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Kristin Blesch
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Measuring inequality beyond the Gini coefficient may clarify conflicting findings
K Blesch, OP Hauser, JM Jachimowicz
Nature human behaviour 6 (11), 1525-1536, 2022
372022
Adversarial random forests for density estimation and generative modeling
DS Watson, K Blesch, J Kapar, MN Wright
International Conference on Artificial Intelligence and Statistics, 5357-5375, 2023
17*2023
Conditional feature importance for mixed data
K Blesch, DS Watson, MN Wright
AStA Advances in Statistical Analysis 108 (2), 259-278, 2024
102024
Unfooling SHAP and SAGE: knockoff imputation for Shapley values
K Blesch, MN Wright, D Watson
World Conference on Explainable Artificial Intelligence, 131-146, 2023
32023
arfpy: A Python Package for Density Estimation and Generative Modeling with Adversarial Random Forests
K Blesch, MN Wright
Journal of Open Research Software 12 (7), 2024
12024
MissARF: Adversarial random forests for imputing miss-ing values
P Golchian, J Kapar, K Blesch, DS Watson, MN Wright
Statistical Computing 2024, 13, 2024
2024
Interpretable machine learning and generative modeling with mixed tabular data-advancing methodology from the perspective of statistics
K Blesch
Universität Bremen, 2024
2024
CountARFactuals--Generating plausible model-agnostic counterfactual explanations with adversarial random forests
S Dandl*, K Blesch*, T Freiesleben*, G König*, J Kapar, B Bischl, ...
arXiv preprint arXiv:2404.03506, 2024
2024
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