Controllable Guarantees for Fair Outcomes via Contrastive Information
Estimation

Controllable Guarantees for Fair Outcomes via Contrastive Information Estimation

11 January 2021

Papers citing "Controllable Guarantees for Fair Outcomes via Contrastive Information Estimation"

12 / 12 papers shown

Title
Fair Representation Learning for Continuous Sensitive Attributes using Expectation of Integral Probability Metrics Insung Kong Kunwoong Kim Yongdai Kim FaML 32 1 0 09 May 2025
ReLU integral probability metric and its applications Yuha Park Kunwoong Kim Insung Kong Yongdai Kim 48 0 0 26 Apr 2025
Fair Text Classification via Transferable Representations Thibaud Leteno Michael Perrot Charlotte Laclau Antoine Gourru Christophe Gravier FaML 88 0 0 10 Mar 2025
Provable Optimization for Adversarial Fair Self-supervised Contrastive Learning Qi Qi Quanqi Hu Qihang Lin Tianbao Yang 37 1 0 09 Jun 2024
From Discrete to Continuous: Deep Fair Clustering With Transferable Representations Xiang Zhang 32 0 0 24 Mar 2024
MMD-B-Fair: Learning Fair Representations with Statistical Testing Namrata Deka Danica J. Sutherland 20 6 0 15 Nov 2022
Fair Representation Learning through Implicit Path Alignment Changjian Shui Qi Chen Jiaqi Li Boyu Wang Christian Gagné 41 28 0 26 May 2022
SoFaiR: Single Shot Fair Representation Learning Xavier Gitiaux Huzefa Rangwala 28 4 0 26 Apr 2022
Attributing Fair Decisions with Attention Interventions Ninareh Mehrabi Umang Gupta Fred Morstatter Greg Ver Steeg Aram Galstyan 32 21 0 08 Sep 2021
Fair Normalizing Flows Mislav Balunović Anian Ruoss Martin Vechev AAML 16 36 0 10 Jun 2021
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 323 4,212 0 23 Aug 2019
Learning Adversarially Fair and Transferable Representations David Madras Elliot Creager T. Pitassi R. Zemel FaML 233 674 0 17 Feb 2018