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

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

25 March 2019
S. Aghaei
Javad Azizi
P. Vayanos
    FaML
ArXivPDFHTML

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
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
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
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
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
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
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
Rolling Lookahead Learning for Optimal Classification Trees
Z. B. Organ
Enis Kayış
Taghi Khaniyev
21
0
0
21 Apr 2023
Superhuman Fairness
Superhuman Fairness
Omid Memarrast
Linh Vu
Brian Ziebart
FaML
22
1
0
31 Jan 2023
Discrimination and Class Imbalance Aware Online Naive Bayes
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
Optimal Decision Trees for Nonlinear Metrics
Emir Demirović
Peter Stuckey
27
21
0
15 Sep 2020
Fairness in Forecasting and Learning Linear Dynamical Systems
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
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
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
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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