Proxy Fairness

28 June 2018

Papers citing "Proxy Fairness"

39 / 39 papers shown

Title
Fair Text Classification via Transferable Representations Thibaud Leteno Michael Perrot Charlotte Laclau Antoine Gourru Christophe Gravier FaML 88 0 0 10 Mar 2025
Accurate and Data-Efficient Toxicity Prediction when Annotators Disagree Harbani Jaggi Kashyap Murali Eve Fleisig Erdem Bıyık 36 1 0 16 Oct 2024
Fairness without Sensitive Attributes via Knowledge Sharing Hongliang Ni Lei Han Tong Chen S. Sadiq Gianluca Demartini 47 2 0 27 Sep 2024
FairJob: A Real-World Dataset for Fairness in Online Systems Mariia Vladimirova Federico Pavone Eustache Diemert 52 1 0 03 Jul 2024
Fair Recommendations with Limited Sensitive Attributes: A Distributionally Robust Optimization Approach Tianhao Shi Yang Zhang Jizhi Zhang Fuli Feng Xiangnan He 46 0 0 02 May 2024
De-Biasing Models of Biased Decisions: A Comparison of Methods Using Mortgage Application Data Nicholas Tenev 30 0 0 01 May 2024
Fairness Risks for Group-conditionally Missing Demographics Kaiqi Jiang Wenzhe Fan Mao Li Xinhua Zhang 105 0 0 20 Feb 2024
Causal Fairness under Unobserved Confounding: A Neural Sensitivity Framework Maresa Schröder Dennis Frauen Stefan Feuerriegel CML 37 6 0 30 Nov 2023
TIDE: Textual Identity Detection for Evaluating and Augmenting Classification and Language Models Emmanuel Klu Sameer Sethi 38 0 0 07 Sep 2023
Fairness Under Demographic Scarce Regime Patrik Kenfack Samira Ebrahimi Kahou Ulrich Aïvodji 43 3 0 24 Jul 2023
The Effects of Mixed Sample Data Augmentation are Class Dependent Haeil Lee Han S. Lee Junmo Kim 52 1 0 18 Jul 2023
Privacy and Fairness in Federated Learning: on the Perspective of Trade-off Huiqiang Chen Tianqing Zhu Tao Zhang Wanlei Zhou Philip S. Yu FedML 34 43 0 25 Jun 2023
Group Fairness with Uncertainty in Sensitive Attributes Abhin Shah Maohao Shen Jeonghun Ryu Subhro Das P. Sattigeri Yuheng Bu G. Wornell FaML 6 5 0 16 Feb 2023
Manifestations of Xenophobia in AI Systems Nenad Tomašev J. L. Maynard Iason Gabriel 24 9 0 15 Dec 2022
Can Querying for Bias Leak Protected Attributes? Achieving Privacy With Smooth Sensitivity Faisal Hamman Jiahao Chen Sanghamitra Dutta 25 9 0 03 Nov 2022
Estimating and Controlling for Equalized Odds via Sensitive Attribute Predictors Beepul Bharti Paul H. Yi Jeremias Sulam 29 4 0 25 Jul 2022
Adversarial Reweighting for Speaker Verification Fairness Minho Jin Chelsea J.-T. Ju Zeya Chen Yi-Chieh Liu J. Droppo A. Stolcke 24 4 0 15 Jul 2022
Bias Mitigation for Machine Learning Classifiers: A Comprehensive Survey Max Hort Zhenpeng Chen Jie M. Zhang Mark Harman Federica Sarro FaML AI4CE 38 162 0 14 Jul 2022
Fair Classification via Domain Adaptation: A Dual Adversarial Learning Approach Yueqing Liang Canyu Chen Tian Tian Kai Shu FaML 11 9 0 08 Jun 2022
Modeling Techniques for Machine Learning Fairness: A Survey Mingyang Wan Daochen Zha Ninghao Liu Na Zou SyDa FaML 37 36 0 04 Nov 2021
