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1903.10598
Cited By
Learning Optimal and Fair Decision Trees for Non-Discriminative Decision-Making
25 March 2019
S. Aghaei
Javad Azizi
P. Vayanos
FaML
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Papers citing
"Learning Optimal and Fair Decision Trees for Non-Discriminative Decision-Making"
28 / 28 papers shown
Title
Local Statistical Parity for the Estimation of Fair Decision Trees
Andrea Quintanilla
Johan Van Horebeek
37
0
0
25 Apr 2025
FairUDT: Fairness-aware Uplift Decision Trees
Anam Zahid
Abdur Rehman Ali
Shaina Raza
Rai Shahnawaz
F. Kamiran
Asim Karim
85
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
66
0
0
10 Jan 2025
Learning Optimal Classification Trees Robust to Distribution Shifts
Nathan Justin
S. Aghaei
Andrés Gómez
P. Vayanos
OOD
47
0
0
26 Oct 2023
Interpretable Differencing of Machine Learning Models
Swagatam Haldar
Diptikalyan Saha
Dennis L. Wei
Rahul Nair
Elizabeth M. Daly
16
1
0
10 Jun 2023
Generalized Disparate Impact for Configurable Fairness Solutions in ML
Luca Giuliani
Eleonora Misino
M. Lombardi
30
3
0
29 May 2023
Rolling Lookahead Learning for Optimal Classification Trees
Z. B. Organ
Enis Kayış
Taghi Khaniyev
21
0
0
21 Apr 2023
Superhuman Fairness
Omid Memarrast
Linh Vu
Brian Ziebart
FaML
22
1
0
31 Jan 2023
Discrimination and Class Imbalance Aware Online Naive Bayes
Maryam Badar
M. Fisichella
Vasileios Iosifidis
Wolfgang Nejdl
FaML
24
1
0
09 Nov 2022
Scalable Spectral Clustering with Group Fairness Constraints
Ji Wang
Ding Lu
Ian Davidson
Z. Bai
61
16
0
28 Oct 2022
Margin Optimal Classification Trees
Federico DÓnofrio
G. Grani
Marta Monaci
L. Palagi
35
10
0
19 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
30
2
0
13 Oct 2022
Explainable Global Fairness Verification of Tree-Based Classifiers
Stefano Calzavara
Lorenzo Cazzaro
Claudio Lucchese
Federico Marcuzzi
45
2
0
27 Sep 2022
Fairness in Forecasting of Observations of Linear Dynamical Systems
Quan Zhou
Jakub Mareˇcek
Robert Shorten
AI4TS
47
5
0
12 Sep 2022
Optimal Decision Diagrams for Classification
Alexandre M. Florio
P. Martins
Maximilian Schiffer
Thiago Serra
Thibaut Vidal
33
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
35
37
0
06 Feb 2022
SaDe: Learning Models that Provably Satisfy Domain Constraints
Kshitij Goyal
Sebastijan Dumancic
Hendrik Blockeel
ALM
33
5
0
01 Dec 2021
Modeling Techniques for Machine Learning Fairness: A Survey
Mingyang Wan
Daochen Zha
Ninghao Liu
Na Zou
SyDa
FaML
37
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
124
357
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
51
33
0
21 Sep 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
104
198
0
12 Jul 2021
A Scalable MIP-based Method for Learning Optimal Multivariate Decision Trees
Haoran Zhu
Pavankumar Murali
Dzung Phan
Lam M. Nguyen
Jayant Kalagnanam
20
37
0
06 Nov 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
39
49
0
25 Sep 2020
Optimal Decision Trees for Nonlinear Metrics
Emir Demirović
Peter Stuckey
27
21
0
15 Sep 2020
Fairness in Forecasting and Learning Linear Dynamical Systems
Quan-Gen Zhou
Jakub Mareˇcek
Robert Shorten
AI4TS
37
7
0
12 Jun 2020
Robust Optimization for Fairness with Noisy Protected Groups
S. Wang
Wenshuo Guo
Harikrishna Narasimhan
Andrew Cotter
Maya R. Gupta
Michael I. Jordan
NoLa
32
119
0
21 Feb 2020
Learning Optimal Classification Trees: Strong Max-Flow Formulations
S. Aghaei
A. Gómez
P. Vayanos
AI4CE
24
26
0
21 Feb 2020
A Survey on Bias and Fairness in Machine Learning
Ninareh Mehrabi
Fred Morstatter
N. Saxena
Kristina Lerman
Aram Galstyan
SyDa
FaML
373
4,237
0
23 Aug 2019
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