groupShapley: Efficient prediction explanation with Shapley values for feature groups

23 June 2021

Papers citing "groupShapley: Efficient prediction explanation with Shapley values for feature groups"

9 / 9 papers shown

Title
Towards Budget-Friendly Model-Agnostic Explanation Generation for Large Language Models Junhao Liu Haonan Yu Xin Zhang LRM 14 0 0 18 May 2025
Group Shapley with Robust Significance Testing and Its Application to Bond Recovery Rate Prediction Jingyi Wang Ying Chen Paolo Giudici 45 0 0 06 Jan 2025
Succinct Interaction-Aware Explanations Sascha Xu Joscha Cuppers Jilles Vreeken FAtt 24 0 0 08 Feb 2024
Shapley Sets: Feature Attribution via Recursive Function Decomposition Torty Sivill Peter A. Flach FAtt TDI 11 1 0 04 Jul 2023
Do intermediate feature coalitions aid explainability of black-box models? M. Patil Kary Främling 19 0 0 21 Mar 2023
On marginal feature attributions of tree-based models Khashayar Filom A. Miroshnikov Konstandinos Kotsiopoulos Arjun Ravi Kannan FAtt 22 3 0 16 Feb 2023
WindowSHAP: An Efficient Framework for Explaining Time-series Classifiers based on Shapley Values Amin Nayebi Sindhu Tipirneni Chandan K. Reddy Brandon Foreman V. Subbian FAtt AI4TS 21 19 0 11 Nov 2022
Using Shapley Values and Variational Autoencoders to Explain Predictive Models with Dependent Mixed Features Lars Henry Berge Olsen I. Glad Martin Jullum K. Aas TDI FAtt 32 17 0 26 Nov 2021
ranger: A Fast Implementation of Random Forests for High Dimensional Data in C++ and R Marvin N. Wright A. Ziegler 113 2,735 0 18 Aug 2015