Equality of Opportunity in Supervised Learning

7 October 2016

Papers citing "Equality of Opportunity in Supervised Learning"

50 / 66 papers shown

Title
Fairness Practices in Industry: A Case Study in Machine Learning Teams Building Recommender Systems Jing Nathan Yan Junxiong Wang Jeffrey M. Rzeszotarski Allison Koenecke FaML 41 0 0 26 May 2025
Transparency and Proportionality in Post-Processing Algorithmic Bias Correction Juliett Suárez Ferreira Marija Slavkovik Jorge Casillas 30 0 0 23 May 2025
Enforcing Fairness Where It Matters: An Approach Based on Difference-of-Convex Constraints Yutian He Yankun Huang Yao Yao Qihang Lin FaML 36 0 0 18 May 2025
Fair Representation Learning for Continuous Sensitive Attributes using Expectation of Integral Probability Metrics Insung Kong Kunwoong Kim Yongdai Kim FaML 89 1 0 09 May 2025
Fairness Perceptions in Regression-based Predictive Models Mukund Telukunta Venkata Sriram Siddhardh Nadendla Morgan Stuart Casey Canfield 57 0 0 08 May 2025
Whence Is A Model Fair? Fixing Fairness Bugs via Propensity Score Matching Kewen Peng Yicheng Yang Hao Zhuo 70 0 0 23 Apr 2025
Building Trustworthy Multimodal AI: A Review of Fairness, Transparency, and Ethics in Vision-Language Tasks Mohammad Saleha Azadeh Tabatabaeib 76 0 0 14 Apr 2025
BiasCause: Evaluate Socially Biased Causal Reasoning of Large Language Models Tian Xie Tongxin Yin Vaishakh Keshava Xueru Zhang Siddhartha Reddy Jonnalagadda ELM LRM 87 0 0 08 Apr 2025
The Cost of Local and Global Fairness in Federated Learning Yuying Duan Gelei Xu Yiyu Shi Michael Lemmon FedML 92 0 0 27 Mar 2025
FaiREE: Fair Classification with Finite-Sample and Distribution-Free Guarantee Puheng Li James Zou Linjun Zhang FaML 253 4 0 13 Mar 2025
Investigating the Relationship Between Debiasing and Artifact Removal using Saliency Maps Lukasz Sztukiewicz Ignacy Stepka Michał Wiliński Jerzy Stefanowski 93 0 0 28 Feb 2025
A consensus set for the aggregation of partial rankings: the case of the Optimal Set of Bucket Orders Problem Juan A. Aledo José A. Gámez Alejandro Rosete 149 0 0 19 Feb 2025
Conformal Prediction Sets Can Cause Disparate Impact Jesse C. Cresswell Bhargava Kumar Yi Sui Mouloud Belbahri FaML 254 1 0 17 Feb 2025
Revisiting the Berkeley Admissions data: Statistical Tests for Causal Hypotheses Sourbh Bhadane Joris Mooij Philip A. Boeken O. Zoeter 110 0 0 17 Feb 2025
Differential Adjusted Parity for Learning Fair Representations Bucher Sahyouni Matthew Vowels Liqun Chen Simon Hadfield FaML 118 0 0 13 Feb 2025
DECAF: Learning to be Fair in Multi-agent Resource Allocation Ashwin Kumar William Yeoh 101 1 0 06 Feb 2025
Fairness through Difference Awareness: Measuring Desired Group Discrimination in LLMs Angelina Wang Michelle Phan Daniel E. Ho Sanmi Koyejo 77 2 0 04 Feb 2025
Counterfactually Fair Reinforcement Learning via Sequential Data Preprocessing Jitao Wang C. Shi John D. Piette Joshua R. Loftus Donglin Zeng Zhenke Wu OffRL 89 0 0 10 Jan 2025
FairSense: Long-Term Fairness Analysis of ML-Enabled Systems Yining She Sumon Biswas Christian Kastner Eunsuk Kang 76 0 0 03 Jan 2025
Fairness in Reinforcement Learning with Bisimulation Metrics S. Rezaei-Shoshtari Hanna Yurchyk Scott Fujimoto Doina Precup David Meger 104 0 0 03 Jan 2025
Unbiased GNN Learning via Fairness-Aware Subgraph Diffusion Abdullah Alchihabi Yuhong Guo DiffM 50 0 0 03 Jan 2025
Fairness without Demographics through Learning Graph of Gradients Yingtao Luo Zerui Li Qiang Liu Jun Zhu 118 0 0 31 Dec 2024
Constructing Fair Latent Space for Intersection of Fairness and Explainability Hyungjun Joo Hyeonggeun Han Sehwan Kim Sangwoo Hong Jungwoo Lee 59 0 0 23 Dec 2024
FairREAD: Re-fusing Demographic Attributes after Disentanglement for Fair Medical Image Classification Yicheng Gao Jinkui Hao Bo Zhou 96 0 0 20 Dec 2024
