A survey on datasets for fairness-aware machine learning

1 October 2021

Wenbin Zhang

Papers citing "A survey on datasets for fairness-aware machine learning"

50 / 67 papers shown

Title
A Frank System for Co-Evolutionary Hybrid Decision-Making Federico Mazzoni Riccardo Guidotti Alessio Malizia 43 2 0 08 Mar 2025
Second-Order Min-Max Optimization with Lazy Hessians Lesi Chen Chengchang Liu Jingzhao Zhang 80 1 0 12 Oct 2024
Resource-constrained Fairness Sofie Goethals Eoin Delaney Brent Mittelstadt Christopher Russell FaML 98 1 0 03 Jun 2024
Balanced Mixed-Type Tabular Data Synthesis with Diffusion Models Zeyu Yang Peikun Guo Khadija Zanna Akane Sano Xiaoxue Yang Akane Sano DiffM 65 9 0 12 Apr 2024
Bias Testing and Mitigation in LLM-based Code Generation Dong Huang Qingwen Bu Jie M. Zhang Xiaofei Xie Junjie Chen Heming Cui 61 23 0 03 Sep 2023
Fair Decision-making Under Uncertainty Wenbin Zhang Jeremy C. Weiss 55 38 0 29 Jan 2023
Longitudinal Fairness with Censorship Wenbin Zhang Jeremy C. Weiss 42 40 0 30 Mar 2022
FARF: A Fair and Adaptive Random Forests Classifier Wenbin Zhang Albert Bifet Xiangliang Zhang Jeremy C. Weiss Wolfgang Nejdl FaML 50 52 0 17 Aug 2021
Retiring Adult: New Datasets for Fair Machine Learning Frances Ding Moritz Hardt John Miller Ludwig Schmidt 112 445 0 10 Aug 2021
Fair-Capacitated Clustering Tai Le Quy Arjun Roy Gunnar Friege Eirini Ntoutsi FaML 9 16 0 25 Apr 2021
Consequence-aware Sequential Counterfactual Generation Philip Naumann Eirini Ntoutsi OffRL 40 25 0 12 Apr 2021
Learning to Generate Fair Clusters from Demonstrations Sainyam Galhotra Sandhya Saisubramanian S. Zilberstein FaML 39 9 0 08 Feb 2021
Data and its (dis)contents: A survey of dataset development and use in machine learning research Amandalynne Paullada Inioluwa Deborah Raji Emily M. Bender Emily L. Denton A. Hanna 73 518 0 09 Dec 2020
Minimax Pareto Fairness: A Multi Objective Perspective Natalia Martínez Martín Bertrán Guillermo Sapiro FaML 32 191 0 03 Nov 2020
How Do Fair Decisions Fare in Long-term Qualification? Xueru Zhang Ruibo Tu Yang Liu M. Liu Hedvig Kjellström Kun Zhang Cheng Zhang 63 74 0 21 Oct 2020
Fairness without Demographics through Adversarially Reweighted Learning Preethi Lahoti Alex Beutel Jilin Chen Kang Lee Flavien Prost Nithum Thain Xuezhi Wang Ed H. Chi FaML 93 333 0 23 Jun 2020
How fair can we go in machine learning? Assessing the boundaries of fairness in decision trees Ana Valdivia Javier Sánchez-Monedero J. Casillas FaML 43 46 0 22 Jun 2020
Fair clustering via equitable group representations Mohsen Abbasi Aditya Bhaskara Suresh Venkatasubramanian FaML FedML 41 87 0 19 Jun 2020
Probabilistic Fair Clustering Seyed-Alireza Esmaeili Brian Brubach Leonidas Tsepenekas John P. Dickerson FaML 36 36 0 19 Jun 2020
Algorithmic Decision Making with Conditional Fairness Renzhe Xu Peng Cui Kun Kuang Bo Li Linjun Zhou Zheyan Shen Wei Cui FaML 23 36 0 18 Jun 2020
Fair Outlier Detection D. P. Savitha Sam Abraham FaML 45 18 0 20 May 2020
FairNN- Conjoint Learning of Fair Representations for Fair Decisions Tongxin Hu Vasileios Iosifidis Wentong Liao Hang Zhang M. Yang Eirini Ntoutsi Bodo Rosenhahn FaML 21 19 0 05 Apr 2020
Learning Certified Individually Fair Representations Anian Ruoss Mislav Balunović Marc Fischer Martin Vechev FaML 27 93 0 24 Feb 2020
Individual Fairness for $k$ -Clustering S. Mahabadi A. Vakilian FaML 32 83 0 17 Feb 2020
