A Comparative Study of Methods for Estimating Conditional Shapley Values and When to Use Them

16 May 2023

Papers citing "A Comparative Study of Methods for Estimating Conditional Shapley Values and When to Use Them"

8 / 8 papers shown

Title
Interpretable Machine Learning for Survival Analysis Sophie Hanna Langbein Mateusz Krzyzinski Mikolaj Spytek Hubert Baniecki P. Biecek Marvin N. Wright 43 2 0 15 Mar 2024
Precision of Individual Shapley Value Explanations Lars Henry Berge Olsen TDI FAtt 18 1 0 06 Dec 2023
Notes on Applicability of Explainable AI Methods to Machine Learning Models Using Features Extracted by Persistent Homology Naofumi Hama 36 0 0 15 Oct 2023
Explaining Predictive Uncertainty with Information Theoretic Shapley Values David S. Watson Joshua O'Hara Niek Tax Richard Mudd Ido Guy TDI FAtt 26 21 0 09 Jun 2023
Explainability as statistical inference Hugo Senetaire Damien Garreau J. Frellsen Pierre-Alexandre Mattei FAtt 21 4 0 06 Dec 2022
FastSHAP: Real-Time Shapley Value Estimation N. Jethani Mukund Sudarshan Ian Covert Su-In Lee Rajesh Ranganath TDI FAtt 67 123 0 15 Jul 2021
ranger: A Fast Implementation of Random Forests for High Dimensional Data in C++ and R Marvin N. Wright A. Ziegler 93 2,732 0 18 Aug 2015
MissForest - nonparametric missing value imputation for mixed-type data D. Stekhoven Peter Buhlmann 165 4,220 0 04 May 2011