Explaining predictive models using Shapley values and non-parametric vine copulas

12 February 2021

Papers citing "Explaining predictive models using Shapley values and non-parametric vine copulas"

7 / 7 papers shown

Title
A Comprehensive Study of Shapley Value in Data Analytics Hong Lin Shixin Wan Zhongle Xie Ke Chen Meihui Zhang Lidan Shou Gang Chen 126 0 0 02 Dec 2024
True to the Model or True to the Data? Hugh Chen Joseph D. Janizek Scott M. Lundberg Su-In Lee TDI FAtt 117 166 0 29 Jun 2020
Explaining individual predictions when features are dependent: More accurate approximations to Shapley values K. Aas Martin Jullum Anders Løland FAtt TDI 55 616 0 25 Mar 2019
A Unified Approach to Interpreting Model Predictions Scott M. Lundberg Su-In Lee FAtt 807 21,760 0 22 May 2017
Converting High-Dimensional Regression to High-Dimensional Conditional Density Estimation Rafael Izbicki Ann B. Lee 121 78 0 26 Apr 2017
ranger: A Fast Implementation of Random Forests for High Dimensional Data in C++ and R Marvin N. Wright A. Ziegler 232 2,771 0 18 Aug 2015
Adaptive pointwise estimation of conditional density function Karine Bertin C. Lacour Vincent Rivoirard 89 39 0 28 Dec 2013