Avoiding Discrimination through Causal Reasoning

8 June 2017

Niki Kilbertus

Mateo Rojas-Carulla

Giambattista Parascandolo

Papers citing "Avoiding Discrimination through Causal Reasoning"

50 / 308 papers shown

Title
Leveraging Labeled and Unlabeled Data for Consistent Fair Binary Classification Evgenii Chzhen Christophe Denis Mohamed Hebiri L. Oneto Massimiliano Pontil FaML 30 85 0 12 Jun 2019
Learning Fair Naive Bayes Classifiers by Discovering and Eliminating Discrimination Patterns YooJung Choi G. Farnadi Behrouz Babaki Guy Van den Broeck FaML 32 27 0 10 Jun 2019
Assessing Disparate Impacts of Personalized Interventions: Identifiability and Bounds Nathan Kallus Angela Zhou 27 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
Equal Opportunity and Affirmative Action via Counterfactual Predictions Yixin Wang Dhanya Sridhar David M. Blei FaML 18 20 0 26 May 2019
Fairness in Machine Learning with Tractable Models Michael Varley Vaishak Belle FaML 25 10 0 16 May 2019
Fair Classification and Social Welfare Lily Hu Yiling Chen FaML 29 88 0 01 May 2019
Fairness in Algorithmic Decision Making: An Excursion Through the Lens of Causality A. Khademi Sanghack Lee David Foley Vasant Honavar FaML 22 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
Understanding Agent Incentives using Causal Influence Diagrams. Part I: Single Action Settings Tom Everitt Pedro A. Ortega Elizabeth Barnes Shane Legg CML 27 0 0 26 Feb 2019
Capuchin: Causal Database Repair for Algorithmic Fairness Babak Salimi Luke Rodriguez Bill Howe Dan Suciu FaML CML 27 29 0 21 Feb 2019
Policy Learning for Fairness in Ranking Ashudeep Singh Thorsten Joachims OffRL 19 215 0 11 Feb 2019
Dynamic fairness - Breaking vicious cycles in automatic decision making Benjamin Paassen Astrid Bunge Carolin Hainke Leon Sindelar Matthias Vogelsang FaML 24 11 0 01 Feb 2019
Repairing without Retraining: Avoiding Disparate Impact with Counterfactual Distributions Hao Wang Berk Ustun Flavio du Pin Calmon FaML 36 83 0 29 Jan 2019
Bias in Bios: A Case Study of Semantic Representation Bias in a High-Stakes Setting Maria De-Arteaga Alexey Romanov Hanna M. Wallach J. Chayes C. Borgs Alexandra Chouldechova S. Geyik K. Kenthapadi Adam Tauman Kalai 16 444 0 27 Jan 2019
Algorithms for Fairness in Sequential Decision Making Min Wen Osbert Bastani Ufuk Topcu FaML 19 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
Putting Fairness Principles into Practice: Challenges, Metrics, and Improvements Alex Beutel Jilin Chen Tulsee Doshi Hai Qian Allison Woodruff Christine Luu Pierre Kreitmann Jonathan Bischof Ed H. Chi FaML 30 150 0 14 Jan 2019
Probabilistic Verification of Fairness Properties via Concentration Osbert Bastani Xin Zhang Armando Solar-Lezama FaML FedML 11 70 0 02 Dec 2018
Racial categories in machine learning Sebastian Benthall Bruce D. Haynes FaML 42 121 0 28 Nov 2018
State of the Art in Fair ML: From Moral Philosophy and Legislation to Fair Classifiers Elias Baumann J. L. Rumberger FaML 29 4 0 20 Nov 2018
Eliminating Latent Discrimination: Train Then Mask Soheil Ghili Ehsan Kazemi Amin Karbasi FaML 27 9 0 12 Nov 2018
On preserving non-discrimination when combining expert advice Avrim Blum Suriya Gunasekar Thodoris Lykouris Nathan Srebro FaML 19 29 0 28 Oct 2018