Fairness without the sensitive attribute via Causal Variational Autoencoder Vincent Grari Sylvain Lamprier Marcin Detyniecki 24 27 0 10 Sep 2021
Fair Classification with Adversarial Perturbations L. E. Celis Anay Mehrotra Nisheeth K. Vishnoi FaML 29 32 0 10 Jun 2021
Measuring Model Fairness under Noisy Covariates: A Theoretical Perspective Flavien Prost Pranjal Awasthi Nicholas Blumm A. Kumthekar Trevor Potter Li Wei Xuezhi Wang Ed H. Chi Jilin Chen Alex Beutel 50 15 0 20 May 2021
Evaluating Fairness of Machine Learning Models Under Uncertain and Incomplete Information Pranjal Awasthi Alex Beutel Matthaeus Kleindessner Jamie Morgenstern Xuezhi Wang FaML 54 55 0 16 Feb 2021
Fairness for Unobserved Characteristics: Insights from Technological Impacts on Queer Communities Nenad Tomašev Kevin R. McKee Jackie Kay Shakir Mohamed FaML 30 86 0 03 Feb 2021
Exploring Text Specific and Blackbox Fairness Algorithms in Multimodal Clinical NLP John Chen Ian Berlot-Attwell Safwan Hossain Xindi Wang Frank Rudzicz FaML 37 7 0 19 Nov 2020
Uncertainty as a Form of Transparency: Measuring, Communicating, and Using Uncertainty Umang Bhatt Javier Antorán Yunfeng Zhang Q. V. Liao P. Sattigeri ... L. Nachman R. Chunara Madhulika Srikumar Adrian Weller Alice Xiang 22 247 0 15 Nov 2020
Fair Classification with Group-Dependent Label Noise Jialu Wang Yang Liu Caleb C. Levy NoLa 16 101 0 31 Oct 2020
"What We Can't Measure, We Can't Understand": Challenges to Demographic Data Procurement in the Pursuit of Fairness Mckane Andrus Elena Spitzer Jeffrey Brown Alice Xiang 32 126 0 30 Oct 2020
Fairness in Machine Learning: A Survey Simon Caton C. Haas FaML 37 616 0 04 Oct 2020
Beyond Individual and Group Fairness Pranjal Awasthi Corinna Cortes Yishay Mansour M. Mohri FaML 23 22 0 21 Aug 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 30 329 0 23 Jun 2020
Balancing Competing Objectives with Noisy Data: Score-Based Classifiers for Welfare-Aware Machine Learning Esther Rolf Max Simchowitz Sarah Dean Lydia T. Liu Daniel Björkegren Moritz Hardt J. Blumenstock 8 22 0 15 Mar 2020
Fair Learning with Private Demographic Data Hussein Mozannar Mesrob I. Ohannessian Nathan Srebro 35 73 0 26 Feb 2020
Robust Optimization for Fairness with Noisy Protected Groups S. Wang Wenshuo Guo Harikrishna Narasimhan Andrew Cotter Maya R. Gupta Michael I. Jordan NoLa 27 118 0 21 Feb 2020
Transfer of Machine Learning Fairness across Domains Candice Schumann Xuezhi Wang Alex Beutel Jilin Chen Hai Qian Ed H. Chi 35 69 0 24 Jun 2019
Equalized odds postprocessing under imperfect group information Pranjal Awasthi Matthäus Kleindessner Jamie Morgenstern 30 89 0 07 Jun 2019
What's in a Name? Reducing Bias in Bios without Access to Protected Attributes Alexey Romanov Maria De-Arteaga Hanna M. Wallach J. Chayes C. Borgs Alexandra Chouldechova S. Geyik K. Kenthapadi Anna Rumshisky Adam Tauman Kalai 24 80 0 10 Apr 2019
Noise-tolerant fair classification A. Lamy Ziyuan Zhong A. Menon Nakul Verma NoLa 28 76 0 30 Jan 2019