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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
Causal Fairness for Outcome Control Drago Plečko Elias Bareinboim 51 7 0 08 Jun 2023
Reconciling Predictive and Statistical Parity: A Causal Approach Drago Plečko Elias Bareinboim FaML 54 2 0 08 Jun 2023
The Flawed Foundations of Fair Machine Learning R. Poe Soumia Zohra El Mestari FaML 66 1 0 02 Jun 2023
Domain Generalization for Domain-Linked Classes Kimathi Kaai Saad Hossain Sirisha Rambhatla OOD AI4CE 54 0 0 01 Jun 2023
Unfair Utilities and First Steps Towards Improving Them Frederik Hytting Jorgensen S. Weichwald J. Peters FaML 107 0 0 01 Jun 2023
Counterpart Fairness -- Addressing Systematic between-group Differences in Fairness Evaluation Yifei Wang Zhengyang Zhou Liqin Wang John Laurentiev Peter Hou Li Zhou Pengyu Hong 72 0 0 29 May 2023
Fairness in Image Search: A Study of Occupational Stereotyping in Image Retrieval and its Debiasing Swagatika Dash 38 0 0 06 May 2023
Fairness through Aleatoric Uncertainty Anique Tahir Lu Cheng Huan Liu 100 13 0 07 Apr 2023
Fair Off-Policy Learning from Observational Data Dennis Frauen Valentyn Melnychuk Stefan Feuerriegel FaML OffRL 70 6 0 15 Mar 2023
The Life Cycle of Knowledge in Big Language Models: A Survey Boxi Cao Hongyu Lin Xianpei Han Le Sun KELM 95 28 0 14 Mar 2023
Causal Dependence Plots Joshua R. Loftus Lucius E.J. Bynum Sakina Hansen CML 67 1 0 07 Mar 2023
Achieving Counterfactual Fairness for Anomaly Detection Xiao Han Lu Zhang Yongkai Wu Shuhan Yuan 38 7 0 04 Mar 2023
Auditing for Spatial Fairness Dimitris Sacharidis G. Giannopoulos George Papastefanatos Kostas Stefanidis 23 2 0 23 Feb 2023
Counterfactual Situation Testing: Uncovering Discrimination under Fairness given the Difference Jose M. Alvarez Salvatore Ruggieri 74 13 0 23 Feb 2023
Designing Equitable Algorithms Alex Chohlas-Wood Madison Coots Sharad Goel Julian Nyarko FaML 45 14 0 17 Feb 2023
A Review of the Role of Causality in Developing Trustworthy AI Systems Niloy Ganguly Dren Fazlija Maryam Badar M. Fisichella Sandipan Sikdar ... Koustav Rudra Manolis Koubarakis Gourab K. Patro W. Z. E. Amri Wolfgang Nejdl CML 89 26 0 14 Feb 2023
Improving Recommendation Fairness via Data Augmentation Lei Chen Le Wu Kun Zhang Richang Hong Defu Lian Qing Cui Jun Zhou Meng Wang FedML 56 46 0 13 Feb 2023
Improving Fair Training under Correlation Shifts Yuji Roh Kangwook Lee Steven Euijong Whang Changho Suh 102 18 0 05 Feb 2023
Increasing Fairness via Combination with Learning Guarantees Yijun Bian Kun Zhang FaML 135 3 0 25 Jan 2023
Tier Balancing: Towards Dynamic Fairness over Underlying Causal Factors Zeyu Tang Yatong Chen Yang Liu Kun Zhang 55 8 0 21 Jan 2023
Consistent Range Approximation for Fair Predictive Modeling Jiongli Zhu Sainyam Galhotra Nazanin Sabri Babak Salimi 77 11 0 21 Dec 2022
PreFair: Privately Generating Justifiably Fair Synthetic Data David Pujol Amir Gilad Ashwin Machanavajjhala 79 7 0 20 Dec 2022
Simplicity Bias Leads to Amplified Performance Disparities Samuel J. Bell Levent Sagun 53 13 0 13 Dec 2022
Causal Fairness Assessment of Treatment Allocation with Electronic Health Records Linying Zhang L. Richter Yixin Wang A. Ostropolets Noémie Elhadad David M. Blei G. Hripcsak CML 66 3 0 21 Nov 2022
Backtracking Counterfactuals Julius von Kügelgen Abdirisak Mohamed Sander Beckers LRM 102 18 0 01 Nov 2022
