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2010.04053
Cited By
Fairness in Machine Learning: A Survey
ACM Computing Surveys (ACM CSUR), 2020
4 October 2020
Simon Caton
C. Haas
FaML
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Papers citing
"Fairness in Machine Learning: A Survey"
50 / 315 papers shown
Aligning Model Properties via Conformal Risk Control
William Overman
Jacqueline Jil Vallon
Mohsen Bayati
192
7
0
26 Jun 2024
Efficient k-means with Individual Fairness via Exponential Tilting
Shengkun Zhu
Jinshan Zeng
Yuan Sun
Sheng Wang
Xiaodong Li
Zhiyong Peng
273
0
0
24 Jun 2024
Fair Streaming Feature Selection
Zhangling Duan
Tianci Li
Xingyu Wu
Zhaolong Ling
Jingye Yang
Zhaohong Jia
AI4TS
205
2
0
20 Jun 2024
On the Consistency of Fairness Measurement Methods for Regression Tasks
Abdalwahab Almajed
Maryam Tabar
Peyman Najafirad
189
2
0
19 Jun 2024
AIM: Attributing, Interpreting, Mitigating Data Unfairness
Zhining Liu
Ruizhong Qiu
Zhichen Zeng
Yada Zhu
Hendrik Hamann
Hanghang Tong
FaML
335
11
0
13 Jun 2024
Fairness-Aware Meta-Learning via Nash Bargaining
Yi Zeng
Xuelin Yang
Li Chen
Cristian Canton Ferrer
Ming Jin
Michael I. Jordan
Ruoxi Jia
251
5
0
11 Jun 2024
Memorization in deep learning: A survey
Jiaheng Wei
Yanjun Zhang
Leo Yu Zhang
Ming Ding
Chao Chen
Kok-Leong Ong
Jun Zhang
Yang Xiang
285
16
0
06 Jun 2024
Fairness-Optimized Synthetic EHR Generation for Arbitrary Downstream Predictive Tasks
Mirza Farhan Bin Tarek
Raphael Poulain
Rahmatollah Beheshti
SyDa
484
2
0
04 Jun 2024
Towards Trustworthy AI: A Review of Ethical and Robust Large Language Models
Meftahul Ferdaus
Mahdi Abdelguerfi
Elias Ioup
Kendall N. Niles
Ken Pathak
Steve Sloan
386
26
0
01 Jun 2024
FUGNN: Harmonizing Fairness and Utility in Graph Neural Networks
Renqiang Luo
Huafei Huang
Shuo Yu
Zhuoyang Han
Estrid He
Xiuzhen Zhang
Xiwei Xu
198
11
0
27 May 2024
Addressing Discretization-Induced Bias in Demographic Prediction
Evan Dong
Aaron Schein
Yixin Wang
Nikhil Garg
218
6
0
27 May 2024
Fair Generalized Linear Mixed Models
J. P. Burgard
Joao Vitor Pamplona
FaML
128
1
0
15 May 2024
Aequitas Flow: Streamlining Fair ML Experimentation
Sérgio Jesus
Pedro Saleiro
Ines Oliveira e Silva
Beatriz M. Jorge
Rita P. Ribeiro
João Gama
P. Bizarro
Rayid Ghani
143
8
0
09 May 2024
FairGT: A Fairness-aware Graph Transformer
Renqiang Luo
Huafei Huang
Shuo Yu
Xiuzhen Zhang
Xiwei Xu
273
20
0
26 Apr 2024
Inference-Time Rule Eraser: Fair Recognition via Distilling and Removing Biased Rules
Yi Zhang
Dongyuan Lu
Jitao Sang
FaML
338
2
0
07 Apr 2024
Learning Social Fairness Preferences from Non-Expert Stakeholder Opinions in Kidney Placement
ACM Conference on Health, Inference, and Learning (CHIL), 2024
Mukund Telukunta
Sukruth Rao
Gabriella Stickney
Venkata Sriram Siddhardh Nadendla
Casey Canfield
238
1
0
04 Apr 2024
Procedural Fairness in Machine Learning
Ziming Wang
Changwu Huang
Xin Yao
FaML
189
3
0
02 Apr 2024
Navigating Fairness: Practitioners' Understanding, Challenges, and Strategies in AI/ML Development
Aastha Pant
Rashina Hoda
Chakkrit Tantithamthavorn
Burak Turhan
229
6
0
21 Mar 2024
Optimal Transport for Fairness: Archival Data Repair using Small Research Data Sets
Abigail Langbridge
Anthony Quinn
Robert Shorten
189
5
0
20 Mar 2024
A Short Survey on Importance Weighting for Machine Learning
Masanari Kimura
H. Hino
247
11
0
15 Mar 2024
Bipartite Graph Variational Auto-Encoder with Fair Latent Representation to Account for Sampling Bias in Ecological Networks
Emré Anakok
Pierre Barbillon
Colin Fontaine
Elisa Thébault
CML
470
2
0
04 Mar 2024
Achievable Fairness on Your Data With Utility Guarantees
Muhammad Faaiz Taufiq
Jean-François Ton
Yang Liu
271
1
0
27 Feb 2024
Conformalized Selective Regression
Anna Sokol
Nuno Moniz
Nitesh Chawla
332
1
0
26 Feb 2024
Distribution-Free Fair Federated Learning with Small Samples
Qichuan Yin
Junzhou Huang
Huaxiu Yao
Linjun Zhang
FedML
347
1
0
25 Feb 2024
On Explaining Unfairness: An Overview
Christos Fragkathoulas
Vasiliki Papanikou
Danae Pla Karidi
E. Pitoura
XAI
FaML
203
5
0
16 Feb 2024
Connecting Algorithmic Fairness to Quality Dimensions in Machine Learning in Official Statistics and Survey Production
Patrick Oliver Schenk
Christoph Kern
FaML
276
4
0
14 Feb 2024
