Counterfactual Fairness

20 March 2017

Papers citing "Counterfactual Fairness"

50 / 823 papers shown

Title
Learning Action-Effect Dynamics for Hypothetical Vision-Language Reasoning Task Shailaja Keyur Sampat Pratyay Banerjee Yezhou Yang Chitta Baral 31 2 0 07 Dec 2022
Breaking the Spurious Causality of Conditional Generation via Fairness Intervention with Corrective Sampling J. Nam Sangwoo Mo Jaeho Lee Jinwoo Shin 29 7 0 05 Dec 2022
Finding Differences Between Transformers and ConvNets Using Counterfactual Simulation Testing Nataniel Ruiz Sarah Adel Bargal Cihang Xie Kate Saenko Stan Sclaroff ViT 41 5 0 29 Nov 2022
Learning Antidote Data to Individual Unfairness Peizhao Li Ethan Xia Hongfu Liu FedML FaML 24 9 0 29 Nov 2022
Deep Fake Detection, Deterrence and Response: Challenges and Opportunities Amin Azmoodeh Ali Dehghantanha 45 2 0 26 Nov 2022
Equality of Effort via Algorithmic Recourse Francesca Raimondi A. Lawrence Hana Chockler 32 1 0 21 Nov 2022
Supervised Feature Compression based on Counterfactual Analysis V. Piccialli Dolores Romero Morales Cecilia Salvatore CML 34 2 0 17 Nov 2022
Reinforcement Learning with Stepwise Fairness Constraints Zhun Deng He Sun Zhiwei Steven Wu Linjun Zhang David C. Parkes FaML OffRL 43 11 0 08 Nov 2022
Backtracking Counterfactuals Julius von Kügelgen Abdirisak Mohamed Sander Beckers LRM 48 17 0 01 Nov 2022
Mitigating Unfairness via Evolutionary Multi-objective Ensemble Learning Qingquan Zhang Jialin Liu Zeqi Zhang J. Wen Bifei Mao Xin Yao FaML 48 17 0 30 Oct 2022
Differential Privacy has Bounded Impact on Fairness in Classification Paul Mangold Michaël Perrot A. Bellet Marc Tommasi 38 17 0 28 Oct 2022
Improvement-Focused Causal Recourse (ICR) Gunnar Konig Timo Freiesleben Moritz Grosse-Wentrup CML 39 15 0 27 Oct 2022
Causal Information Bottleneck Boosts Adversarial Robustness of Deep Neural Network Hua Hua Jun Yan Xi Fang Weiquan Huang Huilin Yin Wancheng Ge AAML 30 1 0 25 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
Simultaneous Improvement of ML Model Fairness and Performance by Identifying Bias in Data B. Chaudhari Akash Agarwal Tanmoy Bhowmik 33 2 0 24 Oct 2022
Counterfactual Generation Under Confounding Abbavaram Gowtham Reddy Saloni Dash Amit Sharma V. Balasubramanian CML 41 2 0 22 Oct 2022
COFFEE: Counterfactual Fairness for Personalized Text Generation in Explainable Recommendation Nan Wang Qifan Wang Yi-Chia Wang Maziar Sanjabi Jingzhou Liu Hamed Firooz Hongning Wang Shaoliang Nie 33 6 0 14 Oct 2022
Walk a Mile in Their Shoes: a New Fairness Criterion for Machine Learning N. Matloff 26 0 0 13 Oct 2022
Fairness via Adversarial Attribute Neighbourhood Robust Learning Q. Qi Shervin Ardeshir Yi Tian Xu Tianbao Yang 45 0 0 12 Oct 2022
Equal Experience in Recommender Systems Jaewoong Cho Moonseok Choi Changho Suh FaML 23 1 0 12 Oct 2022
fAux: Testing Individual Fairness via Gradient Alignment Giuseppe Castiglione Ga Wu C. Srinivasa Simon J. D. Prince 15 4 0 10 Oct 2022
A survey of Identification and mitigation of Machine Learning algorithmic biases in Image Analysis Laurent Risser Agustin Picard Lucas Hervier Jean-Michel Loubes FaML 38 5 0 10 Oct 2022
Fairness in generative modeling M. Zameshina O. Teytaud F. Teytaud Vlad Hosu N. Carraz Laurent Najman Markus Wagner SyDa 28 2 0 06 Oct 2022
Conformalized Fairness via Quantile Regression Meichen Liu Lei Ding Dengdeng Yu Wulong Liu Linglong Kong Bei Jiang 46 10 0 05 Oct 2022
MEDFAIR: Benchmarking Fairness for Medical Imaging Yongshuo Zong Yongxin Yang Timothy M. Hospedales OOD 81 59 0 04 Oct 2022
