Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness

14 November 2017

Papers citing "Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness"

50 / 443 papers shown

Title
A Sociotechnical View of Algorithmic Fairness Mateusz Dolata Stefan Feuerriegel Gerhard Schwabe FaML 32 94 0 27 Sep 2021
Evaluating Debiasing Techniques for Intersectional Biases Shivashankar Subramanian Xudong Han Timothy Baldwin Trevor Cohn Lea Frermann 110 48 0 21 Sep 2021
Toward a Fairness-Aware Scoring System for Algorithmic Decision-Making Yi Yang Ying Nian Wu Mei Li Xiangyu Chang Yong Tan FaML 23 0 0 21 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
Omnipredictors Parikshit Gopalan Adam Tauman Kalai Omer Reingold Vatsal Sharan Udi Wieder 36 47 0 11 Sep 2021
Towards Out-Of-Distribution Generalization: A Survey Jiashuo Liu Zheyan Shen Yue He Xingxuan Zhang Renzhe Xu Han Yu Peng Cui CML OOD 69 519 0 31 Aug 2021
A comparison of approaches to improve worst-case predictive model performance over patient subpopulations Stephen R. Pfohl Haoran Zhang Yizhe Xu Agata Foryciarz Marzyeh Ghassemi N. Shah OOD 34 22 0 27 Aug 2021
Social Norm Bias: Residual Harms of Fairness-Aware Algorithms Myra Cheng Maria De-Arteaga Lester W. Mackey Adam Tauman Kalai FaML 35 7 0 25 Aug 2021
Identifying Biased Subgroups in Ranking and Classification Eliana Pastor Luca de Alfaro Elena Baralis CML 21 11 0 17 Aug 2021
Contemporary Symbolic Regression Methods and their Relative Performance William La Cava Patryk Orzechowski Bogdan Burlacu Fabrício Olivetti de Francca M. Virgolin Ying Jin M. Kommenda J. Moore 62 253 0 29 Jul 2021
Implicit Rate-Constrained Optimization of Non-decomposable Objectives Abhishek Kumar Harikrishna Narasimhan Andrew Cotter 21 10 0 23 Jul 2021
Responsible and Regulatory Conform Machine Learning for Medicine: A Survey of Challenges and Solutions Eike Petersen Yannik Potdevin Esfandiar Mohammadi Stephan Zidowitz Sabrina Breyer ... Sandra Henn Ludwig Pechmann M. Leucker P. Rostalski Christian Herzog FaML AILaw OOD 43 21 0 20 Jul 2021
Probabilistic Verification of Neural Networks Against Group Fairness Bing-Jie Sun Jun Sun Ting Dai Lijun Zhang AAML 21 22 0 18 Jul 2021
FairBalance: How to Achieve Equalized Odds With Data Pre-processing Zhe Yu Joymallya Chakraborty Tim Menzies FaML 49 3 0 17 Jul 2021
Multiaccurate Proxies for Downstream Fairness Emily Diana Wesley Gill Michael Kearns K. Kenthapadi Aaron Roth Saeed Sharifi-Malvajerdi 35 21 0 09 Jul 2021
The Price of Diversity H. Bandi Dimitris Bertsimas 32 0 0 03 Jul 2021
Non-Comparative Fairness for Human-Auditing and Its Relation to Traditional Fairness Notions Mukund Telukunta Venkata Sriram Siddhardh Nadendla 28 0 0 29 Jun 2021
Deep Clustering based Fair Outlier Detection Hanyu Song Peizhao Li Hongfu Liu FaML 14 33 0 09 Jun 2021
A Clarification of the Nuances in the Fairness Metrics Landscape Alessandro Castelnovo Riccardo Crupi Greta Greco D. Regoli Ilaria Giuseppina Penco A. Cosentini FaML 17 182 0 01 Jun 2021
Fair Representations by Compression Xavier Gitiaux Huzefa Rangwala FaML 30 14 0 28 May 2021
InfoFair: Information-Theoretic Intersectional Fairness Jian Kang Tiankai Xie Xintao Wu Ross Maciejewski Hanghang Tong FaML 21 20 0 24 May 2021
Multi-group Agnostic PAC Learnability G. Rothblum G. Yona FaML 44 38 0 20 May 2021
Measuring Model Fairness under Noisy Covariates: A Theoretical Perspective Flavien Prost Pranjal Awasthi Nicholas Blumm A. Kumthekar Trevor Potter Li Wei Xuezhi Wang Ed H. Chi Jilin Chen Alex Beutel 50 15 0 20 May 2021
Improving Fairness of AI Systems with Lossless De-biasing Yan Zhou Murat Kantarcioglu Chris Clifton 33 12 0 10 May 2021
