Counterfactual Fairness

20 March 2017

Papers citing "Counterfactual Fairness"

50 / 823 papers shown

Title
A Survey on Fairness for Machine Learning on Graphs Charlotte Laclau C. Largeron Manvi Choudhary FaML 17 23 0 11 May 2022
Don't Throw it Away! The Utility of Unlabeled Data in Fair Decision Making Miriam Rateike Ayan Majumdar Olga Mineeva Krishna P. Gummadi Isabel Valera OffRL 37 11 0 10 May 2022
Towards a multi-stakeholder value-based assessment framework for algorithmic systems Mireia Yurrita Dave Murray-Rust Agathe Balayn A. Bozzon MLAU 36 29 0 09 May 2022
Learning to Split for Automatic Bias Detection Yujia Bao Regina Barzilay 26 20 0 28 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 21 2 0 28 Apr 2022
Counterfactual harm Jonathan G. Richens R. Beard Daniel H. Thompson 40 27 0 27 Apr 2022
Fairness in Graph Mining: A Survey Yushun Dong Jing Ma Song Wang Chen Chen Jundong Li FaML 34 114 0 21 Apr 2022
Causality-based Neural Network Repair Bing-Jie Sun Jun Sun Hong Long Pham Jie Shi 19 79 0 20 Apr 2022
Demographic-Reliant Algorithmic Fairness: Characterizing the Risks of Demographic Data Collection in the Pursuit of Fairness Mckane Andrus Sarah Villeneuve FaML 32 50 0 18 Apr 2022
Fair Algorithm Design: Fair and Efficacious Machine Scheduling April Niu Agnes Totschnig A. Vetta FaML 31 3 0 13 Apr 2022
What You See is What You Get: Principled Deep Learning via Distributional Generalization B. Kulynych Yao-Yuan Yang Yaodong Yu Jarosław Błasiok Preetum Nakkiran OOD 30 9 0 07 Apr 2022
Marrying Fairness and Explainability in Supervised Learning Przemyslaw A. Grabowicz Nicholas Perello Aarshee Mishra FaML 51 43 0 06 Apr 2022
Achieving Long-Term Fairness in Sequential Decision Making Yaowei Hu Lu Zhang 31 20 0 04 Apr 2022
From Statistical to Causal Learning Bernhard Schölkopf Julius von Kügelgen CML 34 45 0 01 Apr 2022
Counterfactual Cycle-Consistent Learning for Instruction Following and Generation in Vision-Language Navigation Han Wang Wei Liang Jianbing Shen Luc Van Gool Wenguan Wang 40 55 0 30 Mar 2022
Fair Contrastive Learning for Facial Attribute Classification Sungho Park Jewook Lee Pilhyeon Lee Sunhee Hwang D. Kim H. Byun FaML 39 88 0 30 Mar 2022
Repairing Group-Level Errors for DNNs Using Weighted Regularization Ziyuan Zhong Yuchi Tian Conor J. Sweeney Vicente Ordonez Baishakhi Ray 24 0 0 24 Mar 2022
Improving the Fairness of Chest X-ray Classifiers Haoran Zhang Natalie Dullerud Karsten Roth Lauren Oakden-Rayner Stephen R. Pfohl Marzyeh Ghassemi 25 65 0 23 Mar 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
Representation Bias in Data: A Survey on Identification and Resolution Techniques N. Shahbazi Yin Lin Abolfazl Asudeh H. V. Jagadish 48 69 0 22 Mar 2022
Measuring Fairness of Text Classifiers via Prediction Sensitivity Satyapriya Krishna Rahul Gupta Apurv Verma Jwala Dhamala Yada Pruksachatkun Kai-Wei Chang 22 6 0 16 Mar 2022
Cross-model Fairness: Empirical Study of Fairness and Ethics Under Model Multiplicity Kacper Sokol Meelis Kull J. Chan Flora D. Salim 37 6 0 14 Mar 2022
The Long Arc of Fairness: Formalisations and Ethical Discourse Pola Schwöbel Peter Remmers 32 18 0 08 Mar 2022
Selection, Ignorability and Challenges With Causal Fairness Jake Fawkes R. Evans Dino Sejdinovic 86 19 0 28 Feb 2022
Fast Feature Selection with Fairness Constraints Francesco Quinzan Rajiv Khanna Moshik Hershcovitch S. Cohen Daniel Waddington Tobias Friedrich Michael W. Mahoney 16 3 0 28 Feb 2022
