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1806.06055
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Classification with Fairness Constraints: A Meta-Algorithm with Provable Guarantees
15 June 2018
L. E. Celis
Lingxiao Huang
Vijay Keswani
Nisheeth K. Vishnoi
FaML
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Papers citing
"Classification with Fairness Constraints: A Meta-Algorithm with Provable Guarantees"
50 / 189 papers shown
Bias Begins with Data: The FairGround Corpus for Robust and Reproducible Research on Algorithmic Fairness
Jan Simson
Alessandro Fabris
Cosima Fröhner
Frauke Kreuter
Christoph Kern
115
0
0
25 Oct 2025
Fair Classification by Direct Intervention on Operating Characteristics
Kevin Jiang
Edgar Dobriban
FaML
209
0
0
29 Sep 2025
"I think this is fair'': Uncovering the Complexities of Stakeholder Decision-Making in AI Fairness Assessment
Lin Luo
Yuri Nakao
Mathieu Chollet
Hiroya Inakoshi
Simone Stumpf
92
0
0
22 Sep 2025
VORTEX: Aligning Task Utility and Human Preferences through LLM-Guided Reward Shaping
Guojun Xiong
Milind Tambe
156
2
0
19 Sep 2025
Controllable Pareto Trade-off between Fairness and Accuracy
Yongkang Du
Jieyu Zhao
Yijun Yang
Tianyi Zhou
116
0
0
17 Sep 2025
APFEx: Adaptive Pareto Front Explorer for Intersectional Fairness
Priyobrata Mondal
Faizanuddin Ansari
Swagatam Das
131
0
0
17 Sep 2025
Optimizing Health Coverage in Ethiopia: A Learning-augmented Approach and Persistent Proportionality Under an Online Budget
Davin Choo
Yohai Trabelsi
Fentabil Getnet
Samson Warkaye Lamma
Wondesen Nigatu
Kasahun Sime
Lisa Matay
Milind Tambe
Stéphane Verguet
96
1
0
29 Aug 2025
Applications and Challenges of Fairness APIs in Machine Learning Software
ACM Transactions on Software Engineering and Methodology (TOSEM), 2025
Ajoy Das
Gias Uddin
Shaiful Chowdhury
Mostafijur Rahman Akhond
Hadi Hemmati
FaML
196
0
0
22 Aug 2025
Fair for a few: Improving Fairness in Doubly Imbalanced Datasets
Ata Yalcin
Asli Umay Ozturk
Yigit Sever
Viktoria Pauw
Stephan Hachinger
Ismail Hakki Toroslu
Pinar Karagoz
FaML
172
0
0
17 Jun 2025
Fairness-in-the-Workflow: How Machine Learning Practitioners at Big Tech Companies Approach Fairness in Recommender Systems
Jing Nathan Yan
Emma Harvey
Junxiong Wang
Jeffrey M. Rzeszotarski
Allison Koenecke
FaML
290
0
0
26 May 2025
Fair Supervised Learning Through Constraints on Smooth Nonconvex Unfairness-Measure Surrogates
Zahra Khatti
Daniel P. Robinson
Frank E. Curtis
133
0
0
21 May 2025
A Design Framework for operationalizing Trustworthy Artificial Intelligence in Healthcare: Requirements, Tradeoffs and Challenges for its Clinical Adoption
Information Fusion (Inf. Fusion), 2025
Pedro A. Moreno-Sánchez
Javier Del Ser
Mark van Gils
Jussi Hernesniemi
114
2
0
27 Apr 2025
The more the merrier: logical and multistage processors in credit scoring
Arturo Pérez-Peralta
Sandra Benítez-Peña
Rosa E. Lillo
FaML
182
0
0
31 Mar 2025
FaiREE: Fair Classification with Finite-Sample and Distribution-Free Guarantee
