Learning Optimal and Fair Decision Trees for Non-Discriminative Decision-Making

25 March 2019

Papers citing "Learning Optimal and Fair Decision Trees for Non-Discriminative Decision-Making"

39 / 89 papers shown

Title
EiFFFeL: Enforcing Fairness in Forests by Flipping Leaves S. Abebe Claudio Lucchese S. Orlando 31 8 0 29 Dec 2021
SaDe: Learning Models that Provably Satisfy Domain Constraints Kshitij Goyal Sebastijan Dumancic Hendrik Blockeel ALM 76 5 0 01 Dec 2021
Interpretable and Fair Boolean Rule Sets via Column Generation Connor Lawless S. Dash Oktay Gunluk Dennis L. Wei FaML 101 13 0 16 Nov 2021
Modeling Techniques for Machine Learning Fairness: A Survey Mingyang Wan Daochen Zha Ninghao Liu Na Zou SyDa FaML 79 36 0 04 Nov 2021
Trustworthy AI: From Principles to Practices Yue Liu Peng Qi Bo Liu Shuai Di Jingen Liu Jiquan Pei Jinfeng Yi Bowen Zhou 213 382 0 04 Oct 2021
Fairness without Imputation: A Decision Tree Approach for Fair Prediction with Missing Values Haewon Jeong Hao Wang Flavio du Pin Calmon FaML 93 34 0 21 Sep 2021
Learning Optimal Prescriptive Trees from Observational Data Nathanael Jo S. Aghaei Andrés Gómez P. Vayanos 71 21 0 31 Aug 2021
Fairness-aware Summarization for Justified Decision-Making Moniba Keymanesh T. Berger-Wolf Micha Elsner Srinivasan Parthasarathy 41 5 0 13 Jul 2021
Trustworthy AI: A Computational Perspective Haochen Liu Yiqi Wang Wenqi Fan Xiaorui Liu Yaxin Li Shaili Jain Yunhao Liu Anil K. Jain Jiliang Tang FaML 192 212 0 12 Jul 2021
Fair Decision Rules for Binary Classification Connor Lawless Oktay Gunluk FaML 42 6 0 03 Jul 2021
An Empirical Comparison of Bias Reduction Methods on Real-World Problems in High-Stakes Policy Settings Hemank Lamba Kit T. Rodolfa Rayid Ghani OffRL 58 17 0 13 May 2021
CrossWalk: Fairness-enhanced Node Representation Learning Ahmad Khajehnejad M. Khajehnejad Mahmoudreza Babaei Krishna P. Gummadi Adrian Weller Baharan Mirzasoleiman 47 46 0 06 May 2021
Strong Optimal Classification Trees S. Aghaei Andrés Gómez P. Vayanos 70 42 0 29 Mar 2021
A Stochastic Optimization Framework for Fair Risk Minimization Andrew Lowy Sina Baharlouei Rakesh Pavan Meisam Razaviyayn Ahmad Beirami FaML 69 21 0 24 Feb 2021
Fair Training of Decision Tree Classifiers Francesco Ranzato Caterina Urban Marco Zanella FaML 47 12 0 04 Jan 2021
Unbiased Subdata Selection for Fair Classification: A Unified Framework and Scalable Algorithms Qing Ye Weijun Xie FaML 65 13 0 22 Dec 2020
Fairness-guided SMT-based Rectification of Decision Trees and Random Forests Jiang Zhang Ivan Beschastnikh Sergey Mechtaev Abhik Roychoudhury 25 8 0 22 Nov 2020
A Scalable MIP-based Method for Learning Optimal Multivariate Decision Trees Haoran Zhu Pavankumar Murali Dzung Phan Lam M. Nguyen Jayant Kalagnanam 171 37 0 06 Nov 2020
Online Decision Trees with Fairness Wenbin Zhang Liang Zhao 54 17 0 15 Oct 2020
Learning Binary Decision Trees by Argmin Differentiation Valentina Zantedeschi Matt J. Kusner Vlad Niculae 62 13 0 09 Oct 2020
Fairness in Machine Learning: A Survey Simon Caton C. Haas FaML 108 653 0 04 Oct 2020
Fairness in Semi-supervised Learning: Unlabeled Data Help to Reduce Discrimination Tao Zhang Tianqing Zhu Jing Li Mengde Han Wanlei Zhou Philip S. Yu FaML 84 51 0 25 Sep 2020
Optimal Decision Trees for Nonlinear Metrics Emir Demirović Peter Stuckey 134 21 0 15 Sep 2020
MurTree: Optimal Classification Trees via Dynamic Programming and Search Emir Demirović Anna Lukina E. Hébrard Jeffrey Chan James Bailey C. Leckie K. Ramamohanarao Peter Stuckey 135 64 0 24 Jul 2020
Fair Influence Maximization: A Welfare Optimization Approach Aida Rahmattalabi S. Jabbari Himabindu Lakkaraju P. Vayanos Max Izenberg Ryan Brown Eric Rice Milind Tambe 57 51 0 14 Jun 2020
Fairness in Forecasting and Learning Linear Dynamical Systems Quan-Gen Zhou Jakub Mareˇcek Robert Shorten AI4TS 86 7 0 12 Jun 2020
An Analysis of Regularized Approaches for Constrained Machine Learning M. Lombardi Federico Baldo Andrea Borghesi M. Milano 23 2 0 20 May 2020
Adversarial Graph Embeddings for Fair Influence Maximization over Social Networks M. Khajehnejad Ahmad Asgharian Rezaei Mahmoudreza Babaei Jessica Hoffmann Mahdi Jalili Adrian Weller FaML 59 51 0 08 May 2020
Decision Trees for Decision-Making under the Predict-then-Optimize Framework Adam N. Elmachtoub Jason Cheuk Nam Liang Ryan McNellis 77 118 0 29 Feb 2020
Teaching the Old Dog New Tricks: Supervised Learning with Constraints F. Detassis M. Lombardi M. Milano 70 27 0 25 Feb 2020
Robust Optimization for Fairness with Noisy Protected Groups S. Wang Wenshuo Guo Harikrishna Narasimhan Andrew Cotter Maya R. Gupta Michael I. Jordan NoLa 76 122 0 21 Feb 2020
Learning Optimal Classification Trees: Strong Max-Flow Formulations S. Aghaei A. Gómez P. Vayanos AI4CE 142 26 0 21 Feb 2020
Lagrangian Duality for Constrained Deep Learning Ferdinando Fioretto Pascal Van Hentenryck Terrence W.K. Mak Cuong Tran Federico Baldo M. Lombardi PINN 61 84 0 26 Jan 2020
Interpreting Deep Learning-Based Networking Systems Zili Meng Minhu Wang Jia-Ju Bai Mingwei Xu Hongzi Mao Hongxin Hu AI4CE 38 3 0 09 Oct 2019
Learning Fair Rule Lists Ulrich Aïvodji Julien Ferry Sébastien Gambs Marie-José Huguet Mohamed Siala FaML 61 11 0 09 Sep 2019
Fairness-Aware Process Mining Mahnaz Sadat Qafari Wil M.P. van der Aalst FaML 29 15 0 28 Aug 2019
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 603 4,417 0 23 Aug 2019
FAHT: An Adaptive Fairness-aware Decision Tree Classifier Wenbin Zhang Eirini Ntoutsi FaML 59 111 0 16 Jul 2019
Rank-one Convexification for Sparse Regression Alper Atamtürk A. Gómez 220 50 0 29 Jan 2019