Probabilistic Scoring Lists for Interpretable Machine Learning

Probabilistic Scoring Lists for Interpretable Machine Learning

31 July 2024

Eyke Hüllermeier

ArXiv (abs)PDF HTML

Papers citing "Probabilistic Scoring Lists for Interpretable Machine Learning"

4 / 4 papers shown

Title
In Pursuit of Interpretable, Fair and Accurate Machine Learning for Criminal Recidivism Prediction Caroline Linjun Wang Bin Han Bhrij Patel Cynthia Rudin FaML HAI 78 87 0 08 May 2020
Aleatoric and Epistemic Uncertainty in Machine Learning: An Introduction to Concepts and Methods Eyke Hüllermeier Willem Waegeman PER UD 244 1,421 0 21 Oct 2019
The limits of distribution-free conditional predictive inference Rina Foygel Barber Emmanuel J. Candès Aaditya Ramdas Robert Tibshirani UQCV 390 276 0 12 Mar 2019
"Why Should I Trust You?": Explaining the Predictions of Any Classifier Marco Tulio Ribeiro Sameer Singh Carlos Guestrin FAtt FaML 1.2K 17,027 0 16 Feb 2016