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1706.02409
Cited By
A Convex Framework for Fair Regression
7 June 2017
R. Berk
Hoda Heidari
S. Jabbari
Matthew Joseph
Michael Kearns
Jamie Morgenstern
Seth Neel
Aaron Roth
FaML
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Papers citing
"A Convex Framework for Fair Regression"
50 / 190 papers shown
FairMT: Fairness for Heterogeneous Multi-Task Learning
Guanyu Hu
Tangzheng Lian
Na Yan
D. Kollias
Xinyu Yang
Oya Celiktutan
Siyang Song
Zeyu Fu
122
0
0
29 Nov 2025
Measuring What Matters: Connecting AI Ethics Evaluations to System Attributes, Hazards, and Harms
Shalaleh Rismani
Renee Shelby
Leah Davis
Negar Rostamzadeh
AJung Moon
202
2
0
11 Oct 2025
Wasserstein projection distance for fairness testing of regression models
Wanxin Li
Yongjin P. Park
Khanh Dao Duc
127
0
0
05 Oct 2025
Machine Learning with Multitype Protected Attributes: Intersectional Fairness through Regularisation
Ho Ming Lee
Katrien Antonio
Benjamin Avanzi
Lorenzo Marchi
Rui Zhou
FaML
428
2
0
09 Sep 2025
The Statistical Fairness-Accuracy Frontier
Alireza Fallah
Michael I. Jordan
Annie Ulichney
150
2
0
25 Aug 2025
A Comprehensive Evaluation of the Sensitivity of Density-Ratio Estimation Based Fairness Measurement in Regression
Abdalwahab Almajed
Maryam Tabar
Peyman Najafirad
115
0
0
20 Aug 2025
Liouville PDE-based sliced-Wasserstein flow
Pilhwa Lee
Jayshawn Cooper
296
0
0
22 May 2025
Intersectional Divergence: Measuring Fairness in Regression
Joe Germino
Nuno Moniz
Nitesh Chawla
FaML
371
1
0
01 May 2025
Counterfactually Fair Reinforcement Learning via Sequential Data Preprocessing
Jitao Wang
C. Shi
John D. Piette
Joshua R. Loftus
Donglin Zeng
Zhenke Wu
OffRL
556
3
0
10 Jan 2025
AFed: Algorithmic Fair Federated Learning
IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2025
Huiqiang Chen
Tianqing Zhu
Wanlei Zhou
Wei Zhao
FedML
267
7
0
06 Jan 2025
Fair and Accurate Regression: Strong Formulations and Algorithms
Anna Deza
Andrés Gómez
Alper Atamturk
FaML
392
1
0
22 Dec 2024
On Socially Fair Low-Rank Approximation and Column Subset Selection
Neural Information Processing Systems (NeurIPS), 2024
Zhao Song
A. Vakilian
David P. Woodruff
Samson Zhou
280
5
0
08 Dec 2024
Improving LLM Group Fairness on Tabular Data via In-Context Learning
Valeriia Cherepanova
Chia-Jung Lee
Nil-Jana Akpinar
Riccardo Fogliato
Martín Bertrán
Michael Kearns
James Zou
LMTD
519
5
0
05 Dec 2024
A Human-in-the-Loop Fairness-Aware Model Selection Framework for Complex Fairness Objective Landscapes
AAAI/ACM Conference on AI, Ethics, and Society (AIES), 2024
Jake Robertson
Thorsten Schmidt
Katharina Eggensperger
Noor H. Awad
231
3
0
17 Oct 2024
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
Achieving Fairness Across Local and Global Models in Federated Learning
Disha Makhija
Xing Han
Joydeep Ghosh
Yejin Kim
FedML
322
10
0
24 Jun 2024
Deconstructing The Ethics of Large Language Models from Long-standing Issues to New-emerging Dilemmas
Chengyuan Deng
Yiqun Duan
Xin Jin
Heng Chang
Yijun Tian
...
