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Boolean Decision Rules via Column Generation

Boolean Decision Rules via Column Generation

24 May 2018
S. Dash
Oktay Gunluk
Dennis L. Wei
ArXivPDFHTML

Papers citing "Boolean Decision Rules via Column Generation"

14 / 14 papers shown
Title
Explaining the Behavior of Black-Box Prediction Algorithms with Causal Learning
Explaining the Behavior of Black-Box Prediction Algorithms with Causal Learning
Numair Sani
Daniel Malinsky
I. Shpitser
CML
56
15
0
10 Jan 2025
CURLS: Causal Rule Learning for Subgroups with Significant Treatment
  Effect
CURLS: Causal Rule Learning for Subgroups with Significant Treatment Effect
Jiehui Zhou
Linxiao Yang
Xingyu Liu
Xinyue Gu
L. Sun
Wei Chen
CML
26
0
0
01 Jul 2024
Probabilistic Truly Unordered Rule Sets
Probabilistic Truly Unordered Rule Sets
Lincen Yang
M. Leeuwen
21
0
0
18 Jan 2024
Explaining with Greater Support: Weighted Column Sampling Optimization
  for q-Consistent Summary-Explanations
Explaining with Greater Support: Weighted Column Sampling Optimization for q-Consistent Summary-Explanations
Chen Peng
Zhengqi Dai
Guangping Xia
Yajie Niu
Yihui Lei
21
0
0
09 Feb 2023
Personalized Interpretable Classification
Personalized Interpretable Classification
Zengyou He
Yifan Tang
Yifan Tang
Lianyu Hu
Yan Liu
Yan Liu
15
0
0
06 Feb 2023
Efficient Decompositional Rule Extraction for Deep Neural Networks
Efficient Decompositional Rule Extraction for Deep Neural Networks
Mateo Espinosa Zarlenga
Z. Shams
M. Jamnik
14
16
0
24 Nov 2021
The Who in XAI: How AI Background Shapes Perceptions of AI Explanations
The Who in XAI: How AI Background Shapes Perceptions of AI Explanations
Upol Ehsan
Samir Passi
Q. V. Liao
Larry Chan
I-Hsiang Lee
Michael J. Muller
Mark O. Riedl
27
83
0
28 Jul 2021
MEGEX: Data-Free Model Extraction Attack against Gradient-Based
  Explainable AI
MEGEX: Data-Free Model Extraction Attack against Gradient-Based Explainable AI
T. Miura
Satoshi Hasegawa
Toshiki Shibahara
SILM
MIACV
11
37
0
19 Jul 2021
Zero-shot learning approach to adaptive Cybersecurity using Explainable
  AI
Zero-shot learning approach to adaptive Cybersecurity using Explainable AI
Dattaraj J. Rao
Shraddha Mane
AAML
16
11
0
21 Jun 2021
Rule Generation for Classification: Scalability, Interpretability, and Fairness
Rule Generation for Classification: Scalability, Interpretability, and Fairness
Tabea E. Rober
Adia C. Lumadjeng
M. Akyuz
cS. .Ilker Birbil
14
2
0
21 Apr 2021
Interpretable Machine Learning: Fundamental Principles and 10 Grand
  Challenges
Interpretable Machine Learning: Fundamental Principles and 10 Grand Challenges
Cynthia Rudin
Chaofan Chen
Zhi Chen
Haiyang Huang
Lesia Semenova
Chudi Zhong
FaML
AI4CE
LRM
29
646
0
20 Mar 2021
Explaining Network Intrusion Detection System Using Explainable AI
  Framework
Explaining Network Intrusion Detection System Using Explainable AI Framework
Shraddha Mane
Dattaraj J. Rao
AAML
16
66
0
12 Mar 2021
Questioning the AI: Informing Design Practices for Explainable AI User
  Experiences
Questioning the AI: Informing Design Practices for Explainable AI User Experiences
Q. V. Liao
D. Gruen
Sarah Miller
17
699
0
08 Jan 2020
Learning Certifiably Optimal Rule Lists for Categorical Data
Learning Certifiably Optimal Rule Lists for Categorical Data
E. Angelino
Nicholas Larus-Stone
Daniel Alabi
Margo Seltzer
Cynthia Rudin
46
196
0
06 Apr 2017
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