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Brian Williamson

2 accepted papers

2020

Efficient nonparametric statistical inference on population feature importance using Shapley values

ICML 2020poster

The true population-level importance of a variable in a prediction task provides useful knowledge about the underlying data-generating mechanism and can help in deciding which measurements to collect in subsequent experiments. Valid statistical inference on this importance is a key component in unde…

Cited by 105SourcePDFScholar
2018

Nonparametric variable importance using an augmented neural network with multi-task learning

ICML 2018oral

In predictive modeling applications, it is often of interest to determine the relative contribution of subsets of features in explaining the variability of an outcome. It is useful to consider this variable importance as a function of the unknown, underlying data-generating mechanism rather than the…