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Samuel Jenkins
Observed name:
Jenkins, Samuel
Institution:
École Polytechnique Fédérale de Lausanne
Observed institutions:
Microsoft (United States),
École Polytechnique Fédérale de Lausanne
OpenAlex ID:
A5055907902
Interpreting Interpretability: Understanding Data Scientists' Use of Interpretability Tools for Machine Learning
2020
·
Harmanpreet Kaur
, Harsha Nori
, et al.
·
CHI Conference on Human Factors in Computing Systems
·
565
InterpretML: A Unified Framework for Machine Learning Interpretability
2019
·
Nori, Harsha
, Jenkins, Samuel
, et al.
·
arXiv (Cornell University)
·
322
PDF
Intelligible and Explainable Machine Learning
2020
·
Rich Caruana
, Scott Lundberg
, et al.
·
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)
·
45
JSONSchemaBench: A Rigorous Benchmark of Structured Outputs for Language Models
2025
·
Geng, Saibo
, Cooper, Hudson
, et al.
·
arXiv (Cornell University)
·
3
PDF
interpret: Fit Interpretable Machine Learning Models
2019
·
Samuel Jenkins
, Harsha Nori
, et al.
·
2
Fit Interpretable Machine Learning Models [R package interpret version 0.1.26]
2020
·
Samuel Jenkins
, Harsha Nori
, et al.
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Works count:
6
Citation count:
937
H-index:
3
I10-index:
3
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