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cs.LG2023★ 1 cited
Finding Regions of Counterfactual Explanations via Robust Optimization
Donato Maragno, Jannis Kurtz, Tabea E. Röber +3
Counterfactual explanations play an important role in detecting bias and improving the explainability of data-driven classification models. A counterfactual explanation (CE) is a m…
cs.LG2022★ 1 cited
Ensemble Methods for Robust Support Vector Machines using Integer Programming
Jannis Kurtz
In this work we study binary classification problems where we assume that our training data is subject to uncertainty, i.e. the precise data points are not known. To tackle this is…