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Anzahl der Publikationen: 25
Hochschulschrift
Bengs, Viktor
(2018):
Confidence sets for change-point problems in nonparametric regression.
Dissertation,
Philipps-Universität Marburg
Zeitschriftenartikel
Bengs, Viktor 
ORCID: https://orcid.org/0000-0001-6988-6186 und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(16. November 2022):
Multi-armed bandits with censored consumption of resources.
In: Machine Learning, Bd. 112, Nr. 2: S. 217-240
ORCID: https://orcid.org/0000-0001-6988-6186 und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(16. November 2022):
Multi-armed bandits with censored consumption of resources.
In: Machine Learning, Bd. 112, Nr. 2: S. 217-240
Schede, Elias; Brandt, Jasmin; Tornede, Alexander ORCID: https://orcid.org/0000-0002-2415-2186; Wever, Marcel ORCID: https://orcid.org/0000-0001-9782-6818; Bengs, Viktor ORCID: https://orcid.org/0000-0001-6988-6186; Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108 und Tierney, Kevin
(Oktober 2022):
A Survey of Methods for Automated Algorithm Configuration.
In: Journal of Artificial Intelligence Research, Bd. 75: S. 425-487
ORCID: https://orcid.org/0000-0002-2415-2186; Wever, Marcel ORCID: https://orcid.org/0000-0001-9782-6818; Bengs, Viktor ORCID: https://orcid.org/0000-0001-6988-6186; Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108 und Tierney, Kevin
(Oktober 2022):
A Survey of Methods for Automated Algorithm Configuration.
In: Journal of Artificial Intelligence Research, Bd. 75: S. 425-487
Schede, Elias; Brandt, Jasmin; Tornede, Alexander; Wever, Marcel; Bengs, Viktor; Huellermeier, Eyke und Tierney, Kevin
(2022):
A Survey of Methods for Automated Algorithm Configuration.
In: Journal of Artificial Intelligence Research, Bd. 75: S. 425-487
Haddenhorst, Björn ORCID: https://orcid.org/0000-0002-4023-6646; Bengs, Viktor und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(Juli 2021):
On testing transitivity in online preference learning.
In: Machine Learning, Bd. 110, Nr. 8: S. 2063-2084
ORCID: https://orcid.org/0000-0002-4023-6646; Bengs, Viktor und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(Juli 2021):
On testing transitivity in online preference learning.
In: Machine Learning, Bd. 110, Nr. 8: S. 2063-2084
Bengs, Viktor; Busa-Fekete, Róbert; Mesaoudi-Paul, Adil El und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(Januar 2021):
Preference-based Online Learning with Dueling Bandits: A Survey.
In: Journal of Machine Learning Research, Bd. 22, Nr. 7: S. 1-108
ORCID: https://orcid.org/0000-0002-9944-4108
(Januar 2021):
Preference-based Online Learning with Dueling Bandits: A Survey.
In: Journal of Machine Learning Research, Bd. 22, Nr. 7: S. 1-108
Haddenhorst, Björn; Bengs, Viktor und Hüllermeier, Eyke
(2021):
On testing transitivity in online preference learning.
In: Machine Learning, Bd. 110, Nr. 8: S. 2063-2084
Bengs, Viktor und Holzmann, Hajo
(2019):
Adaptive confidence sets for kink estimation.
In: Electronic Journal of Statistics, Bd. 13, Nr. 1: S. 1523-1579
[PDF, 726kB]
Bengs, Viktor; Eulert, Matthias und Holzmann, Hajo
(2019):
Asymptotic confidence sets for the jump curve in bivariate regression problems.
