Inherent Trade-Offs in the Fair Determination of Risk Scores

19 September 2016

Papers citing "Inherent Trade-Offs in the Fair Determination of Risk Scores"

50 / 736 papers shown

Title
A Sociotechnical View of Algorithmic Fairness Mateusz Dolata Stefan Feuerriegel Gerhard Schwabe FaML 32 94 0 27 Sep 2021
Uncertainty Toolbox: an Open-Source Library for Assessing, Visualizing, and Improving Uncertainty Quantification Youngseog Chung I. Char Han Guo J. Schneider Willie Neiswanger 43 71 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 20 0 0 21 Sep 2021
Towards Automatic Bias Detection in Knowledge Graphs Daphna Keidar Mian Zhong Ce Zhang Yash Raj Shrestha B. Paudel 59 11 0 19 Sep 2021
Finding Representative Group Fairness Metrics Using Correlation Estimations Hadis Anahideh Nazanin Nezami Abolfazl Asudeh 29 1 0 13 Sep 2021
Omnipredictors Parikshit Gopalan Adam Tauman Kalai Omer Reingold Vatsal Sharan Udi Wieder 36 47 0 11 Sep 2021
Gradual (In)Compatibility of Fairness Criteria Corinna Hertweck T. Raz 30 12 0 09 Sep 2021
Fair Conformal Predictors for Applications in Medical Imaging Charles Lu A. Lemay Ken Chang K. Hoebel Jayashree Kalpathy-Cramer MedIm 22 67 0 09 Sep 2021
A Systematic Approach to Group Fairness in Automated Decision Making Corinna Hertweck Christoph Heitz FaML 18 2 0 09 Sep 2021
Amazon SageMaker Clarify: Machine Learning Bias Detection and Explainability in the Cloud Michaela Hardt Xiaoguang Chen Xiaoyi Cheng Michele Donini J. Gelman ... Muhammad Bilal Zafar Sanjiv Ranjan Das Kevin Haas Tyler Hill K. Kenthapadi ELM FaML 36 42 0 07 Sep 2021
Recommendation Fairness: From Static to Dynamic De-Fu Zhang Jun Wang OffRL 24 15 0 05 Sep 2021
Impossibility Results in AI: A Survey Mario Brčič Roman V. Yampolskiy 29 25 0 01 Sep 2021
FADE: FAir Double Ensemble Learning for Observable and Counterfactual Outcomes Alan Mishler Edward H. Kennedy FaML 35 23 0 01 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 31 22 0 27 Aug 2021
FARF: A Fair and Adaptive Random Forests Classifier Wenbin Zhang Albert Bifet Xiangliang Zhang Jeremy C. Weiss Wolfgang Nejdl FaML 21 52 0 17 Aug 2021
Measuring Wikipedia Article Quality in One Dimension by Extending ORES with Ordinal Regression Nathan TeBlunthuis 11 6 0 15 Aug 2021
The Sharpe predictor for fairness in machine learning Suyun Liu Luis Nunes Vicente 43 3 0 13 Aug 2021
Under the Radar -- Auditing Fairness in ML for Humanitarian Mapping L. Kondmann Xiao Xiang Zhu 41 7 0 04 Aug 2021
Top-label calibration and multiclass-to-binary reductions Chirag Gupta Aaditya Ramdas 25 35 0 18 Jul 2021
A Survey on Bias in Visual Datasets Simone Fabbrizzi Symeon Papadopoulos Eirini Ntoutsi Y. Kompatsiaris 132 122 0 16 Jul 2021
On the impossibility of non-trivial accuracy under fairness constraints Carlos Pinzón C. Palamidessi Pablo Piantanida Frank D. Valencia FaML 53 1 0 14 Jul 2021
Fairness-aware Summarization for Justified Decision-Making Moniba Keymanesh T. Berger-Wolf Micha Elsner Srinivasan Parthasarathy 22 5 0 13 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
Escaping the Impossibility of Fairness: From Formal to Substantive Algorithmic Fairness Ben Green FaML 25 38 0 09 Jul 2021
Impossibility results for fair representations Tosca Lechner Shai Ben-David Sushant Agarwal Nivasini Ananthakrishnan FaML 24 14 0 07 Jul 2021
Fair Decision Rules for Binary Classification Connor Lawless Oktay Gunluk FaML 26 6 0 03 Jul 2021
The Price of Diversity H. Bandi Dimitris Bertsimas 27 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
Multi-objective Asynchronous Successive Halving Robin Schmucker Michele Donini Muhammad Bilal Zafar David Salinas Cédric Archambeau 32 24 0 23 Jun 2021
Uncertain Decisions Facilitate Better Preference Learning Cassidy Laidlaw Stuart J. Russell 30 11 0 19 Jun 2021
Fairness as Equality of Opportunity: Normative Guidance from Political Philosophy Falaah Arif Khan Eleni Manis Julia Stoyanovich FaML 19 9 0 15 Jun 2021
Characterizing the risk of fairwashing Ulrich Aïvodji Hiromi Arai Sébastien Gambs Satoshi Hara 23 27 0 14 Jun 2021
FairCanary: Rapid Continuous Explainable Fairness Avijit Ghosh Aalok Shanbhag Christo Wilson 11 20 0 13 Jun 2021
Cooperative Multi-Agent Fairness and Equivariant Policies Niko A. Grupen B. Selman Daniel D. Lee FaML 21 11 0 10 Jun 2021
Deep Clustering based Fair Outlier Detection Hanyu Song Peizhao Li Hongfu Liu FaML 14 33 0 09 Jun 2021
Stateful Strategic Regression Keegan Harris Hoda Heidari Zhiwei Steven Wu 30 29 0 07 Jun 2021
FairCal: Fairness Calibration for Face Verification Tiago Salvador Stephanie Cairns Vikram S. Voleti Noah Marshall Adam M. Oberman FaML 30 19 0 07 Jun 2021
A Near-Optimal Algorithm for Debiasing Trained Machine Learning Models Ibrahim M. Alabdulmohsin Mario Lucic 27 22 0 06 Jun 2021
Towards Fairness Certification in Artificial Intelligence Tatiana Tommasi S. Bucci Barbara Caputo P. Asinari FaML 19 3 0 04 Jun 2021
Addressing the Long-term Impact of ML Decisions via Policy Regret David Lindner Hoda Heidari Andreas Krause OffRL 25 6 0 02 Jun 2021
Information Theoretic Measures for Fairness-aware Feature Selection S. Khodadadian M. Nafea AmirEmad Ghassami Negar Kiyavash 22 8 0 01 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 15 182 0 01 Jun 2021
Model Mis-specification and Algorithmic Bias Runshan Fu Yang Liang Peter Zhang 17 0 0 31 May 2021
Dynaboard: An Evaluation-As-A-Service Platform for Holistic Next-Generation Benchmarking Zhiyi Ma Kawin Ethayarajh Tristan Thrush Somya Jain Ledell Yu Wu Robin Jia Christopher Potts Adina Williams Douwe Kiela ELM 35 57 0 21 May 2021
Multi-group Agnostic PAC Learnability G. Rothblum G. Yona FaML 41 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
Beyond "Fairness:" Structural (In)justice Lenses on AI for Education Michael A. Madaio Su Lin Blodgett Elijah Mayfield Ezekiel Dixon-Román 22 27 0 18 May 2021
Cohort Shapley value for algorithmic fairness Masayoshi Mase Art B. Owen Benjamin B. Seiler 18 14 0 15 May 2021
Towards Equity and Algorithmic Fairness in Student Grade Prediction Weijie Jiang Z. Pardos FaML 33 47 0 14 May 2021