Papers citing 'Fair prediction with disparate impact: A study of bias in recidivism prediction instruments'

Title
Predictive Multiplicity in Classification Charles Marx Flavio du Pin Calmon Berk Ustun 224 162 0 14 Sep 2019
Learning Fair Rule Lists Ulrich Aïvodji Julien Ferry Sébastien Gambs Marie-José Huguet Mohamed Siala FaML 83 11 0 09 Sep 2019
Optimizing Generalized Rate Metrics through Game Equilibrium Harikrishna Narasimhan Andrew Cotter Maya R. Gupta 69 4 0 06 Sep 2019
Quantifying Infra-Marginality and Its Trade-off with Group Fairness Arpita Biswas Siddharth Barman Amit Deshpande Amit Sharma 41 3 0 03 Sep 2019
Fairness Warnings and Fair-MAML: Learning Fairly with Minimal Data Dylan Slack Sorelle A. Friedler Emile Givental FaML 144 55 0 24 Aug 2019
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 764 4,688 0 23 Aug 2019
Data Management for Causal Algorithmic Fairness Babak Salimi B. Howe Dan Suciu CML FaML 104 24 0 20 Aug 2019
Towards Reducing Biases in Combining Multiple Experts Online Yi Sun Iván Díaz Alfredo Cuesta-Infante K. Veeramachaneni FaML 57 0 0 19 Aug 2019
Tackling Algorithmic Bias in Neural-Network Classifiers using Wasserstein-2 Regularization Laurent Risser Alberto González Sanz Quentin Vincenot Jean-Michel Loubes 167 22 0 15 Aug 2019
With Malice Towards None: Assessing Uncertainty via Equalized Coverage Yaniv Romano Rina Foygel Barber C. Sabatti Emmanuel J. Candès UQCV 208 70 0 15 Aug 2019
Fair quantile regression Dana Yang John D. Lafferty D. Pollard 61 6 0 19 Jul 2019
A Causal Bayesian Networks Viewpoint on Fairness Silvia Chiappa William S. Isaac FaML 102 63 0 15 Jul 2019
Counterfactual Reasoning for Fair Clinical Risk Prediction Stephen Pfohl Tony Duan D. Ding N. Shah OOD CML 81 60 0 14 Jul 2019
Fair Kernel Regression via Fair Feature Embedding in Kernel Space Austin Okray Hui Hu Chao Lan FaML 88 4 0 04 Jul 2019
Operationalizing Individual Fairness with Pairwise Fair Representations Preethi Lahoti Krishna P. Gummadi Gerhard Weikum FaML 155 108 0 02 Jul 2019
The Sensitivity of Counterfactual Fairness to Unmeasured Confounding Niki Kilbertus Philip J. Ball Matt J. Kusner Adrian Weller Ricardo M. A. Silva 137 58 0 01 Jul 2019
Training individually fair ML models with Sensitive Subspace Robustness Mikhail Yurochkin Amanda Bower Yuekai Sun FaML OOD 118 120 0 28 Jun 2019
Learning Fair Representations for Kernel Models Zilong Tan Samuel Yeom Matt Fredrikson Ameet Talwalkar FaML 134 25 0 27 Jun 2019
Fairness criteria through the lens of directed acyclic graphical models Benjamin R. Baer Daniel E. Gilbert M. Wells FaML 80 6 0 26 Jun 2019
Age and gender bias in pedestrian detection algorithms Martim Brandao 86 48 0 25 Jun 2019
FlipTest: Fairness Testing via Optimal Transport Emily Black Samuel Yeom Matt Fredrikson 203 96 0 21 Jun 2019
Mitigating Bias in Algorithmic Hiring: Evaluating Claims and Practices Manish Raghavan Solon Barocas Jon M. Kleinberg K. Levy MLAU FaML 141 570 0 21 Jun 2019
Inherent Tradeoffs in Learning Fair Representations Han Zhao Geoffrey J. Gordon FaML 183 225 0 19 Jun 2019
The Price of Local Fairness in Multistage Selection V. Emelianov G. Arvanitakis Nicolas Gast Krishna P. Gummadi Patrick Loiseau 77 18 0 15 Jun 2019
Principled Frameworks for Evaluating Ethics in NLP Systems Shrimai Prabhumoye Elijah Mayfield A. Black 60 7 0 14 Jun 2019
