A simple illustration to run RKHS-SHAP, GP-SHAP, and BayesGPSHAP to explain kernel methods and Gaussian process.
The algorithms used in this repo came primarily out of the following papers. If you use RKHS-SHAP or GP-SHAP in your research we would appreciate a citation to the appropriate paper(s):
@article{chau2022rkhs,
title={RKHS-SHAP: Shapley values for kernel methods},
author={Chau, Siu Lun and Hu, Robert and Gonzalez, Javier and Sejdinovic, Dino},
journal={Advances in Neural Information Processing Systems},
volume={35},
pages={13050--13063},
year={2022}
}
@article{chau2023explaining,
title={Explaining the Uncertain: Stochastic Shapley Values for Gaussian Process Models},
author={Chau, Siu Lun and Muandet, Krikamol and Sejdinovic, Dino},
journal={arXiv preprint arXiv:2305.15167},
year={2023}
}