Fair Forests: Regularized Tree Induction to Minimize Model Bias

21 December 2017

Papers citing "Fair Forests: Regularized Tree Induction to Minimize Model Bias"

8 / 8 papers shown

Title
Decoupled classifiers for fair and efficient machine learning Cynthia Dwork Nicole Immorlica Adam Tauman Kalai Max D. M. Leiserson FaML 63 43 0 20 Jul 2017
Penalizing Unfairness in Binary Classification Yahav Bechavod Katrina Ligett FaML 48 69 0 30 Jun 2017
A Convex Framework for Fair Regression R. Berk Hoda Heidari S. Jabbari Matthew Joseph Michael Kearns Jamie Morgenstern Seth Neel Aaron Roth FaML 107 342 0 07 Jun 2017
Equality of Opportunity in Supervised Learning Moritz Hardt Eric Price Nathan Srebro FaML 213 4,305 0 07 Oct 2016
XGBoost: A Scalable Tree Boosting System Tianqi Chen Carlos Guestrin 735 38,858 0 09 Mar 2016
Censoring Representations with an Adversary Harrison Edwards Amos Storkey AAML FaML 57 505 0 18 Nov 2015
The Variational Fair Autoencoder Christos Louizos Kevin Swersky Yujia Li Max Welling R. Zemel DRL 219 633 0 03 Nov 2015
Density Estimation in Infinite Dimensional Exponential Families Bharath K. Sriperumbudur Kenji Fukumizu Arthur Gretton Aapo Hyvarinen Revant Kumar 63 125 0 12 Dec 2013