Counterfactual Fairness

20 March 2017

Papers citing "Counterfactual Fairness"

50 / 823 papers shown

Title
Flexibly Fair Representation Learning by Disentanglement Elliot Creager David Madras J. Jacobsen Marissa A. Weis Kevin Swersky T. Pitassi R. Zemel FaML OOD 12 329 0 06 Jun 2019
Assessing Disparate Impacts of Personalized Interventions: Identifiability and Bounds Nathan Kallus Angela Zhou 19 11 0 04 Jun 2019
Optimized Score Transformation for Consistent Fair Classification Dennis L. Wei Karthikeyan N. Ramamurthy Flavio du Pin Calmon 24 15 0 31 May 2019
On the Fairness of Disentangled Representations Francesco Locatello G. Abbati Tom Rainforth Stefan Bauer Bernhard Schölkopf Olivier Bachem FaML DRL 35 226 0 31 May 2019
Fairness and Missing Values Fernando Martínez-Plumed Cesar Ferri David Nieves José Hernández-Orallo 16 28 0 29 May 2019
Equal Opportunity and Affirmative Action via Counterfactual Predictions Yixin Wang Dhanya Sridhar David M. Blei FaML 16 20 0 26 May 2019
Protecting the Protected Group: Circumventing Harmful Fairness Omer Ben-Porat Fedor Sandomirskiy Moshe Tennenholtz FaML 9 17 0 25 May 2019
Testing DNN Image Classifiers for Confusion & Bias Errors Yuchi Tian Ziyuan Zhong Vicente Ordonez Gail E. Kaiser Baishakhi Ray 24 52 0 20 May 2019
Explaining Machine Learning Classifiers through Diverse Counterfactual Explanations R. Mothilal Amit Sharma Chenhao Tan CML 34 994 0 19 May 2019
Contrastive Fairness in Machine Learning Tapabrata (Rohan) Chakraborty A. Patra Alison Noble FaML 6 8 0 17 May 2019
Fairness in Machine Learning with Tractable Models Michael Varley Vaishak Belle FaML 12 10 0 16 May 2019
Fair Classification and Social Welfare Lily Hu Yiling Chen FaML 24 88 0 01 May 2019
Causal Discovery with General Non-Linear Relationships Using Non-Linear ICA R. Monti Kun Zhang Aapo Hyvarinen CML 17 91 0 19 Apr 2019
HARK Side of Deep Learning -- From Grad Student Descent to Automated Machine Learning O. Gencoglu M. Gils E. Guldogan Chamin Morikawa Mehmet Süzen M. Gruber J. Leinonen H. Huttunen 11 36 0 16 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 22 183 0 10 Apr 2019
Fairness in Algorithmic Decision Making: An Excursion Through the Lens of Causality A. Khademi Sanghack Lee David Foley Vasant Honavar FaML 17 95 0 27 Mar 2019
The Random Conditional Distribution for Higher-Order Probabilistic Inference Zenna Tavares Xin Zhang Edgar Minaysan Javier Burroni Rajesh Ranganath Armando Solar-Lezama 22 9 0 25 Mar 2019
The invisible power of fairness. How machine learning shapes democracy E. Beretta A. Santangelo Bruno Lepri A. Vetrò Juan Carlos De Martin FaML 13 6 0 22 Mar 2019
Understanding Agent Incentives using Causal Influence Diagrams. Part I: Single Action Settings Tom Everitt Pedro A. Ortega Elizabeth Barnes Shane Legg CML 19 0 0 26 Feb 2019
Capuchin: Causal Database Repair for Algorithmic Fairness Babak Salimi Luke Rodriguez Bill Howe Dan Suciu FaML CML 14 29 0 21 Feb 2019
Policy Learning for Fairness in Ranking Ashudeep Singh Thorsten Joachims OffRL 12 215 0 11 Feb 2019
When Causal Intervention Meets Adversarial Examples and Image Masking for Deep Neural Networks Chao-Han Huck Yang Yi-Chieh Liu Pin-Yu Chen Xiaoli Ma Y. Tsai BDL AAML CML 27 21 0 09 Feb 2019
Dynamic fairness - Breaking vicious cycles in automatic decision making Benjamin Paassen Astrid Bunge Carolin Hainke Leon Sindelar Matthias Vogelsang FaML 14 11 0 01 Feb 2019
Noise-tolerant fair classification A. Lamy Ziyuan Zhong A. Menon Nakul Verma NoLa 17 76 0 30 Jan 2019
Repairing without Retraining: Avoiding Disparate Impact with Counterfactual Distributions Hao Wang Berk Ustun Flavio du Pin Calmon FaML 30 83 0 29 Jan 2019