The Frontiers of Fairness in Machine Learning Alexandra Chouldechova Aaron Roth FaML 25 411 0 20 Oct 2018
Hunting for Discriminatory Proxies in Linear Regression Models Samuel Yeom Anupam Datta Matt Fredrikson 28 19 0 16 Oct 2018
A General Framework for Fair Regression Jack K. Fitzsimons AbdulRahman Al Ali Michael A. Osborne Stephen J. Roberts FaML 30 37 0 10 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
Envy-Free Classification Maria-Florina Balcan Travis Dick Ritesh Noothigattu Ariel D. Procaccia FaML 9 39 0 23 Sep 2018
Fairness-aware Classification: Criterion, Convexity, and Bounds Yongkai Wu Lu Zhang Xintao Wu FaML 11 24 0 13 Sep 2018
Creating Fair Models of Atherosclerotic Cardiovascular Disease Risk Stephen R. Pfohl Ben J. Marafino Adrien Coulet F. Rodriguez L. Palaniappan N. Shah 20 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 19 133 0 07 Sep 2018
The Disparate Effects of Strategic Manipulation Lily Hu Nicole Immorlica Jennifer Wortman Vaughan 24 164 0 27 Aug 2018
Correspondences between Privacy and Nondiscrimination: Why They Should Be Studied Together Anupam Datta S. Sen Michael Carl Tschantz 28 5 0 06 Aug 2018
Proxy Fairness Maya R. Gupta Andrew Cotter M. M. Fard S. Wang 9 68 0 28 Jun 2018
Fairness Under Composition Cynthia Dwork Christina Ilvento FaML 28 124 0 15 Jun 2018
Residual Unfairness in Fair Machine Learning from Prejudiced Data Nathan Kallus Angela Zhou FaML 26 134 0 07 Jun 2018
Removing Algorithmic Discrimination (With Minimal Individual Error) El-Mahdi El-Mhamdi R. Guerraoui L. Hoang Alexandre Maurer 11 2 0 07 Jun 2018
Causal Interventions for Fairness Matt J. Kusner Chris Russell Joshua R. Loftus Ricardo M. A. Silva FaML 24 14 0 06 Jun 2018
Pooling of Causal Models under Counterfactual Fairness via Causal Judgement Aggregation Fabio Massimo Zennaro Magdalena Ivanovska CML 24 4 0 24 May 2018
Causal Reasoning for Algorithmic Fairness Joshua R. Loftus Chris Russell Matt J. Kusner Ricardo M. A. Silva FaML CML 26 125 0 15 May 2018
Examining Gender and Race Bias in Two Hundred Sentiment Analysis Systems S. Kiritchenko Saif M. Mohammad FaML 33 432 0 11 May 2018
Supervising Feature Influence S. Sen Piotr (Peter) Mardziel Anupam Datta Matt Fredrikson CML OOD 9 8 0 28 Mar 2018
Delayed Impact of Fair Machine Learning Lydia T. Liu Sarah Dean Esther Rolf Max Simchowitz Moritz Hardt FaML 28 470 0 12 Mar 2018
Human Perceptions of Fairness in Algorithmic Decision Making: A Case Study of Criminal Risk Prediction Nina Grgic-Hlaca Elissa M. Redmiles Krishna P. Gummadi Adrian Weller FaML 27 225 0 26 Feb 2018
Empirical Risk Minimization under Fairness Constraints Michele Donini L. Oneto Shai Ben-David John Shawe-Taylor Massimiliano Pontil FaML 35 439 0 23 Feb 2018
Path-Specific Counterfactual Fairness Silvia Chiappa Thomas P. S. Gillam CML FaML 46 334 0 22 Feb 2018
On the Direction of Discrimination: An Information-Theoretic Analysis of Disparate Impact in Machine Learning Hao Wang Berk Ustun Flavio du Pin Calmon FaML 14 11 0 16 Jan 2018
Calibration for the (Computationally-Identifiable) Masses Úrsula Hébert-Johnson Michael P. Kim Omer Reingold G. Rothblum FaML 14 87 0 22 Nov 2017
Does mitigating ML's impact disparity require treatment disparity? Zachary Chase Lipton Alexandra Chouldechova Julian McAuley 34 16 0 19 Nov 2017