Karolin Frohnapfel
@karofr.bsky.social
Reposted by Karolin Frohnapfel
I am hiring PhD students and/or Postdocs, to work on the theory of explainable machine learning. Please apply through Ellis or IMPRS, deadlines end october/mid november. In particular: Women, where are you? Our community needs you!!!
imprs.is.mpg.de/application
ellis.eu/news/ellis-p...
imprs.is.mpg.de/application
ellis.eu/news/ellis-p...
September 17, 2025 at 6:18 AM
I am hiring PhD students and/or Postdocs, to work on the theory of explainable machine learning. Please apply through Ellis or IMPRS, deadlines end october/mid november. In particular: Women, where are you? Our community needs you!!!
imprs.is.mpg.de/application
ellis.eu/news/ellis-p...
imprs.is.mpg.de/application
ellis.eu/news/ellis-p...
Reposted by Karolin Frohnapfel
Ever aggregated SHAP values across sample points? Our #COLT2025 paper proves that this might be safe when your goal is to discard unimportant features - but only if you add one extra line of code that reshuffles your data! With Robi Bhattacharjee and Karolin Frohnapfel
arxiv.org/abs/2503.23111
arxiv.org/abs/2503.23111
How to safely discard features based on aggregate SHAP values
SHAP is one of the most popular local feature-attribution methods. Given a function f and an input x, it quantifies each feature's contribution to f(x). Recently, SHAP has been increasingly used for g...
arxiv.org
May 15, 2025 at 2:48 PM
Ever aggregated SHAP values across sample points? Our #COLT2025 paper proves that this might be safe when your goal is to discard unimportant features - but only if you add one extra line of code that reshuffles your data! With Robi Bhattacharjee and Karolin Frohnapfel
arxiv.org/abs/2503.23111
arxiv.org/abs/2503.23111