SORTeD Rashomon Sets of Sparse Decision Trees: Anytime Enumeration

NeurIPSSpotlight2025

Authors
Elif Arslan, Jacobus G. M. van der Linden, Serge Hoogendoorn, Marco Rinaldi, Emir Demirović
Venue
NeurIPS 2025
Track
Spotlight

TL;DR

Sparse decision tree learning provides accurate and interpretable predictive models that are ideal for high-stakes applications by finding the single most accurate tree within a (soft) size limit…

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