On Learning and Testing of Counterfactual Fairness through Data Preprocessing Haoyu Chen Wenbin Lu R. Song Pulak Ghosh FaML 20 6 0 25 Feb 2022
A Fair Pricing Model via Adversarial Learning Vincent Grari Arthur Charpentier Marcin Detyniecki 29 13 0 24 Feb 2022
Attainability and Optimality: The Equalized Odds Fairness Revisited Zeyu Tang Kun Zhang FaML 21 11 0 24 Feb 2022
A Complete Criterion for Value of Information in Soluble Influence Diagrams Chris van Merwijk Ryan Carey Tom Everitt 29 5 0 23 Feb 2022
Why Fair Labels Can Yield Unfair Predictions: Graphical Conditions for Introduced Unfairness Carolyn Ashurst Ryan Carey Silvia Chiappa Tom Everitt FaML 42 15 0 22 Feb 2022
Stochastic Causal Programming for Bounding Treatment Effects Kirtan Padh Jakob Zeitler David S. Watson Matt J. Kusner Ricardo M. A. Silva Niki Kilbertus CML 36 26 0 22 Feb 2022
Diffusion Causal Models for Counterfactual Estimation Pedro Sanchez Sotirios A. Tsaftaris DiffM BDL 40 69 0 21 Feb 2022
Fairness constraint in Structural Econometrics and Application to fair estimation using Instrumental Variables S. Centorrino J. Florens Jean-Michel Loubes FaML 20 1 0 16 Feb 2022
Prediction Sensitivity: Continual Audit of Counterfactual Fairness in Deployed Classifiers Krystal Maughan Ivoline C. Ngong Joseph P. Near 22 2 0 09 Feb 2022
Regulatory Instruments for Fair Personalized Pricing Renzhe Xu Xingxuan Zhang Pengbi Cui Yangqiu Song Zheyan Shen Jiazheng Xu 19 15 0 09 Feb 2022
Counterfactual Multi-Token Fairness in Text Classification P. Lohia 24 3 0 08 Feb 2022
Fair Interpretable Representation Learning with Correction Vectors Mattia Cerrato A. Coronel Marius Köppel A. Segner Roberto Esposito Stefan Kramer FaML 14 5 0 07 Feb 2022
Distributionally Robust Fair Principal Components via Geodesic Descents Hieu Vu Toan M. Tran Man-Chung Yue Viet Anh Nguyen 27 14 0 07 Feb 2022
Learning fair representation with a parametric integral probability metric Dongha Kim Kunwoong Kim Insung Kong Ilsang Ohn Yongdai Kim FaML 27 16 0 07 Feb 2022
Evaluation Methods and Measures for Causal Learning Algorithms Lu Cheng Ruocheng Guo Raha Moraffah Paras Sheth K. S. Candan Huan Liu CML ELM 31 51 0 07 Feb 2022
Proportional Fairness in Federated Learning Guojun Zhang Saber Malekmohammadi Xi Chen Yaoliang Yu FedML 30 24 0 03 Feb 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
Causal Explanations and XAI Sander Beckers CML XAI 30 35 0 31 Jan 2022
Understanding Why Generalized Reweighting Does Not Improve Over ERM Runtian Zhai Chen Dan Zico Kolter Pradeep Ravikumar OOD 44 27 0 28 Jan 2022
A Systematic Study of Bias Amplification Melissa Hall Laurens van der Maaten Laura Gustafson Maxwell Jones Aaron B. Adcock 104 71 0 27 Jan 2022
Promises and Challenges of Causality for Ethical Machine Learning Aida Rahmattalabi Alice Xiang FaML CML 128 8 0 26 Jan 2022
Explainability in Music Recommender Systems Darius Afchar Alessandro B. Melchiorre Markus Schedl Romain Hennequin Elena V. Epure Manuel Moussallam 39 48 0 25 Jan 2022
The Fairness Field Guide: Perspectives from Social and Formal Sciences Alycia N. Carey Xintao Wu FaML 30 5 0 13 Jan 2022
FairEdit: Preserving Fairness in Graph Neural Networks through Greedy Graph Editing Donald Loveland Jiayi Pan A. Bhathena Yiyang Lu 13 16 0 10 Jan 2022
Learning Fair Node Representations with Graph Counterfactual Fairness Jing Ma Ruocheng Guo Mengting Wan Longqi Yang Aidong Zhang Jundong Li FaML 20 79 0 10 Jan 2022