Fairness Under Composition

15 June 2018

Papers citing "Fairness Under Composition"

27 / 27 papers shown

Title
Counting Hours, Counting Losses: The Toll of Unpredictable Work Schedules on Financial Security Pegah Nokhiz Aravinda Kanchana Ruwanpathirana Aditya Bhaskara Suresh Venkatasubramanian 35 0 0 10 Apr 2025
Multi-Output Distributional Fairness via Post-Processing Gang Li Qihang Lin Ayush Ghosh Tianbao Yang 55 0 0 31 Aug 2024
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 Yang Liu Lu Cheng FaML 71 3 0 10 Jun 2024
Striking a Balance in Fairness for Dynamic Systems Through Reinforcement Learning Yaowei Hu Jacob Lear Lu Zhang FaML 24 2 0 12 Jan 2024
FFPDG: Fast, Fair and Private Data Generation Weijie Xu Jinjin Zhao Francis Iannacci Bo Wang 38 11 0 30 Jun 2023
Sequential Strategic Screening Lee Cohen Saeed Sharifi-Malvajerd Kevin Stangl A. Vakilian Juba Ziani 28 4 0 31 Jan 2023
Increasing Fairness via Combination with Learning Guarantees Yijun Bian Kun Zhang FaML 32 2 0 25 Jan 2023
Simpson's Paradox in Recommender Fairness: Reconciling differences between per-user and aggregated evaluations Flavien Prost Ben Packer Jilin Chen Li Wei Pierre-Antoine Kremp ... Tulsee Doshi Tonia Osadebe Lukasz Heldt Ed H. Chi Alex Beutel 30 5 0 14 Oct 2022
Towards Trustworthy AI-Empowered Real-Time Bidding for Online Advertisement Auctioning Xiaoli Tang Han Yu 50 5 0 21 Sep 2022
Justice in Misinformation Detection Systems: An Analysis of Algorithms, Stakeholders, and Potential Harms Terrence Neumann Maria De-Arteaga S. Fazelpour 35 22 0 28 Apr 2022
The Equity Framework: Fairness Beyond Equalized Predictive Outcomes Keziah Naggita J. C. Aguma FaML 23 3 0 18 Apr 2022
Achieving Long-Term Fairness in Sequential Decision Making Yaowei Hu Lu Zhang 28 20 0 04 Apr 2022
Understanding and Mitigating Annotation Bias in Facial Expression Recognition Yunliang Chen Jungseock Joo CVBM 32 80 0 19 Aug 2021
Fair Preprocessing: Towards Understanding Compositional Fairness of Data Transformers in Machine Learning Pipeline Sumon Biswas Hridesh Rajan 26 112 0 02 Jun 2021
More Than Privacy: Applying Differential Privacy in Key Areas of Artificial Intelligence Tianqing Zhu Dayong Ye Wei Wang Wanlei Zhou Philip S. Yu SyDa 38 125 0 05 Aug 2020
Fairness-Aware Explainable Recommendation over Knowledge Graphs Zuohui Fu Yikun Xian Ruoyuan Gao Jieyu Zhao Qiaoying Huang ... Shuyuan Xu Shijie Geng C. Shah Yongfeng Zhang Gerard de Melo FaML 12 204 0 03 Jun 2020
Abstracting Fairness: Oracles, Metrics, and Interpretability Cynthia Dwork Christina Ilvento G. Rothblum Pragya Sur FaML 25 5 0 04 Apr 2020
Learning Certified Individually Fair Representations Anian Ruoss Mislav Balunović Marc Fischer Martin Vechev FaML 15 92 0 24 Feb 2020
Pipeline Interventions Eshwar Ram Arunachaleswaran Sampath Kannan Aaron Roth Juba Ziani 22 7 0 16 Feb 2020
Algorithmic Fairness Dana Pessach E. Shmueli FaML 33 386 0 21 Jan 2020
Efficient Fair Principal Component Analysis Mohammad Mahdi Kamani Farzin Haddadpour R. Forsati M. Mahdavi 13 36 0 12 Nov 2019
FlipTest: Fairness Testing via Optimal Transport Emily Black Samuel Yeom Matt Fredrikson 30 94 0 21 Jun 2019
The Price of Local Fairness in Multistage Selection V. Emelianov G. Arvanitakis Nicolas Gast Krishna P. Gummadi P. Loiseau 28 18 0 15 Jun 2019
Putting Fairness Principles into Practice: Challenges, Metrics, and Improvements Alex Beutel Jilin Chen Tulsee Doshi Hai Qian Allison Woodruff Christine Luu Pierre Kreitmann Jonathan Bischof Ed H. Chi FaML 30 150 0 14 Jan 2019
From Soft Classifiers to Hard Decisions: How fair can we be? R. Canetti A. Cohen Nishanth Dikkala Govind Ramnarayan Sarah Scheffler Adam D. Smith FaML 6 59 0 03 Oct 2018
Learning Adversarially Fair and Transferable Representations David Madras Elliot Creager T. Pitassi R. Zemel FaML 236 676 0 17 Feb 2018
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments Alexandra Chouldechova FaML 207 2,092 0 24 Oct 2016