Social Science Is Necessary for Operationalizing Socially Responsible Foundation Models Adam Davies Elisa Nguyen Michael Simeone Erik Johnston Martin Gubri 142 0 0 20 Dec 2024
Who's the (Multi-)Fairest of Them All: Rethinking Interpolation-Based Data Augmentation Through the Lens of Multicalibration Karina Halevy Karly Hou Charumathi Badrinath 148 0 0 13 Dec 2024
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 177 5 0 13 Nov 2024
A Review of Fairness and A Practical Guide to Selecting Context-Appropriate Fairness Metrics in Machine Learning Caleb J. S. Barr Olivia Erdelyi Paul D. Docherty Randolph C. Grace FaML 124 0 0 10 Nov 2024
ComFairGNN: Community Fair Graph Neural Network Yonas Sium Qi Li 85 0 0 07 Nov 2024
Feature Responsiveness Scores: Model-Agnostic Explanations for Recourse Seung Hyun Cheon Anneke Wernerfelt Sorelle A. Friedler Berk Ustun FaML FAtt 119 1 0 29 Oct 2024
Post-hoc Study of Climate Microtargeting on Social Media Ads with LLMs: Thematic Insights and Fairness Evaluation Tunazzina Islam Dan Goldwasser 87 1 0 07 Oct 2024
Rethinking Fair Representation Learning for Performance-Sensitive Tasks Charles Jones Fabio De Sousa Ribeiro Mélanie Roschewitz Daniel Coelho De Castro Ben Glocker FaML OOD CML 181 2 0 05 Oct 2024
Fair Decentralized Learning Sayan Biswas Anne-Marie Kermarrec Rishi Sharma Thibaud Trinca M. Vos FedML 81 0 0 03 Oct 2024
PFGuard: A Generative Framework with Privacy and Fairness Safeguards Soyeon Kim Yuji Roh Geon Heo Steven Euijong Whang 50 0 0 03 Oct 2024
Fair Class-Incremental Learning using Sample Weighting Jaeyoung Park Minsu Kim Steven Euijong Whang 56 0 0 02 Oct 2024
Does RAG Introduce Unfairness in LLMs? Evaluating Fairness in Retrieval-Augmented Generation Systems Xuyang Wu Shuowei Li Hsin-Tai Wu Zhiqiang Tao Yi Fang 162 12 0 29 Sep 2024
Counterfactual Fairness by Combining Factual and Counterfactual Predictions Zeyu Zhou Tianci Liu Ruqi Bai Jing Gao Murat Kocaoglu David I. Inouye 70 2 0 03 Sep 2024
Multi-Output Distributional Fairness via Post-Processing Gang Li Qihang Lin Ayush Ghosh Tianbao Yang 106 0 0 31 Aug 2024
Threshold Filtering Packing for Supervised Fine-Tuning: Training Related Samples within Packs Jiancheng Dong Lei Jiang Wei Jin Lu Cheng 61 1 0 18 Aug 2024
To which reference class do you belong? Measuring racial fairness of reference classes with normative modeling S. Rutherford T. Wolfers Charlotte J. Fraza Nathaniel G. Harrnet Christian F. Beckmann H. Ruhé A. Marquand CML 67 3 0 26 Jul 2024
EARN Fairness: Explaining, Asking, Reviewing, and Negotiating Artificial Intelligence Fairness Metrics Among Stakeholders Lin Luo Yuri Nakao Mathieu Chollet Hiroya Inakoshi Simone Stumpf 51 1 0 16 Jul 2024
New User Event Prediction Through the Lens of Causal Inference H. Yuchi Shixiang Zhu Li Dong Yigit M. Arisoy Matthew C. Spencer 59 0 0 08 Jul 2024
Laminator: Verifiable ML Property Cards using Hardware-assisted Attestations Vasisht Duddu Oskari Jarvinen Lachlan J. Gunn Nirmal Asokan 85 1 0 25 Jun 2024
Resource-constrained Fairness Sofie Goethals Eoin Delaney Brent Mittelstadt Christopher Russell FaML 98 1 0 03 Jun 2024
Generalization Error Bounds for Learning under Censored Feedback Yifan Yang Ali Payani Parinaz Naghizadeh Ardabili 40 0 0 14 Apr 2024
PraFFL: A Preference-Aware Scheme in Fair Federated Learning Rongguang Ye Wei-Bin Kou Ming Tang FedML 46 5 0 13 Apr 2024
Balanced Mixed-Type Tabular Data Synthesis with Diffusion Models Zeyu Yang Peikun Guo Khadija Zanna Akane Sano Xiaoxue Yang Akane Sano DiffM 69 9 0 12 Apr 2024
FairSIN: Achieving Fairness in Graph Neural Networks through Sensitive Information Neutralization Cheng Yang Jixi Liu Yunhe Yan Chuan Shi 49 11 0 19 Mar 2024
Specification Overfitting in Artificial Intelligence Benjamin Roth Pedro Henrique Luz de Araujo Yuxi Xia Saskia Kaltenbrunner Christoph Korab 117 1 0 13 Mar 2024
Fairness Risks for Group-conditionally Missing Demographics Kaiqi Jiang Wenzhe Fan Mao Li Xinhua Zhang 131 0 0 20 Feb 2024