Viktor Bengs

Fakultät für Elektrotechnik, Informatik und Mathematik
Institut für Informatik
Intelligente Systeme und Maschinelles Lernen
viktor.bengs@uni-paderborn.de
ID
76599

7 Publications

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[7]
2022 | Preprint | LibreCat-ID: 30868
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.
LibreCat | arXiv
 
[6]
2022 | Preprint | LibreCat-ID: 30867
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.
LibreCat | arXiv
 
[5]
2020 | Book Chapter | LibreCat-ID: 18014
El Mesaoudi-Paul, Adil, Dimitri Weiß, Viktor Bengs, Eyke Hüllermeier, and Kevin Tierney. “Pool-Based Realtime Algorithm Configuration: A Preselection Bandit Approach.” 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.
LibreCat | DOI
 
[4]
2020 | Preprint | LibreCat-ID: 18017
El Mesaoudi-Paul, Adil, Viktor Bengs, and Eyke Hüllermeier. “Online Preselection with Context Information under the Plackett-Luce  Model.” ArXiv:2002.04275, n.d.
LibreCat
 
[3]
2019 | Journal Article | LibreCat-ID: 14027
Bengs, Viktor, Matthias Eulert, and Hajo Holzmann. “Asymptotic Confidence Sets for the Jump Curve in Bivariate Regression Problems.” Journal of Multivariate Analysis, 2019, 291–312. https://doi.org/10.1016/j.jmva.2019.02.017.
LibreCat | DOI
 
[2]
2019 | Journal Article | LibreCat-ID: 14028
Bengs, Viktor, and Hajo Holzmann. “Adaptive Confidence Sets for Kink Estimation.” Electronic Journal of Statistics, 2019, 1523–79. https://doi.org/10.1214/19-ejs1555.
LibreCat | DOI
 
[1]
2018 | Dissertation | LibreCat-ID: 14031
Bengs, Viktor. Confidence Sets for Change-Point Problems in Nonparametric Regression , 2018. https://doi.org/10.17192/z2018.0511.
LibreCat | DOI
 
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7 Publications

Mark all

[7]
2022 | Preprint | LibreCat-ID: 30868
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.
LibreCat | arXiv
 
[6]
2022 | Preprint | LibreCat-ID: 30867
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.
LibreCat | arXiv
 
[5]
2020 | Book Chapter | LibreCat-ID: 18014
El Mesaoudi-Paul, Adil, Dimitri Weiß, Viktor Bengs, Eyke Hüllermeier, and Kevin Tierney. “Pool-Based Realtime Algorithm Configuration: A Preselection Bandit Approach.” 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.
LibreCat | DOI
 
[4]
2020 | Preprint | LibreCat-ID: 18017
El Mesaoudi-Paul, Adil, Viktor Bengs, and Eyke Hüllermeier. “Online Preselection with Context Information under the Plackett-Luce  Model.” ArXiv:2002.04275, n.d.
LibreCat
 
[3]
2019 | Journal Article | LibreCat-ID: 14027
Bengs, Viktor, Matthias Eulert, and Hajo Holzmann. “Asymptotic Confidence Sets for the Jump Curve in Bivariate Regression Problems.” Journal of Multivariate Analysis, 2019, 291–312. https://doi.org/10.1016/j.jmva.2019.02.017.
LibreCat | DOI
 
[2]
2019 | Journal Article | LibreCat-ID: 14028
Bengs, Viktor, and Hajo Holzmann. “Adaptive Confidence Sets for Kink Estimation.” Electronic Journal of Statistics, 2019, 1523–79. https://doi.org/10.1214/19-ejs1555.
LibreCat | DOI
 
[1]
2018 | Dissertation | LibreCat-ID: 14031
Bengs, Viktor. Confidence Sets for Change-Point Problems in Nonparametric Regression , 2018. https://doi.org/10.17192/z2018.0511.
LibreCat | DOI
 
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Citation Style: Chicago

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