2 citations · 4 across the 5 of their papers we have counts for
5 papers · 1 filter
Robust Entropy Search for Safe Efficient Bayesian Optimization
Dorina Weichert, Alexander Kister, Sebastian Houben +2
The practical use of Bayesian Optimization (BO) in engineering applications imposes special requirements: high sampling efficiency on the one hand and finding a robust solution on…
Robustness in Fatigue Strength Estimation
Dorina Weichert, Alexander Kister, Sebastian Houben +2
Fatigue strength estimation is a costly manual material characterization process in which state-of-the-art approaches follow a standardized experiment and analysis procedure. In th…
Multi-Agent Neural Rewriter for Vehicle Routing with Limited Disclosure of Costs
Nathalie Paul, Tim Wirtz, Stefan Wrobel +1
We interpret solving the multi-vehicle routing problem as a team Markov game with partially observable costs. For a given set of customers to serve, the playing agents (vehicles) h…
Bayesian Optimization for Min Max Optimization
Dorina Weichert, Alexander Kister
A solution that is only reliable under favourable conditions is hardly a safe solution. Min Max Optimization is an approach that returns optima that are robust against worst case c…
Approaching Neural Network Uncertainty Realism
Joachim Sicking, Alexander Kister, Matthias Fahrland +5
Statistical models are inherently uncertain. Quantifying or at least upper-bounding their uncertainties is vital for safety-critical systems such as autonomous vehicles. While stan…