On Fairness and Calibration

6 September 2017

Papers citing "On Fairness and Calibration"

50 / 184 papers shown

Title
Towards Equalised Odds as Fairness Metric in Academic Performance Prediction Jannik Dunkelau Manh Khoi Duong FaML 24 4 0 29 Sep 2022
Fairness Reprogramming Guanhua Zhang Yihua Zhang Yang Zhang Wenqi Fan Qing Li Sijia Liu Shiyu Chang AAML 83 38 0 21 Sep 2022
Algorithmic decision making methods for fair credit scoring Darie Moldovan FaML 35 7 0 16 Sep 2022
Adaptive Fairness Improvement Based on Causality Analysis Mengdi Zhang Jun Sun 24 31 0 15 Sep 2022
Fairness in Forecasting of Observations of Linear Dynamical Systems Quan Zhou Jakub Mareˇcek Robert Shorten AI4TS 45 5 0 12 Sep 2022
RAGUEL: Recourse-Aware Group Unfairness Elimination Aparajita Haldar Teddy Cunningham Hakan Ferhatosmanoglu FaML 40 3 0 30 Aug 2022
Minimax AUC Fairness: Efficient Algorithm with Provable Convergence Zhenhuan Yang Yan Lok Ko Kush R. Varshney Yiming Ying FaML 35 17 0 22 Aug 2022
Multiple Attribute Fairness: Application to Fraud Detection Meghanath Macha Yadagiri S. Ravindran Deepak Pai A. Narang V. Srivastava 35 1 0 28 Jul 2022
Debiasing Deep Chest X-Ray Classifiers using Intra- and Post-processing Methods Ricards Marcinkevics Ece Ozkan Julia E. Vogt 33 18 0 26 Jul 2022
Algorithmic Fairness in Business Analytics: Directions for Research and Practice Maria De-Arteaga Stefan Feuerriegel M. Saar-Tsechansky FaML 22 42 0 22 Jul 2022
A Comprehensive Empirical Study of Bias Mitigation Methods for Machine Learning Classifiers Zhenpeng Chen Jie M. Zhang Federica Sarro Mark Harman FaML 24 67 0 07 Jul 2022
Fairness and Cost Constrained Privacy-Aware Record Linkage Nan Wu Dinusha Vatsalan Sunny Verma M. Kâafar 33 5 0 30 Jun 2022
A Machine Learning Model for Predicting, Diagnosing, and Mitigating Health Disparities in Hospital Readmission Shaina Raza 32 14 0 13 Jun 2022
FETA: Fairness Enforced Verifying, Training, and Predicting Algorithms for Neural Networks Kiarash Mohammadi Aishwarya Sivaraman G. Farnadi 27 5 0 01 Jun 2022
To the Fairness Frontier and Beyond: Identifying, Quantifying, and Optimizing the Fairness-Accuracy Pareto Frontier Camille Olivia Little Michael Weylandt Genevera I. Allen 30 13 0 31 May 2022
Fair Representation Learning through Implicit Path Alignment Changjian Shui Qi Chen Jiaqi Li Boyu Wang Christian Gagné 45 28 0 26 May 2022
Beyond Impossibility: Balancing Sufficiency, Separation and Accuracy Limor Gultchin Vincent Cohen-Addad Sophie Giffard-Roisin Varun Kanade Frederik Mallmann-Trenn 29 4 0 24 May 2022
Accurate Fairness: Improving Individual Fairness without Trading Accuracy Xuran Li Peng Wu Jing Su FaML 33 17 0 18 May 2022
Towards Intersectionality in Machine Learning: Including More Identities, Handling Underrepresentation, and Performing Evaluation Angelina Wang V. V. Ramaswamy Olga Russakovsky FaML 31 92 0 10 May 2022
The Road to Explainability is Paved with Bias: Measuring the Fairness of Explanations Aparna Balagopalan Haoran Zhang Kimia Hamidieh Thomas Hartvigsen Frank Rudzicz Marzyeh Ghassemi 45 78 0 06 May 2022
Optimising Equal Opportunity Fairness in Model Training Aili Shen Xudong Han Trevor Cohn Timothy Baldwin Lea Frermann FaML 32 28 0 05 May 2022
Marrying Fairness and Explainability in Supervised Learning Przemyslaw A. Grabowicz Nicholas Perello Aarshee Mishra FaML 51 43 0 06 Apr 2022
Last Layer Re-Training is Sufficient for Robustness to Spurious Correlations Polina Kirichenko Pavel Izmailov A. Wilson OOD 56 320 0 06 Apr 2022
FairNeuron: Improving Deep Neural Network Fairness with Adversary Games on Selective Neurons Xuanqi Gao Juan Zhai Shiqing Ma Chao Shen Yufei Chen Qianqian Wang 34 37 0 06 Apr 2022
