Causal Conceptions of Fairness and their Consequences

International Conference on Machine Learning (ICML), 2022

12 July 2022

Papers citing "Causal Conceptions of Fairness and their Consequences"

24 / 24 papers shown

Title
Algorithmic Fairness amid Social Determinants: Reflection, Characterization, and Approach Zeyu Tang Alex John London Atoosa Kasirzadeh Sanmi Koyejo Peter Spirtes Kun Zhang FaML 160 0 0 10 Aug 2025
Path-specific effects for pulse-oximetry guided decisions in critical care Kevin Zhang Yonghan Jung Divyat Mahajan Karthikeyan Shanmugam Shalmali Joshi CML 264 0 0 14 Jun 2025
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 469 2 0 10 Nov 2024
Counterfactual Fairness by Combining Factual and Counterfactual PredictionsNeural Information Processing Systems (NeurIPS), 2024 Zeyu Zhou Tianci Liu Ruqi Bai Jing Gao Murat Kocaoglu David I. Inouye 297 7 0 03 Sep 2024
Formalising Anti-Discrimination Law in Automated Decision Systems Holli Sargeant Måns Magnusson FaML 402 3 0 29 Jun 2024
Fairness-Accuracy Trade-Offs: A Causal Perspective Drago Plečko Elias Bareinboim 155 10 0 24 May 2024
Procedural Fairness Through Decoupling Objectionable Data Generating ComponentsInternational Conference on Learning Representations (ICLR), 2023 Zeyu Tang Jialu Wang Yang Liu Peter Spirtes Kun Zhang 250 3 0 05 Nov 2023
Measuring, Interpreting, and Improving Fairness of Algorithms using Causal Inference and Randomized Experiments James Enouen Tianshu Sun Yan Liu FaML 189 0 0 04 Sep 2023
Causal Fairness for Outcome ControlNeural Information Processing Systems (NeurIPS), 2023 Drago Plečko Elias Bareinboim 152 10 0 08 Jun 2023
LEACE: Perfect linear concept erasure in closed formNeural Information Processing Systems (NeurIPS), 2023 Nora Belrose David Schneider-Joseph Shauli Ravfogel Robert Bamler Edward Raff Stella Biderman KELM MU 689 163 0 06 Jun 2023
Unfair Utilities and First Steps Towards Improving Them Frederik Hytting Jorgensen S. Weichwald J. Peters FaML 254 0 0 01 Jun 2023
Designing Equitable AlgorithmsNature Computational Science (Nat. Comput. Sci.), 2023 Alex Chohlas-Wood Madison Coots Sharad Goel Julian Nyarko FaML 152 16 0 17 Feb 2023
Zero-shot causal learningNeural Information Processing Systems (NeurIPS), 2023 H. Nilforoshan Michael Moor Yusuf Roohani Yining Chen Anja vSurina Michihiro Yasunaga Sara Oblak J. Leskovec CML BDL OffRL 230 17 0 28 Jan 2023
Increasing Fairness via Combination with Learning Guarantees Yijun Bian Kun Zhang FaML 428 3 0 25 Jan 2023
Continual Causal Abstractions Matej Zečević Moritz Willig Jonas Seng Florian Peter Busch 168 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 184 4 0 14 Dec 2022
I Prefer not to Say: Protecting User Consent in Models with Optional Personal DataAAAI Conference on Artificial Intelligence (AAAI), 2022 Tobias Leemann Martin Pawelczyk Christian Thomas Eberle Gjergji Kasneci 337 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 220 59 0 21 Sep 2022
Fairness in Forecasting of Observations of Linear Dynamical SystemsJournal of Artificial Intelligence Research (JAIR), 2022 Quan Zhou Jakub Mareˇcek Robert Shorten AI4TS 304 6 0 12 Sep 2022
Counterfactual Fairness Is Basically Demographic ParityAAAI Conference on Artificial Intelligence (AAAI), 2022 Lucas Rosenblatt R. T. Witter 232 20 0 07 Aug 2022
What-is and How-to for Fairness in Machine Learning: A Survey, Reflection, and PerspectiveACM Computing Surveys (ACM CSUR), 2022 Zeyu Tang Jiji Zhang Kun Zhang FaML 346 35 0 08 Jun 2022
Adaptive Sampling Strategies to Construct Equitable Training DatasetsConference on Fairness, Accountability and Transparency (FAccT), 2022 William Cai R. Encarnación Bobbie Chern S. Corbett-Davies Miranda Bogen Stevie Bergman Sharad Goel 228 33 0 31 Jan 2022
Promises and Challenges of Causality for Ethical Machine Learning Aida Rahmattalabi Alice Xiang FaML CML 297 11 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 247 29 0 18 Sep 2021