2 citations · 3 across the 12 of their papers we have counts for
3 papers · 1 filter
Multi-Target Decision Making under Conditions of Severe Uncertainty
Christoph Jansen, Georg Schollmeyer, Thomas Augustin
The quality of consequences in a decision making problem under (severe) uncertainty must often be compared among different targets (goals, objectives) simultaneously. In addition,…
Accounting for Gaussian Process Imprecision in Bayesian Optimization
Julian Rodemann, Thomas Augustin
Bayesian optimization (BO) with Gaussian processes (GP) as surrogate models is widely used to optimize analytically unknown and expensive-to-evaluate functions. In this paper, we p…
Information efficient learning of complexly structured preferences: Elicitation procedures and their application to decision making under uncertainty
Christoph Jansen, Hannah Blocher, Thomas Augustin +1
In this paper we propose efficient methods for elicitation of complexly structured preferences and utilize these in problems of decision making under (severe) uncertainty. Based on…