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 Karthikeyan N. Ramamurthy FAtt 45 2 0 17 Feb 2024
Locally-Minimal Probabilistic Explanations Yacine Izza Kuldeep S. Meel Sasha Rubin 21 3 0 19 Dec 2023
Anytime Approximate Formal Feature Attribution Jinqiang Yu Graham Farr Alexey Ignatiev Peter J. Stuckey 32 2 0 12 Dec 2023
Inapproximability of sufficient reasons for decision trees Alexander Kozachinskiy 32 0 0 05 Apr 2023
Feature Necessity & Relevancy in ML Classifier Explanations Xuanxiang Huang Martin C. Cooper António Morgado Jordi Planes Sasha Rubin FAtt 38 18 0 27 Oct 2022
Logic-Based Explainability in Machine Learning Sasha Rubin LRM XAI 57 39 0 24 Oct 2022
Eliminating The Impossible, Whatever Remains Must Be True Jinqiang Yu Alexey Ignatiev Peter J. Stuckey Nina Narodytska Sasha Rubin 32 23 0 20 Jun 2022
Provably Precise, Succinct and Efficient Explanations for Decision Trees Yacine Izza Alexey Ignatiev Nina Narodytska Martin C. Cooper Sasha Rubin FAtt 40 7 0 19 May 2022
Model Interpretability through the Lens of Computational Complexity Pablo Barceló Mikaël Monet Jorge A. Pérez Bernardo Subercaseaux 132 94 0 23 Oct 2020