Causal Intervention-based Prompt Debiasing for Event Argument Extraction Jiaju Lin Jie Zhou Qin Chen 24 3 0 04 Oct 2022
Addressing Fairness Issues in Deep Learning-Based Medical Image Analysis: A Systematic Review Zikang Xu Jun Li Yongshuo Zong Han Li Qingsong Yao S. Kevin Zhou 54 15 0 27 Sep 2022
Explanations, Fairness, and Appropriate Reliance in Human-AI Decision-Making Jakob Schoeffer Maria De-Arteaga Niklas Kuehl FaML 55 46 0 23 Sep 2022
SCALES: From Fairness Principles to Constrained Decision-Making Sreejith Balakrishnan Jianxin Bi Harold Soh FaML 22 2 0 22 Sep 2022
Towards Trustworthy AI-Empowered Real-Time Bidding for Online Advertisement Auctioning Xiaoli Tang Han Yu 50 5 0 21 Sep 2022
Fairness and robustness in anti-causal prediction Maggie Makar Alexander DÁmour OOD 36 10 0 20 Sep 2022
Survey on Fairness Notions and Related Tensions Guilherme Alves Fabien Bernier Miguel Couceiro K. Makhlouf C. Palamidessi Sami Zhioua FaML 43 25 0 16 Sep 2022
iFlipper: Label Flipping for Individual Fairness Hantian Zhang Ki Hyun Tae Jaeyoung Park Xu Chu Steven Euijong Whang 33 7 0 15 Sep 2022
Fair Inference for Discrete Latent Variable Models Rashidul Islam Shimei Pan James R. Foulds FaML 48 1 0 15 Sep 2022
It's Not Fairness, and It's Not Fair: The Failure of Distributional Equality and the Promise of Relational Equality in Complete-Information Hiring Games Benjamin Fish Luke Stark FaML 40 8 0 12 Sep 2022
Fairness in Forecasting of Observations of Linear Dynamical Systems Quan Zhou Jakub Mareˇcek Robert Shorten AI4TS 45 5 0 12 Sep 2022
Causal Intervention for Fairness in Multi-behavior Recommendation Xi Wang Wenjie Wang Fuli Feng Wenge Rong Chuantao Yin Zhang Xiong CML 22 2 0 10 Sep 2022
Analyzing the Effect of Sampling in GNNs on Individual Fairness Rebecca Salganik Fernando Diaz G. Farnadi 24 1 0 08 Sep 2022
Closed-Loop View of the Regulation of AI: Equal Impact across Repeated Interactions Quan-Gen Zhou Ramen Ghosh Robert Shorten Jakub Mareˇcek 40 1 0 03 Sep 2022
A Discussion of Discrimination and Fairness in Insurance Pricing M. Lindholm Ronald Richman A. Tsanakas M. Wüthrich FaML 17 8 0 02 Sep 2022
RAGUEL: Recourse-Aware Group Unfairness Elimination Aparajita Haldar Teddy Cunningham Hakan Ferhatosmanoglu FaML 40 3 0 30 Aug 2022
Debias the Black-box: A Fair Ranking Framework via Knowledge Distillation Z. Zhu Shijing Si Jianzong Wang Yaodong Yang Jing Xiao FedML 25 3 0 24 Aug 2022
TESTSGD: Interpretable Testing of Neural Networks Against Subtle Group Discrimination Mengdi Zhang Jun Sun Jingyi Wang Bing-Jie Sun 21 14 0 24 Aug 2022
Disentangled Representation with Causal Constraints for Counterfactual Fairness Ziqi Xu Jixue Liu Debo Cheng Jiuyong Li Lin Liu Ke Wang FaML OOD CML 50 7 0 19 Aug 2022
Locating disparities in machine learning Moritz von Zahn O. Hinz Stefan Feuerriegel 27 4 0 13 Aug 2022
Imputation Strategies Under Clinical Presence: Impact on Algorithmic Fairness Vincent Jeanselme Maria De-Arteaga Zhe Zhang Jessica Barrett Brian D. M. Tom FaML 35 11 0 13 Aug 2022
Unifying local and global model explanations by functional decomposition of low dimensional structures M. Hiabu Josephine T. Meyer Marvin N. Wright FAtt 27 20 0 12 Aug 2022
D-BIAS: A Causality-Based Human-in-the-Loop System for Tackling Algorithmic Bias Bhavya Ghai Klaus Mueller 30 40 0 10 Aug 2022
Counterfactual Fairness Is Basically Demographic Parity Lucas Rosenblatt R. T. Witter 25 15 0 07 Aug 2022
A Holistic Approach to Undesired Content Detection in the Real World Todor Markov Chong Zhang Sandhini Agarwal Tyna Eloundou Teddy Lee Steven Adler Angela Jiang L. Weng 25 214 0 05 Aug 2022