On the Robustness of Global Feature Effect Explanations

On the Robustness of Global Feature Effect Explanations

13 June 2024

Hubert Baniecki

Giuseppe Casalicchio

Bernd Bischl

Przemyslaw Biecek

Papers citing "On the Robustness of Global Feature Effect Explanations"

7 / 7 papers shown

Title
Efficient and Accurate Explanation Estimation with Distribution Compression Hubert Baniecki Giuseppe Casalicchio Bernd Bischl Przemyslaw Biecek FAtt 70 4 0 26 Jun 2024
"Is your explanation stable?": A Robustness Evaluation Framework for Feature Attribution Yuyou Gan Yuhao Mao Xuhong Zhang S. Ji Yuwen Pu Meng Han Jianwei Yin Ting Wang FAtt AAML 17 15 0 05 Sep 2022
Benchmarking and Survey of Explanation Methods for Black Box Models F. Bodria F. Giannotti Riccardo Guidotti Francesca Naretto D. Pedreschi S. Rinzivillo XAI 60 224 0 25 Feb 2021
Robust and Stable Black Box Explanations Himabindu Lakkaraju Nino Arsov Osbert Bastani AAML FAtt 43 84 0 12 Nov 2020
Lipschitz regularity of deep neural networks: analysis and efficient estimation Kevin Scaman Aladin Virmaux 58 523 0 28 May 2018
A Simple and Effective Model-Based Variable Importance Measure Brandon M. Greenwell Bradley C. Boehmke Andrew J. McCarthy FAtt TDI 24 227 0 12 May 2018
Visualizing the Feature Importance for Black Box Models Giuseppe Casalicchio Christoph Molnar B. Bischl FAtt 31 182 0 18 Apr 2018