Causal Conceptions of Fairness and their Consequences

12 July 2022

Papers citing "Causal Conceptions of Fairness and their Consequences"

33 / 33 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 70 0 0 10 Nov 2024
A Unified Causal Framework for Auditing Recommender Systems for Ethical Concerns Vibhhu Sharma Shantanu Gupta Nil-Jana Akpinar Zachary C. Lipton Liu Leqi CML MLAU 32 0 0 20 Sep 2024
Counterfactual Fairness by Combining Factual and Counterfactual Predictions Zeyu Zhou Tianci Liu Ruqi Bai Jing Gao Murat Kocaoglu David I. Inouye 49 2 0 03 Sep 2024
Fairness-Accuracy Trade-Offs: A Causal Perspective Drago Plečko Elias Bareinboim 37 2 0 24 May 2024
Does Machine Bring in Extra Bias in Learning? Approximating Fairness in Models Promptly Yijun Bian Yujie Luo FaML 27 1 0 15 May 2024
Auditing Fairness under Unobserved Confounding Yewon Byun Dylan Sam Michael Oberst Zachary Chase Lipton Bryan Wilder 27 6 0 18 Mar 2024
The Essential Role of Causality in Foundation World Models for Embodied AI Tarun Gupta Wenbo Gong Chao Ma Nick Pawlowski Agrin Hilmkil ... Jianfeng Gao Stefan Bauer Danica Kragic Bernhard Schölkopf Cheng Zhang 30 15 0 06 Feb 2024
Fair Clustering: A Causal Perspective Fritz M. Bayer Drago Plečko N. Beerenwinkel Jack Kuipers FaML 27 0 0 14 Dec 2023
Causal Fairness under Unobserved Confounding: A Neural Sensitivity Framework Maresa Schröder Dennis Frauen Stefan Feuerriegel CML 32 6 0 30 Nov 2023
Procedural Fairness Through Decoupling Objectionable Data Generating Components Zeyu Tang Jialu Wang Yang Liu Peter Spirtes Kun Zhang 30 2 0 05 Nov 2023
Causal Context Connects Counterfactual Fairness to Robust Prediction and Group Fairness Jacy Reese Anthis Victor Veitch 33 12 0 30 Oct 2023
Group-blind optimal transport to group parity and its constrained variants Quan-Gen Zhou Jakub Marecek 40 3 0 17 Oct 2023
Measuring, Interpreting, and Improving Fairness of Algorithms using Causal Inference and Randomized Experiments James Enouen Tianshu Sun Yan Liu FaML 21 0 0 04 Sep 2023
Causal Fairness for Outcome Control Drago Plečko Elias Bareinboim 22 5 0 08 Jun 2023
LEACE: Perfect linear concept erasure in closed form Nora Belrose David Schneider-Joseph Shauli Ravfogel Ryan Cotterell Edward Raff Stella Biderman KELM MU 41 102 0 06 Jun 2023
Unfair Utilities and First Steps Towards Improving Them Frederik Hytting Jorgensen S. Weichwald J. Peters FaML 61 0 0 01 Jun 2023
Are demographically invariant models and representations in medical imaging fair? Eike Petersen Enzo Ferrante M. Ganz Aasa Feragen MedIm 43 10 0 02 May 2023
Fair Off-Policy Learning from Observational Data Dennis Frauen Valentyn Melnychuk Stefan Feuerriegel FaML OffRL 25 6 0 15 Mar 2023
Designing Equitable Algorithms Alex Chohlas-Wood Madison Coots Sharad Goel Julian Nyarko FaML 16 13 0 17 Feb 2023
Zero-shot causal learning H. Nilforoshan Michael Moor Yusuf Roohani Yining Chen Anja vSurina Michihiro Yasunaga Sara Oblak J. Leskovec CML BDL OffRL 24 11 0 28 Jan 2023
Increasing Fairness via Combination with Learning Guarantees Yijun Bian Kun Zhang FaML 27 2 0 25 Jan 2023
Tier Balancing: Towards Dynamic Fairness over Underlying Causal Factors Zeyu Tang Yatong Chen Yang Liu Kun Zhang 21 8 0 21 Jan 2023
Continual Causal Abstractions Matej Zečević Moritz Willig Jonas Seng Florian Peter Busch 19 1 0 23 Dec 2022
Tensions Between the Proxies of Human Values in AI Teresa Datta D. Nissani Max Cembalest Akash Khanna Haley Massa John P. Dickerson 34 2 0 14 Dec 2022
I Prefer not to Say: Protecting User Consent in Models with Optional Personal Data Tobias Leemann Martin Pawelczyk Christian Thomas Eberle Gjergji Kasneci 38 1 0 25 Oct 2022
A Comprehensive Survey on Trustworthy Recommender Systems Wenqi Fan Xiangyu Zhao Xiao Chen Jingran Su Jingtong Gao ... Qidong Liu Yiqi Wang Hanfeng Xu Lei Chen Qing Li FaML 43 46 0 21 Sep 2022
Fairness in Forecasting of Observations of Linear Dynamical Systems Quan Zhou Jakub Mareˇcek Robert Shorten AI4TS 37 5 0 12 Sep 2022
Counterfactual Fairness Is Basically Demographic Parity Lucas Rosenblatt R. T. Witter 21 15 0 07 Aug 2022
What-is and How-to for Fairness in Machine Learning: A Survey, Reflection, and Perspective Zeyu Tang Jiji Zhang Kun Zhang FaML 33 26 0 08 Jun 2022
Adaptive Sampling Strategies to Construct Equitable Training Datasets William Cai R. Encarnación Bobbie Chern S. Corbett-Davies Miranda Bogen Stevie Bergman Sharad Goel 89 30 0 31 Jan 2022
Promises and Challenges of Causality for Ethical Machine Learning Aida Rahmattalabi Alice Xiang FaML CML 128 8 0 26 Jan 2022
Learning to be Fair: A Consequentialist Approach to Equitable Decision-Making Alex Chohlas-Wood Madison Coots Henry Zhu Emma Brunskill Sharad Goel FaML 21 23 0 18 Sep 2021
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments Alexandra Chouldechova FaML 207 2,090 0 24 Oct 2016