In: Journal of Multivariate Analysis, Bd. 173: S. 291-312
Paper
El Mesaoudi-Paul, Adil; Bengs, Viktor und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(Februar 2020):
Online Preselection with Context Information under the Plackett-Luce Model.
arxiv.org
ORCID: https://orcid.org/0000-0002-9944-4108
(Februar 2020):
Online Preselection with Context Information under the Plackett-Luce Model.
arxiv.org
Buchbeitrag
El Mesaoudi-Paul, Adil; Weiß, Dimitri; Bengs, Viktor; Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108 und Tierney, Kevin
(Mai 2020):
Pool-Based Realtime Algorithm Configuration: A Preselection Bandit Approach.
In: Kotsireas, Ilias S. und Pardalos, Panos M. (Hrsg.):
Learning and Intelligent Optimization. 14th International Conference, LION 14, Athens, Greece, May 24–28, 2020, Revised Selected Papers. Lecture Notes in Computer Science, Bd. 12096. Cham: Springer. S. 216-232
ORCID: https://orcid.org/0000-0002-9944-4108 und Tierney, Kevin
(Mai 2020):
Pool-Based Realtime Algorithm Configuration: A Preselection Bandit Approach.
In: Kotsireas, Ilias S. und Pardalos, Panos M. (Hrsg.):
Learning and Intelligent Optimization. 14th International Conference, LION 14, Athens, Greece, May 24–28, 2020, Revised Selected Papers. Lecture Notes in Computer Science, Bd. 12096. Cham: Springer. S. 216-232
Konferenzbeitrag
Brandt, Jasmin; Schede, Elias; Sharma, Shivam; Bengs, Viktor ORCID: https://orcid.org/0000-0001-6988-6186; Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108 und Tierney, Kevin
(Oktober 2023):
Contextual Preselection Methods in Pool-based Realtime Algorithm Configuration.
Lernen, Wissen, Daten, Analysen (LWDA), Marburg, Germany, 9-11 October 2023.
Leyer, Michael und Wichmann, Johannes (Hrsg.):
In: Lernen, Wissen, Daten, Analysen (LWDA) Conference Proceedings,
Bd. 3630
CEUR-WS.org. S. 492-505
ORCID: https://orcid.org/0000-0001-6988-6186; Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108 und Tierney, Kevin
(Oktober 2023):
Contextual Preselection Methods in Pool-based Realtime Algorithm Configuration.
Lernen, Wissen, Daten, Analysen (LWDA), Marburg, Germany, 9-11 October 2023.
Leyer, Michael und Wichmann, Johannes (Hrsg.):
In: Lernen, Wissen, Daten, Analysen (LWDA) Conference Proceedings,
Bd. 3630
CEUR-WS.org. S. 492-505
Schede, Elias; Brandt, Jasmin; Tornede, Alexander ORCID: https://orcid.org/0000-0002-2415-2186; Wever, Marcel ORCID: https://orcid.org/0000-0001-9782-6818; Bengs, Viktor ORCID: https://orcid.org/0000-0001-6988-6186; Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108 und Tierney, Kevin
(19. August 2023):
A Survey of Methods for Automated Algorithm Configuration (Extended Abstract).
Thirty-Second International Joint Conference on Artificial Intelligence (IJCAI 2023), Macao, S.A.R, 19-25 August 2023.
In: Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence,
S. 6964-6968
ORCID: https://orcid.org/0000-0002-2415-2186; Wever, Marcel ORCID: https://orcid.org/0000-0001-9782-6818; Bengs, Viktor ORCID: https://orcid.org/0000-0001-6988-6186; Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108 und Tierney, Kevin
(19. August 2023):
A Survey of Methods for Automated Algorithm Configuration (Extended Abstract).
Thirty-Second International Joint Conference on Artificial Intelligence (IJCAI 2023), Macao, S.A.R, 19-25 August 2023.
In: Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence,
S. 6964-6968
Mortier, Thomas ORCID: https://orcid.org/0000-0001-9650-9263; Bengs, Viktor ORCID: https://orcid.org/0000-0001-6988-6186; Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108; Luca, Stijn und Waegeman, Willem ORCID: https://orcid.org/0000-0002-5950-3003
(April 2023):
On the Calibration of Probabilistic Classifier Sets.
