2 citations · 4 across the 5 of their papers we have counts for
3 papers · 1 filter
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…
Monte Carlo Tree Search for high precision manufacturing
Dorina Weichert, Felix Horchler, Alexander Kister +3
Monte Carlo Tree Search (MCTS) has shown its strength for a lot of deterministic and stochastic examples, but literature lacks reports of applications to real world industrial proc…
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…