Aaron Fisher

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 · arXiv (Cornell University) · 2018 · 1.2K citations · Full text

Computing, Biostatistics, Data Science +14

All Models are Wrong, but <i>Many</i> are Useful: Learning a Variable's Importance by Studying an Entire Class of Prediction Models Simultaneously.

Aaron Fisher, Cynthia Rudin, Francesca Dominici · PubMed · 2019 · 271 citations · Full text

Computing, Criminology, Data Science +17

Model Class Reliance: Variable Importance Measures for any Machine Learning Model Class, from the "Rashomon" Perspective

Aaron Fisher, Cynthia Rudin, Francesca Dominici · arXiv (Cornell University) · 2018 · 119 citations · Full text

Computing, Data Science, Machine Learning +15

All Models are Wrong but many are Useful: Variable Importance for Black-Box, Proprietary, or Misspecified Prediction Models, using Model Class Reliance

Aaron Fisher, Cynthia Rudin, Francesca Dominici · arXiv (Cornell University) · 2018 · 88 citations · Full text

Computing, Biostatistics, Data Science +14

Visually Communicating and Teaching Intuition for Influence Functions

Aaron Fisher, Edward H. Kennedy · The American Statistician · 2020 · 37 citations

Computing, Visualization, Data Visualization +13