Path-Specific Counterfactual Fairness

22 February 2018

Papers citing "Path-Specific Counterfactual Fairness"

40 / 190 papers shown

Title
Algorithmic recourse under imperfect causal knowledge: a probabilistic approach Amir-Hossein Karimi Julius von Kügelgen Bernhard Schölkopf Isabel Valera CML 28 178 0 11 Jun 2020
Causal Feature Selection for Algorithmic Fairness Sainyam Galhotra Karthikeyan Shanmugam P. Sattigeri Kush R. Varshney FaML 28 39 0 10 Jun 2020
Principal Fairness for Human and Algorithmic Decision-Making Kosuke Imai Zhichao Jiang FaML 29 30 0 21 May 2020
Fairness by Explicability and Adversarial SHAP Learning James M. Hickey Pietro G. Di Stefano V. Vasileiou FAtt FedML 33 19 0 11 Mar 2020
Counterfactual fairness: removing direct effects through regularization Pietro G. Di Stefano James M. Hickey V. Vasileiou FaML 17 19 0 25 Feb 2020
Learning Individually Fair Classifier with Path-Specific Causal-Effect Constraint Yoichi Chikahara Shinsaku Sakaue Akinori Fujino Hisashi Kashima FaML 11 0 0 17 Feb 2020
Convex Fairness Constrained Model Using Causal Effect Estimators Hikaru Ogura Akiko Takeda 6 2 0 16 Feb 2020
Algorithmic Recourse: from Counterfactual Explanations to Interventions Amir-Hossein Karimi Bernhard Schölkopf Isabel Valera CML 24 337 0 14 Feb 2020
To Split or Not to Split: The Impact of Disparate Treatment in Classification Hao Wang Hsiang Hsu Mario Díaz Flavio du Pin Calmon 15 23 0 12 Feb 2020
The Incentives that Shape Behaviour Ryan Carey Eric D. Langlois Tom Everitt Shane Legg CML 25 13 0 20 Jan 2020
Learning from Discriminatory Training Data Przemyslaw A. Grabowicz Nicholas Perello Kenta Takatsu FaML 20 1 0 17 Dec 2019
Perfectly Parallel Fairness Certification of Neural Networks Caterina Urban M. Christakis Valentin Wüstholz Fuyuan Zhang 19 67 0 05 Dec 2019
Feature Noise Induces Loss Discrepancy Across Groups Fereshte Khani Percy Liang FaML 12 6 0 22 Nov 2019
Fair Data Adaptation with Quantile Preservation Drago Plečko N. Meinshausen 14 30 0 15 Nov 2019
Fairness through Equality of Effort Wen Huang Yongkai Wu Lu Zhang Xintao Wu FaML 13 31 0 11 Nov 2019
Reducing Sentiment Bias in Language Models via Counterfactual Evaluation Po-Sen Huang Huan Zhang Ray Jiang Robert Stanforth Johannes Welbl Jack W. Rae Vishal Maini Dani Yogatama Pushmeet Kohli 33 206 0 08 Nov 2019
What is Fair? Exploring Pareto-Efficiency for Fairness Constrained Classifiers Ananth Balashankar Alyssa Lees Chris Welty L. Subramanian 14 21 0 30 Oct 2019
PC-Fairness: A Unified Framework for Measuring Causality-based Fairness Yongkai Wu Lu Zhang Xintao Wu Hanghang Tong FaML 25 115 0 20 Oct 2019
Is There a Trade-Off Between Fairness and Accuracy? A Perspective Using Mismatched Hypothesis Testing Sanghamitra Dutta Dennis L. Wei Hazar Yueksel Pin-Yu Chen Sijia Liu Kush R. Varshney FaML 10 11 0 17 Oct 2019
Asymmetric Shapley values: incorporating causal knowledge into model-agnostic explainability Christopher Frye C. Rowat Ilya Feige 18 180 0 14 Oct 2019
Optimal Training of Fair Predictive Models Razieh Nabi Daniel Malinsky I. Shpitser 26 13 0 09 Oct 2019
Causal Modeling for Fairness in Dynamical Systems Elliot Creager David Madras T. Pitassi R. Zemel 29 67 0 18 Sep 2019
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 349 4,237 0 23 Aug 2019
Wasserstein Fair Classification Ray Jiang Aldo Pacchiano T. Stepleton Heinrich Jiang Silvia Chiappa 33 173 0 28 Jul 2019
A Causal Bayesian Networks Viewpoint on Fairness Silvia Chiappa William S. Isaac FaML 20 62 0 15 Jul 2019
Counterfactual Reasoning for Fair Clinical Risk Prediction Stephen R. Pfohl Tony Duan D. Ding N. Shah OOD CML 33 57 0 14 Jul 2019
The Sensitivity of Counterfactual Fairness to Unmeasured Confounding Niki Kilbertus Philip J. Ball Matt J. Kusner Adrian Weller Ricardo M. A. Silva 17 58 0 01 Jul 2019
Fairness criteria through the lens of directed acyclic graphical models Benjamin R. Baer Daniel E. Gilbert M. Wells FaML 14 6 0 26 Jun 2019
Understanding artificial intelligence ethics and safety David Leslie FaML AI4TS 30 345 0 11 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
Anonymized BERT: An Augmentation Approach to the Gendered Pronoun Resolution Challenge Bo Liu 21 7 0 06 May 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
Understanding Agent Incentives using Causal Influence Diagrams. Part I: Single Action Settings Tom Everitt Pedro A. Ortega Elizabeth Barnes Shane Legg CML 17 0 0 26 Feb 2019
General Fair Empirical Risk Minimization L. Oneto Michele Donini Massimiliano Pontil FaML 22 38 0 29 Jan 2019
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
Learning Optimal Fair Policies Razieh Nabi Daniel Malinsky I. Shpitser FaML 14 86 0 06 Sep 2018
Causal Interventions for Fairness Matt J. Kusner Chris Russell Joshua R. Loftus Ricardo M. A. Silva FaML 22 14 0 06 Jun 2018
Causal Reasoning for Algorithmic Fairness Joshua R. Loftus Chris Russell Matt J. Kusner Ricardo M. A. Silva FaML CML 18 125 0 15 May 2018
Explanation Methods in Deep Learning: Users, Values, Concerns and Challenges Gabrielle Ras Marcel van Gerven W. Haselager XAI 17 217 0 20 Mar 2018
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments Alexandra Chouldechova FaML 207 2,092 0 24 Oct 2016