Schede, Elias, Jasmin Brandt, Alexander Tornede, Marcel Dominik Wever, Viktor Bengs, Eyke Hüllermeier, and Kevin Tierney. “A Survey of Methods for Automated Algorithm Configuration.” ArXiv:2202.01651, 2022.

Tornede, Alexander, Viktor Bengs, and Eyke Hüllermeier. “Machine Learning for Online Algorithm Selection under Censored Feedback.” Proceedings of the 36th AAAI Conference on Artificial Intelligence. AAAI, 2022.

El Mesaoudi-Paul, Adil, Dimitri Weiß, Viktor Bengs, Eyke Hüllermeier, and Kevin Tierney. “Pool-Based Realtime Algorithm Configuration: A Preselection Bandit Approach.”https://doi.org/10.1007/978-3-030-53552-0_22__In Learning and Intelligent Optimization. LION 2020., 12096:216–32. Lecture Notes in Computer Science. Cham: Springer, 2020.https://doi.org/10.1007/978-3-030-53552-0_22 .

El Mesaoudi-Paul, Adil, Viktor Bengs, and Eyke Hüllermeier. “Online Preselection with Context Information under the Plackett-Luce  Model.” ArXiv:2002.04275, n.d.

Bengs, Viktor, Matthias Eulert, and Hajo Holzmann. “Asymptotic Confidence Sets for the Jump Curve in Bivariate Regression Problems.”https://doi.org/10.1016/j.jmva.2019.02.017__Journal of Multivariate Analysis, 2019, 291–312.https://doi.org/10.1016/j.jmva.2019.02.017 .

Bengs, Viktor, and Hajo Holzmann. “Adaptive Confidence Sets for Kink Estimation.”https://doi.org/10.1214/19-ejs1555__Electronic Journal of Statistics, 2019, 1523–79.https://doi.org/10.1214/19-ejs1555 .

Bengs, Viktor. Confidence Sets for Change-Point Problems in Nonparametric Regression , 2018.https://doi.org/10.17192/z2018.0511 .