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math.OC2021
Efficient and Robust Mixed-Integer Optimization Methods for Training Binarized Deep Neural Networks
Jannis Kurtz, Bubacarr Bah
Compared to classical deep neural networks its binarized versions can be useful for applications on resource-limited devices due to their reduction in memory consumption and comput…
math.OC2021★ 1 cited
Approximation Algorithms for Min-max-min Robust Optimization and K-Adaptability under Objective Uncertainty
Jannis Kurtz
In this work we investigate the min-max-min robust optimization problem and the k-adaptability robust optimization problem for binary problems with uncertain costs. The idea of the…