Learning Smooth and Fair Representations

15 June 2020

Papers citing "Learning Smooth and Fair Representations"

7 / 7 papers shown

Title
Fair Representation Learning for Continuous Sensitive Attributes using Expectation of Integral Probability Metrics Insung Kong Kunwoong Kim Yongdai Kim FaML 34 1 0 09 May 2025
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
SoFaiR: Single Shot Fair Representation Learning Xavier Gitiaux Huzefa Rangwala 34 4 0 26 Apr 2022
Learning fair representation with a parametric integral probability metric Dongha Kim Kunwoong Kim Insung Kong Ilsang Ohn Yongdai Kim FaML 25 16 0 07 Feb 2022
Latent Space Smoothing for Individually Fair Representations Momchil Peychev Anian Ruoss Mislav Balunović Maximilian Baader Martin Vechev FaML 38 19 0 26 Nov 2021
Fair Representations by Compression Xavier Gitiaux Huzefa Rangwala FaML 30 14 0 28 May 2021
Learning Adversarially Fair and Transferable Representations David Madras Elliot Creager T. Pitassi R. Zemel FaML 236 676 0 17 Feb 2018