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2002.05474
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Metric-Free Individual Fairness in Online Learning
Neural Information Processing Systems (NeurIPS), 2020
13 February 2020
Yahav Bechavod
Christopher Jung
Zhiwei Steven Wu
FaML
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Papers citing
"Metric-Free Individual Fairness in Online Learning"
28 / 28 papers shown
Cost Efficient Fairness Audit Under Partial Feedback
Nirjhar Das
Mohit Sharma
Praharsh Nanavati
Kirankumar Shiragur
Amit Deshpande
MLAU
319
0
0
04 Oct 2025
Improving Recommendation Fairness via Graph Structure and Representation Augmentation
Tongxin Xu
Wenqiang Liu
Chenzhong Bin
Cihan Xiao
Zhixin Zeng
Tianlong Gu
154
0
0
27 Aug 2025
Long-Term Fairness Inquiries and Pursuits in Machine Learning: A Survey of Notions, Methods, and Challenges
Usman Gohar
Zeyu Tang
Jialu Wang
Kun Zhang
Peter Spirtes
Y. Liu
Lu Cheng
FaML
594
7
0
10 Jun 2024
On the Power of Randomization in Fair Classification and Representation
Sushant Agarwal
Amit Deshpande
FaML
304
5
0
05 Jun 2024
Enhancing Group Fairness in Online Settings Using Oblique Decision Forests
International Conference on Learning Representations (ICLR), 2023
Somnath Basu Roy Chowdhury
Nicholas Monath
Ahmad Beirami
Rahul Kidambi
Kumar Avinava Dubey
Amr Ahmed
Snigdha Chaturvedi
442
3
0
17 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
316
24
0
29 Sep 2023
BanditQ: Fair Bandits with Guaranteed Rewards
Conference on Uncertainty in Artificial Intelligence (UAI), 2023
Abhishek Sinha
FaML
296
6
0
11 Apr 2023
Preventing Discriminatory Decision-making in Evolving Data Streams
Conference on Fairness, Accountability and Transparency (FAccT), 2023
Sribala Vidyadhari Chinta
N. Saxena
Tongjia Yu
Sneha Karki
Tyler Zetty
...
Shanlin Zhou
Dukka B Kc
I. Stockwell
Nikolaos Perrakis
Wenbin Zhang
FaML
362
32
0
16 Feb 2023
Matrix Estimation for Individual Fairness
International Conference on Machine Learning (ICML), 2023
Cindy Y. Zhang
Sarah H. Cen
Devavrat Shah
FaML
464
4
0
04 Feb 2023
Fairness and Accuracy under Domain Generalization
International Conference on Learning Representations (ICLR), 2023
Thai-Hoang Pham
Xueru Zhang
Ping Zhang
299
36
0
30 Jan 2023
Fair Decision-making Under Uncertainty
Industrial Conference on Data Mining (IDM), 2021
Wenbin Zhang
Jeremy C. Weiss
307
46
0
29 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
323
7
0
20 Dec 2022
Manifestations of Xenophobia in AI Systems
Ai & Society (AS), 2022
Nenad Tomašev
J. L. Maynard
Iason Gabriel
447
11
0
15 Dec 2022
Identifying, measuring, and mitigating individual unfairness for supervised learning models and application to credit risk models
Rasoul Shahsavarifar
Jithu Chandran
M. Inchiosa
A. Deshpande
Mario Schlener
V. Gossain
Yara Elias
Vinaya Murali
FaML
145
1
0
11 Nov 2022
FEAMOE: Fair, Explainable and Adaptive Mixture of Experts
International Joint Conference on Artificial Intelligence (IJCAI), 2022
Sanjay Kariyappa
Jette Henderson
Joydeep Ghosh
FedML
MoE
179
6
0
10 Oct 2022
Doubly Fair Dynamic Pricing
International Conference on Artificial Intelligence and Statistics (AISTATS), 2022
Jianyu Xu
Dan Qiao
Yu Wang
319
11
0
23 Sep 2022
Individually Fair Learning with One-Sided Feedback
International Conference on Machine Learning (ICML), 2022
Yahav Bechavod
Aaron Roth
FaML
251
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
505
39
0
08 Jun 2022
What Is Fairness? On the Role of Protected Attributes and Fictitious Worlds
Ludwig Bothmann
Kristina Peters
B. Bischl
361
9
0
19 May 2022
Imagining new futures beyond predictive systems in child welfare: A qualitative study with impacted stakeholders
Conference on Fairness, Accountability and Transparency (FAccT), 2022
Logan Stapleton
Min Hun Lee
Diana Qing
Mary-Frances Wright
Alexandra Chouldechova
Kenneth Holstein
Zhiwei Steven Wu
Haiyi Zhu
222
65
0
18 May 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
189
26
0
18 May 2022
Robust No-Regret Learning in Min-Max Stackelberg Games
Adaptive Agents and Multi-Agent Systems (AAMAS), 2022
Denizalp Goktas
Jiayi Zhao
Amy Greenwald
367
13
0
26 Mar 2022
Learning to Predict Trustworthiness with Steep Slope Loss
Yan Luo
Yongkang Wong
Mohan S. Kankanhalli
Qi Zhao
277
15
0
30 Sep 2021
A Sociotechnical View of Algorithmic Fairness
Information Systems Journal (ISJ), 2021
Mateusz Dolata
Stefan Feuerriegel
Gerhard Schwabe
FaML
229
135
0
27 Sep 2021
Soliciting Stakeholders' Fairness Notions in Child Maltreatment Predictive Systems
International Conference on Human Factors in Computing Systems (CHI), 2021
H. Cheng
Logan Stapleton
Ruiqi Wang
Paige E Bullock
Alexandra Chouldechova
Zhiwei Steven Wu
Haiyi Zhu
FaML
167
80
0
01 Feb 2021
Metric-Free Individual Fairness with Cooperative Contextual Bandits
Industrial Conference on Data Mining (IDM), 2020
Qian Hu
Huzefa Rangwala
FaML
237
11
0
13 Nov 2020
Sample Complexity of Uniform Convergence for Multicalibration
Neural Information Processing Systems (NeurIPS), 2020
Eliran Shabat
Lee Cohen
Yishay Mansour
FaML
229
30
0
04 May 2020
Individual Fairness in Hindsight
Swati Gupta
Vijay Kamble
FaML
270
66
0
10 Dec 2018
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