How Much Can Stratification Improve the Approximation of Shapley Values?

Author:

Kolpaczki PatrickORCID,Haselbeck GeorgORCID,Hüllermeier EykeORCID

Publisher

Springer Nature Switzerland

Reference30 articles.

1. European commission. Ethics guidelines for trustworthy AI (2019). https://ec.europa.eu/digital-single-market/en/news/ethics-guidelines-trustworthy-ai

2. Ancona, M., Öztireli, C., Gross, M.H.: Explaining deep neural networks with a polynomial time algorithm for shapley value approximation. In: Proceedings of International Conference on Machine Learning (ICML), pp. 272–281 (2019)

3. NATO ASI Serie;RJJ Aumann,1994

4. Burgess, M.A., Chapman, A.C.: Approximating the shapley value using stratified empirical bernstein sampling. In: Proceedings of International Joint Conference on Artificial Intelligence (IJCAI), pp. 73–81 (2021)

5. Castro, J., Gómez, D., Molina, E., Tejada, J.: Improving polynomial estimation of the shapley value by stratified random sampling with optimum allocation. Comput. Oper. Res. 82, 180–188 (2017)

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