Multiaccuracy: Black-Box Post-Processing for Fairness in Classification

31 May 2018

Papers citing "Multiaccuracy: Black-Box Post-Processing for Fairness in Classification"

50 / 54 papers shown

Title
How Global Calibration Strengthens Multiaccuracy Sílvia Casacuberta Parikshit Gopalan Varun Kanade Omer Reingold 27 0 0 21 Apr 2025
FaiREE: Fair Classification with Finite-Sample and Distribution-Free Guarantee Puheng Li James Y. Zou Linjun Zhang FaML 82 4 0 13 Mar 2025
Counterfactually Fair Reinforcement Learning via Sequential Data Preprocessing Jitao Wang C. Shi John D. Piette Joshua R. Loftus Donglin Zeng Zhenke Wu OffRL 64 0 0 10 Jan 2025
An experimental study on fairness-aware machine learning for credit scoring problem Huyen Giang Thi Thu Thang Viet Doan Tai Le Quy FaML 45 0 0 31 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 75 0 0 13 Dec 2024
Fine-Grained Verifiers: Preference Modeling as Next-token Prediction in Vision-Language Alignment Chenhang Cui An Zhang Yiyang Zhou Zhaorun Chen Gelei Deng Huaxiu Yao Tat-Seng Chua 68 4 0 18 Oct 2024
Automatically Adaptive Conformal Risk Control Vincent Blot Anastasios Nikolas Angelopoulos Michael I Jordan Nicolas Brunel AI4CE 33 2 0 25 Jun 2024
Multicalibration for Confidence Scoring in LLMs Gianluca Detommaso Martín Bertrán Riccardo Fogliato Aaron Roth 24 12 0 06 Apr 2024
Federated Learning on Patient Data for Privacy-Protecting Polycystic Ovary Syndrome Treatment Lucía Morris Tori Qiu Nikhil Raghuraman 25 0 0 22 Aug 2023
Fairness Explainability using Optimal Transport with Applications in Image Classification Philipp Ratz Franccois Hu Arthur Charpentier 15 0 0 22 Aug 2023
Oracle Efficient Online Multicalibration and Omniprediction Sumegha Garg Christopher Jung Omer Reingold Aaron Roth 21 18 0 18 Jul 2023
Insufficiently Justified Disparate Impact: A New Criterion for Subgroup Fairness Neil Menghani E. McFowland Daniel B. Neill 27 0 0 19 Jun 2023
Beyond Confidence: Reliable Models Should Also Consider Atypicality Mert Yuksekgonul Linjun Zhang James Y. Zou Carlos Guestrin 32 20 0 29 May 2023
Delving into Identify-Emphasize Paradigm for Combating Unknown Bias Bowen Zhao Chen Chen Qian-Wei Wang Anfeng He Shutao Xia 29 1 0 22 Feb 2023
On the Richness of Calibration Benedikt Höltgen Robert C. Williamson 13 9 0 08 Feb 2023
Hyper-parameter Tuning for Fair Classification without Sensitive Attribute Access A. Veldanda Ivan Brugere Sanghamitra Dutta Alan Mishler S. Garg 30 5 0 02 Feb 2023
Multicalibration as Boosting for Regression Ira Globus-Harris Declan Harrison Michael Kearns Aaron Roth Jessica Sorrell 25 21 0 31 Jan 2023
Comparative Learning: A Sample Complexity Theory for Two Hypothesis Classes Lunjia Hu Charlotte Peale 35 6 0 16 Nov 2022
Loss Minimization through the Lens of Outcome Indistinguishability Parikshit Gopalan Lunjia Hu Michael P. Kim Omer Reingold Udi Wieder UQCV 30 31 0 16 Oct 2022
Making Decisions under Outcome Performativity Michael P. Kim Juan C. Perdomo 32 20 0 04 Oct 2022
Fairness Reprogramming Guanhua Zhang Yihua Zhang Yang Zhang Wenqi Fan Qing Li Sijia Liu Shiyu Chang AAML 83 38 0 21 Sep 2022
Debiasing Deep Chest X-Ray Classifiers using Intra- and Post-processing Methods Ricards Marcinkevics Ece Ozkan Julia E. Vogt 14 18 0 26 Jul 2022
Distilling Model Failures as Directions in Latent Space Saachi Jain Hannah Lawrence Ankur Moitra A. Madry 18 89 0 29 Jun 2022
