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2002.09343
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Robust Optimization for Fairness with Noisy Protected Groups
Neural Information Processing Systems (NeurIPS), 2020
21 February 2020
S. Wang
Wenshuo Guo
Harikrishna Narasimhan
Andrew Cotter
Maya R. Gupta
Sai Li
NoLa
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Papers citing
"Robust Optimization for Fairness with Noisy Protected Groups"
50 / 83 papers shown
Accurate Target Privacy Preserving Federated Learning Balancing Fairness and Utility
Kangkang Sun
Jun Wu
Minyi Guo
Jianhua Li
Jianwei Huang
FedML
237
0
0
30 Oct 2025
Quantifying Query Fairness Under Unawareness
Thomas Jaenich
Alejandro Moreo
Alessandro Fabris
Graham McDonald
Andrea Esuli
Iadh Ounis
Fabrizio Sebastiani
281
2
0
04 Jun 2025
Subgroups Matter for Robust Bias Mitigation
A. Alloula
Charles Jones
Ben Glocker
Bartłomiej W. Papież
472
1
0
27 May 2025
Preserving AUC Fairness in Learning with Noisy Protected Groups
Mingyang Wu
Li Lin
Wenbin Zhang
Xin Wang
Zhenhuan Yang
Shu Hu
NoLa
482
6
0
24 May 2025
Learning With Multi-Group Guarantees For Clusterable Subpopulations
Jessica Dai
Nika Haghtalab
Eric Zhao
332
3
0
18 Oct 2024
Outlier Detection Bias Busted: Understanding Sources of Algorithmic Bias through Data-centric Factors
AAAI/ACM Conference on AI, Ethics, and Society (AIES), 2024
Xueying Ding
Rui Xi
Leman Akoglu
FaML
245
5
0
24 Aug 2024
Fair Clustering: Critique, Caveats, and Future Directions
John Dickerson
Seyed-Alireza Esmaeili
Jamie Morgenstern
Claire Jie Zhang
FaML
234
3
0
22 Jun 2024
AIM: Attributing, Interpreting, Mitigating Data Unfairness
Zhining Liu
Ruizhong Qiu
Zhichen Zeng
Yada Zhu
Hendrik Hamann
Hanghang Tong
FaML
453
12
0
13 Jun 2024
Robust Fair Clustering with Group Membership Uncertainty Sets
Sharmila Duppala
Juan Luque
John P. Dickerson
Seyed-Alireza Esmaeili
FaML
362
1
0
02 Jun 2024
The Role of Learning Algorithms in Collective Action
Omri Ben-Dov
Jake Fawkes
Samira Samadi
Amartya Sanyal
280
10
0
10 May 2024
Fair Recommendations with Limited Sensitive Attributes: A Distributionally Robust Optimization Approach
Tianhao Shi
Yang Zhang
Jizhi Zhang
Fuli Feng
Xiangnan He
301
9
0
02 May 2024
Fairness in Ranking: Robustness through Randomization without the Protected Attribute
Andrii Kliachkin
Eleni Psaroudaki
Jakub Marecek
Eleni Psaroudaki
253
4
0
28 Mar 2024
Specification Overfitting in Artificial Intelligence
Artificial Intelligence Review (Artif Intell Rev), 2024
Benjamin Roth
Pedro Henrique Luz de Araujo
Yuxi Xia
Saskia Kaltenbrunner
Christoph Korab
672
15
0
13 Mar 2024
On the Inductive Biases of Demographic Parity-based Fair Learning Algorithms
