Sampling, Intervention, Prediction, Aggregation: A Generalized Framework for Model-Agnostic Interpretations

8 April 2019

Papers citing "Sampling, Intervention, Prediction, Aggregation: A Generalized Framework for Model-Agnostic Interpretations"

6 / 6 papers shown

Title
Efficient and Accurate Explanation Estimation with Distribution Compression Hubert Baniecki Giuseppe Casalicchio Bernd Bischl Przemyslaw Biecek FAtt 53 3 0 26 Jun 2024
fmeffects: An R Package for Forward Marginal Effects Holger Lowe Christian A. Scholbeck Christian Heumann B. Bischl Giuseppe Casalicchio 29 0 0 03 Oct 2023
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 49 3 0 23 Sep 2022
Grouped Feature Importance and Combined Features Effect Plot Quay Au J. Herbinger Clemens Stachl B. Bischl Giuseppe Casalicchio FAtt 45 44 0 23 Apr 2021
General Pitfalls of Model-Agnostic Interpretation Methods for Machine Learning Models Christoph Molnar Gunnar Konig J. Herbinger Timo Freiesleben Susanne Dandl Christian A. Scholbeck Giuseppe Casalicchio Moritz Grosse-Wentrup B. Bischl FAtt AI4CE 33 135 0 08 Jul 2020
Model-agnostic Feature Importance and Effects with Dependent Features -- A Conditional Subgroup Approach Christoph Molnar Gunnar Konig B. Bischl Giuseppe Casalicchio 36 77 0 08 Jun 2020