Learning
R. Poe
Soumia Zohra El Mestari
FaML
218
1
0
02 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
240
0
0
29 May 2023
GFairHint: Improving Individual Fairness for Graph Neural Networks via Fairness Hint
ACM Transactions on Knowledge Discovery from Data (TKDD), 2023
Paiheng Xu
Yuhang Zhou
Bang An
Wei Ai
Furong Huang
470
12
0
25 May 2023
To be Robust and to be Fair: Aligning Fairness with Robustness
Junyi Chai
Xiaoqian Wang
295
3
0
31 Mar 2023
(Un)fair devices: Moving beyond AI accuracy in personal sensing
Sofia Yfantidou
Marios Constantinides
Dimitris Spathis
Athena Vakali
Daniele Quercia
F. Kawsar
HAI
FaML
334
22
0
27 Mar 2023
Achieving Counterfactual Fairness with Imperfect Structural Causal Model
Expert systems with applications (ESWA), 2023
Tri Dung Duong
Qian Li
Guandong Xu
194
2
0
26 Mar 2023
Chasing Fairness Under Distribution Shift: A Model Weight Perturbation Approach
Neural Information Processing Systems (NeurIPS), 2023
Zhimeng Jiang
Xiaotian Han
Hongye Jin
Guanchu Wang
Rui Chen
Na Zou
Helen Zhou
372
19
0
06 Mar 2023
Fairness Evaluation in Text Classification: Machine Learning Practitioner Perspectives of Individual and Group Fairness
International Conference on Human Factors in Computing Systems (CHI), 2023
Zahra Ashktorab
Benjamin Hoover
Mayank Agarwal
Casey Dugan
Werner Geyer
Han Yang
Mikhail Yurochkin
FaML
331
21
0
01 Mar 2023
Individual Fairness under Uncertainty
European Conference on Artificial Intelligence (ECAI), 2023
Wenbin Zhang
Sribala Vidyadhari Chinta
Tong Zhang
Cheng Cheng
Thomas Oommen
Pradeep Ravikumar
Jeremy C. Weiss
FaML
359
17
0
16 Feb 2023
Retiring
Δ
Δ
Δ
DP: New Distribution-Level Metrics for Demographic Parity
Xiaotian Han
Zhimeng Jiang
Hongye Jin
Zirui Liu
Na Zou
Qifan Wang
Helen Zhou
460
4
0
31 Jan 2023
Human-Guided Fair Classification for Natural Language Processing
International Conference on Learning Representations (ICLR), 2022
Florian E.Dorner
Momchil Peychev
Nikola Konstantinov
Naman Goel
Elliott Ash
Martin Vechev
FaML
337
7
0
20 Dec 2022
Manifestations of Xenophobia in AI Systems
Ai & Society (AS), 2022
Nenad Tomašev
J. L. Maynard
Iason Gabriel
458
11
0
15 Dec 2022
Learning Antidote Data to Individual Unfairness
International Conference on Machine Learning (ICML), 2022
Peizhao Li
Ethan Xia
Hongfu Liu
FedML
FaML
437
11
0
29 Nov 2022
Private and Reliable Neural Network Inference
Conference on Computer and Communications Security (CCS), 2022
Nikola Jovanović
Marc Fischer
Samuel Steffen
Martin Vechev
305
22
0
27 Oct 2022
VerifyML: Obliviously Checking Model Fairness Resilient to Malicious Model Holder
IEEE Transactions on Dependable and Secure Computing (TDSC), 2022
Guowen Xu
Xingshuo Han
Gelei Deng
Tianwei Zhang
Shengmin Xu
Jianting Ning
Anjia Yang
Hongwei Li
226
4
0
16 Oct 2022
fAux: Testing Individual Fairness via Gradient Alignment
Giuseppe Castiglione
Ga Wu
C. Srinivasa
Simon J. D. Prince
168
4
0
10 Oct 2022
iFlipper: Label Flipping for Individual Fairness
Hantian Zhang
Ki Hyun Tae
Jaeyoung Park
Xu Chu
Steven Euijong Whang
335
12
0
15 Sep 2022
Comparing Apples to Oranges: Learning Similarity Functions for Data Produced by Different Distributions
Neural Information Processing Systems (NeurIPS), 2022
Leonidas Tsepenekas
Shubham Sharma
Freddy Lecue
Daniele Magazzeni
257
1
0
26 Aug 2022
Individually Fair Learning with One-Sided Feedback
International Conference on Machine Learning (ICML), 2022
Yahav Bechavod
Aaron Roth
FaML
266
5
0
09 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
512
39
0
08 Jun 2022
Multi-disciplinary fairness considerations in machine learning for clinical trials
Conference on Fairness, Accountability and Transparency (FAccT), 2022
Isabel Chien
Nina Deliu
Richard Turner
Adrian Weller
S. Villar
Niki Kilbertus
FaML
194
26
0
18 May 2022
Individual Fairness Guarantees for Neural Networks
International Joint Conference on Artificial Intelligence (IJCAI), 2022
Elias Benussi
A. Patané
Matthew Wicker
Luca Laurenti
Marta Kwiatkowska University of Oxford
237
26
0
11 May 2022
Domain Adaptation meets Individual Fairness. And they get along
Neural Information Processing Systems (NeurIPS), 2022
Debarghya Mukherjee
Felix Petersen
Mikhail Yurochkin
Yuekai Sun
FaML
298
19
0
01 May 2022
SLIDE: a surrogate fairness constraint to ensure fairness consistency
Neural Networks (NN), 2022
Kunwoong Kim
Ilsang Ohn
Sara Kim
Yongdai Kim
361
6
0
07 Feb 2022
Learning fair representation with a parametric integral probability metric
International Conference on Machine Learning (ICML), 2022
Dongha Kim
Kunwoong Kim
Insung Kong
Ilsang Ohn
Yongdai Kim
FaML
432
23
0
07 Feb 2022
Latent Space Smoothing for Individually Fair Representations
European Conference on Computer Vision (ECCV), 2021
Momchil Peychev
Anian Ruoss
Mislav Balunović
Maximilian Baader
Martin Vechev
FaML
361
26
0
26 Nov 2021
Unified Group Fairness on Federated Learning
Tai-wei Chang
Kun Kuang
Yuxuan Liu
Long Chen
Chao-Xiang Wu
Leilei Gan
Jiaxun Lu
Yunfeng Shao
Jun Xiao
FedML
406
21
0
09 Nov 2021
Post-processing for Individual Fairness
Felix Petersen
Debarghya Mukherjee
Yuekai Sun
Mikhail Yurochkin
FaML
343
105
0
26 Oct 2021
A Sociotechnical View of Algorithmic Fairness
Information Systems Journal (ISJ), 2021
Mateusz Dolata
Stefan Feuerriegel
Gerhard Schwabe
FaML
236
139
0
27 Sep 2021
Individually Fair Gradient Boosting
International Conference on Learning Representations (ICLR), 2021
Alexander Vargo
Fan Zhang
Mikhail Yurochkin
Yuekai Sun
FaML
FedML
261
16
0
31 Mar 2021
Statistical inference for individual fairness
International Conference on Learning Representations (ICLR), 2021
Subha Maity
Songkai Xue
Mikhail Yurochkin
Yuekai Sun
FaML
216
21
0
30 Mar 2021
1
2
Next
Page 1 of 2