26th International Conference on Artificial Intelligence and Statistics (AISTATS 2023), Valencia, Spain, 25-27 April, 2023.
Ruiz, Francisco; Dy, Jennifer und van de Meent, Jan-Willem (Hrsg.):
In: Proceedings of The 26th International Conference on Artificial Intelligence and Statistics,
Bd. 206
PMLR. S. 8857-8870
ORCID: https://orcid.org/0000-0001-9650-9263; Bengs, Viktor ORCID: https://orcid.org/0000-0001-6988-6186; Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108; Luca, Stijn und Waegeman, Willem ORCID: https://orcid.org/0000-0002-5950-3003
(April 2023):
On the Calibration of Probabilistic Classifier Sets.
26th International Conference on Artificial Intelligence and Statistics (AISTATS 2023), Valencia, Spain, 25-27 April, 2023.
Ruiz, Francisco; Dy, Jennifer und van de Meent, Jan-Willem (Hrsg.):
In: Proceedings of The 26th International Conference on Artificial Intelligence and Statistics,
Bd. 206
PMLR. S. 8857-8870
Brandt, Jasmin; Schede, Elias; Haddenhorst, Björn ORCID: https://orcid.org/0000-0002-4023-6646; Bengs, Viktor ORCID: https://orcid.org/0000-0001-6988-6186; Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108 und Tierney, Kevin
(7. Februar 2023):
AC-Band: A Combinatorial Bandit-Based Approach to Algorithm Configuration.
AAAI Conference on Artificial Intelligence, Washington, DC, USA, February, 2023.
Proceedings of the AAAI Conference on Artificial Intelligence.
Bd. 37, Nr. 10
S. 12355-12363
ORCID: https://orcid.org/0000-0002-4023-6646; Bengs, Viktor ORCID: https://orcid.org/0000-0001-6988-6186; Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108 und Tierney, Kevin
(7. Februar 2023):
AC-Band: A Combinatorial Bandit-Based Approach to Algorithm Configuration.
AAAI Conference on Artificial Intelligence, Washington, DC, USA, February, 2023.
Proceedings of the AAAI Conference on Artificial Intelligence.
Bd. 37, Nr. 10
S. 12355-12363
Bengs, Viktor ORCID: https://orcid.org/0000-0001-6988-6186; Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108 und Waegeman, Willem ORCID: https://orcid.org/0000-0002-5950-3003
(2023):
On Second-Order Scoring Rules for Epistemic Uncertainty Quantification.
40th International Conference on Machine Learning (ICML 2023), Hawaii, USA, 23-29 July, 2023.
Krause, Andreas; Brunskill, Emma; Cho, Kyunghyun; Engelhardt, Barbara; Sabato, Sivan und Scarlett, Jonathan (Hrsg.):
In: Proceedings of the 40th International Conference on Machine Learning,
Bd. 202
PMLR. S. 2078-2091
ORCID: https://orcid.org/0000-0001-6988-6186; Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108 und Waegeman, Willem ORCID: https://orcid.org/0000-0002-5950-3003
(2023):
On Second-Order Scoring Rules for Epistemic Uncertainty Quantification.
40th International Conference on Machine Learning (ICML 2023), Hawaii, USA, 23-29 July, 2023.
Krause, Andreas; Brunskill, Emma; Cho, Kyunghyun; Engelhardt, Barbara; Sabato, Sivan und Scarlett, Jonathan (Hrsg.):
In: Proceedings of the 40th International Conference on Machine Learning,
Bd. 202
PMLR. S. 2078-2091
Brandt, Jasmin; Bengs, Viktor ORCID: https://orcid.org/0000-0001-6988-6186; Haddenhorst, Björn ORCID: https://orcid.org/0000-0002-4023-6646 und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(28. November 2022):
Finding Optimal Arms in Non-stochastic Combinatorial Bandits with Semi-bandit Feedback and Finite Budget.
Advances in Neural Information Processing Systems, New Orleans, USA, 28 November - 9 December 2022.
