This repository is a supplement to the following paper:
Hubert Baniecki, Giuseppe Casalicchio, Bernd Bischl, Przemyslaw Biecek. Efficient and Accurate Explanation Estimation with Distribution Compression. ICML 2024 Workshop on DMLR https://arxiv.org/abs/2406.18334
In examples, we provide 4 Jupyter notebooks with simple code examples on how to use CTE with SHAP, SAGE, Expected Gradients, and Feature Effects.
In experiments, we provide code to reproduce the results reported in Section 4 of the paper.
This work was financially supported by the Polish National Science Centre grant number 2021/43/O/ST6/00347. Hubert Baniecki gratefully acknowledges scholarship funding from the Polish National Agency for Academic Exchange under the Preludium Bis NAWA 3 programme.