Algorithmic Fairness Dana Pessach E. Shmueli FaML 40 388 0 21 Jan 2020
FairPrep: Promoting Data to a First-Class Citizen in Studies on Fairness-Enhancing Interventions Sebastian Schelter Yuxuan He Jatin Khilnani Julia Stoyanovich 14 61 0 28 Nov 2019
Fair Adversarial Gradient Tree Boosting Vincent Grari Boris Ruf Sylvain Lamprier Marcin Detyniecki FaML 19 34 0 13 Nov 2019
Fairness in Clustering with Multiple Sensitive Attributes Savitha Sam Abraham • Deepak Sowmya S. Sundaram FaML 35 43 0 11 Oct 2019
AdaFair: Cumulative Fairness Adaptive Boosting Vasileios Iosifidis Eirini Ntoutsi FaML 20 83 0 17 Sep 2019
Fairness Warnings and Fair-MAML: Learning Fairly with Minimal Data Dylan Slack Sorelle A. Friedler Emile Givental FaML 85 54 0 24 Aug 2019
Fairness in Deep Learning: A Computational Perspective Mengnan Du Fan Yang Na Zou Xia Hu FaML FedML 24 230 0 23 Aug 2019
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 458 4,285 0 23 Aug 2019
FairSight: Visual Analytics for Fairness in Decision Making Yongsu Ahn Y. Lin 25 121 0 01 Aug 2019
FAHT: An Adaptive Fairness-aware Decision Tree Classifier Wenbin Zhang Eirini Ntoutsi FaML 14 110 0 16 Jul 2019
Operationalizing Individual Fairness with Pairwise Fair Representations Preethi Lahoti Krishna P. Gummadi Gerhard Weikum FaML 56 101 0 02 Jul 2019
Time-to-Event Prediction with Neural Networks and Cox Regression Håvard Kvamme Ørnulf Borgan Ida Scheel 102 329 0 01 Jul 2019
Coresets for Clustering with Fairness Constraints Lingxiao Huang S. Jiang Nisheeth K. Vishnoi 48 101 0 20 Jun 2019
Pairwise Fairness for Ranking and Regression Harikrishna Narasimhan Andrew Cotter Maya R. Gupta S. Wang 45 114 0 12 Jun 2019
Learning Fair Naive Bayes Classifiers by Discovering and Eliminating Discrimination Patterns YooJung Choi G. Farnadi Behrouz Babaki Guy Van den Broeck FaML 39 27 0 10 Jun 2019
Average Individual Fairness: Algorithms, Generalization and Experiments Michael Kearns Aaron Roth Saeed Sharifi-Malvajerdi FaML FedML 82 85 0 25 May 2019
Scalable Fair Clustering A. Backurs Piotr Indyk Krzysztof Onak B. Schieber A. Vakilian Tal Wagner 49 198 0 10 Feb 2019
Algorithms for Fairness in Sequential Decision Making Min Wen Osbert Bastani Ufuk Topcu FaML 24 54 0 24 Jan 2019
Fair Algorithms for Clustering Suman Kalyan Bera Deeparnab Chakrabarty Nicolas J. Flores Maryam Negahbani FaML FedML 49 233 0 08 Jan 2019
Taking Advantage of Multitask Learning for Fair Classification L. Oneto Michele Donini Amon Elders Massimiliano Pontil FaML 52 60 0 19 Oct 2018
Hunting for Discriminatory Proxies in Linear Regression Models Samuel Yeom Anupam Datta Matt Fredrikson 95 19 0 16 Oct 2018
Fairness Through Causal Awareness: Learning Latent-Variable Models for Biased Data David Madras Elliot Creager T. Pitassi R. Zemel FaML 33 133 0 07 Sep 2018
An Empirical Study of Rich Subgroup Fairness for Machine Learning Michael Kearns Seth Neel Aaron Roth Zhiwei Steven Wu FaML 74 205 0 24 Aug 2018
Fairness Behind a Veil of Ignorance: A Welfare Analysis for Automated Decision Making Hoda Heidari Claudio Ferrari Krishna P. Gummadi Andreas Krause 49 131 0 13 Jun 2018
Gender Bias in Coreference Resolution: Evaluation and Debiasing Methods Jieyu Zhao Tianlu Wang Mark Yatskar Vicente Ordonez Kai-Wei Chang 71 919 0 18 Apr 2018
Delayed Impact of Fair Machine Learning Lydia T. Liu Sarah Dean Esther Rolf Max Simchowitz Moritz Hardt FaML 56 475 0 12 Mar 2018