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2011.01821
Cited By
Minimax Pareto Fairness: A Multi Objective Perspective
3 November 2020
Natalia Martínez
Martín Bertrán
Guillermo Sapiro
FaML
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Papers citing
"Minimax Pareto Fairness: A Multi Objective Perspective"
50 / 133 papers shown
Accurate Target Privacy Preserving Federated Learning Balancing Fairness and Utility
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Jun Wu
Minyi Guo
Jianhua Li
Jianwei Huang
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237
0
0
30 Oct 2025
What Is The Performance Ceiling of My Classifier? Utilizing Category-Wise Influence Functions for Pareto Frontier Analysis
Shahriar Kabir Nahin
Wenxiao Xiao
Joshua Liu
Anshuman Chhabra
Hongfu Liu
TDI
289
0
0
04 Oct 2025
APFEx: Adaptive Pareto Front Explorer for Intersectional Fairness
Priyobrata Mondal
Faizanuddin Ansari
Swagatam Das
195
0
0
17 Sep 2025
Revisiting (Un)Fairness in Recourse by Minimizing Worst-Case Social Burden
Ainhize Barrainkua
Giovanni De Toni
Jose A. Lozano
Novi Quadrianto
FaML
511
0
0
04 Sep 2025
The Statistical Fairness-Accuracy Frontier
Alireza Fallah
Michael I. Jordan
Annie Ulichney
142
2
0
25 Aug 2025
A Framework for Benchmarking Fairness-Utility Trade-offs in Text-to-Image Models via Pareto Frontiers
Marco N. Bochernitsan
Rodrigo C. Barros
L. S. Kupssinskü
EGVM
215
0
0
22 Aug 2025
FairPOT: Balancing AUC Performance and Fairness with Proportional Optimal Transport
Pengxi Liu
Yi Shen
Matthew M. Engelhard
Benjamin A. Goldstein
Michael J. Pencina
Nicoleta J. Economou-Zavlanos
Michael M. Zavlanos
199
0
0
05 Aug 2025
SIFOTL: A Principled, Statistically-Informed Fidelity-Optimization Method for Tabular Learning
Shubham Mohole
Sainyam Galhotra
248
1
0
23 Jul 2025
Critical Appraisal of Fairness Metrics in Clinical Predictive AI
João Matos
Ben Van Calster
Leo Anthony Celi
Paula Dhiman
J. Gichoya
R. Riley
Chris Russell
Sara Khalid
Gary S. Collins
235
3
0
20 Jun 2025
Fair Supervised Learning Through Constraints on Smooth Nonconvex Unfairness-Measure Surrogates
Zahra Khatti
Daniel P. Robinson
Frank E. Curtis
181
0
0
21 May 2025
M
2
^2
2
FGB: A Min-Max Gradient Boosting Framework for Subgroup Fairness
Conference on Fairness, Accountability and Transparency (FAccT), 2025
Jansen S. B. Pereira
Giovani Valdrighi
Marcos Medeiros Raimundo
FaML
395
0
0
16 Apr 2025
RESFL: An Uncertainty-Aware Framework for Responsible Federated Learning by Balancing Privacy, Fairness and Utility in Autonomous Vehicles
Dawood Wasif
T. Moore
Jin-Hee Cho
283
1
0
20 Mar 2025
pFedFair: Towards Optimal Group Fairness-Accuracy Trade-off in Heterogeneous Federated Learning
Haoyu Lei
Shizhan Gong
Qi Dou
Farzan Farnia
FedML
342
2
0
19 Mar 2025
Gradient-Based Multi-Objective Deep Learning: Algorithms, Theories, Applications, and Beyond
Weiyu Chen
Xiaoyuan Zhang
Xiaoyuan Zhang
Xi Lin
Han Zhao
Gang Qu
James T. Kwok
522
23
0
19 Jan 2025
On Calibration in Multi-Distribution Learning
Conference on Fairness, Accountability and Transparency (FAccT), 2024
Rajeev Verma
Volker Fischer
Eric Nalisnick
309
1
0
18 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
513
5
0
05 Dec 2024
FERERO: A Flexible Framework for Preference-Guided Multi-Objective Learning
Neural Information Processing Systems (NeurIPS), 2024
Lisha Chen
A. F. M. Saif
Yanning Shen
Tianyi Chen
352
5
0
02 Dec 2024
Alpha and Prejudice: Improving
α
α
α
-sized Worst-case Fairness via Intrinsic Reweighting
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2024
Jing Li
Yinghua Yao
Yuangang Pan
Xuanqian Wang
Ivor Tsang
Xiuju Fu
FaML
346
0
0
05 Nov 2024
Towards Harmless Rawlsian Fairness Regardless of Demographic Prior
Neural Information Processing Systems (NeurIPS), 2024
Xuanqian Wang
Jing Li
Ivor Tsang
Yew-Soon Ong
426
2
0
04 Nov 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
225
3
0
17 Oct 2024
Rethinking Fair Representation Learning for Performance-Sensitive Tasks
International Conference on Learning Representations (ICLR), 2024
Charles Jones
Fabio De Sousa Ribeiro
Mélanie Roschewitz
Daniel Coelho De Castro
Ben Glocker
FaML
OOD
CML
709
7
0
05 Oct 2024
Minimax Group Fairness in Strategic Classification
Emily Diana
Saeed Sharifi-Malvajerdi
A. Vakilian
FaML
329
3
0
03 Oct 2024
Best Practices for Responsible Machine Learning in Credit Scoring
Giovani Valdrighi
Athyrson M. Ribeiro
Jansen S. B. Pereira
Vitoria Guardieiro
Arthur Hendricks
...