Oh, Alice H.; Agarwal, Alekh; Belgrave, Danielle und Cho, Kyunghyun (Hrsg.):
ORCID: https://orcid.org/0000-0001-6988-6186; Haddenhorst, Björn ORCID: https://orcid.org/0000-0002-4023-6646 und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(28. November 2022):
Finding Optimal Arms in Non-stochastic Combinatorial Bandits with Semi-bandit Feedback and Finite Budget.
Advances in Neural Information Processing Systems, New Orleans, USA, 28 November - 9 December 2022.
Oh, Alice H.; Agarwal, Alekh; Belgrave, Danielle und Cho, Kyunghyun (Hrsg.):
Bengs, Viktor ORCID: https://orcid.org/0000-0001-6988-6186; Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108 und Waegeman, Willem ORCID: https://orcid.org/0000-0002-5950-3003
(28. November 2022):
Pitfalls of Epistemic Uncertainty Quantification through Loss Minimisation.
Advances in Neural Information Processing Systems, New Orleans, USA, 28 November - 9 December 2022.
Oh, Alice H.; Agarwal, Alekh; Belgrave, Danielle und Cho, Kyunghyun (Hrsg.):
ORCID: https://orcid.org/0000-0001-6988-6186; Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108 und Waegeman, Willem ORCID: https://orcid.org/0000-0002-5950-3003
(28. November 2022):
Pitfalls of Epistemic Uncertainty Quantification through Loss Minimisation.
Advances in Neural Information Processing Systems, New Orleans, USA, 28 November - 9 December 2022.
Oh, Alice H.; Agarwal, Alekh; Belgrave, Danielle und Cho, Kyunghyun (Hrsg.):
Bengs, Viktor; Saha, Aadirupa und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(Juli 2022):
Stochastic Contextual Dueling Bandits under Linear Stochastic Transitivity Models.
39th International Conference on Machine Learning, Baltimore, MD, USA, July 17-23 2022.
Chaudhuri, Kamalika; Jegelka, Stefanie; Song, Le; Szepesvari, Csaba; Niu, Gang und Sabato, Sivan (Hrsg.):
In: Proceedings of the 39th International Conference on Machine Learning,
Bd. 162
PMLR. S. 1764-1786
ORCID: https://orcid.org/0000-0002-9944-4108
(Juli 2022):
Stochastic Contextual Dueling Bandits under Linear Stochastic Transitivity Models.
39th International Conference on Machine Learning, Baltimore, MD, USA, July 17-23 2022.
Chaudhuri, Kamalika; Jegelka, Stefanie; Song, Le; Szepesvari, Csaba; Niu, Gang und Sabato, Sivan (Hrsg.):
In: Proceedings of the 39th International Conference on Machine Learning,
Bd. 162
PMLR. S. 1764-1786
Tornede, Alexander ORCID: https://orcid.org/0000-0002-2415-2186; Bengs, Viktor und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(Juni 2022):
Machine Learning for Online Algorithm Selection under Censored Feedback.
Thirty-Sixth AAAI Conference on Artificial Intelligence, Virtual, February 22–March 1, 2022.
Proceedings of the AAAI Conference on Artificial Intelligence.
Bd. 36, Nr. 9
S. 10370-10380
ORCID: https://orcid.org/0000-0002-2415-2186; Bengs, Viktor und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(Juni 2022):
Machine Learning for Online Algorithm Selection under Censored Feedback.
Thirty-Sixth AAAI Conference on Artificial Intelligence, Virtual, February 22–March 1, 2022.
Proceedings of the AAAI Conference on Artificial Intelligence.
Bd. 36, Nr. 9
S. 10370-10380
Haddenhorst, Björn ORCID: https://orcid.org/0000-0002-4023-6646; Bengs, Viktor und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(7. Dezember 2021):
Identification of the Generalized Condorcet Winner in Multi-dueling Bandits.
Advances in Neural Information Processing Systems, Virtual, December 7 2021.