Kuofeng Gao
Sihong He
Jun Zhuang
Lu Cheng
Haohan Wang
AILaw
351
28
0
08 Jun 2024
Improving the Fairness of Deep-Learning, Short-term Crime Prediction with Under-reporting-aware Models
Jiahui Wu
Vanessa Frias-Martinez
190
1
0
06 Jun 2024
Fairness-Optimized Synthetic EHR Generation for Arbitrary Downstream Predictive Tasks
Mirza Farhan Bin Tarek
Raphael Poulain
Rahmatollah Beheshti
SyDa
545
4
0
04 Jun 2024
Exploring Fairness in Educational Data Mining in the Context of the Right to be Forgotten
Wei Qian
Aobo Chen
Chenxu Zhao
Yangyi Li
Mengdi Huai
MU
424
3
0
27 May 2024
A Neurosymbolic Framework for Bias Correction in CNNs
Parth Padalkar
Natalia Slusarz
Ekaterina Komendantskaya
Gopal Gupta
324
0
0
24 May 2024
Perceptual Fairness in Image Restoration
Guy Ohayon
Michael Elad
T. Michaeli
SupR
252
4
0
22 May 2024
DemOpts: Fairness corrections in COVID-19 case prediction models
N. Awasthi
S. Abrar
Daniel Smolyak
Vanessa Frias-Martinez
213
0
0
15 May 2024
Fair Generalized Linear Mixed Models
J. P. Burgard
Joao Vitor Pamplona
FaML
163
1
0
15 May 2024
Fairness in Reinforcement Learning: A Survey
Anka Reuel
Devin Ma
OffRL
FaML
336
16
0
11 May 2024
The Role of Learning Algorithms in Collective Action
Omri Ben-Dov
Jake Fawkes
Samira Samadi
Amartya Sanyal
288
10
0
10 May 2024
Fair Mixed Effects Support Vector Machine
Joao Vitor Pamplona
J. P. Burgard
FaML
252
3
0
10 May 2024
Generalizing Orthogonalization for Models with Non-Linearities
International Conference on Machine Learning (ICML), 2024
David Rügamer
Chris Kolb
Tobias Weber
Lucas Kook
Thomas Nagler
322
2
0
03 May 2024
The Pursuit of Fairness in Artificial Intelligence Models: A Survey
Tahsin Alamgir Kheya
Mohamed Reda Bouadjenek
Sunil Aryal
499
24
0
26 Mar 2024
Counterfactual Fairness through Transforming Data Orthogonal to Bias
Shuyi Chen
Shixiang Zhu
FaML
478
3
0
26 Mar 2024
Fair Multivariate Adaptive Regression Splines for Ensuring Equity and Transparency
Parian Haghighat
Denisa Gándara
Lulu Kang
Hadis Anahideh
197
0
0
23 Feb 2024
On the (In)Compatibility between Group Fairness and Individual Fairness
Shizhou Xu
Thomas Strohmer
FaML
219
8
0
13 Jan 2024
Learning Fair Policies for Multi-stage Selection Problems from Observational Data
Zhuangzhuang Jia
G. A. Hanasusanto
P. Vayanos
Weijun Xie
FaML
302
4
0
20 Dec 2023
Curated LLM: Synergy of LLMs and Data Curation for tabular augmentation in low-data regimes
Nabeel Seedat
Nicolas Huynh
B. V. Breugel
M. Schaar
438
57
0
19 Dec 2023
Survey on AI Ethics: A Socio-technical Perspective
International Conference on Climate Informatics (ICCI), 2023
Dave Mbiazi
Meghana Bhange
Maryam Babaei
Ivaxi Sheth
Patrik Kenfack
Samira Ebrahimi Kahou
471
11
0
28 Nov 2023
Adversarial Reweighting Guided by Wasserstein Distance for Bias Mitigation
Xuan Zhao
Simone Fabbrizzi
Paula Reyero Lobo
Siamak Ghodsi
Klaus Broelemann
Steffen Staab
Gjergji Kasneci
276
2
0
21 Nov 2023
Measuring and Mitigating Biases in Motor Insurance Pricing
European Actuarial Journal (EAJ), 2023
Mulah Moriah
Franck Vermet
Arthur Charpentier
352
2
0
20 Nov 2023
Causal Fairness-Guided Dataset Reweighting using Neural Networks
Xuan Zhao
Klaus Broelemann
Salvatore Ruggieri
Gjergji Kasneci
259
1
0
17 Nov 2023
Unmasking Bias in AI: A Systematic Review of Bias Detection and Mitigation Strategies in Electronic Health Record-based Models
Feng Chen
Liqin Wang
Julie Hong
Jiaqi Jiang
Li Zhou
479
39
0
30 Oct 2023
fairret: a Framework for Differentiable Fairness Regularization Terms
International Conference on Learning Representations (ICLR), 2023
Maarten Buyl
Marybeth Defrance
T. D. Bie
FedML
307
8
0
26 Oct 2023
Understanding Fairness Surrogate Functions in Algorithmic Fairness
Wei Yao
Zhanke Zhou
Zhicong Li
Bo Han
Yong Liu
484
8
0
17 Oct 2023
Using Property Elicitation to Understand the Impacts of Fairness Regularizers
Conference on Fairness, Accountability and Transparency (FAccT), 2023
Jessie Finocchiaro
FaML
285
0
0
20 Sep 2023
Boosting Fair Classifier Generalization through Adaptive Priority Reweighing
ACM Transactions on Knowledge Discovery from Data (TKDD), 2023
Zhihao Hu
Yiran Xu
Mengnan Du
Jindong Gu
Xinmei Tian
Fengxiang He
415
2
0
15 Sep 2023
iBARLE: imBalance-Aware Room Layout Estimation
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
Taotao Jing
Lichen Wang
Naji Khosravan
Zhiqiang Wan
Zachary Bessinger
Zhengming Ding
S. B. Kang
477
2
0
29 Aug 2023
Fair Few-shot Learning with Auxiliary Sets
European Conference on Artificial Intelligence (ECAI), 2023
Song Wang
Jing Ma
Lu Cheng
Jundong Li
192
4
0
28 Aug 2023
Fair Machine Unlearning: Data Removal while Mitigating Disparities
International Conference on Artificial Intelligence and Statistics (AISTATS), 2023
Alexander X. Oesterling
Jiaqi Ma
Flavio du Pin Calmon
Hima Lakkaraju
FaML
MU
282
30
0
27 Jul 2023
Towards A Scalable Solution for Improving Multi-Group Fairness in Compositional Classification
James Atwood
Tina Tian
Ben Packer
Meghana Deodhar
Jilin Chen
Alex Beutel
Flavien Prost
Ahmad Beirami
FaML
248
2
0
11 Jul 2023
Towards Assumption-free Bias Mitigation
Chia-Yuan Chang
Yu-Neng Chuang
Kwei-Herng Lai
Xiaotian Han
Helen Zhou
Na Zou
229
4
0
09 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
338
84
0
25 Jun 2023
The Flawed Foundations of Fair Machine Learning
R. Poe
Soumia Zohra El Mestari
FaML
218
1
0
02 Jun 2023
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