Fair Regression for Health Care Spending A. Zink Sherri Rose 30 49 0 28 Jan 2019
Fairness risk measures Robert C. Williamson A. Menon FaML 20 135 0 24 Jan 2019
Algorithms for Fairness in Sequential Decision Making Min Wen Osbert Bastani Ufuk Topcu FaML 9 54 0 24 Jan 2019
Fair and Unbiased Algorithmic Decision Making: Current State and Future Challenges Songül Tolan FaML 24 31 0 15 Jan 2019
Machine learning and AI research for Patient Benefit: 20 Critical Questions on Transparency, Replicability, Ethics and Effectiveness Sebastian J. Vollmer Bilal A. Mateen G. Bohner Franz J. Király Rayid Ghani ... Karel G. M. Moons Gary S. Collins J. Ioannidis Chris Holmes H. Hemingway 17 40 0 21 Dec 2018
Improving fairness in machine learning systems: What do industry practitioners need? Kenneth Holstein Jennifer Wortman Vaughan Hal Daumé Miroslav Dudík Hanna M. Wallach FaML HAI 195 742 0 13 Dec 2018
Probabilistic Verification of Fairness Properties via Concentration Osbert Bastani Xin Zhang Armando Solar-Lezama FaML FedML 9 70 0 02 Dec 2018
Racial categories in machine learning Sebastian Benthall Bruce D. Haynes FaML 37 121 0 28 Nov 2018
50 Years of Test (Un)fairness: Lessons for Machine Learning Ben Hutchinson Margaret Mitchell AILaw FaML 17 355 0 25 Nov 2018
Balanced Datasets Are Not Enough: Estimating and Mitigating Gender Bias in Deep Image Representations Tianlu Wang Jieyu Zhao Mark Yatskar Kai-Wei Chang Vicente Ordonez FaML 34 17 0 20 Nov 2018
State of the Art in Fair ML: From Moral Philosophy and Legislation to Fair Classifiers Elias Baumann J. L. Rumberger FaML 24 4 0 20 Nov 2018
Bayesian Modeling of Intersectional Fairness: The Variance of Bias James R. Foulds Rashidul Islam Kamrun Naher Keya Shimei Pan 10 40 0 18 Nov 2018
Explaining Deep Learning Models using Causal Inference Tanmayee Narendra A. Sankaran Deepak Vijaykeerthy Senthil Mani CML 16 52 0 11 Nov 2018
Crowdsourcing with Fairness, Diversity and Budget Constraints Naman Goel Boi Faltings FaML 25 20 0 31 Oct 2018
On preserving non-discrimination when combining expert advice Avrim Blum Suriya Gunasekar Thodoris Lykouris Nathan Srebro FaML 17 29 0 28 Oct 2018
The Frontiers of Fairness in Machine Learning Alexandra Chouldechova Aaron Roth FaML 17 411 0 20 Oct 2018
Explaining Machine Learning Models using Entropic Variable Projection François Bachoc Fabrice Gamboa Max Halford Jean-Michel Loubes Laurent Risser FAtt 28 5 0 18 Oct 2018
Tuning Fairness by Balancing Target Labels T. Kehrenberg Zexun Chen Novi Quadrianto 25 4 0 12 Oct 2018
A General Framework for Fair Regression Jack K. Fitzsimons AbdulRahman Al Ali Michael A. Osborne Stephen J. Roberts FaML 22 37 0 10 Oct 2018
AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias Rachel K. E. Bellamy Kuntal Dey Michael Hind Samuel C. Hoffman Stephanie Houde ... Diptikalyan Saha P. Sattigeri Moninder Singh Kush R. Varshney Yunfeng Zhang FaML SyDa 65 796 0 03 Oct 2018
Counterfactually Fair Prediction Using Multiple Causal Models Fabio Massimo Zennaro Magdalena Ivanovska 33 2 0 01 Oct 2018
Counterfactual Fairness in Text Classification through Robustness Sahaj Garg Vincent Perot Nicole Limtiaco Ankur Taly Ed H. Chi Alex Beutel 22 258 0 27 Sep 2018
A Survey of Learning Causality with Data: Problems and Methods Ruocheng Guo Lu Cheng Jundong Li P. R. Hahn Huan Liu CML 37 168 0 25 Sep 2018
Creating Fair Models of Atherosclerotic Cardiovascular Disease Risk Stephen R. Pfohl Ben J. Marafino Adrien Coulet F. Rodriguez L. Palaniappan N. Shah 10 66 0 12 Sep 2018
Fairness Through Causal Awareness: Learning Latent-Variable Models for Biased Data David Madras Elliot Creager T. Pitassi R. Zemel FaML 14 133 0 07 Sep 2018