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"

50 / 89 papers shown

Title
Improving Recommendation Fairness without Sensitive Attributes Using Multi-Persona LLMs Haoran Xin Ying Sun Chao Wang Yanke Yu Weijia Zhang Hui Xiong FaML 37 0 0 26 May 2025
Local Statistical Parity for the Estimation of Fair Decision Trees Andrea Quintanilla Johan Van Horebeek 65 0 0 25 Apr 2025
Software Engineering Principles for Fairer Systems: Experiments with GroupCART Kewen Peng Hao Zhuo Yicheng Yang Tim Menzies FaML 116 0 0 17 Apr 2025
Provably optimal decision trees with arbitrary splitting rules in polynomial time Xi He Max A. Little 41 0 0 03 Mar 2025
FairUDT: Fairness-aware Uplift Decision Trees Anam Zahid Abdur Rehman Ali Shaina Raza Rai Shahnawaz F. Kamiran Asim Karim 126 0 0 03 Feb 2025
Counterfactually Fair Reinforcement Learning via Sequential Data Preprocessing Jitao Wang C. Shi John D. Piette Joshua R. Loftus Donglin Zeng Zhenke Wu OffRL 217 0 0 10 Jan 2025
Fair and Accurate Regression: Strong Formulations and Algorithms Anna Deza Andrés Gómez Alper Atamturk FaML 155 0 0 22 Dec 2024
Uncertainty-Aware Fairness-Adaptive Classification Trees Anna Gottard Vanessa Verrina Sabrina Giordano 28 0 0 08 Oct 2024
AdapFair: Ensuring Continuous Fairness for Machine Learning Operations Yinghui Huang Zihao Tang Xiangyu Chang FaML 53 0 0 23 Sep 2024
Fairness-Aware Streaming Feature Selection with Causal Graphs Leizhen Zhang Lusi Li Di Wu Sheng Chen Yi He 126 4 0 17 Aug 2024
Fair Generalized Linear Mixed Models J. P. Burgard Joao Vitor Pamplona FaML 64 0 0 15 May 2024
Fair Mixed Effects Support Vector Machine Joao Vitor Pamplona J. P. Burgard FaML 65 1 0 10 May 2024
Counterfactual Fairness through Transforming Data Orthogonal to Bias Shuyi Chen Shixiang Zhu FaML 176 2 0 26 Mar 2024
Fair Multivariate Adaptive Regression Splines for Ensuring Equity and Transparency Parian Haghighat Denisa Gándara Lulu Kang Hadis Anahideh 57 0 0 23 Feb 2024
f-FERM: A Scalable Framework for Robust Fair Empirical Risk Minimization Sina Baharlouei Shivam Patel Meisam Razaviyayn 121 4 0 06 Dec 2023
Adversarial Reweighting Guided by Wasserstein Distance for Bias Mitigation Xuan Zhao Simone Fabbrizzi Paula Reyero Lobo Siamak Ghodsi Klaus Broelemann Steffen Staab Gjergji Kasneci 74 1 0 21 Nov 2023
Causal Fairness-Guided Dataset Reweighting using Neural Networks Xuan Zhao Klaus Broelemann Salvatore Ruggieri Gjergji Kasneci 63 1 0 17 Nov 2023
Unmasking Bias in AI: A Systematic Review of Bias Detection and Mitigation Strategies in Electronic Health Record-based Models Feng Chen Liqin Wang Julie Hong Jiaqi Jiang Li Zhou 102 18 0 30 Oct 2023
Learning Optimal Classification Trees Robust to Distribution Shifts Nathan Justin S. Aghaei Andrés Gómez P. Vayanos OOD 200 0 0 26 Oct 2023
Enhancing Group Fairness in Online Settings Using Oblique Decision Forests Somnath Basu Roy Chowdhury Nicholas Monath Ahmad Beirami Rahul Kidambi Kumar Avinava Dubey Amr Ahmed Snigdha Chaturvedi 66 2 0 17 Oct 2023
A Critical Survey on Fairness Benefits of Explainable AI Luca Deck Jakob Schoeffer Maria De-Arteaga Niklas Kühl 115 13 0 15 Oct 2023
Harnessing the Power of Choices in Decision Tree Learning Guy Blanc Jane Lange Chirag Pabbaraju Colin D. Sullivan Li-Yang Tan Mo Tiwari 34 1 0 02 Oct 2023
Boosting Fair Classifier Generalization through Adaptive Priority Reweighing Zhihao Hu Yiran Xu Mengnan Du Jindong Gu Xinmei Tian Fengxiang He 87 1 0 15 Sep 2023
ODTlearn: A Package for Learning Optimal Decision Trees for Prediction and Prescription Patrick Vossler S. Aghaei Nathan Justin Nathanael Jo Andrés Gómez P. Vayanos 46 2 0 28 Jul 2023
