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

Title
Fairness Constraints in Semi-supervised Learning Tao Zhang Tianqing Zhu Mengde Han Jing Li Wanlei Zhou Philip S. Yu FaML 145 7 0 14 Sep 2020
"And the Winner Is...": Dynamic Lotteries for Multi-group Fairness-Aware Recommendation Nasim Sonboli Robin Burke Nicholas Mattei Farzad Eskandanian Tian Gao FaML 101 12 0 05 Sep 2020
The Fairness-Accuracy Pareto Front Susan Wei Marc Niethammer FaML 177 36 0 25 Aug 2020
LiFT: A Scalable Framework for Measuring Fairness in ML Applications Sriram Vasudevan K. Kenthapadi FaML 145 59 0 14 Aug 2020
Deep F-measure Maximization for End-to-End Speech UnderstandingInterspeech (Interspeech), 2020 Leda Sari M. Hasegawa-Johnson FedML 93 0 0 08 Aug 2020
Distributionally Robust Losses for Latent Covariate MixturesOperational Research (OR), 2020 John C. Duchi Tatsunori Hashimoto Hongseok Namkoong 120 87 0 28 Jul 2020
An Empirical Characterization of Fair Machine Learning For Clinical Risk Prediction Stephen Pfohl Agata Foryciarz N. Shah FaML 232 128 0 20 Jul 2020
On Coresets for Fair Clustering in Metric and Euclidean Spaces and Their Applications Sayan Bandyapadhyay F. Fomin Kirill Simonov 117 47 0 20 Jul 2020
On Controllability of AI Roman V. Yampolskiy 178 15 0 19 Jul 2020
A Distributionally Robust Approach to Fair Classification Bahar Taşkesen Viet Anh Nguyen Daniel Kuhn Jose H. Blanchet FaML 152 65 0 18 Jul 2020
Technologies for Trustworthy Machine Learning: A Survey in a Socio-Technical Context Ehsan Toreini Mhairi Aitken Kovila P. L. Coopamootoo Karen Elliott Vladimiro González-Zelaya P. Missier Magdalene Ng Aad van Moorsel 252 19 0 17 Jul 2020
What If I Don't Like Any Of The Choices? The Limits of Preference Elicitation for Participatory Algorithm Design Samantha Robertson Niloufar Salehi 70 43 0 13 Jul 2020
Algorithmic Fairness in Education René F. Kizilcec Hansol Lee FaML 207 155 0 10 Jul 2020
Evaluation of Fairness Trade-offs in Predicting Student Success Hansol Lee René F. Kizilcec 67 32 0 30 Jun 2020
Machine learning fairness notions: Bridging the gap with real-world applications K. Makhlouf Sami Zhioua C. Palamidessi FaML 181 62 0 30 Jun 2020
Fair navigation planning: a humanitarian robot use case Martim Brandao 40 0 0 25 Jun 2020
SenSeI: Sensitive Set Invariance for Enforcing Individual FairnessInternational Conference on Learning Representations (ICLR), 2020 Mikhail Yurochkin Yuekai Sun FaML 157 52 0 25 Jun 2020
On Fair Selection in the Presence of Implicit VarianceACM Conference on Economics and Computation (EC), 2020 V. Emelianov Nicolas Gast Krishna P. Gummadi Patrick Loiseau 186 38 0 24 Jun 2020
Fairness with Overlapping Groups Forest Yang Moustapha Cissé Oluwasanmi Koyejo FaML 139 22 0 24 Jun 2020
Fair Performance Metric ElicitationNeural Information Processing Systems (NeurIPS), 2020 Gaurush Hiranandani Harikrishna Narasimhan Oluwasanmi Koyejo 147 19 0 23 Jun 2020
Distributional Individual Fairness in Clustering Nihesh Anderson S. Bera Syamantak Das Yang Liu FedML FaML 123 23 0 22 Jun 2020
How fair can we go in machine learning? Assessing the boundaries of fairness in decision trees Ana Valdivia Javier Sánchez-Monedero J. Casillas FaML 174 49 0 22 Jun 2020
Two Simple Ways to Learn Individual Fairness Metrics from Data Debarghya Mukherjee Mikhail Yurochkin Moulinath Banerjee Yuekai Sun FaML 155 104 0 19 Jun 2020
Fair clustering via equitable group representations Mohsen Abbasi Aditya Bhaskara Suresh Venkatasubramanian FaML FedML 234 95 0 19 Jun 2020
LimeOut: An Ensemble Approach To Improve Process Fairness Vaishnavi Bhargava Miguel Couceiro A. Napoli FaML 90 24 0 17 Jun 2020
Extending the Machine Learning Abstraction Boundary: A Complex Systems Approach to Incorporate Societal Context Donald Martin Vinodkumar Prabhakaran Jill A. Kuhlberg A. Smart William S. Isaac FaML 152 41 0 17 Jun 2020
