13 citations · 21 across the 4 of their papers we have counts for
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stat.ML2019★ 13 cited
A study of data and label shift in the LIME framework
Amir Hossein Akhavan Rahnama, Henrik Boström
LIME is a popular approach for explaining a black-box prediction through an interpretable model that is trained on instances in the vicinity of the predicted instance. To generate…
cs.LG2019
Block-distributed Gradient Boosted Trees
Theodore Vasiloudis, Hyunsu Cho, Henrik Boström
The Gradient Boosted Tree (GBT) algorithm is one of the most popular machine learning algorithms used in production, for tasks that include Click-Through Rate (CTR) prediction and…