Haoyu Lei
Amin Gohari
Farzan Farnia
FaML
364
3
0
28 Feb 2024
Fairness Risks for Group-conditionally Missing Demographics
Kaiqi Jiang
Wenzhe Fan
Mao Li
Xinhua Zhang
504
0
0
20 Feb 2024
Fair Classification with Partial Feedback: An Exploration-Based Data Collection Approach
Vijay Keswani
Anay Mehrotra
L. E. Celis
FaML
325
3
0
17 Feb 2024
A Distributionally Robust Optimisation Approach to Fair Credit Scoring
Pablo Casas
Christophe Mues
Huan Yu
300
3
0
02 Feb 2024
f-FERM: A Scalable Framework for Robust Fair Empirical Risk Minimization
International Conference on Learning Representations (ICLR), 2023
Sina Baharlouei
Shivam Patel
Meisam Razaviyayn
466
4
0
06 Dec 2023
Toward the Tradeoffs between Privacy, Fairness and Utility in Federated Learning
International Symposium on Emerging Information Security and Applications (EISA), 2023
Kangkang Sun
Xiaojin Zhang
Xi Lin
Gaolei Li
Jing Wang
Jianhua Li
193
8
0
30 Nov 2023
On the Fairness ROAD: Robust Optimization for Adversarial Debiasing
International Conference on Learning Representations (ICLR), 2023
Vincent Grari
Thibault Laugel
Tatsunori Hashimoto
Sylvain Lamprier
Marcin Detyniecki
364
6
0
27 Oct 2023
Group-blind optimal transport to group parity and its constrained variants
Quan-Gen Zhou
Georgios Korpas
280
3
0
17 Oct 2023
Estimating and Implementing Conventional Fairness Metrics With Probabilistic Protected Features
Hadi Elzayn
Emily Black
Patrick Vossler
Nathanael Jo
Jacob Goldin
Daniel E. Ho
199
7
0
02 Oct 2023
Distributionally Robust Cross Subject EEG Decoding
European Conference on Artificial Intelligence (ECAI), 2023
Tiehang Duan
Zhenyi Wang
Gianfranco Doretto
Fang Li
Cui Tao
Don Adjeroh
188
4
0
19 Aug 2023
Fairness Under Demographic Scarce Regime
Patrik Kenfack
Samira Ebrahimi Kahou
Ulrich Aïvodji
270
7
0
24 Jul 2023
When Fair Classification Meets Noisy Protected Attributes
AAAI/ACM Conference on AI, Ethics, and Society (AIES), 2023
Avijit Ghosh
Pablo Kvitca
Chris L. Wilson
FaML
312
10
0
06 Jul 2023
Privacy and Fairness in Federated Learning: on the Perspective of Trade-off
ACM Computing Surveys (ACM Comput. Surv.), 2023
Huiqiang Chen
Tianqing Zhu
Tao Zhang
Wanlei Zhou
Philip S. Yu
FedML
332
84
0
25 Jun 2023
Sampling Individually-Fair Rankings that are Always Group Fair
AAAI/ACM Conference on AI, Ethics, and Society (AIES), 2023
Sruthi Gorantla
Anay Mehrotra
Amit Deshpande
Anand Louis
FedML
FaML
216
4
0
21 Jun 2023
Towards Fairness in Personalized Ads Using Impression Variance Aware Reinforcement Learning
Knowledge Discovery and Data Mining (KDD), 2023
A. Timmaraju
M. Mashayekhi
Mingliang Chen
Qinya Zeng
Quintin Fettes
...
