Dr. Viktor Bengs

Intelligente Systeme und Maschinelles Lernen

Mitglied - Ehemaliger

Publikationen

Aktuelle Publikationen

A Survey of Methods for Automated Algorithm Configuration

E. Schede, J. Brandt, A. Tornede, M.D. Wever, V. Bengs, E. Hüllermeier, K. Tierney, ArXiv:2202.01651 (2022).

Machine Learning for Online Algorithm Selection under Censored Feedback

A. Tornede, V. Bengs, E. Hüllermeier, Proceedings of the 36th AAAI Conference on Artificial Intelligence (2022).

Pool-Based Realtime Algorithm Configuration: A Preselection Bandit Approach

A. El Mesaoudi-Paul, D. Weiß, V. Bengs, E. Hüllermeier, K. Tierney, in: Learning and Intelligent Optimization. LION 2020., Springer, Cham, 2020, pp. 216–232.

Online Preselection with Context Information under the Plackett-Luce Model

A. El Mesaoudi-Paul, V. Bengs, E. Hüllermeier, ArXiv:2002.04275 (n.d.).

Asymptotic confidence sets for the jump curve in bivariate regression problems

V. Bengs, M. Eulert, H. Holzmann, Journal of Multivariate Analysis (2019) 291–312.

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