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01/26/2023
Finding Regions of Counterfactual Explanations via Robust Optimization
Counterfactual explanations play an important role in detecting bias and...
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03/30/2022
Data-driven Prediction of Relevant Scenarios for Robust Optimization
In this work we study robust one- and two-stage problems with discrete u...
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03/03/2022
Ensemble Methods for Robust Support Vector Machines using Integer Programming
In this work we study binary classification problems where we assume tha...
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10/21/2021
Efficient and Robust Mixed-Integer Optimization Methods for Training Binarized Deep Neural Networks
Compared to classical deep neural networks its binarized versions can be...
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06/06/2021
New complexity results and algorithms for min-max-min robust combinatorial optimization
In this work we investigate the min-max-min robust optimization problem ...
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11/19/2020
Data-Driven Robust Optimization using Unsupervised Deep Learning
Robust optimization has been established as a leading methodology to app...
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07/07/2020
An Integer Programming Approach to Deep Neural Networks with Binary Activation Functions
We study deep neural networks with binary activation functions (BDNN), i...
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04/02/2019