M. Kannadasan
Pushkar Tripathi
Sean M. Gahagan
Miranda Boge
Rob Roudani
179
12
0
05 Jun 2023
FairDP: Certified Fairness with Differential Privacy
K. Tran
Ferdinando Fioretto
Issa M. Khalil
My T. Thai
Nhathai Phan
355
0
0
25 May 2023
Robust probabilistic inference via a constrained transport metric
Abhisek Chakraborty
A. Bhattacharya
D. Pati
320
4
0
17 Mar 2023
Re-weighting Based Group Fairness Regularization via Classwise Robust Optimization
International Conference on Learning Representations (ICLR), 2023
Sangwon Jung
Taeeon Park
Sanghyuk Chun
Taesup Moon
235
26
0
01 Mar 2023
Group Fairness with Uncertainty in Sensitive Attributes
Abhin Shah
Maohao Shen
J. Jon Ryu
Subhro Das
P. Sattigeri
Yuheng Bu
G. Wornell
FaML
303
5
0
16 Feb 2023
Improving Fair Training under Correlation Shifts
International Conference on Machine Learning (ICML), 2023
Yuji Roh
Kangwook Lee
Steven Euijong Whang
Changho Suh
272
22
0
05 Feb 2023
Hyper-parameter Tuning for Fair Classification without Sensitive Attribute Access
A. Veldanda
Shubham Sharma
Sanghamitra Dutta
Alan Mishler
S. Garg
394
7
0
02 Feb 2023
Aleatoric and Epistemic Discrimination: Fundamental Limits of Fairness Interventions
Neural Information Processing Systems (NeurIPS), 2023
Hao Wang
Luxi He
Rui Gao
Flavio du Pin Calmon
331
21
0
27 Jan 2023
Fair Ranking with Noisy Protected Attributes
Neural Information Processing Systems (NeurIPS), 2022
Anay Mehrotra
Nisheeth K. Vishnoi
301
23
0
30 Nov 2022
A Survey on Preserving Fairness Guarantees in Changing Environments
Ainhize Barrainkua
Paula Gordaliza
Jose A. Lozano
Novi Quadrianto
FaML
440
3
0
14 Nov 2022
Towards Fair Classification against Poisoning Attacks
Han Xu
Xiaorui Liu
Yuxuan Wan
Shucheng Zhou
236
4
0
18 Oct 2022
A.I. Robustness: a Human-Centered Perspective on Technological Challenges and Opportunities
ACM Computing Surveys (ACM CSUR), 2022
Andrea Tocchetti
Lorenzo Corti
Agathe Balayn
Mireia Yurrita
Philip Lippmann
Marco Brambilla
Jie Yang
366
31
0
17 Oct 2022
COFFEE: Counterfactual Fairness for Personalized Text Generation in Explainable Recommendation
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Nan Wang
Qifan Wang
Yi-Chia Wang
Maziar Sanjabi
Jingzhou Liu
Hamed Firooz
Hongning Wang
Shaoliang Nie
414
8
0
14 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
384
27
0
06 Oct 2022
Fairness in Forecasting of Observations of Linear Dynamical Systems
Journal of Artificial Intelligence Research (JAIR), 2022
Quan Zhou
Jakub Mareˇcek
Robert Shorten
AI4TS
532
7
0
12 Sep 2022
When Fairness Meets Privacy: Fair Classification with Semi-Private Sensitive Attributes
Canyu Chen
Yueqing Liang
Xiongxiao Xu
Shangyu Xie
A. Kundu
Ali Payani
Yuan Hong
Kai Shu
238
9
0
18 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
423
256
0
14 Jul 2022
Input-agnostic Certified Group Fairness via Gaussian Parameter Smoothing
International Conference on Machine Learning (ICML), 2022
Jiayin Jin
Zeru Zhang
Yang Zhou
Lingfei Wu
208
17
0
22 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
505
39
0
08 Jun 2022
Fairness and Explainability in Automatic Decision-Making Systems. A challenge for computer science and law
EURO Journal on Decision Processes (EJDP), 2022
Thierry Kirat
Olivia Tambou
Virginie Do
A. Tsoukiás
FaML
198
27
0
14 May 2022
A Sandbox Tool to Bias(Stress)-Test Fairness Algorithms
Nil-Jana Akpinar
Manish Nagireddy
Logan Stapleton
H. Cheng
Haiyi Zhu
Steven Wu
Hoda Heidari
298
17
0
21 Apr 2022
Breaking Fair Binary Classification with Optimal Flipping Attacks
International Symposium on Information Theory (ISIT), 2022
Changhun Jo
Jy-yong Sohn
Kangwook Lee
FaML
227
7
0
12 Apr 2022
Distributionally Robust Optimization via Ball Oracle Acceleration
Neural Information Processing Systems (NeurIPS), 2022
Y. Carmon
Danielle Hausler
246
16
0
24 Mar 2022
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