Fairness without the sensitive attribute via Causal Variational
Autoencoder

Fairness without the sensitive attribute via Causal Variational Autoencoder

International Joint Conference on Artificial Intelligence (IJCAI), 2021

10 September 2021

Sylvain Lamprier

Marcin Detyniecki

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Papers citing "Fairness without the sensitive attribute via Causal Variational Autoencoder"

18 / 18 papers shown

Title
Fairness-Aware Graph Representation Learning with Limited Demographic Information Zichong Wang Zhipeng Yin L. Yang Jun Zhuang Rui Yu Qingzhao Kong Wenbin Zhang 169 2 0 17 Nov 2025
Demographic-Agnostic Fairness without Harm Zhongteng Cai Mohammad Mahdi Khalili Xueru Zhang 100 0 0 28 Sep 2025
Fairness without Demographics through Learning Graph of GradientsKnowledge Discovery and Data Mining (KDD), 2024 Yingtao Luo Zerui Li Qiang Liu Jun Zhu 335 2 0 31 Dec 2024
Alpha and Prejudice: Improving $α$ -sized Worst-case Fairness via Intrinsic ReweightingIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2024 Jing Li Yinghua Yao Yuangang Pan Xuanqian Wang Ivor Tsang Xiuju Fu FaML 301 0 0 05 Nov 2024
Towards Harmless Rawlsian Fairness Regardless of Demographic PriorNeural Information Processing Systems (NeurIPS), 2024 Xuanqian Wang Jing Li Ivor Tsang Yew-Soon Ong 310 2 0 04 Nov 2024
Fairness without Sensitive Attributes via Knowledge SharingConference on Fairness, Accountability and Transparency (FAccT), 2024 Hongliang Ni Lei Han Tong Chen S. Sadiq Gianluca Demartini 288 9 0 27 Sep 2024
Cherry on the Cake: Fairness is NOT an Optimization Problem Marco Favier T. Calders 151 3 0 24 Jun 2024
Fair Recommendations with Limited Sensitive Attributes: A Distributionally Robust Optimization Approach Tianhao Shi Yang Zhang Jizhi Zhang Fuli Feng Xiangnan He 220 7 0 02 May 2024
Configurable Fairness: Direct Optimization of Parity Metrics via Vision-Language Models Miao Zhang R. Chunara VLM 172 1 0 15 Mar 2024
Towards Counterfactual Fairness-aware Domain Generalization in Changing EnvironmentsInternational Joint Conference on Artificial Intelligence (IJCAI), 2023 Yujie Lin Chen Zhao Minglai Shao Baoluo Meng Xujiang Zhao Haifeng Chen 224 7 0 22 Sep 2023
Improving Fairness in Deepfake DetectionIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023 Yan Ju Shu Hu Shan Jia George H. Chen Siwei Lyu 301 53 0 29 Jun 2023
Contagion Effect Estimation Using Proximal EmbeddingsCLEaR (CLEaR), 2023 Zahra Fatemi Elena Zheleva 209 2 0 04 Jun 2023
Manifestations of Xenophobia in AI SystemsAi & Society (AS), 2022 Nenad Tomašev J. L. Maynard Iason Gabriel 345 11 0 15 Dec 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 205 7 0 10 Oct 2022
Bias Mitigation for Machine Learning Classifiers: A Comprehensive SurveyACM Journal on Responsible Computing (JRC), 2022 Max Hort Zhenpeng Chen Jie M. Zhang Mark Harman Federica Sarro FaML AI4CE 329 234 0 14 Jul 2022
Learning Fair Models without Sensitive Attributes: A Generative ApproachNeurocomputing (Neurocomputing), 2022 Huaisheng Zhu Suhang Wang FaML 126 12 0 30 Mar 2022
A Fair Pricing Model via Adversarial Learning Vincent Grari Arthur Charpentier Marcin Detyniecki 269 16 0 24 Feb 2022
FairMask: Better Fairness via Model-based Rebalancing of Protected Attributes Kewen Peng Joymallya Chakraborty Tim Menzies FaML 246 37 0 03 Oct 2021