@articleSchede_Brandt_Tornede_Wever_Bengs_Hüllermeier_Tierney_2022, title=A Survey of Methods for Automated Algorithm Configuration, journal=arXiv:2202.01651, author=Schede, Elias and Brandt, Jasmin and Tornede, Alexander and Wever, Marcel Dominik and Bengs, Viktor and Hüllermeier, Eyke and Tierney, Kevin, year=2022 

@articleTornede_Bengs_Hüllermeier_2022, title=Machine Learning for Online Algorithm Selection under Censored Feedback, journal=Proceedings of the 36th AAAI Conference on Artificial Intelligence, publisher=AAAI, author=Tornede, Alexander and Bengs, Viktor and Hüllermeier, Eyke, year=2022 

@inbookEl Mesaoudi-Paul_Weiß_Bengs_Hüllermeier_Tierney_2020, place=Cham, series=Lecture Notes in Computer Science, title=Pool-Based Realtime Algorithm Configuration: A Preselection Bandit Approach, volume=12096, DOI=10.1007/978-3-030-53552-0_22, booktitle=Learning and Intelligent Optimization. LION 2020., publisher=Springer, author=El Mesaoudi-Paul, Adil and Weiß, Dimitri and Bengs, Viktor and Hüllermeier, Eyke and Tierney, Kevin, year=2020, pages=216–232, collection=Lecture Notes in Computer Science 

@articleEl Mesaoudi-Paul_Bengs_Hüllermeier, title=Online Preselection with Context Information under the Plackett-Luce  Model, journal=arXiv:2002.04275, author=El Mesaoudi-Paul, Adil and Bengs, Viktor and Hüllermeier, Eyke 

@articleBengs_Eulert_Holzmann_2019, title=Asymptotic confidence sets for the jump curve in bivariate regression problems, DOI=10.1016/j.jmva.2019.02.017, journal=Journal of Multivariate Analysis, author=Bengs, Viktor and Eulert, Matthias and Holzmann, Hajo, year=2019, pages=291–312 

@articleBengs_Holzmann_2019, title=Adaptive confidence sets for kink estimation, DOI=10.1214/19-ejs1555, journal=Electronic Journal of Statistics, author=Bengs, Viktor and Holzmann, Hajo, year=2019, pages=1523–1579 

@bookBengs_2018, title=Confidence sets for change-point problems in nonparametric regression , DOI=https://doi.org/10.17192/z2018.0511, author=Bengs, Viktor, year=2018