Towards A Scalable Solution for Improving Multi-Group Fairness in Compositional Classification James Atwood Tina Tian Ben Packer Meghana Deodhar Jilin Chen Alex Beutel Flavien Prost Ahmad Beirami FaML 46 1 0 11 Jul 2023
Towards Assumption-free Bias Mitigation Chia-Yuan Chang Yu-Neng Chuang Kwei-Herng Lai Xiaotian Han Helen Zhou Na Zou 68 4 0 09 Jul 2023
When Fair Classification Meets Noisy Protected Attributes Avijit Ghosh Pablo Kvitca Chris L. Wilson FaML 62 9 0 06 Jul 2023
Interpretable Differencing of Machine Learning Models Swagatam Haldar Diptikalyan Saha Dennis L. Wei Rahul Nair Elizabeth M. Daly 61 1 0 10 Jun 2023
Generalized Disparate Impact for Configurable Fairness Solutions in ML Luca Giuliani Eleonora Misino M. Lombardi 58 4 0 29 May 2023
Improving Stability in Decision Tree Models Dimitris Bertsimas V. Digalakis 51 6 0 26 May 2023
Rolling Lookahead Learning for Optimal Classification Trees Z. B. Organ Enis Kayış Taghi Khaniyev 43 0 0 21 Apr 2023
Scalable Optimal Multiway-Split Decision Trees with Constraints Shivaram Subramanian Wei-Ju Sun 34 3 0 14 Feb 2023
Improving Recommendation Fairness via Data Augmentation Lei Chen Le Wu Kun Zhang Richang Hong Defu Lian Qing Cui Jun Zhou Meng Wang FedML 56 46 0 13 Feb 2023
Superhuman Fairness Omid Memarrast Linh Vu Brian Ziebart FaML 46 2 0 31 Jan 2023
Optimal Decision Tree Policies for Markov Decision Processes D. Vos S. Verwer OffRL 64 10 0 30 Jan 2023
Discrimination and Class Imbalance Aware Online Naive Bayes Maryam Badar M. Fisichella Vasileios Iosifidis Wolfgang Nejdl FaML 30 1 0 09 Nov 2022
Scalable Spectral Clustering with Group Fairness Constraints Ji Wang Ding Lu Ian Davidson Z. Bai 101 18 0 28 Oct 2022
Margin Optimal Classification Trees Federico DÓnofrio G. Grani Marta Monaci L. Palagi 77 10 0 19 Oct 2022
FARE: Provably Fair Representation Learning with Practical Certificates Nikola Jovanović Mislav Balunović Dimitar I. Dimitrov Martin Vechev 210 13 0 13 Oct 2022
Fast Optimization of Weighted Sparse Decision Trees for use in Optimal Treatment Regimes and Optimal Policy Design Ali Behrouz Mathias Lécuyer Cynthia Rudin Margo Seltzer OffRL 67 2 0 13 Oct 2022
Explainable Global Fairness Verification of Tree-Based Classifiers Stefano Calzavara Lorenzo Cazzaro Claudio Lucchese Federico Marcuzzi 77 3 0 27 Sep 2022
Fairness in Forecasting of Observations of Linear Dynamical Systems Quan Zhou Jakub Mareˇcek Robert Shorten AI4TS 97 5 0 12 Sep 2022
Constrained Prescriptive Trees via Column Generation Shivaram Subramanian Wei-Ju Sun Youssef Drissi M. Ettl 79 9 0 20 Jul 2022
Bias Mitigation for Machine Learning Classifiers: A Comprehensive Survey Max Hort Zhenpeng Chen Jie M. Zhang Mark Harman Federica Sarro FaML AI4CE 105 177 0 14 Jul 2022
Quant-BnB: A Scalable Branch-and-Bound Method for Optimal Decision Trees with Continuous Features Rahul Mazumder X. Meng Haoyue Wang 62 15 0 23 Jun 2022
Input-agnostic Certified Group Fairness via Gaussian Parameter Smoothing Jiayin Jin Zeru Zhang Yang Zhou Lingfei Wu 71 13 0 22 Jun 2022
Beyond Adult and COMPAS: Fairness in Multi-Class Prediction Wael Alghamdi Hsiang Hsu Haewon Jeong Hao Wang P. Michalák S. Asoodeh Flavio du Pin Calmon FaML 75 16 0 15 Jun 2022
Optimal Decision Diagrams for Classification Alexandre M. Florio P. Martins Maximilian Schiffer Thiago Serra Thibaut Vidal 61 13 0 28 May 2022
Aligning Eyes between Humans and Deep Neural Network through Interactive Attention Alignment Yuyang Gao Tong Sun Liang Zhao Sungsoo Ray Hong HAI 86 38 0 06 Feb 2022
Learning Optimal Fair Classification Trees: Trade-offs Between Interpretability, Fairness, and Accuracy Nathanael Jo S. Aghaei A. Gómez P. Vayanos FaML 92 13 0 24 Jan 2022