Avoiding Discrimination through Causal Reasoning

8 June 2017

Niki Kilbertus

Mateo Rojas-Carulla

Giambattista Parascandolo

Papers citing "Avoiding Discrimination through Causal Reasoning"

50 / 308 papers shown

Title
Fairness in Image Search: A Study of Occupational Stereotyping in Image Retrieval and its Debiasing Swagatika Dash 36 0 0 06 May 2023
Fairness through Aleatoric Uncertainty Anique Tahir Lu Cheng Huan Liu 48 11 0 07 Apr 2023
Fair Off-Policy Learning from Observational Data Dennis Frauen Valentyn Melnychuk Stefan Feuerriegel FaML OffRL 30 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 38 27 0 14 Mar 2023
Causal Dependence Plots Joshua R. Loftus Lucius E.J. Bynum Sakina Hansen CML 35 1 0 07 Mar 2023
Achieving Counterfactual Fairness for Anomaly Detection Xiao Han Lu Zhang Yongkai Wu Shuhan Yuan 6 7 0 04 Mar 2023
Auditing for Spatial Fairness Dimitris Sacharidis G. Giannopoulos George Papastefanatos Kostas Stefanidis 16 2 0 23 Feb 2023
Counterfactual Situation Testing: Uncovering Discrimination under Fairness given the Difference Jose M. Alvarez Salvatore Ruggieri 30 13 0 23 Feb 2023
Designing Equitable Algorithms Alex Chohlas-Wood Madison Coots Sharad Goel Julian Nyarko FaML 16 13 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 46 23 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 19 44 0 13 Feb 2023
Improving Fair Training under Correlation Shifts Yuji Roh Kangwook Lee Steven Euijong Whang Changho Suh 35 17 0 05 Feb 2023
Increasing Fairness via Combination with Learning Guarantees Yijun Bian Kun Zhang FaML 32 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
Consistent Range Approximation for Fair Predictive Modeling Jiongli Zhu Sainyam Galhotra Nazanin Sabri Babak Salimi 33 10 0 21 Dec 2022
PreFair: Privately Generating Justifiably Fair Synthetic Data David Pujol Amir Gilad Ashwin Machanavajjhala 33 7 0 20 Dec 2022
Simplicity Bias Leads to Amplified Performance Disparities Samuel J. Bell Levent Sagun 26 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 42 1 0 21 Nov 2022
Backtracking Counterfactuals Julius von Kügelgen Abdirisak Mohamed Sander Beckers LRM 48 17 0 01 Nov 2022
Improvement-Focused Causal Recourse (ICR) Gunnar Konig Timo Freiesleben Moritz Grosse-Wentrup CML 39 15 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 40 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 30 5 0 14 Oct 2022
Fairness via Adversarial Attribute Neighbourhood Robust Learning Q. Qi Shervin Ardeshir Yi Tian Xu Tianbao Yang 45 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 39 21 0 06 Oct 2022
SCALES: From Fairness Principles to Constrained Decision-Making Sreejith Balakrishnan Jianxin Bi Harold Soh FaML 25 2 0 22 Sep 2022
Fairness and robustness in anti-causal prediction Maggie Makar Alexander DÁmour OOD 36 10 0 20 Sep 2022
Fairness in Forecasting of Observations of Linear Dynamical Systems Quan Zhou Jakub Mareˇcek Robert Shorten AI4TS 45 5 0 12 Sep 2022
Fairness and Randomness in Machine Learning: Statistical Independence and Relativization Rabanus Derr Robert C. Williamson FaML 17 4 0 27 Jul 2022
Learning Counterfactually Invariant Predictors Francesco Quinzan Cecilia Casolo Krikamol Muandet Yucen Luo Niki Kilbertus 41 8 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 38 162 0 14 Jul 2022
Causal Conceptions of Fairness and their Consequences H. Nilforoshan Johann D. Gaebler Ravi Shroff Sharad Goel FaML 142 45 0 12 Jul 2022
Is your model predicting the past? Moritz Hardt Michael P. Kim 29 11 0 23 Jun 2022
Quantifying Feature Contributions to Overall Disparity Using Information Theory Sanghamitra Dutta Praveen Venkatesh P. Grover FAtt 24 5 0 16 Jun 2022
Causal Discovery for Fairness Ruta Binkyt.e-Sadauskien.e K. Makhlouf Carlos Pinzón Sami Zhioua C. Palamidessi CML 34 16 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 38 26 0 08 Jun 2022
Group Meritocratic Fairness in Linear Contextual Bandits Riccardo Grazzi A. Akhavan Johannes Falk Leonardo Cella Massimiliano Pontil FaML 32 8 0 07 Jun 2022
(Im)possibility of Collective Intelligence Krikamol Muandet 40 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 29 19 0 27 May 2022
What Is Fairness? On the Role of Protected Attributes and Fictitious Worlds Ludwig Bothmann Kristina Peters Bernd Bischl 27 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 39 20 0 18 May 2022
What is Proxy Discrimination? Michael Carl Tschantz 8 18 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 51 109 0 06 May 2022
Assessing Dataset Bias in Computer Vision Athiya Deviyani CVBM 25 9 0 03 May 2022
A Human-Centric Perspective on Fairness and Transparency in Algorithmic Decision-Making Jakob Schoeffer FaML 34 3 0 29 Apr 2022
Cumulative Stay-time Representation for Electronic Health Records in Medical Event Time Prediction Takayuki Katsuki Kohei Miyaguchi Akira Koseki T. Iwamori Ryosuke Yanagiya Atsushi Suzuki AI4TS 16 2 0 28 Apr 2022
Fair Algorithm Design: Fair and Efficacious Machine Scheduling April Niu Agnes Totschnig A. Vetta FaML 31 3 0 13 Apr 2022
Marrying Fairness and Explainability in Supervised Learning Przemyslaw A. Grabowicz Nicholas Perello Aarshee Mishra FaML 51 43 0 06 Apr 2022
From Statistical to Causal Learning Bernhard Schölkopf Julius von Kügelgen CML 34 45 0 01 Apr 2022
Can Prompt Probe Pretrained Language Models? Understanding the Invisible Risks from a Causal View Boxi Cao Hongyu Lin Xianpei Han Fangchao Liu Le Sun ELM AAML 28 41 0 23 Mar 2022
The price of unfairness in linear bandits with biased feedback Solenne Gaucher Alexandra Carpentier Christophe Giraud FaML 23 2 0 18 Mar 2022