SHAFF: Fast and consistent SHApley eFfect estimates via random Forests

25 May 2021

Papers citing "SHAFF: Fast and consistent SHApley eFfect estimates via random Forests"

7 / 7 papers shown

Title
Shapley Curves: A Smoothing Perspective Ratmir Miftachov Georg Keilbar Wolfgang Karl Härdle FAtt 30 1 0 23 Nov 2022
Proportional marginal effects for global sensitivity analysis Margot Herin Marouane Il Idrissi V. Chabridon Bertrand Iooss 11 6 0 24 Oct 2022
Local and Regional Counterfactual Rules: Summarized and Robust Recourses Salim I. Amoukou Nicolas Brunel 26 0 0 29 Sep 2022
Quantile-constrained Wasserstein projections for robust interpretability of numerical and machine learning models Marouane Il Idrissi Nicolas Bousquet Fabrice Gamboa Bertrand Iooss Jean-Michel Loubes 35 2 0 23 Sep 2022
Explainable AI (XAI): A Systematic Meta-Survey of Current Challenges and Future Opportunities Waddah Saeed C. Omlin XAI 36 414 0 11 Nov 2021
MDA for random forests: inconsistency, and a practical solution via the Sobol-MDA Clément Bénard Sébastien Da Veiga Erwan Scornet 45 49 0 26 Feb 2021
ranger: A Fast Implementation of Random Forests for High Dimensional Data in C++ and R Marvin N. Wright A. Ziegler 93 2,731 0 18 Aug 2015