Learning fair representation with a parametric integral probability
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Learning fair representation with a parametric integral probability metric

7 February 2022

Papers citing "Learning fair representation with a parametric integral probability metric"

13 / 13 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
Back to the Drawing Board for Fair Representation Learning Angeline Pouget Nikola Jovanović Mark Vero Robin Staab Martin Vechev 30 0 0 28 May 2024
Learning Fair Representations with High-Confidence Guarantees Yuhong Luo Austin Hoag Philip S Thomas FaML AI4TS 45 0 0 23 Oct 2023
Hoeffding's Inequality for Markov Chains under Generalized Concentrability Condition Hao Chen Abhishek Gupta Yin Sun Ness B. Shroff 17 2 0 04 Oct 2023
Toward Operationalizing Pipeline-aware ML Fairness: A Research Agenda for Developing Practical Guidelines and Tools Maximilian Schambach Rakshit Naidu Rayid Ghani Kit T. Rodolfa Daniel E. Ho Hoda Heidari FaML 35 14 0 29 Sep 2023
The Representation Jensen-Shannon Divergence J. Hoyos-Osorio Santiago Posso-Murillo L. S. Giraldo 40 6 0 25 May 2023
Covariate balancing using the integral probability metric for causal inference Insung Kong Yuha Park Joonhyuk Jung Kwonsang Lee Yongdai Kim 54 8 0 23 May 2023
MMD-B-Fair: Learning Fair Representations with Statistical Testing Namrata Deka Danica J. Sutherland 20 6 0 15 Nov 2022
FARE: Provably Fair Representation Learning with Practical Certificates Nikola Jovanović Mislav Balunović Dimitar I. Dimitrov Martin Vechev 51 11 0 13 Oct 2022
SF-PATE: Scalable, Fair, and Private Aggregation of Teacher Ensembles Cuong Tran Keyu Zhu Ferdinando Fioretto Pascal Van Hentenryck 24 11 0 11 Apr 2022
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