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A Scalable Two Stage Approach to Computing Optimal Decision Sets

A Scalable Two Stage Approach to Computing Optimal Decision Sets

3 February 2021
Alexey Ignatiev
Edward Lam
Peter J. Stuckey
Sasha Rubin
ArXivPDFHTML

Papers citing "A Scalable Two Stage Approach to Computing Optimal Decision Sets"

7 / 7 papers shown
Title
DeepSaDe: Learning Neural Networks that Guarantee Domain Constraint
  Satisfaction
DeepSaDe: Learning Neural Networks that Guarantee Domain Constraint Satisfaction
Kshitij Goyal
Sebastijan Dumancic
Hendrik Blockeel
29
2
0
02 Mar 2023
Personalized Interpretable Classification
Personalized Interpretable Classification
Zengyou He
Yifan Tang
Yifan Tang
Lianyu Hu
Yan Liu
Yan Liu
25
0
0
06 Feb 2023
Logic-Based Explainability in Machine Learning
Logic-Based Explainability in Machine Learning
Sasha Rubin
LRM
XAI
47
39
0
24 Oct 2022
Eliminating The Impossible, Whatever Remains Must Be True
Eliminating The Impossible, Whatever Remains Must Be True
Jinqiang Yu
Alexey Ignatiev
Peter J. Stuckey
Nina Narodytska
Sasha Rubin
19
23
0
20 Jun 2022
Rule Extraction from Binary Neural Networks with Convolutional Rules for
  Model Validation
Rule Extraction from Binary Neural Networks with Convolutional Rules for Model Validation
Sophie Burkhardt
Jannis Brugger
Nicolas Wagner
Zahra Ahmadi
Kristian Kersting
Stefan Kramer
NAI
FAtt
25
8
0
15 Dec 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
60
195
0
06 Apr 2017
Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks
Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks
Guy Katz
Clark W. Barrett
D. Dill
Kyle D. Julian
Mykel Kochenderfer
AAML
240
1,837
0
03 Feb 2017
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