International Conference on Learning Representations (ICLR), 2022
Puheng Li
James Zou
Linjun Zhang
FaML
827
5
0
13 Mar 2025
Fair Text Classification via Transferable Representations
Thibaud Leteno
Michael Perrot
Charlotte Laclau
Antoine Gourru
Christophe Gravier
FaML
433
0
0
10 Mar 2025
Mitigating Algorithmic Bias in Multiclass CNN Classifications Using Causal Modeling
Min Sik Byun
Wendy Hui
Wai Kwong Lau
CVBM
FaML
113
1
0
14 Jan 2025
Balancing the Scales: Enhancing Fairness in Facial Expression Recognition with Latent Alignment
S. A. Rizvi
Aryan Seth
Pratik Narang
191
1
0
25 Oct 2024
FAIREDU: A Multiple Regression-Based Method for Enhancing Fairness in Machine Learning Models for Educational Applications
Nga Pham
Minh Kha Do
Tran Vu Dai
Pham Ngoc Hung
Anh Nguyen-Duc
135
1
0
08 Oct 2024
Fairness-aware Multiobjective Evolutionary Learning
IEEE Transactions on Evolutionary Computation (IEEE Trans. Evol. Comput.), 2024
Qingquan Zhang
Jialin Liu
Xin Yao
174
1
0
27 Sep 2024
An Effective, Robust and Fairness-aware Hate Speech Detection Framework
Guanyi Mou
Kyumin Lee
288
3
0
25 Sep 2024
Centralized Selection with Preferences in the Presence of Biases
International Conference on Machine Learning (ICML), 2024
L. E. Celis
Amit Kumar
Nisheeth K. Vishnoi
Andrew Xu
172
0
0
07 Sep 2024
A Catalog of Fairness-Aware Practices in Machine Learning Engineering
Gianmario Voria
Giulia Sellitto
Carmine Ferrara
Francesco Abate
A. Lucia
F. Ferrucci
Gemma Catolino
Fabio Palomba
FaML
262
5
0
29 Aug 2024
Fairness-Aware Streaming Feature Selection with Causal Graphs
IEEE International Conference on Systems, Man and Cybernetics (SMC), 2024
Leizhen Zhang
Lusi Li
Di Wu
Sheng Chen
Yi He
188
7
0
17 Aug 2024
FairJob: A Real-World Dataset for Fairness in Online Systems
Mariia Vladimirova
Federico Pavone
Eustache Diemert
317
6
0
03 Jul 2024
Cherry on the Cake: Fairness is NOT an Optimization Problem
Marco Favier
T. Calders
155
3
0
24 Jun 2024
On the Power of Randomization in Fair Classification and Representation
Sushant Agarwal
Amit Deshpande
FaML
241
5
0
05 Jun 2024
Algorithmic Fairness in Performative Policy Learning: Escaping the Impossibility of Group Fairness
Seamus Somerstep
Yaácov Ritov
Yuekai Sun
FaML
244
7
0
30 May 2024
De-Biasing Models of Biased Decisions: A Comparison of Methods Using Mortgage Application Data
Nicholas Tenev
258
0
0
01 May 2024
Balancing Fairness and Accuracy in Data-Restricted Binary Classification
ACM Transactions on Knowledge Discovery from Data (TKDD), 2024
Zachary McBride Lazri
Danial Dervovic
Antigoni Polychroniadou
Shubham Sharma
Dana Dachman-Soled
Min Wu
FaML
183
0
0
12 Mar 2024
Achievable Fairness on Your Data With Utility Guarantees
Muhammad Faaiz Taufiq
Jean-François Ton
Yang Liu
267
1
0
27 Feb 2024
Fair Classification with Partial Feedback: An Exploration-Based Data Collection Approach
Vijay Keswani
Anay Mehrotra
L. E. Celis
FaML
249
3
0
17 Feb 2024
InSaAF: Incorporating Safety through Accuracy and Fairness | Are LLMs ready for the Indian Legal Domain?
