Path-Specific Counterfactual Fairness

22 February 2018

Papers citing "Path-Specific Counterfactual Fairness"

50 / 190 papers shown

Title
Diagnosing failures of fairness transfer across distribution shift in real-world medical settings Jessica Schrouff Natalie Harris Oluwasanmi Koyejo Ibrahim M. Alabdulmohsin Eva Schnider ... Vivek Natarajan Alan Karthikesalingam Katherine A. Heller Silvia Chiappa Alexander DÁmour OOD 60 53 0 02 Feb 2022
Causal Explanations and XAI Sander Beckers CML XAI 28 35 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
The Fairness Field Guide: Perspectives from Social and Formal Sciences Alycia N. Carey Xintao Wu FaML 22 5 0 13 Jan 2022
Learning Fair Node Representations with Graph Counterfactual Fairness Jing Ma Ruocheng Guo Mengting Wan Longqi Yang Aidong Zhang Jundong Li FaML 12 79 0 10 Jan 2022
Deconfounded Visual Grounding Jianqiang Huang Yu Qin Jiaxin Qi Qianru Sun Hanwang Zhang CML ObjD 21 31 0 31 Dec 2021
Modeling Implicit Bias with Fuzzy Cognitive Maps Gonzalo Nápoles Isel Grau Leonardo Concepción Lisa Koutsoviti Koumeri João Paulo Papa 18 26 0 23 Dec 2021
Interpretable Data-Based Explanations for Fairness Debugging Romila Pradhan Jiongli Zhu Boris Glavic Babak Salimi 16 53 0 17 Dec 2021
A Causal Approach for Unfair Edge Prioritization and Discrimination Removal Pavan Ravishankar Pranshu Malviya Balaraman Ravindran 33 1 0 29 Nov 2021
Algorithmic encoding of protected characteristics in image-based models for disease detection Ben Glocker Charles Jones Mélanie Bernhardt S. Winzeck 29 9 0 27 Oct 2021
VACA: Design of Variational Graph Autoencoders for Interventional and Counterfactual Queries Pablo Sánchez-Martín Miriam Rateike Isabel Valera CML BDL 39 14 0 27 Oct 2021
Developing a novel fair-loan-predictor through a multi-sensitive debiasing pipeline: DualFair Ashutosh Kumar Singh Jashandeep Singh Ariba Khan Amar Gupta FaML 21 3 0 17 Oct 2021
Achieving Counterfactual Fairness for Causal Bandit Wen Huang Lu Zhang Xintao Wu CML 125 22 0 21 Sep 2021
Towards Out-Of-Distribution Generalization: A Survey Jiashuo Liu Zheyan Shen Yue He Xingxuan Zhang Renzhe Xu Han Yu Peng Cui CML OOD 61 519 0 31 Aug 2021
Transport-based Counterfactual Models Lucas de Lara Alberto González Sanz Nicholas M. Asher Laurent Risser Jean-Michel Loubes 30 27 0 30 Aug 2021
Explaining Algorithmic Fairness Through Fairness-Aware Causal Path Decomposition Weishen Pan Sen Cui Jiang Bian Changshui Zhang Fei-Yue Wang CML FaML 24 33 0 11 Aug 2021
Trustworthy AI: A Computational Perspective Haochen Liu Yiqi Wang Wenqi Fan Xiaorui Liu Yaxin Li Shaili Jain Yunhao Liu Anil K. Jain Jiliang Tang FaML 104 196 0 12 Jul 2021
Disaggregated Interventions to Reduce Inequality Lucius E.J. Bynum Joshua R. Loftus Julia Stoyanovich 42 13 0 01 Jul 2021
Contrastive Mixture of Posteriors for Counterfactual Inference, Data Integration and Fairness Adam Foster Árpi Vezér C. A. Glastonbury Páidí Creed Sam Abujudeh Aaron Sim FaML 17 5 0 15 Jun 2021
Deep Clustering based Fair Outlier Detection Hanyu Song Peizhao Li Hongfu Liu FaML 14 33 0 09 Jun 2021
A Clarification of the Nuances in the Fairness Metrics Landscape Alessandro Castelnovo Riccardo Crupi Greta Greco D. Regoli Ilaria Giuseppina Penco A. Cosentini FaML 13 182 0 01 Jun 2021
Impact of Gender Debiased Word Embeddings in Language Modeling Christine Basta Marta R. Costa-jussá 26 4 0 03 May 2021
FairDrop: Biased Edge Dropout for Enhancing Fairness in Graph Representation Learning Indro Spinelli Simone Scardapane Amir Hussain A. Uncini FaML 41 80 0 29 Apr 2021
Robust Semantic Interpretability: Revisiting Concept Activation Vectors J. Pfau A. Young Jerome Wei Maria L. Wei Michael J. Keiser FAtt 39 14 0 06 Apr 2021
Explaining Black-Box Algorithms Using Probabilistic Contrastive Counterfactuals Sainyam Galhotra Romila Pradhan Babak Salimi CML 14 105 0 22 Mar 2021
