6 citations · 11 across the 5 of their papers we have counts for
5 papers
Multi-Armed Bandits with Censored Consumption of Resources
Viktor Bengs, Eyke Hüllermeier
We consider a resource-aware variant of the classical multi-armed bandit problem: In each round, the learner selects an arm and determines a resource limit. It then observes a corr…
Online Preselection with Context Information under the Plackett-Luce Model
Adil El Mesaoudi-Paul, Viktor Bengs, Eyke Hüllermeier
We consider an extension of the contextual multi-armed bandit problem, in which, instead of selecting a single alternative (arm), a learner is supposed to make a preselection in th…
Preselection Bandits
Viktor Bengs, Eyke Hüllermeier
In this paper, we introduce the Preselection Bandit problem, in which the learner preselects a subset of arms (choice alternatives) for a user, which then chooses the final arm fro…
Uniform approximation in classical weak convergence theory
Viktor Bengs, Hajo Holzmann
A common statistical task lies in showing asymptotic normality of certain statistics. In many of these situations, classical textbook results on weak convergence theory suffice for…
Asymptotic confidence sets for the jump curve in bivariate regression problems
Viktor Bengs, Matthias Eulert, Hajo Holzmann
We construct uniform and point-wise asymptotic confidence sets for the single edge in an otherwise smooth image function which are based on rotated differences of two one-sided ker…