Viktor Bengs
Scholar

Viktor Bengs

Google Scholar ID: J1eEtpwAAAAJ
German Research Center for Artificial Intelligence (DFKI)
Bandit algorithmsPreference learningUncertainty QuantificationAlgorithm Configuration
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Citations & Impact
All-time
Citations
964
 
H-index
13
 
i10-index
15
 
Publications
20
 
Co-authors
26
list available
Contact
No contact links provided.
Publications
4 items
Linear-LLM-SCM: Benchmarking LLMs for Coefficient Elicitation in Linear-Gaussian Causal Models
2026
Cited
0
Co-Exploration and Co-Exploitation via Shared Structure in Multi-Task Bandits
2025
Cited
0
A comparative analysis of rank aggregation methods for the partial label ranking problem
2025
Cited
0
A calibration test for evaluating set-based epistemic uncertainty representations
2025
Cited
0
Resume (English only)
Co-authors
26 total
Eyke Hüllermeier
Eyke Hüllermeier
Professor of Computer Science, Paderborn University
Co-author 2
Co-author 2
Timo Kaufmann
Timo Kaufmann
PhD candidate at LMU Munich
Willem Waegeman
Willem Waegeman
Ghent University
Marcel Wever
Marcel Wever
LUHAI, Leibniz University Hannover
Kevin Tierney
Kevin Tierney
Bielefeld University
Patrick Kolpaczki
Patrick Kolpaczki
PhD. Candidate, Ludwig Maximilian University of Munich
Paul Weng
Paul Weng
Duke Kunshan University