most citedSurrogate Locally-Interpretable Models with Supervised Machine Learning Algorithms

5 citations · 5 across the 2 of their papers we have counts for

collaborators

3 papers

q-fin.GN2020

Supervised Machine Learning Techniques: An Overview with Applications to Banking

Linwei Hu, Jie Chen, Joel Vaughan +4

This article provides an overview of Supervised Machine Learning (SML) with a focus on applications to banking. The SML techniques covered include Bagging (Random Forest or RF), Bo…

stat.ML2020★ 5 cited

Surrogate Locally-Interpretable Models with Supervised Machine Learning Algorithms

Linwei Hu, Jie Chen, Vijayan N. Nair +1

Supervised Machine Learning (SML) algorithms, such as Gradient Boosting, Random Forest, and Neural Networks, have become popular in recent years due to their superior predictive pe…

stat.ML2018

Locally Interpretable Models and Effects based on Supervised Partitioning (LIME-SUP)

Linwei Hu, Jie Chen, Vijayan N. Nair +1

Supervised Machine Learning (SML) algorithms such as Gradient Boosting, Random Forest, and Neural Networks have become popular in recent years due to their increased predictive per…