Samuel Jenkins

According to our database, Samuel Jenkins authored at least 3 papers between 2019 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2021

Interpreting Interpretability: Understanding Data Scientists' Use of Interpretability Tools for Machine Learning.

Harmanpreet Kaur, Harsha Nori, Samuel Jenkins, Rich Caruana, Hanna M. Wallach, Jennifer Wortman Vaughan

Proceedings of the 3rd Workshop on Data Science with Human in the Loop, 2021

2020

Intelligible and Explainable Machine Learning: Best Practices and Practical Challenges.

Rich Caruana, Scott M. Lundberg, Marco Túlio Ribeiro, Harsha Nori, Samuel Jenkins

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

2019

InterpretML: A Unified Framework for Machine Learning Interpretability.

Harsha Nori, Samuel Jenkins, Paul Koch, Rich Caruana

CoRR, 2019