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 59 0 0 26 May 2025
Transparency and Proportionality in Post-Processing Algorithmic Bias Correction Juliett Suárez Ferreira Marija Slavkovik Jorge Casillas 52 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 47 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 129 1 0 09 May 2025
Fairness Perceptions in Regression-based Predictive Models Mukund Telukunta Venkata Sriram Siddhardh Nadendla Morgan Stuart Casey Canfield 61 0 0 08 May 2025
Whence Is A Model Fair? Fixing Fairness Bugs via Propensity Score Matching Kewen Peng Yicheng Yang Hao Zhuo 83 0 0 23 Apr 2025
Building Trustworthy Multimodal AI: A Review of Fairness, Transparency, and Ethics in Vision-Language Tasks Mohammad Saleha Azadeh Tabatabaeib 83 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 89 0 0 08 Apr 2025
The Cost of Local and Global Fairness in Federated Learning Yuying Duan Gelei Xu Yiyu Shi Michael Lemmon FedML 99 0 0 27 Mar 2025
FaiREE: Fair Classification with Finite-Sample and Distribution-Free Guarantee Puheng Li James Zou Linjun Zhang FaML 352 4 0 13 Mar 2025
Investigating the Relationship Between Debiasing and Artifact Removal using Saliency Maps Lukasz Sztukiewicz Ignacy Stepka Michał Wiliński Jerzy Stefanowski 112 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 166 0 0 19 Feb 2025
Conformal Prediction Sets Can Cause Disparate Impact Jesse C. Cresswell Bhargava Kumar Yi Sui Mouloud Belbahri FaML 365 1 0 17 Feb 2025
Revisiting the Berkeley Admissions data: Statistical Tests for Causal Hypotheses Sourbh Bhadane Joris Mooij Philip A. Boeken O. Zoeter 121 0 0 17 Feb 2025
Differential Adjusted Parity for Learning Fair Representations Bucher Sahyouni Matthew Vowels Liqun Chen Simon Hadfield FaML 128 0 0 13 Feb 2025
DECAF: Learning to be Fair in Multi-agent Resource Allocation Ashwin Kumar William Yeoh 107 1 0 06 Feb 2025
Fairness through Difference Awareness: Measuring Desired Group Discrimination in LLMs Angelina Wang Michelle Phan Daniel E. Ho Sanmi Koyejo 81 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 119 0 0 10 Jan 2025
FairSense: Long-Term Fairness Analysis of ML-Enabled Systems Yining She Sumon Biswas Christian Kastner Eunsuk Kang 86 0 0 03 Jan 2025
Fairness in Reinforcement Learning with Bisimulation Metrics S. Rezaei-Shoshtari Hanna Yurchyk Scott Fujimoto Doina Precup David Meger 115 0 0 03 Jan 2025
Unbiased GNN Learning via Fairness-Aware Subgraph Diffusion Abdullah Alchihabi Yuhong Guo DiffM 57 0 0 03 Jan 2025
Fairness without Demographics through Learning Graph of Gradients Yingtao Luo Zerui Li Qiang Liu Jun Zhu 130 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 63 0 0 23 Dec 2024
FairREAD: Re-fusing Demographic Attributes after Disentanglement for Fair Medical Image Classification Yicheng Gao Jinkui Hao Bo Zhou 112 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 147 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 175 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 182 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 139 0 0 10 Nov 2024
ComFairGNN: Community Fair Graph Neural Network Yonas Sium Qi Li 93 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 141 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 100 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 198 2 0 05 Oct 2024
Fair Decentralized Learning Sayan Biswas Anne-Marie Kermarrec Rishi Sharma Thibaud Trinca M. Vos FedML 100 0 0 03 Oct 2024
PFGuard: A Generative Framework with Privacy and Fairness Safeguards Soyeon Kim Yuji Roh Geon Heo Steven Euijong Whang 69 0 0 03 Oct 2024
Fair Class-Incremental Learning using Sample Weighting Jaeyoung Park Minsu Kim Steven Euijong Whang 67 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 175 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 78 2 0 03 Sep 2024
Multi-Output Distributional Fairness via Post-Processing Gang Li Qihang Lin Ayush Ghosh Tianbao Yang 108 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 66 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 72 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 55 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 64 0 0 08 Jul 2024
Laminator: Verifiable ML Property Cards using Hardware-assisted Attestations Vasisht Duddu Oskari Jarvinen Lachlan J. Gunn Nirmal Asokan 92 1 0 25 Jun 2024
Resource-constrained Fairness Sofie Goethals Eoin Delaney Brent Mittelstadt Christopher Russell FaML 108 1 0 03 Jun 2024
Generalization Error Bounds for Learning under Censored Feedback Yifan Yang Ali Payani Parinaz Naghizadeh Ardabili 42 0 0 14 Apr 2024
PraFFL: A Preference-Aware Scheme in Fair Federated Learning Rongguang Ye Wei-Bin Kou Ming Tang FedML 48 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 80 9 0 12 Apr 2024
FairSIN: Achieving Fairness in Graph Neural Networks through Sensitive Information Neutralization Cheng Yang Jixi Liu Yunhe Yan Chuan Shi 51 11 0 19 Mar 2024
Specification Overfitting in Artificial Intelligence Benjamin Roth Pedro Henrique Luz de Araujo Yuxi Xia Saskia Kaltenbrunner Christoph Korab 148 1 0 13 Mar 2024
Fairness Risks for Group-conditionally Missing Demographics Kaiqi Jiang Wenzhe Fan Mao Li Xinhua Zhang 140 0 0 20 Feb 2024