Causal Analysis of Agent Behavior for AI Safety Grégoire Delétang Jordi Grau-Moya Miljan Martic Tim Genewein Tom McGrath Vladimir Mikulik M. Kunesch Shane Legg Pedro A. Ortega CML 32 6 0 05 Mar 2021
Learning to Generate Fair Clusters from Demonstrations Sainyam Galhotra Sandhya Saisubramanian S. Zilberstein FaML 29 9 0 08 Feb 2021
BeFair: Addressing Fairness in the Banking Sector Alessandro Castelnovo Riccardo Crupi Giulia Del Gamba Greta Greco A. Naseer D. Regoli Beatriz San Miguel González FaML 31 16 0 03 Feb 2021
Through the Data Management Lens: Experimental Analysis and Evaluation of Fair Classification Maliha Tashfia Islam Anna Fariha A. Meliou Babak Salimi FaML 30 25 0 18 Jan 2021
Fairness in Machine Learning L. Oneto Silvia Chiappa FaML 256 491 0 31 Dec 2020
Removing Spurious Features can Hurt Accuracy and Affect Groups Disproportionately Fereshte Khani Percy Liang FaML 21 65 0 07 Dec 2020
Counterfactual Fairness with Disentangled Causal Effect Variational Autoencoder Hyemi Kim Seungjae Shin Joonho Jang Kyungwoo Song Weonyoung Joo Wanmo Kang Il-Chul Moon BDL CML 14 56 0 24 Nov 2020
Shortcomings of Counterfactual Fairness and a Proposed Modification Fabian Beigang 9 0 0 14 Nov 2020
Inherent Trade-offs in the Fair Allocation of Treatments Yuzi He Keith Burghardt Siyi Guo Kristina Lerman FaML 6 5 0 30 Oct 2020
All of the Fairness for Edge Prediction with Optimal Transport Charlotte Laclau I. Redko Manvi Choudhary C. Largeron FaML 6 42 0 30 Oct 2020
Algorithms for Causal Reasoning in Probability Trees Tim Genewein Tom McGrath Grégoire Delétang Vladimir Mikulik Miljan Martic Shane Legg Pedro A. Ortega TPM CML 20 16 0 23 Oct 2020
Achieving User-Side Fairness in Contextual Bandits Wen Huang Kevin Labille Xintao Wu Dongwon Lee Neil T. Heffernan FaML 84 18 0 22 Oct 2020
Survey on Causal-based Machine Learning Fairness Notions K. Makhlouf Sami Zhioua C. Palamidessi FaML 17 84 0 19 Oct 2020
Causal Multi-Level Fairness Vishwali Mhasawade R. Chunara 22 26 0 14 Oct 2020
On the Fairness of Causal Algorithmic Recourse Julius von Kügelgen Amir-Hossein Karimi Umang Bhatt Isabel Valera Adrian Weller Bernhard Schölkopf FaML 80 82 0 13 Oct 2020
Metrics and methods for a systematic comparison of fairness-aware machine learning algorithms Gareth Jones James M. Hickey Pietro G. Di Stefano C. Dhanjal Laura C. Stoddart V. Vasileiou FaML 33 21 0 08 Oct 2020
Assessing Classifier Fairness with Collider Bias Zhenlong Xu Ziqi Xu Jixue Liu Debo Cheng Jiuyong Li Lin Liu Adelaide Canada Ziqi Xu Zhenlong Xu contributed equally to this paper CML FaML 20 4 0 08 Oct 2020
Fairness in Machine Learning: A Survey Simon Caton C. Haas FaML 32 616 0 04 Oct 2020
Adversarial Learning for Counterfactual Fairness Vincent Grari Sylvain Lamprier Marcin Detyniecki FaML 25 22 0 30 Aug 2020
Improving Fair Predictions Using Variational Inference In Causal Models Rik Helwegen Christos Louizos Patrick Forré FaML 19 6 0 25 Aug 2020
Machine learning fairness notions: Bridging the gap with real-world applications K. Makhlouf Sami Zhioua C. Palamidessi FaML 11 53 0 30 Jun 2020
Algorithmic Decision Making with Conditional Fairness Renzhe Xu Peng Cui Kun Kuang Bo Li Linjun Zhou Zheyan Shen Wei Cui FaML 21 36 0 18 Jun 2020
Extending the Machine Learning Abstraction Boundary: A Complex Systems Approach to Incorporate Societal Context Donald Martin Vinodkumar Prabhakaran Jill A. Kuhlberg A. Smart William S. Isaac FaML 14 40 0 17 Jun 2020
Causal intersectionality for fair ranking Ke Yang Joshua R. Loftus Julia Stoyanovich 35 40 0 15 Jun 2020
Fairness Under Feature Exemptions: Counterfactual and Observational Measures Sanghamitra Dutta Praveen Venkatesh Piotr (Peter) Mardziel Anupam Datta P. Grover 6 16 0 14 Jun 2020