1.2k citations · 1.2k across the 13 of their papers we have counts for
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stat.ME2018★ 2 cited
Visually Communicating and Teaching Intuition for Influence Functions
Aaron Fisher, Edward H. Kennedy
Estimators based on influence functions (IFs) have been shown to be effective in many settings, especially when combined with machine learning techniques. By focusing on estimating…
stat.ME2018★ 1.2k cited
All Models are Wrong, but Many are Useful: Learning a Variable's Importance by Studying an Entire Class of Prediction Models Simultaneously
Aaron Fisher, Cynthia Rudin, Francesca Dominici
Variable importance (VI) tools describe how much covariates contribute to a prediction model's accuracy. However, important variables for one well-performing model (for example, a…