Understanding artificial intelligence ethics and safety David Leslie FaML AI4TS 82 378 0 11 Jun 2019
ProPublica's COMPAS Data Revisited M. Barenstein FaML 111 52 0 11 Jun 2019
Learning Fair Naive Bayes Classifiers by Discovering and Eliminating Discrimination Patterns YooJung Choi G. Farnadi Behrouz Babaki Karen Ullrich FaML 82 27 0 10 Jun 2019
Does Object Recognition Work for Everyone? Terrance Devries Ishan Misra Changhan Wang Laurens van der Maaten 156 269 0 06 Jun 2019
Near Neighbor: Who is the Fairest of Them All? Sariel Har-Peled S. Mahabadi 87 23 0 06 Jun 2019
Assessing Disparate Impacts of Personalized Interventions: Identifiability and Bounds Nathan Kallus Angela Zhou 99 11 0 04 Jun 2019
Disparate Vulnerability to Membership Inference Attacks B. Kulynych Mohammad Yaghini Giovanni Cherubin Michael Veale Carmela Troncoso 183 43 0 02 Jun 2019
Assessing Algorithmic Fairness with Unobserved Protected Class Using Data Combination Nathan Kallus Xiaojie Mao Angela Zhou FaML 149 163 0 01 Jun 2019
Metric Learning for Individual Fairness Christina Ilvento FaML 152 97 0 01 Jun 2019
Optimized Score Transformation for Consistent Fair Classification Dennis L. Wei Karthikeyan N. Ramamurthy Flavio du Pin Calmon 79 16 0 31 May 2019
Fair Regression: Quantitative Definitions and Reduction-based Algorithms Alekh Agarwal Miroslav Dudík Zhiwei Steven Wu FaML 147 257 0 30 May 2019
Efficient candidate screening under multiple tests and implications for fairness Lee Cohen Zachary Chase Lipton Yishay Mansour 73 34 0 27 May 2019
Achieving Fairness in Stochastic Multi-armed Bandit Problem Vishakha Patil Ganesh Ghalme V. Nair Y. Narahari FaML 105 5 0 27 May 2019
Equal Opportunity and Affirmative Action via Counterfactual Predictions Yixin Wang Dhanya Sridhar David M. Blei FaML 91 21 0 26 May 2019
Compositional Fairness Constraints for Graph Embeddings A. Bose William L. Hamilton FaML 182 266 0 25 May 2019
Average Individual Fairness: Algorithms, Generalization and Experiments Michael Kearns Aaron Roth Saeed Sharifi-Malvajerdi FaML FedML 160 89 0 25 May 2019
Contrastive Fairness in Machine Learning Tapabrata (Rohan) Chakraborty A. Patra Alison Noble FaML 158 8 0 17 May 2019
Fairness in Machine Learning with Tractable Models Michael Varley Vaishak Belle FaML 77 11 0 16 May 2019
Fair Classification and Social Welfare Lily Hu Yiling Chen FaML 125 94 0 01 May 2019
Learning Fair Representations via an Adversarial Framework Rui Feng Yang Yang Yuehan Lyu Chenhao Tan Luke Huan Chunping Wang FaML 96 56 0 30 Apr 2019
Tracking and Improving Information in the Service of Fairness Sumegha Garg Michael P. Kim Omer Reingold FaML 63 14 0 22 Apr 2019
Predicting Brazilian court decisions André Lage-Freitas H. Allende-Cid O. Santana Lívia de Oliveira-Lage ELM 104 42 0 20 Apr 2019
FairVis: Visual Analytics for Discovering Intersectional Bias in Machine Learning Ángel Alexander Cabrera Will Epperson Fred Hohman Minsuk Kahng Jamie Morgenstern Duen Horng Chau FaML 197 190 0 10 Apr 2019
Attraction-Repulsion clustering with applications to fairness E. del Barrio Hristo Inouzhe Jean-Michel Loubes FaML 109 2 0 10 Apr 2019
What's in a Name? Reducing Bias in Bios without Access to Protected Attributes Alexey Romanov Maria De-Arteaga Hanna M. Wallach J. Chayes C. Borgs Alexandra Chouldechova S. Geyik K. Kenthapadi Anna Rumshisky Adam Tauman Kalai 87 82 0 10 Apr 2019