Stability and Multigroup Fairness in Ranking with Uncertain Predictions
Siddartha Devic
Aleksandra Korolova
David Kempe
Willie Neiswanger
234
8
0
14 Feb 2024
Fairness Auditing with Multi-Agent Collaboration
M. Vos
Akash Dhasade
Jade Garcia Bourrée
Anne-Marie Kermarrec
Erwan Le Merrer
Benoit Rottembourg
Gilles Tredan
MLAU
164
3
0
13 Feb 2024
Unveiling Group-Specific Distributed Concept Drift: A Fairness Imperative in Federated Learning
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2024
Teresa Salazar
Joao Gama
Helder Araújo
Pedro Abreu
FaML
FedML
330
7
0
12 Feb 2024
On the Impact of Output Perturbation on Fairness in Binary Linear Classification
Vitalii Emelianov
Michael Perrot
FaML
190
0
0
05 Feb 2024
A Personalized Framework for Consumer and Producer Group Fairness Optimization in Recommender Systems
Hossein A. Rahmani
Mohammadmehdi Naghiaei
Yashar Deldjoo
FaML
253
11
0
01 Feb 2024
Long-Term Fair Decision Making through Deep Generative Models
AAAI Conference on Artificial Intelligence (AAAI), 2024
Yaowei Hu
Yongkai Wu
Lu Zhang
FaML
215
4
0
20 Jan 2024
Beyond RMSE and MAE: Introducing EAUC to unmask hidden bias and unfairness in dyadic regression models
Jorge Paz-Ruza
Amparo Alonso-Betanzos
Bertha Guijarro-Berdiñas
Brais Cancela
Carlos Eiras-Franco
545
4
0
19 Jan 2024
Fairness Concerns in App Reviews: A Study on AI-based Mobile Apps
ACM Transactions on Software Engineering and Methodology (TOSEM), 2024
A. R. Nasab
Maedeh Dashti
Mojtaba Shahin
Mansooreh Zahedi
Hourieh Khalajzadeh
Chetan Arora
Peng Liang
293
10
0
16 Jan 2024
An investigation of structures responsible for gender bias in BERT and DistilBERT
International Symposium on Intelligent Data Analysis (IDA), 2024
Thibaud Leteno
Antoine Gourru
Charlotte Laclau
Christophe Gravier
180
7
0
12 Jan 2024
A Large-Scale Empirical Study on Improving the Fairness of Image Classification Models
International Symposium on Software Testing and Analysis (ISSTA), 2024
Junjie Yang
Jiajun Jiang
Zeyu Sun
Junjie Chen
305
9
0
08 Jan 2024
FairGridSearch: A Framework to Compare Fairness-Enhancing Models
Shih-Chi Ma
Tatiana Ermakova
Benjamin Fabian
FaML
180
2
0
04 Jan 2024
Fairness-Enhancing Vehicle Rebalancing in the Ride-hailing System
Xiaotong Guo
Hanyong Xu
Dingyi Zhuang
Yunhan Zheng
Jinhua Zhao
236
9
0
29 Dec 2023
SoK: Taming the Triangle -- On the Interplays between Fairness, Interpretability and Privacy in Machine Learning
Julien Ferry
Ulrich Aïvodji
Sébastien Gambs
Marie-José Huguet
Mohamed Siala
FaML
275
7
0
22 Dec 2023
Comprehensive Validation on Reweighting Samples for Bias Mitigation via AIF360
Christina Hastings Blow
Lijun Qian
Camille Gibson
Pamela Obiomon
Xishuang Dong
209
12
0
19 Dec 2023
Explain To Decide: A Human-Centric Review on the Role of Explainable Artificial Intelligence in AI-assisted Decision Making
Milad Rogha
174
1
0
11 Dec 2023
On The Fairness Impacts of Hardware Selection in Machine Learning
Sree Harsha Nelaturu
Nishaanth Kanna Ravichandran
Cuong Tran
Sara Hooker
Ferdinando Fioretto
293
5
0
06 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
Explaining Knock-on Effects of Bias Mitigation
Svetoslav Nizhnichenkov
Rahul Nair
Elizabeth M. Daly
Brian Mac Namee
121
0
0
01 Dec 2023
Fair Text Classification with Wasserstein Independence
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Thibaud Leteno
Antoine Gourru
Charlotte Laclau
Rémi Emonet
Christophe Gravier
FaML
239
5
0
21 Nov 2023
Fairness Hacking: The Malicious Practice of Shrouding Unfairness in Algorithms
Kristof Meding
Thilo Hagendorff
150
8
0
12 Nov 2023
Fair Supervised Learning with A Simple Random Sampler of Sensitive Attributes
International Conference on Artificial Intelligence and Statistics (AISTATS), 2023
Jinwon Sohn
Qifan Song
Guang Lin
FaML
328
2
0
10 Nov 2023
The Fairness Stitch: Unveiling the Potential of Model Stitching in Neural Network De-Biasing
Modar Sulaiman
Kallol Roy
218
0
0
06 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
395
39
0
30 Oct 2023
Group Robust Classification Without Any Group Information
Neural Information Processing Systems (NeurIPS), 2023
Christos Tsirigotis
João Monteiro
Pau Rodríguez
David Vazquez
Aaron Courville
OOD
264
25
0
28 Oct 2023
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