151 citations · 692 across the 40 of their papers we have counts for
Showing 2021Show all
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stat.ML2021★ 106 cited
S-LIME: Stabilized-LIME for Model Explanation
Zhengze Zhou, Giles Hooker, Fei Wang
An increasing number of machine learning models have been deployed in domains with high stakes such as finance and healthcare. Despite their superior performances, many models are…
stat.ME2021
Generalised Boosted Forests
Indrayudh Ghosal, Giles Hooker
This paper extends recent work on boosting random forests to model non-Gaussian responses. Given an exponential family our goal is to obtain an est…
stat.OT2021
Bridging Breiman's Brook: From Algorithmic Modeling to Statistical Learning
Lucas Mentch, Giles Hooker
In 2001, Leo Breiman wrote of a divide between "data modeling" and "algorithmic modeling" cultures. Twenty years later this division feels far more ephemeral, both in terms of assi…