Yogesh Tripathi
Raghav Donakanti
Sahil Girhepuje
Ishan Kavathekar
Bhaskara Hanuma Vedula
Gokul S Krishnan
Shreya Goyal
Anmol Goel
Balaraman Ravindran
Ponnurangam Kumaraguru
ALM
AILaw
ELM
413
3
0
16 Feb 2024
Reranking individuals: The effect of fair classification within-groups
S. Goethals
T. Calders
FaML
255
1
0
24 Jan 2024
Mitigating Nonlinear Algorithmic Bias in Binary Classification
Conference on Algebraic Informatics (CAI), 2023
Wendy Hui
Wai Kwong Lau
FaML
266
2
0
09 Dec 2023
FRAPPE: A Group Fairness Framework for Post-Processing Everything
International Conference on Machine Learning (ICML), 2023
Alexandru Tifrea
Preethi Lahoti
Ben Packer
Yoni Halpern
Ahmad Beirami
Flavien Prost
372
13
0
05 Dec 2023
fairret: a Framework for Differentiable Fairness Regularization Terms
International Conference on Learning Representations (ICLR), 2023
Maarten Buyl
Marybeth Defrance
T. D. Bie
FedML
258
8
0
26 Oct 2023
Consistent End-to-End Estimation for Counterfactual Fairness
Yuchen Ma
Dennis Frauen
Valentyn Melnychuk
Stefan Feuerriegel
250
3
0
26 Oct 2023
Federated Learning with Convex Global and Local Constraints
Chuan He
Le Peng
Ju Sun
FedML
306
2
0
16 Oct 2023
Fairness under Covariate Shift: Improving Fairness-Accuracy tradeoff with few Unlabeled Test Samples
AAAI Conference on Artificial Intelligence (AAAI), 2023
Shreyas Havaldar
Jatin Chauhan
Karthikeyan Shanmugam
Jay Nandy
A. Raghuveer
430
2
0
11 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
273
22
0
29 Sep 2023
Toward responsible face datasets: modeling the distribution of a disentangled latent space for sampling face images from demographic groups
Parsa Rahimi
Christophe Ecabert
S´ebastien Marcel
CVBM
342
7
0
15 Sep 2023
Fairness Improvement with Multiple Protected Attributes: How Far Are We?
International Conference on Software Engineering (ICSE), 2023
Zhenpeng Chen
Jie M. Zhang
Federica Sarro
Mark Harman
FaML
232
17
0
25 Jul 2023
The Effects of Mixed Sample Data Augmentation are Class Dependent
Haeil Lee
Han S. Lee
Junmo Kim
295
1
0
18 Jul 2023
Through the Fairness Lens: Experimental Analysis and Evaluation of Entity Matching
Proceedings of the VLDB Endowment (PVLDB), 2023
N. Shahbazi
Nikola Danevski
F. Nargesian
Abolfazl Asudeh
D. Srivastava
133
19
0
06 Jul 2023
Fix Fairness, Don't Ruin Accuracy: Performance Aware Fairness Repair using AutoML
Giang Nguyen
Sumon Biswas
Hridesh Rajan
FaML
336
19
0
15 Jun 2023
Compatibility of Fairness Metrics with EU Non-Discrimination Laws: Demographic Parity & Conditional Demographic Disparity
Lisa Koutsoviti Koumeri
Magali Legast
Yasaman Yousefi
K. Vanhoof
Axel Legay
Christoph Schommer
FaML
134
6
0
14 Jun 2023
Unprocessing Seven Years of Algorithmic Fairness
International Conference on Learning Representations (ICLR), 2023
André F. Cruz
Moritz Hardt
332
18
0
12 Jun 2023
Adapting Fairness Interventions to Missing Values
Neural Information Processing Systems (NeurIPS), 2023
R. Feng
Flavio du Pin Calmon
Hao Wang
FaML
177
16
0
30 May 2023
FRAMM: Fair Ranking with Missing Modalities for Clinical Trial Site Selection
B. Theodorou
Lucas Glass
Cao Xiao
Jimeng Sun
162
12
0
30 May 2023
WEIRD FAccTs: How Western, Educated, Industrialized, Rich, and Democratic is FAccT?
Conference on Fairness, Accountability and Transparency (FAccT), 2023
Ali Akbar Septiandri
Marios Constantinides
Mohammad Tahaei
Daniele Quercia
270
52
0
10 May 2023
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