Online certification of preference-based fairness for personalized recommender systems Virginie Do S. Corbett-Davies Jamal Atif Nicolas Usunier FaML MLAU 4 41 0 29 Apr 2021
Multi-fairness under class-imbalance Arjun Roy Vasileios Iosifidis Eirini Ntoutsi FaML 19 6 0 27 Apr 2021
Representative & Fair Synthetic Data P. Tiwald Alexandra Ebert Daniel Soukup 23 12 0 07 Apr 2021
Individually Fair Gradient Boosting Alexander Vargo Fan Zhang Mikhail Yurochkin Yuekai Sun FaML FedML 24 15 0 31 Mar 2021
Multicalibrated Partitions for Importance Weights Parikshit Gopalan Omer Reingold Vatsal Sharan Udi Wieder 21 11 0 10 Mar 2021
Constrained Learning with Non-Convex Losses Luiz F. O. Chamon Santiago Paternain Miguel Calvo-Fullana Alejandro Ribeiro 16 34 0 08 Mar 2021
Software-Supported Audits of Decision-Making Systems: Testing Google and Facebook's Political Advertising Policies J. N. Matias Austin Hounsel Nick Feamster MLAU 25 15 0 26 Feb 2021
A Stochastic Optimization Framework for Fair Risk Minimization Andrew Lowy Sina Baharlouei Rakesh Pavan Meisam Razaviyayn Ahmad Beirami FaML 30 21 0 24 Feb 2021
Everything is Relative: Understanding Fairness with Optimal Transport Kweku Kwegyir-Aggrey Rebecca Santorella Sarah M. Brown OT 16 3 0 20 Feb 2021
Lexicographically Fair Learning: Algorithms and Generalization Emily Diana Wesley Gill Ira Globus-Harris Michael Kearns Aaron Roth Saeed Sharifi-Malvajerdi FedML FaML 67 9 0 16 Feb 2021
Technical Challenges for Training Fair Neural Networks Valeriia Cherepanova V. Nanda Micah Goldblum John P. Dickerson Tom Goldstein FaML 25 22 0 12 Feb 2021
Problematic Machine Behavior: A Systematic Literature Review of Algorithm Audits Jack Bandy MLAU 21 112 0 03 Feb 2021
Fairness for Unobserved Characteristics: Insights from Technological Impacts on Queer Communities Nenad Tomašev Kevin R. McKee Jackie Kay Shakir Mohamed FaML 30 86 0 03 Feb 2021
Soliciting Stakeholders' Fairness Notions in Child Maltreatment Predictive Systems H. Cheng Logan Stapleton Ruiqi Wang Paige E Bullock Alexandra Chouldechova Zhiwei Steven Wu Haiyi Zhu FaML 23 66 0 01 Feb 2021
Computability, Complexity, Consistency and Controllability: A Four C's Framework for cross-disciplinary Ethical Algorithm Research Elija Perrier 27 2 0 30 Jan 2021
Through the Data Management Lens: Experimental Analysis and Evaluation of Fair Classification Maliha Tashfia Islam Anna Fariha A. Meliou Babak Salimi FaML 30 25 0 18 Jan 2021
Online Multivalid Learning: Means, Moments, and Prediction Intervals Varun Gupta Christopher Jung Georgy Noarov Mallesh M. Pai Aaron Roth 52 39 0 05 Jan 2021
Characterizing Intersectional Group Fairness with Worst-Case Comparisons A. Ghosh Lea Genuit Mary Reagan FaML 96 51 0 05 Jan 2021
Fairness in Machine Learning L. Oneto Silvia Chiappa FaML 256 492 0 31 Dec 2020
Recent advances in deep learning theory Fengxiang He Dacheng Tao AI4CE 24 50 0 20 Dec 2020
Fair for All: Best-effort Fairness Guarantees for Classification A. Krishnaswamy Zhihao Jiang Kangning Wang Yu Cheng Kamesh Munagala FaML 20 10 0 18 Dec 2020
WILDS: A Benchmark of in-the-Wild Distribution Shifts Pang Wei Koh Shiori Sagawa Henrik Marklund Sang Michael Xie Marvin Zhang ... A. Kundaje Emma Pierson Sergey Levine Chelsea Finn Percy Liang OOD 106 1,386 0 14 Dec 2020
FairOD: Fairness-aware Outlier Detection Shubhranshu Shekhar Neil Shah Leman Akoglu 34 37 0 05 Dec 2020
Outcome Indistinguishability Cynthia Dwork Michael P. Kim Omer Reingold G. Rothblum G. Yona 22 61 0 26 Nov 2020
FairLens: Auditing Black-box Clinical Decision Support Systems Cecilia Panigutti Alan Perotti Andre' Panisson P. Bajardi D. Pedreschi 33 66 0 08 Nov 2020
Minimax Group Fairness: Algorithms and Experiments Emily Diana Wesley Gill Michael Kearns K. Kenthapadi Aaron Roth FaML FedML 22 23 0 05 Nov 2020