74 citations · 120 across the 18 of their papers we have counts for
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stat.ME2020★ 74 cited
A general framework for inference on algorithm-agnostic variable importance
Brian D. Williamson, Peter B. Gilbert, Noah R. Simon +1
In many applications, it is of interest to assess the relative contribution of features (or subsets of features) toward the goal of predicting a response -- in other words, to gaug…
stat.ME2020
Universal sieve-based strategies for efficient estimation using machine learning tools
Hongxiang Qiu, Alex Luedtke, Marco Carone
Suppose that we wish to estimate a finite-dimensional summary of one or more function-valued features of an underlying data-generating mechanism under a nonparametric model. One ap…