On Formalizing Fairness in Prediction with Machine Learning

9 October 2017

Papers citing "On Formalizing Fairness in Prediction with Machine Learning"

38 / 38 papers shown

Title
Enforcing Fairness Where It Matters: An Approach Based on Difference-of-Convex Constraints Yutian He Yankun Huang Yao Yao Qihang Lin FaML 27 0 0 18 May 2025
Fairness-aware Anomaly Detection via Fair Projection Feng Xiao Xiaoying Tang Jicong Fan 37 0 0 16 May 2025
FaiREE: Fair Classification with Finite-Sample and Distribution-Free Guarantee Puheng Li James Zou Linjun Zhang FaML 98 4 0 13 Mar 2025
Properties of fairness measures in the context of varying class imbalance and protected group ratios D. Brzezinski Julia Stachowiak Jerzy Stefanowski Izabela Szczech R. Susmaga Sofya Aksenyuk Uladzimir Ivashka Oleksandr Yasinskyi 143 4 0 13 Nov 2024
Data Ethics in the Era of Healthcare Artificial Intelligence in Africa: An Ubuntu Philosophy Perspective A. J. Mahamadou Aloysius Ochasi Russ B. Altman 29 0 0 14 Jun 2024
Investigating Gender Fairness in Machine Learning-driven Personalized Care for Chronic Pain Pratik Gajane Sean Newman Mykola Pechenizkiy John D. Piette FaML 28 0 0 29 Feb 2024
Robust probabilistic inference via a constrained transport metric Abhisek Chakraborty A. Bhattacharya D. Pati 33 3 0 17 Mar 2023
Fairness-enhancing deep learning for ride-hailing demand prediction Yunhan Zheng Qingyi Wang Dingyi Zhuang Shenhao Wang Jinhua Zhao 46 12 0 10 Mar 2023
Provable Detection of Propagating Sampling Bias in Prediction Models Pavan Ravishankar Qingyu Mo E. McFowland Daniel B. Neill 43 3 0 13 Feb 2023
Matrix Estimation for Individual Fairness Cindy Y. Zhang Sarah H. Cen Devavrat Shah FaML 36 4 0 04 Feb 2023
Increasing Fairness via Combination with Learning Guarantees Yijun Bian Kun Zhang FaML 35 2 0 25 Jan 2023
Simultaneous Improvement of ML Model Fairness and Performance by Identifying Bias in Data B. Chaudhari Akash Agarwal Tanmoy Bhowmik 33 2 0 24 Oct 2022
Diversely Regularized Matrix Factorization for Accurate and Aggregately Diversified Recommendation Jongjin Kim Hyunsik Jeon Jaeri Lee U. Kang 27 10 0 19 Oct 2022
Survey on Fairness Notions and Related Tensions Guilherme Alves Fabien Bernier Miguel Couceiro K. Makhlouf C. Palamidessi Sami Zhioua FaML 46 25 0 16 Sep 2022
Fairness in Forecasting of Observations of Linear Dynamical Systems Quan Zhou Jakub Mareˇcek Robert Shorten AI4TS 45 5 0 12 Sep 2022
Counterfactual Fairness Is Basically Demographic Parity Lucas Rosenblatt R. T. Witter 25 15 0 07 Aug 2022
Survey on Fair Reinforcement Learning: Theory and Practice Pratik Gajane A. Saxena M. Tavakol George Fletcher Mykola Pechenizkiy FaML OffRL 40 13 0 20 May 2022
The Long Arc of Fairness: Formalisations and Ethical Discourse Pola Schwöbel Peter Remmers 32 18 0 08 Mar 2022
FairEGM: Fair Link Prediction and Recommendation via Emulated Graph Modification Sean Current Yuntian He Saket Gurukar Srinivas Parthasarathy 33 13 0 27 Jan 2022
Statistical discrimination in learning agents Edgar A. Duénez-Guzmán Kevin R. McKee Yiran Mao Ben Coppin Silvia Chiappa ... Yoram Bachrach Suzanne Sadedin William S. Isaac K. Tuyls Joel Z. Leibo 47 7 0 21 Oct 2021
Equality of opportunity in travel behavior prediction with deep neural networks and discrete choice models Yunhan Zheng Shenhao Wang Jinhuan Zhao HAI 26 27 0 25 Sep 2021
Towards Equity and Algorithmic Fairness in Student Grade Prediction Weijie Jiang Z. Pardos FaML 33 47 0 14 May 2021
Fairness with Continuous Optimal Transport Silvia Chiappa Aldo Pacchiano OT 42 12 0 06 Jan 2021
High Resolution Zero-Shot Domain Adaptation of Synthetically Rendered Face Images Stephan J. Garbin Marek Kowalski Matthew W. Johnson Jamie Shotton 3DH 33 9 0 26 Jun 2020
Fairness in Forecasting and Learning Linear Dynamical Systems Quan-Gen Zhou Jakub Mareˇcek Robert Shorten AI4TS 37 7 0 12 Jun 2020
Statistical Equity: A Fairness Classification Objective Ninareh Mehrabi Yuzhong Huang Fred Morstatter FaML 20 10 0 14 May 2020
Exploring User Opinions of Fairness in Recommender Systems Jessie J. Smith Nasim Sonboli Casey Fiesler Robin Burke FaML 27 15 0 13 Mar 2020
Case Study: Predictive Fairness to Reduce Misdemeanor Recidivism Through Social Service Interventions Kit T. Rodolfa E. Salomon Lauren Haynes Iván Higuera Mendieta Jamie L Larson Rayid Ghani 22 46 0 24 Jan 2020
Towards Fairness in Visual Recognition: Effective Strategies for Bias Mitigation Zeyu Wang Klint Qinami Yannis Karakozis Kyle Genova P. Nair Kenji Hata Olga Russakovsky 38 357 0 26 Nov 2019
Designing Evaluations of Machine Learning Models for Subjective Inference: The Case of Sentence Toxicity Agathe Balayn A. Bozzon ELM 19 4 0 06 Nov 2019
Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI Alejandro Barredo Arrieta Natalia Díaz Rodríguez Javier Del Ser Adrien Bennetot Siham Tabik ... S. Gil-Lopez Daniel Molina Richard Benjamins Raja Chatila Francisco Herrera XAI 41 6,125 0 22 Oct 2019
Learning Fair and Transferable Representations L. Oneto Michele Donini Andreas Maurer Massimiliano Pontil FaML 37 19 0 25 Jun 2019
Machine Learning Testing: Survey, Landscapes and Horizons Jie M. Zhang Mark Harman Lei Ma Yang Liu VLM AILaw 39 741 0 19 Jun 2019
Compositional Fairness Constraints for Graph Embeddings A. Bose William L. Hamilton FaML 22 256 0 25 May 2019
The invisible power of fairness. How machine learning shapes democracy E. Beretta A. Santangelo Bruno Lepri A. Vetrò Juan Carlos De Martin FaML 18 6 0 22 Mar 2019
How Do Fairness Definitions Fare? Examining Public Attitudes Towards Algorithmic Definitions of Fairness N. Saxena Karen Huang Evan DeFilippis Goran Radanović David C. Parkes Yang Liu FaML 27 174 0 08 Nov 2018
A General Framework for Fair Regression Jack K. Fitzsimons AbdulRahman Al Ali Michael A. Osborne Stephen J. Roberts FaML 30 37 0 10 Oct 2018
Pooling of Causal Models under Counterfactual Fairness via Causal Judgement Aggregation Fabio Massimo Zennaro Magdalena Ivanovska CML 24 4 0 24 May 2018