Improvement-Focused Causal Recourse (ICR) Gunnar Konig Timo Freiesleben Moritz Grosse-Wentrup CML 76 16 0 27 Oct 2022
I Prefer not to Say: Protecting User Consent in Models with Optional Personal Data Tobias Leemann Martin Pawelczyk Christian Thomas Eberle Gjergji Kasneci 82 1 0 25 Oct 2022
Simpson's Paradox in Recommender Fairness: Reconciling differences between per-user and aggregated evaluations Flavien Prost Ben Packer Jilin Chen Li Wei Pierre-Antoine Kremp ... Tulsee Doshi Tonia Osadebe Lukasz Heldt Ed H. Chi Alex Beutel 73 5 0 14 Oct 2022
Fairness via Adversarial Attribute Neighbourhood Robust Learning Q. Qi Shervin Ardeshir Yi Tian Xu Tianbao Yang 134 0 0 12 Oct 2022
Weak Proxies are Sufficient and Preferable for Fairness with Missing Sensitive Attributes Zhaowei Zhu Yuanshun Yao Jiankai Sun Hanguang Li Yang Liu 91 24 0 06 Oct 2022
SCALES: From Fairness Principles to Constrained Decision-Making Sreejith Balakrishnan Jianxin Bi Harold Soh FaML 115 3 0 22 Sep 2022
Fairness and robustness in anti-causal prediction Maggie Makar Alexander DÁmour OOD 102 12 0 20 Sep 2022
Fairness in Forecasting of Observations of Linear Dynamical Systems Quan Zhou Jakub Mareˇcek Robert Shorten AI4TS 108 5 0 12 Sep 2022
Fairness and Randomness in Machine Learning: Statistical Independence and Relativization Rabanus Derr Robert C. Williamson FaML 36 4 0 27 Jul 2022
Learning Counterfactually Invariant Predictors Francesco Quinzan Cecilia Casolo Krikamol Muandet Yucen Luo Niki Kilbertus 118 10 0 20 Jul 2022
Bias Mitigation for Machine Learning Classifiers: A Comprehensive Survey Max Hort Zhenpeng Chen Jie M. Zhang Mark Harman Federica Sarro FaML AI4CE 113 177 0 14 Jul 2022
Causal Conceptions of Fairness and their Consequences H. Nilforoshan Johann D. Gaebler Ravi Shroff Sharad Goel FaML 199 46 0 12 Jul 2022
Is your model predicting the past? Moritz Hardt Michael P. Kim 74 11 0 23 Jun 2022
Quantifying Feature Contributions to Overall Disparity Using Information Theory Sanghamitra Dutta Praveen Venkatesh P. Grover FAtt 47 5 0 16 Jun 2022
Causal Discovery for Fairness Ruta Binkyt.e-Sadauskien.e K. Makhlouf Carlos Pinzón Sami Zhioua C. Palamidessi CML 78 18 0 14 Jun 2022
What-is and How-to for Fairness in Machine Learning: A Survey, Reflection, and Perspective Zeyu Tang Jiji Zhang Kun Zhang FaML 96 29 0 08 Jun 2022
Group Meritocratic Fairness in Linear Contextual Bandits Riccardo Grazzi A. Akhavan Johannes Falk Leonardo Cella Massimiliano Pontil FaML 64 9 0 07 Jun 2022
(Im)possibility of Collective Intelligence Krikamol Muandet 259 6 0 05 Jun 2022
Counterfactual Fairness with Partially Known Causal Graph Aoqi Zuo Susan Wei Tongliang Liu Bo Han Kun Zhang Biwei Huang OOD FaML 65 19 0 27 May 2022
What Is Fairness? On the Role of Protected Attributes and Fictitious Worlds Ludwig Bothmann Kristina Peters Bernd Bischl 39 5 0 19 May 2022
Multi-disciplinary fairness considerations in machine learning for clinical trials Isabel Chien Nina Deliu Richard Turner Adrian Weller S. Villar Niki Kilbertus FaML 73 23 0 18 May 2022
What is Proxy Discrimination? Michael Carl Tschantz 132 20 0 11 May 2022
Synthetic Data -- what, why and how? James Jordon Lukasz Szpruch F. Houssiau M. Bottarelli Giovanni Cherubin Carsten Maple Samuel N. Cohen Adrian Weller 94 120 0 06 May 2022
Assessing Dataset Bias in Computer Vision Athiya Deviyani CVBM 56 9 0 03 May 2022
A Human-Centric Perspective on Fairness and Transparency in Algorithmic Decision-Making Jakob Schoeffer FaML 56 3 0 29 Apr 2022