On Computing Probabilistic Explanations for Decision Trees

30 June 2022

Papers citing "On Computing Probabilistic Explanations for Decision Trees"

9 / 9 papers shown

Title
Trust Regions for Explanations via Black-Box Probabilistic Certification Amit Dhurandhar Swagatam Haldar Dennis L. Wei K. Ramamurthy FAtt 21 2 0 17 Feb 2024
Locally-Minimal Probabilistic Explanations Yacine Izza Kuldeep S. Meel João Marques-Silva 11 3 0 19 Dec 2023
Anytime Approximate Formal Feature Attribution Jinqiang Yu Graham Farr Alexey Ignatiev Peter James Stuckey 22 2 0 12 Dec 2023
Inapproximability of sufficient reasons for decision trees A. Kozachinskiy 17 0 0 05 Apr 2023
Feature Necessity & Relevancy in ML Classifier Explanations Xuanxiang Huang Martin C. Cooper António Morgado Jordi Planes João Marques-Silva FAtt 30 18 0 27 Oct 2022
Logic-Based Explainability in Machine Learning João Marques-Silva LRM XAI 42 39 0 24 Oct 2022
Eliminating The Impossible, Whatever Remains Must Be True Jinqiang Yu Alexey Ignatiev Peter James Stuckey Nina Narodytska João Marques-Silva 14 22 0 20 Jun 2022
Provably Precise, Succinct and Efficient Explanations for Decision Trees Yacine Izza Alexey Ignatiev Nina Narodytska Martin C. Cooper João Marques-Silva FAtt 32 7 0 19 May 2022
Model Interpretability through the Lens of Computational Complexity Pablo Barceló Mikaël Monet Jorge A. Pérez Bernardo Subercaseaux 121 94 0 23 Oct 2020