From

Institution

Field

Type

Topic: Advanced Bandit Algorithms Research ×

Open access only Cited by patents (Lens) Include non-Aachen papers (citing/cited)

Reset

Papers matching “benchmarking” in Advanced Bandit Algorithms Research 9

Sort: Relevance Cited Newest Oldest Fwci Patents ⇩ CSV

Not finding it? Sign in to also search OpenAlex live.

A Decade of Bayesian Optimization for Controller Tuning and Robot Learning: Tutorial, Review, and Future Prospects
2026 arXiv (Cornell University) preprint Decision Sciences Advanced Bandit Algorithms Research Open access

David Stenger, Paul Brunzema, Johanna Menn, Alexander von Rohr, Angela P. Schoellig, Sebastian Trimpe

0

citations
High Dimensional Bayesian Optimization with Kernel Principal Component Analysis
2022 arXiv (Cornell University) preprint Decision Sciences Advanced Bandit Algorithms Research Open access

Kirill Antonov, Elena Raponi, Hao Wang, Carola Doerr

2

citations
Comparison of High-Dimensional Bayesian Optimization Algorithms on BBOB
2024 ACM Transactions on Evolutionary Learning and Optimization article Decision Sciences Advanced Bandit Algorithms Research

Maria Laura Santoni, Elena Raponi, Renato De Leone, Carola Doerr

28

citations
High Dimensional Bayesian Optimization with Kernel Principal Component Analysis
2022 Lecture notes in computer science conference-paper Decision Sciences Advanced Bandit Algorithms Research

Kirill Antonov, Elena Raponi, Hao Wang, Carola Doerr

15

citations
Comparison of High-Dimensional Bayesian Optimization Algorithms on BBOB
2023 arXiv (Cornell University) preprint Decision Sciences Advanced Bandit Algorithms Research Open access

Maria Laura Santoni, Elena Raponi, Renato De Leone, Carola Doerr

2

citations
Feasibility-Driven Trust Region Bayesian Optimization
2025 arXiv (Cornell University) preprint Decision Sciences Advanced Bandit Algorithms Research Open access

Paolo Ascia, Elena Raponi, Thomas Bäck, Fabian M. E. Duddeck

0

citations
Local Preferential Bayesian Optimization
2026 arXiv (Cornell University) preprint Decision Sciences Advanced Bandit Algorithms Research Open access

Johanna Menn, Miriam Kober, Paul Brunzema, David Stenger, Sebastian Trimpe

0

citations
Preferential Bayesian Optimization With Crash Feedback
2026 IEEE Robotics and Automation Letters article Decision Sciences Advanced Bandit Algorithms Research Open access

Johanna Menn, Sebastian Trimpe

0

citations
Agentic Bayesian Optimization through Surrogate-Augmented Autoresearch
2026 arXiv (Cornell University) preprint Decision Sciences Advanced Bandit Algorithms Research Open access

Paul Brunzema, Louis C. Tiao, Nhat Le, Kevin De Angeli, Yao Xuan, Djordje Gligorijevic

0

citations

9 results