Ranzato, M.; Beygelzimer, A.; Dauphin, Y.; Liang, P.S. und Vaughan, J. Wortman (Hrsg.):
Bd. 34
Curran Associates, Inc.. S. 25904-25916
ORCID: https://orcid.org/0000-0002-4023-6646; Bengs, Viktor und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(7. Dezember 2021):
Identification of the Generalized Condorcet Winner in Multi-dueling Bandits.
Advances in Neural Information Processing Systems, Virtual, December 7 2021.
Ranzato, M.; Beygelzimer, A.; Dauphin, Y.; Liang, P.S. und Vaughan, J. Wortman (Hrsg.):
Bd. 34
Curran Associates, Inc.. S. 25904-25916
Kolpaczki, Patrick; Bengs, Viktor und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(September 2021):
Identifying Top-k Players in Cooperative Games via Shapley Bandits.
LWDA’21: Lernen, Wissen, Daten, Analysen, Munich, Germany, 1. - 3. September, 2021.
In: Proceedings of the LWDA 2021 Workshops: FGWM, KDML, FGWI-BIA, and FGIR,
Bd. 2993
S. 133-144
ORCID: https://orcid.org/0000-0002-9944-4108
(September 2021):
Identifying Top-k Players in Cooperative Games via Shapley Bandits.
LWDA’21: Lernen, Wissen, Daten, Analysen, Munich, Germany, 1. - 3. September, 2021.
In: Proceedings of the LWDA 2021 Workshops: FGWM, KDML, FGWI-BIA, and FGIR,
Bd. 2993
S. 133-144
Haddenhorst, Björn ORCID: https://orcid.org/0000-0002-4023-6646; Bengs, Viktor; Brandt, Jasmin und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(27. Juli 2021):
Testification of Condorcet Winners in dueling bandits.
Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, Virtual, July 27-30, 2021.
de Campos, Cassio und Maathuis, Marloes H. (Hrsg.):
In: Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence,
Bd. 161
PMLR. S. 1195-1205
ORCID: https://orcid.org/0000-0002-4023-6646; Bengs, Viktor; Brandt, Jasmin und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(27. Juli 2021):
Testification of Condorcet Winners in dueling bandits.
Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, Virtual, July 27-30, 2021.
de Campos, Cassio und Maathuis, Marloes H. (Hrsg.):
In: Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence,
Bd. 161
PMLR. S. 1195-1205
Mohr, Felix ORCID: https://orcid.org/0000-0002-9293-2424; Bengs, Viktor und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(Februar 2021):
Single Player Monte-Carlo Tree Search Based on the Plackett-Luce Model.
AAAI Conference on Artificial Intelligence, Virtual, February 2–9, 2021.
Proceedings of the AAAI Conference on Artificial Intelligence.
Bd. 35, Nr. 14
S. 12373-12381
ORCID: https://orcid.org/0000-0002-9293-2424; Bengs, Viktor und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(Februar 2021):
Single Player Monte-Carlo Tree Search Based on the Plackett-Luce Model.
AAAI Conference on Artificial Intelligence, Virtual, February 2–9, 2021.
Proceedings of the AAAI Conference on Artificial Intelligence.
Bd. 35, Nr. 14
S. 12373-12381
Bengs, Viktor und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(Juli 2020):
Preselection Bandits.
37th International Conference on Machine Learning, Virtual, July 12-18 2020.
III, Hal Daumé und Singh, Aarti (Hrsg.):
In: Proceedings of the 37th International Conference on Machine Learning,
Bd. 119
PMLR. S. 778-787
ORCID: https://orcid.org/0000-0002-9944-4108
(Juli 2020):
Preselection Bandits.
37th International Conference on Machine Learning, Virtual, July 12-18 2020.
III, Hal Daumé und Singh, Aarti (Hrsg.):
In: Proceedings of the 37th International Conference on Machine Learning,
Bd. 119
PMLR. S. 778-787