v1v2 (latest)

Avoiding Discrimination through Causal Reasoning

8 June 2017

Niki Kilbertus

Mateo Rojas-Carulla

Giambattista Parascandolo

Papers citing "Avoiding Discrimination through Causal Reasoning"

50 / 312 papers shown

Title
The Sensitivity of Counterfactual Fairness to Unmeasured Confounding Niki Kilbertus Philip J. Ball Matt J. Kusner Adrian Weller Ricardo M. A. Silva 93 58 0 01 Jul 2019
Fairness criteria through the lens of directed acyclic graphical models Benjamin R. Baer Daniel E. Gilbert M. Wells FaML 72 6 0 26 Jun 2019
Mitigating Gender Bias in Natural Language Processing: Literature Review Tony Sun Andrew Gaut Shirlyn Tang Yuxin Huang Mai Elsherief Jieyu Zhao Diba Mirza E. Belding-Royer Kai-Wei Chang William Yang Wang AI4CE 138 563 0 21 Jun 2019
The Price of Local Fairness in Multistage Selection V. Emelianov G. Arvanitakis Nicolas Gast Krishna P. Gummadi Patrick Loiseau 62 18 0 15 Jun 2019
Image Counterfactual Sensitivity Analysis for Detecting Unintended Bias Emily L. Denton B. Hutchinson Margaret Mitchell Timnit Gebru Andrew Zaldivar CVBM 91 129 0 14 Jun 2019
Leveraging Labeled and Unlabeled Data for Consistent Fair Binary Classification Evgenii Chzhen Christophe Denis Mohamed Hebiri L. Oneto Massimiliano Pontil FaML 227 87 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 80 27 0 10 Jun 2019
Assessing Disparate Impacts of Personalized Interventions: Identifiability and Bounds Nathan Kallus Angela Zhou 76 11 0 04 Jun 2019
Optimized Score Transformation for Consistent Fair Classification Dennis L. Wei Karthikeyan N. Ramamurthy Flavio du Pin Calmon 54 16 0 31 May 2019
On the Fairness of Disentangled Representations Francesco Locatello G. Abbati Tom Rainforth Stefan Bauer Bernhard Schölkopf Olivier Bachem FaML DRL 81 227 0 31 May 2019
Equal Opportunity and Affirmative Action via Counterfactual Predictions Yixin Wang Dhanya Sridhar David M. Blei FaML 70 20 0 26 May 2019
Fairness in Machine Learning with Tractable Models Michael Varley Vaishak Belle FaML 46 11 0 16 May 2019
Fair Classification and Social Welfare Lily Hu Yiling Chen FaML 90 92 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 76 96 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 52 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 41 0 0 26 Feb 2019
Capuchin: Causal Database Repair for Algorithmic Fairness Babak Salimi Luke Rodriguez Bill Howe Dan Suciu FaML CML 166 30 0 21 Feb 2019
Policy Learning for Fairness in Ranking Ashudeep Singh Thorsten Joachims OffRL 98 219 0 11 Feb 2019
Dynamic fairness - Breaking vicious cycles in automatic decision making Benjamin Paassen Astrid Bunge Carolin Hainke Leon Sindelar Matthias Vogelsang FaML 52 11 0 01 Feb 2019
Repairing without Retraining: Avoiding Disparate Impact with Counterfactual Distributions Hao Wang Berk Ustun Flavio du Pin Calmon FaML 123 85 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 208 465 0 27 Jan 2019
Algorithms for Fairness in Sequential Decision Making Min Wen Osbert Bastani Ufuk Topcu FaML 74 55 0 24 Jan 2019
Fair and Unbiased Algorithmic Decision Making: Current State and Future Challenges Songül Tolan FaML 38 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 108 153 0 14 Jan 2019
Probabilistic Verification of Fairness Properties via Concentration Osbert Bastani Xin Zhang Armando Solar-Lezama FaML FedML 81 72 0 02 Dec 2018
Racial categories in machine learning Sebastian Benthall Bruce D. Haynes FaML 88 125 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 41 4 0 20 Nov 2018
Eliminating Latent Discrimination: Train Then Mask Soheil Ghili Ehsan Kazemi Amin Karbasi FaML 117 11 0 12 Nov 2018
On preserving non-discrimination when combining expert advice Avrim Blum Suriya Gunasekar Thodoris Lykouris Nathan Srebro FaML 65 29 0 28 Oct 2018
The Frontiers of Fairness in Machine Learning Alexandra Chouldechova Aaron Roth FaML 205 416 0 20 Oct 2018
Hunting for Discriminatory Proxies in Linear Regression Models Samuel Yeom Anupam Datta Matt Fredrikson 134 19 0 16 Oct 2018
A General Framework for Fair Regression Jack K. Fitzsimons AbdulRahman Al Ali Michael A. Osborne Stephen J. Roberts FaML 140 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 102 261 0 27 Sep 2018
Envy-Free Classification Maria-Florina Balcan Travis Dick Ritesh Noothigattu Ariel D. Procaccia FaML 67 39 0 23 Sep 2018
Fairness-aware Classification: Criterion, Convexity, and Bounds Yongkai Wu Lu Zhang Xintao Wu FaML 62 27 0 13 Sep 2018
Creating Fair Models of Atherosclerotic Cardiovascular Disease Risk Stephen Pfohl Ben J. Marafino Adrien Coulet F. Rodriguez L. Palaniappan N. Shah 71 68 0 12 Sep 2018
Fairness Through Causal Awareness: Learning Latent-Variable Models for Biased Data David Madras Elliot Creager T. Pitassi R. Zemel FaML 94 133 0 07 Sep 2018
The Disparate Effects of Strategic Manipulation Lily Hu Nicole Immorlica Jennifer Wortman Vaughan 144 167 0 27 Aug 2018
Correspondences between Privacy and Nondiscrimination: Why They Should Be Studied Together Anupam Datta S. Sen Michael Carl Tschantz 57 5 0 06 Aug 2018
Proxy Fairness Maya R. Gupta Andrew Cotter M. M. Fard S. Wang 86 71 0 28 Jun 2018
Fairness Under Composition Cynthia Dwork Christina Ilvento FaML 114 127 0 15 Jun 2018
Residual Unfairness in Fair Machine Learning from Prejudiced Data Nathan Kallus Angela Zhou FaML 191 136 0 07 Jun 2018
Removing Algorithmic Discrimination (With Minimal Individual Error) El-Mahdi El-Mhamdi R. Guerraoui L. Hoang Alexandre Maurer 29 2 0 07 Jun 2018
Causal Interventions for Fairness Matt J. Kusner Chris Russell Joshua R. Loftus Ricardo M. A. Silva FaML 133 14 0 06 Jun 2018
Pooling of Causal Models under Counterfactual Fairness via Causal Judgement Aggregation Fabio Massimo Zennaro Magdalena Ivanovska CML 50 4 0 24 May 2018
Causal Reasoning for Algorithmic Fairness Joshua R. Loftus Chris Russell Matt J. Kusner Ricardo M. A. Silva FaML CML 86 128 0 15 May 2018
Examining Gender and Race Bias in Two Hundred Sentiment Analysis Systems S. Kiritchenko Saif M. Mohammad FaML 86 442 0 11 May 2018
Supervising Feature Influence S. Sen Piotr (Peter) Mardziel Anupam Datta Matt Fredrikson CML OOD 75 8 0 28 Mar 2018
Delayed Impact of Fair Machine Learning Lydia T. Liu Sarah Dean Esther Rolf Max Simchowitz Moritz Hardt FaML 110 478 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 88 233 0 26 Feb 2018