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Blackbox Post-Processing for Multiclass Fairness

Blackbox Post-Processing for Multiclass Fairness

12 January 2022
Preston J. Putzel
Scott Lee
    FaML
ArXiv (abs)PDFHTML

Papers citing "Blackbox Post-Processing for Multiclass Fairness"

13 / 13 papers shown
Biased Heritage: How Datasets Shape Models in Facial Expression Recognition
Biased Heritage: How Datasets Shape Models in Facial Expression Recognition
Iris Dominguez-Catena
D. Paternain
M. Galar
Marybeth Defrance
Maarten Buyl
Tijl De Bie
376
1
0
05 Mar 2025
Mitigating Algorithmic Bias in Multiclass CNN Classifications Using Causal Modeling
Mitigating Algorithmic Bias in Multiclass CNN Classifications Using Causal Modeling
Min Sik Byun
Wendy Hui
Wai Kwong Lau
CVBMFaML
173
1
0
14 Jan 2025
Alpha and Prejudice: Improving $α$-sized Worst-case Fairness via
  Intrinsic Reweighting
Alpha and Prejudice: Improving ααα-sized Worst-case Fairness via Intrinsic ReweightingIEEE 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
Fair Class-Incremental Learning using Sample Weighting
Fair Class-Incremental Learning using Sample Weighting
Jaeyoung Park
Minsu Kim
Steven Euijong Whang
405
0
0
02 Oct 2024
Evaluating Model Bias Requires Characterizing its Mistakes
Evaluating Model Bias Requires Characterizing its Mistakes
Isabela Albuquerque
Jessica Schrouff
David Warde-Farley
Ali Taylan Cemgil
Sven Gowal
Olivia Wiles
328
3
0
15 Jul 2024
Mitigating Nonlinear Algorithmic Bias in Binary Classification
Mitigating Nonlinear Algorithmic Bias in Binary ClassificationConference on Algebraic Informatics (CAI), 2023
Wendy Hui
Wai Kwong Lau
FaML
349
2
0
09 Dec 2023
Detecting and Mitigating Algorithmic Bias in Binary Classification using
  Causal Modeling
Detecting and Mitigating Algorithmic Bias in Binary Classification using Causal Modeling
Wendy Hui
Wai Kwong Lau
FaML
301
5
0
19 Oct 2023
Fairness and Privacy-Preserving in Federated Learning: A Survey
Fairness and Privacy-Preserving in Federated Learning: A SurveyInformation Fusion (Inf. Fusion), 2023
Taki Hasan Rafi
Faiza Anan Noor
Tahmid Hussain
Dong-Kyu Chae
FedML
397
91
0
14 Jun 2023
Migrate Demographic Group For Fair GNNs
Migrate Demographic Group For Fair GNNs
Lele Fu
Tianchi Liao
Jialong Chen
Jing Bian
Zibin Zheng
Chuan Chen
304
0
0
07 Jun 2023
Bias Mitigation Methods for Binary Classification Decision-Making
  Systems: Survey and Recommendations
Bias Mitigation Methods for Binary Classification Decision-Making Systems: Survey and Recommendations
Madeleine Waller
Odinaldo Rodrigues
O. Cocarascu
FaMLAI4CE
253
2
0
31 May 2023
Learning Optimal Fair Scoring Systems for Multi-Class Classification
Learning Optimal Fair Scoring Systems for Multi-Class ClassificationIEEE International Conference on Tools with Artificial Intelligence (ICTAI), 2022
Julien Rouzot
Julien Ferry
Marie-José Huguet
FaML
365
12
0
11 Apr 2023
Modeling Quality and Machine Learning Pipelines through Extended Feature
  Models
Modeling Quality and Machine Learning Pipelines through Extended Feature Models
Giordano dÁloisio
A. Marco
Giovanni Stilo
232
7
0
15 Jul 2022
Fair Generalized Linear Models with a Convex Penalty
Fair Generalized Linear Models with a Convex PenaltyInternational Conference on Machine Learning (ICML), 2022
Hyungrok Do
Preston J. Putzel
Axel Martin
Padhraic Smyth
Judy Zhong
FaML
169
18
0
18 Jun 2022
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