Improving the Fairness of Chest X-ray Classifiers Haoran Zhang Natalie Dullerud Karsten Roth Lauren Oakden-Rayner Stephen R. Pfohl Marzyeh Ghassemi 23 65 0 23 Mar 2022
Reprogramming FairGANs with Variational Auto-Encoders: A New Transfer Learning Model Beatrice Nobile G. Santin Bruno Lepri P. Brutti SyDa 16 1 0 11 Mar 2022
Low-Degree Multicalibration Parikshit Gopalan Michael P. Kim M. Singhal Shengjia Zhao FaML UQCV 22 37 0 02 Mar 2022
Selection, Ignorability and Challenges With Causal Fairness Jake Fawkes R. Evans Dino Sejdinovic 86 19 0 28 Feb 2022
Bayes-Optimal Classifiers under Group Fairness Xianli Zeng Yan Sun Guang Cheng FaML 21 23 0 20 Feb 2022
Cascaded Debiasing: Studying the Cumulative Effect of Multiple Fairness-Enhancing Interventions Bhavya Ghai Mihir A. Mishra Klaus Mueller 29 7 0 08 Feb 2022
SLIDE: a surrogate fairness constraint to ensure fairness consistency Kunwoong Kim Ilsang Ohn Sara Kim Yongdai Kim 35 4 0 07 Feb 2022
Fair Interpretable Representation Learning with Correction Vectors Mattia Cerrato A. Coronel Marius Köppel A. Segner Roberto Esposito Stefan Kramer FaML 14 5 0 07 Feb 2022
FORML: Learning to Reweight Data for Fairness Bobby Yan Skyler Seto N. Apostoloff FaML 29 11 0 03 Feb 2022
Data Collection and Quality Challenges in Deep Learning: A Data-Centric AI Perspective Steven Euijong Whang Yuji Roh Hwanjun Song Jae-Gil Lee 27 326 0 13 Dec 2021
The Box Size Confidence Bias Harms Your Object Detector Johannes Gilg Torben Teepe Fabian Herzog Gerhard Rigoll ObjD 21 4 0 03 Dec 2021
CONFAIR: Configurable and Interpretable Algorithmic Fairness Ankit Kulshrestha Ilya Safro FaML 22 2 0 17 Nov 2021
Group-Aware Threshold Adaptation for Fair Classification T. Jang P. Shi Xiaoqian Wang FaML 88 36 0 08 Nov 2021
Modeling Techniques for Machine Learning Fairness: A Survey Mingyang Wan Daochen Zha Ninghao Liu Na Zou SyDa FaML 34 36 0 04 Nov 2021
Sample Selection for Fair and Robust Training Yuji Roh Kangwook Lee Steven Euijong Whang Changho Suh 21 61 0 27 Oct 2021
Fair Sequential Selection Using Supervised Learning Models Mohammad Mahdi Khalili Xueru Zhang Mahed Abroshan FaML 36 20 0 26 Oct 2021
Fair Enough: Searching for Sufficient Measures of Fairness Suvodeep Majumder Joymallya Chakraborty Gina R. Bai Kathryn T. Stolee Tim Menzies 25 26 0 25 Oct 2021
Trustworthy AI: From Principles to Practices Bo Li Peng Qi Bo Liu Shuai Di Jingen Liu Jiquan Pei Jinfeng Yi Bowen Zhou 119 357 0 04 Oct 2021
Consider the Alternatives: Navigating Fairness-Accuracy Tradeoffs via Disqualification G. Rothblum G. Yona FaML 33 1 0 02 Oct 2021
SoK: Machine Learning Governance Varun Chandrasekaran Hengrui Jia Anvith Thudi Adelin Travers Mohammad Yaghini Nicolas Papernot 43 16 0 20 Sep 2021
Achieving Model Fairness in Vertical Federated Learning Changxin Liu Zhenan Fan Zirui Zhou Yang Shi J. Pei Lingyang Chu Yong Zhang FedML 60 12 0 17 Sep 2021
Auditing the Imputation Effect on Fairness of Predictive Analytics in Higher Education Hadis Anahideh Parian Haghighat Nazanin Nezami Denisa Gándara 19 0 0 13 Sep 2021
Finding Representative Group Fairness Metrics Using Correlation Estimations Hadis Anahideh Nazanin Nezami Abolfazl Asudeh 29 1 0 13 Sep 2021
Gradual (In)Compatibility of Fairness Criteria Corinna Hertweck T. Raz 30 12 0 09 Sep 2021
Uncertainty Measures in Neural Belief Tracking and the Effects on Dialogue Policy Performance Carel van Niekerk A. Malinin Christian Geishauser Michael Heck Hsien-chin Lin Nurul Lubis Shutong Feng Milica Gavsić 26 9 0 09 Sep 2021
EDITS: Modeling and Mitigating Data Bias for Graph Neural Networks Yushun Dong Ninghao Liu B. Jalaeian Jundong Li 36 118 0 11 Aug 2021