Towards Intersectionality in Machine Learning: Including More Identities, Handling Underrepresentation, and Performing Evaluation Angelina Wang V. V. Ramaswamy Olga Russakovsky FaML 26 92 0 10 May 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
Low-Degree Multicalibration Parikshit Gopalan Michael P. Kim M. Singhal Shengjia Zhao FaML UQCV 22 37 0 02 Mar 2022
Fair Wrapping for Black-box Predictions Alexander Soen Ibrahim M. Alabdulmohsin Sanmi Koyejo Yishay Mansour Nyalleng Moorosi Richard Nock Ke Sun Lexing Xie FaML 51 6 0 31 Jan 2022
Algorithmic encoding of protected characteristics in image-based models for disease detection Ben Glocker Charles Jones Mélanie Bernhardt S. Winzeck 29 9 0 27 Oct 2021
FairFed: Enabling Group Fairness in Federated Learning Yahya H. Ezzeldin Shen Yan Chaoyang He Emilio Ferrara A. Avestimehr FedML 28 197 0 02 Oct 2021
Omnipredictors Parikshit Gopalan Adam Tauman Kalai Omer Reingold Vatsal Sharan Udi Wieder 11 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 49 516 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 23 22 0 27 Aug 2021
Fairness in Ranking under Uncertainty Ashudeep Singh David Kempe Thorsten Joachims 28 49 0 14 Jul 2021
Calibrating Predictions to Decisions: A Novel Approach to Multi-Class Calibration Shengjia Zhao Michael P. Kim Roshni Sahoo Tengyu Ma Stefano Ermon 20 55 0 12 Jul 2021
Multiaccurate Proxies for Downstream Fairness Emily Diana Wesley Gill Michael Kearns K. Kenthapadi Aaron Roth Saeed Sharifi-Malvajerdi 29 21 0 09 Jul 2021
The Spotlight: A General Method for Discovering Systematic Errors in Deep Learning Models G. dÉon Jason dÉon J. R. Wright Kevin Leyton-Brown 20 74 0 01 Jul 2021
Understanding and Improving Fairness-Accuracy Trade-offs in Multi-Task Learning Yuyan Wang Xuezhi Wang Alex Beutel Flavien Prost Jilin Chen Ed H. Chi FaML 21 46 0 04 Jun 2021
Multi-group Agnostic PAC Learnability G. Rothblum G. Yona FaML 28 38 0 20 May 2021
Improving Fairness of AI Systems with Lossless De-biasing Yan Zhou Murat Kantarcioglu Chris Clifton 25 12 0 10 May 2021
Multicalibrated Partitions for Importance Weights Parikshit Gopalan Omer Reingold Vatsal Sharan Udi Wieder 13 11 0 10 Mar 2021
Characterizing Intersectional Group Fairness with Worst-Case Comparisons A. Ghosh Lea Genuit Mary Reagan FaML 86 51 0 05 Jan 2021
Outcome Indistinguishability Cynthia Dwork Michael P. Kim Omer Reingold G. Rothblum G. Yona 7 62 0 26 Nov 2020
Augmented Fairness: An Interpretable Model Augmenting Decision-Makers' Fairness Tong Wang M. Saar-Tsechansky 26 11 0 17 Nov 2020
One-vs.-One Mitigation of Intersectional Bias: A General Method to Extend Fairness-Aware Binary Classification Kenji Kobayashi Yuri Nakao FaML 19 8 0 26 Oct 2020
Fairness in Semi-supervised Learning: Unlabeled Data Help to Reduce Discrimination Tao Zhang Tianqing Zhu Jing Li Mengde Han Wanlei Zhou Philip S. Yu FaML 18 49 0 25 Sep 2020
Causal intersectionality for fair ranking Ke Yang Joshua R. Loftus Julia Stoyanovich 24 40 0 15 Jun 2020
Review of Mathematical frameworks for Fairness in Machine Learning E. del Barrio Paula Gordaliza Jean-Michel Loubes FaML FedML 15 38 0 26 May 2020
Neuron Shapley: Discovering the Responsible Neurons Amirata Ghorbani James Y. Zou FAtt TDI 25 108 0 23 Feb 2020
Fair Active Learning Hadis Anahideh Abolfazl Asudeh Saravanan Thirumuruganathan FaML 41 51 0 06 Jan 2020
Auditing and Achieving Intersectional Fairness in Classification Problems Giulio Morina V. Oliinyk J. Waton Ines Marusic K. Georgatzis FaML 14 39 0 04 Nov 2019