Intra-Processing Methods for Debiasing Neural Networks Yash Savani Colin White G. NaveenSundar 160 48 0 15 Jun 2020
Towards Model-Agnostic Post-Hoc Adjustment for Balancing Ranking Fairness and Algorithm Utility Sen Cui Weishen Pan Changshui Zhang Haiwei Yang 153 14 0 15 Jun 2020
Fairness Under Feature Exemptions: Counterfactual and Observational MeasuresIEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2020 Sanghamitra Dutta Praveen Venkatesh Piotr (Peter) Mardziel Anupam Datta P. Grover 174 17 0 14 Jun 2020
Fair Influence Maximization: A Welfare Optimization ApproachAAAI Conference on Artificial Intelligence (AAAI), 2020 Aida Rahmattalabi S. Jabbari Himabindu Lakkaraju P. Vayanos Max Izenberg Ryan Brown Eric Rice Milind Tambe 85 59 0 14 Jun 2020
Fairness in Forecasting and Learning Linear Dynamical SystemsAAAI Conference on Artificial Intelligence (AAAI), 2020 Quan-Gen Zhou Jakub Mareˇcek Robert Shorten AI4TS 201 7 0 12 Jun 2020
Group-Fair Online Allocation in Continuous TimeNeural Information Processing Systems (NeurIPS), 2020 Semih Cayci Swati Gupta A. Eryilmaz FaML 122 22 0 11 Jun 2020
How Interpretable and Trustworthy are GAMs?Knowledge Discovery and Data Mining (KDD), 2020 C. Chang S. Tan Benjamin J. Lengerich Anna Goldenberg R. Caruana FAtt 198 86 0 11 Jun 2020
Analysis of Trade-offs in Fair Principal Component Analysis Based on Multi-objective OptimizationIEEE International Joint Conference on Neural Network (IJCNN), 2020 G. D. Pelegrina Renan D. B. Brotto L. Duarte R. Attux João Marcos Travassos Romano 119 5 0 11 Jun 2020
Hypergraph Clustering for Finding Diverse and Experienced Groups Ilya Amburg Nate Veldt Austin R. Benson 143 8 0 10 Jun 2020
Classification Under Misspecification: Halfspaces, Generalized Linear Models, and Connections to Evolvability Sitan Chen Frederic Koehler Ankur Moitra Morris Yau 151 22 0 08 Jun 2020
Principles to Practices for Responsible AI: Closing the Gap Daniel S. Schiff B. Rakova A. Ayesh Anat Fanti M. Lennon 160 104 0 08 Jun 2020
Achieving Equalized Odds by Resampling Sensitive Attributes Yaniv Romano Stephen Bates Emmanuel J. Candès FaML 58 53 0 08 Jun 2020
Effects of algorithmic flagging on fairness: quasi-experimental evidence from Wikipedia Nathan TeBlunthuis Benjamin Mako Hill Aaron L Halfaker 51 16 0 04 Jun 2020
Review of Mathematical frameworks for Fairness in Machine Learning E. del Barrio Paula Gordaliza Jean-Michel Loubes FaML FedML 104 42 0 26 May 2020
Sentiment Analysis: Automatically Detecting Valence, Emotions, and Other Affectual States from Text Saif M. Mohammad 123 332 0 25 May 2020
Projection to Fairness in Statistical Learning Thibaut Le Gouic Jean-Michel Loubes Philippe Rigollet 154 3 0 24 May 2020
Fair Classification via Unconstrained Optimization Ibrahim Alabdulmohsin FaML 76 6 0 21 May 2020
Principal Fairness for Human and Algorithmic Decision-Making Kosuke Imai Zhichao Jiang FaML 384 36 0 21 May 2020
Fair Inputs and Fair Outputs: The Incompatibility of Fairness in Privacy and Accuracy Bashir Rastegarpanah M. Crovella Krishna P. Gummadi FaML 164 9 0 19 May 2020
Participatory Problem Formulation for Fairer Machine Learning Through Community Based System Dynamics Donald Martin Vinodkumar Prabhakaran Jill A. Kuhlberg A. Smart William S. Isaac FaML 113 67 0 15 May 2020
Ethical Adversaries: Towards Mitigating Unfairness with Adversarial Machine Learning Pieter Delobelle Paul Temple Gilles Perrouin Benoit Frénay P. Heymans Bettina Berendt AAML FaML 194 19 0 14 May 2020
Cyberbullying Detection with Fairness Constraints O. Gencoglu 207 56 0 09 May 2020
In Pursuit of Interpretable, Fair and Accurate Machine Learning for Criminal Recidivism Prediction Caroline Linjun Wang Bin Han Bhrij Patel Cynthia Rudin FaML HAI 287 101 0 08 May 2020
Ensuring Fairness under Prior Probability ShiftsAAAI/ACM Conference on AI, Ethics, and Society (AIES), 2020 Arpita Biswas Suvam Mukherjee OOD 106 36 0 06 May 2020