Juan David Nieto Garcia
Felipe F. Bocca
Thalita B. Veronese
Lucas Wanner
Marcos Medeiros Raimundo
FaML
325
7
0
30 Sep 2024
Aligning (Medical) LLMs for (Counterfactual) Fairness
Raphael Poulain
Hamed Fayyaz
Rahmatollah Beheshti
369
9
0
22 Aug 2024
A Self-Supervised Learning Pipeline for Demographically Fair Facial Attribute Classification
Sreeraj Ramachandran
A. Rattani
263
1
0
14 Jul 2024
Contribution Evaluation of Heterogeneous Participants in Federated Learning via Prototypical Representations
Qi Guo
Minghao Yao
Zhen Tian
Saiyu Qi
Yong Qi
Yun Lin
Jin Song Dong
243
5
0
02 Jul 2024
OxonFair: A Flexible Toolkit for Algorithmic Fairness
Eoin Delaney
Zihao Fu
Sandra Wachter
Brent Mittelstadt
Chris Russell
FaML
299
10
0
30 Jun 2024
Addressing Polarization and Unfairness in Performative Prediction
Kun Jin
Tian Xie
Yang Liu
Xueru Zhang
291
12
0
24 Jun 2024
Resource-constrained Fairness
Sofie Goethals
Eoin Delaney
Brent Mittelstadt
Christopher Russell
FaML
767
1
0
03 Jun 2024
FAIRM: Learning invariant representations for algorithmic fairness and domain generalization with minimax optimality
Sai Li
Linjun Zhang
OOD
FaML
269
1
0
02 Apr 2024
Smooth Tchebycheff Scalarization for Multi-Objective Optimization
Xi Lin
Xiao-Yan Zhang
Zhiyuan Yang
Fei Liu
Zhenkun Wang
Qingfu Zhang
421
42
0
29 Feb 2024
To Pool or Not To Pool: Analyzing the Regularizing Effects of Group-Fair Training on Shared Models
Cyrus Cousins
I. E. Kumar
Suresh Venkatasubramanian
FedML
251
2
0
29 Feb 2024
Multi-objective Differentiable Neural Architecture Search
R. Sukthanker
Arber Zela
B. Staffler
Samuel Dooley
Josif Grabocka
Katharina Eggensperger
635
1
0
28 Feb 2024
Achievable Fairness on Your Data With Utility Guarantees
Muhammad Faaiz Taufiq
Jean-François Ton
Yang Liu
333
1
0
27 Feb 2024
Federated Fairness without Access to Sensitive Groups
Afroditi Papadaki
Natalia Martínez
Martín Bertrán
Guillermo Sapiro
Miguel R. D. Rodrigues
FedML
280
4
0
22 Feb 2024
Fairness Without Harm: An Influence-Guided Active Sampling Approach
Jinlong Pang
Jialu Wang
Zhaowei Zhu
Yuanshun Yao
Chen Qian
Yang Liu
TDI
353
10
0
20 Feb 2024
Diversified Ensembling: An Experiment in Crowdsourced Machine Learning
Ira Globus-Harris
Declan Harrison
Michael Kearns
Pietro Perona
Aaron Roth
FedML
266
2
0
16 Feb 2024
AI, Meet Human: Learning Paradigms for Hybrid Decision Making Systems
Clara Punzi
Roberto Pellungrini
Mattia Setzu
F. Giannotti
D. Pedreschi
482
8
0
09 Feb 2024
The Limits of Fair Medical Imaging AI In The Wild
Yuzhe Yang
Haoran Zhang
Judy W. Gichoya
Dina Katabi
Marzyeh Ghassemi
271
7
0
11 Dec 2023
Benchmarking Multi-Domain Active Learning on Image Classification
Jiayi Li
Rohan Taori
Tatsunori Hashimoto
VLM
276
0
0
01 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
Designing Long-term Group Fair Policies in Dynamical Systems
Conference on Fairness, Accountability and Transparency (FAccT), 2023
Miriam Rateike
Isabel Valera
Patrick Forré
371
9
0
21 Nov 2023
Kantian Deontology Meets AI Alignment: Towards Morally Grounded Fairness Metrics
Carlos Mougan
Joshua Brand
256
0
0
09 Nov 2023
Procedural Fairness Through Decoupling Objectionable Data Generating Components
International Conference on Learning Representations (ICLR), 2023
Zeyu Tang
Jialu Wang
Yang Liu
Peter Spirtes
Kun Zhang
407
3
0
05 Nov 2023
Responsible AI (RAI) Games and Ensembles
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Yash Gupta
Runtian Zhai
A. Suggala
Pradeep Ravikumar
309
1
0
28 Oct 2023
FairTune: Optimizing Parameter Efficient Fine Tuning for Fairness in Medical Image Analysis
International Conference on Learning Representations (ICLR), 2023
Raman Dutt
Ondrej Bohdal
Sotirios A. Tsaftaris
Timothy M. Hospedales
582
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08 Oct 2023
DiffusionWorldViewer: Exposing and Broadening the Worldview Reflected by Generative Text-to-Image Models
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Angie Boggust
Arvindmani Satyanarayan
Ashia Wilson
283
2
0
18 Sep 2023
Mitigating Group Bias in Federated Learning for Heterogeneous Devices
Conference on Fairness, Accountability and Transparency (FAccT), 2023
Khotso Selialia
Yasra Chandio
Fatima M. Anwar
FedML
361
8
0
13 Sep 2023
A survey on bias in machine learning research
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M. Grochowski
AI4CE
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359
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Optimization on Pareto sets: On a theory of multi-objective optimization
Abhishek Roy
Geelon So
Yining Ma
346
11
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04 Aug 2023
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