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Survey on Causal-based Machine Learning Fairness Notions

19 October 2020

Papers citing "Survey on Causal-based Machine Learning Fairness Notions"

27 / 27 papers shown

Title
A Review of Fairness and A Practical Guide to Selecting Context-Appropriate Fairness Metrics in Machine Learning Caleb J. S. Barr Olivia Erdelyi Paul D. Docherty Randolph C. Grace FaML 159 0 0 10 Nov 2024
Counterfactual Fairness by Combining Factual and Counterfactual Predictions Zeyu Zhou Tianci Liu Ruqi Bai Jing Gao Murat Kocaoglu David I. Inouye 108 2 0 03 Sep 2024
A Survey on Causal Inference Liuyi Yao Zhixuan Chu Sheng Li Yaliang Li Jing Gao Aidong Zhang CML 95 509 0 05 Feb 2020
Fairness through Equality of Effort Wen Huang Yongkai Wu Lu Zhang Xintao Wu FaML 38 33 0 11 Nov 2019
PC-Fairness: A Unified Framework for Measuring Causality-based Fairness Yongkai Wu Lu Zhang Xintao Wu Hanghang Tong FaML 109 118 0 20 Oct 2019
A Causal Bayesian Networks Viewpoint on Fairness Silvia Chiappa William S. Isaac FaML 62 63 0 15 Jul 2019
Counterfactual Reasoning for Fair Clinical Risk Prediction Stephen Pfohl Tony Duan D. Ding N. Shah OOD CML 60 58 0 14 Jul 2019
An Evaluation Toolkit to Guide Model Selection and Cohort Definition in Causal Inference Y. Shimoni Ehud Karavani Sivan Ravid Peter Bak Tan Hung Marie Ng S. Alford D. Meade Yaara Goldschmidt ELM CML 54 38 0 02 Jun 2019
Fairness in Algorithmic Decision Making: An Excursion Through the Lens of Causality A. Khademi Sanghack Lee David Foley Vasant Honavar FaML 57 96 0 27 Mar 2019
Enhancing Identification of Causal Effects by Pruning Santtu Tikka Juha Karvanen CML 31 14 0 19 Jun 2018
Simplifying Probabilistic Expressions in Causal Inference Santtu Tikka Juha Karvanen CML 32 13 0 19 Jun 2018
Causal Reasoning for Algorithmic Fairness Joshua R. Loftus Chris Russell Matt J. Kusner Ricardo M. A. Silva FaML CML 72 128 0 15 May 2018
Path-Specific Counterfactual Fairness Silvia Chiappa Thomas P. S. Gillam CML FaML 80 340 0 22 Feb 2018
Meta-learners for Estimating Heterogeneous Treatment Effects using Machine Learning Sören R. Künzel Jasjeet Sekhon Peter J. Bickel Bin Yu CML 164 928 0 12 Jun 2017
Avoiding Discrimination through Causal Reasoning Niki Kilbertus Mateo Rojas-Carulla Giambattista Parascandolo Moritz Hardt Dominik Janzing Bernhard Schölkopf FaML CML 115 583 0 08 Jun 2017
Fair Inference On Outcomes Razieh Nabi I. Shpitser FaML 67 352 0 29 May 2017
Counterfactual Fairness Matt J. Kusner Joshua R. Loftus Chris Russell Ricardo M. A. Silva FaML 224 1,584 0 20 Mar 2017
A causal framework for discovering and removing direct and indirect discrimination Lu Zhang Yongkai Wu Xintao Wu CML 58 174 0 22 Nov 2016
Achieving non-discrimination in data release Lu Zhang Yongkai Wu Xintao Wu FaML 117 69 0 22 Nov 2016
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments Alexandra Chouldechova FaML 300 2,120 0 24 Oct 2016
Equality of Opportunity in Supervised Learning Moritz Hardt Eric Price Nathan Srebro FaML 230 4,329 0 07 Oct 2016
Recursive Partitioning for Heterogeneous Causal Effects Susan Athey Guido Imbens CML 259 1,435 0 05 Apr 2015
Testing Identifiability of Causal Effects D. Galles Judea Pearl CML 60 90 0 20 Feb 2013
Direct and Indirect Effects Judea Pearl CML 94 2,173 0 10 Jan 2013
Identification of Conditional Interventional Distributions I. Shpitser Judea Pearl 140 224 0 27 Jun 2012
What Counterfactuals Can Be Tested I. Shpitser Judea Pearl 115 114 0 20 Jun 2012
Counterfactual Graphical Models for Longitudinal Mediation Analysis with Unobserved Confounding I. Shpitser AI4CE 92 106 0 01 May 2012