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2007.14528
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Surrogate Locally-Interpretable Models with Supervised Machine Learning Algorithms
28 July 2020
Linwei Hu
Jie Chen
V. Nair
Agus Sudjianto
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Papers citing
"Surrogate Locally-Interpretable Models with Supervised Machine Learning Algorithms"
9 / 9 papers shown
Title
Effector: A Python package for regional explanations
Vasilis Gkolemis
Christos Diou
Eirini Ntoutsi
Theodore Dalamagas
B. Bischl
J. Herbinger
Giuseppe Casalicchio
CML
72
1
0
03 Apr 2024
Leveraging Model-based Trees as Interpretable Surrogate Models for Model Distillation
J. Herbinger
Susanne Dandl
F. K. Ewald
Sofia Loibl
Giuseppe Casalicchio
TPM
46
3
0
04 Oct 2023
Monotone Tree-Based GAMI Models by Adapting XGBoost
Linwei Hu
Soroush Aramideh
Jie Chen
V. Nair
57
1
0
05 Sep 2023
Interpretable Machine Learning based on Functional ANOVA Framework: Algorithms and Comparisons
Linwei Hu
V. Nair
Agus Sudjianto
Aijun Zhang
Jie Chen
68
8
0
25 May 2023
Using Model-Based Trees with Boosting to Fit Low-Order Functional ANOVA Models
Linwei Hu
Jie Chen
V. Nair
77
3
0
14 Jul 2022
Shapley Computations Using Surrogate Model-Based Trees
Zhipu Zhou
Jie Chen
Linwei Hu
44
0
0
11 Jul 2022
REPID: Regional Effect Plots with implicit Interaction Detection
J. Herbinger
Bernd Bischl
Giuseppe Casalicchio
FAtt
58
15
0
15 Feb 2022
The Self-Simplifying Machine: Exploiting the Structure of Piecewise Linear Neural Networks to Create Interpretable Models
William Knauth
19
1
0
02 Dec 2020
Supervised Machine Learning Techniques: An Overview with Applications to Banking
Linwei Hu
Jie Chen
J. Vaughan
Hanyu Yang
Kelly Wang
Agus Sudjianto
V. Nair
44
23
0
28 Jul 2020
1