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Papers in Advanced Bandit Algorithms Research 35

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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
On Controller Tuning with Time-Varying Bayesian Optimization
2022 Proceedings of the IEEE Conference on Decision & Control, including the Symposium on Adaptive Processes conference-paper Decision Sciences Advanced Bandit Algorithms Research Open access

Paul Brunzema, Alexander von Rohr, Sebastian Trimpe

16

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
Bayesian Optimization
2024 Genetic and Evolutionary Computation Conference Companion (GECCO Companion) conference-paper Decision Sciences Advanced Bandit Algorithms Research Open access

Juergen Branke, Ivo Couckuyt, Sebastian Rojas Gonzalez, Elena Raponi

14

citations
Local Bayesian optimization for controller tuning with crash constraints
2024 at - Automatisierungstechnik article Decision Sciences Advanced Bandit Algorithms Research Open access

Alexander von Rohr, Dominik Scheurenberg, Sebastian Trimpe

5

citations
Open problem: Fast and optimal online portfolio selection
2020 Centrum Wiskunde & Informatica (CWI), the national research institute for mathematics and computer science in the Netherlands conference-paper Decision Sciences Advanced Bandit Algorithms Research Open access

Tim van Erven, Dirk van der Hoeven, Wojciech Kotłowski, Wouter M. Koolen

5

citations
Exploiting the Surrogate Gap in Online Multiclass Classification
2020 arXiv (Cornell University) preprint Decision Sciences Advanced Bandit Algorithms Research Open access

Dirk van der Hoeven

4

citations
On Safety in Safe Bayesian Optimization
2024 arXiv (Cornell University) preprint Decision Sciences Advanced Bandit Algorithms Research Open access

Christian Fiedler, Johanna Menn, Lukas Kreisköther, Sebastian Trimpe

3

citations
Robust Online Convex Optimization in the Presence of Outliers
2021 Conference on Learning Theory conference-paper Decision Sciences Advanced Bandit Algorithms Research

Sarah Sachs, Tim van Erven, Wouter M. Koolen, Wojciech Kotłowski

3

citations
Optimal data driven resource allocation under multi-armed bandit observations
2025 Annals of Operations Research article Decision Sciences Advanced Bandit Algorithms Research Open access

Apostolos Burnetas, Odysseas Kanavetas, Michael N. Katehakis

3

citations
Early Stopping Bayesian Optimization for Controller Tuning
2024 Proceedings of the IEEE Conference on Decision & Control, including the Symposium on Adaptive Processes conference-paper Decision Sciences Advanced Bandit Algorithms Research

Dominik Scheurenberg, Heike Vallery, Sebastian Trimpe

2

citations
Comparator-adaptive Convex Bandits
2020 arXiv (Cornell University) preprint Decision Sciences Advanced Bandit Algorithms Research Open access

Dirk van der Hoeven, Ashok Cutkosky, Haipeng Luo

2

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
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
Lipschitz Safe Bayesian Optimization for Automotive Control
2024 Proceedings of the IEEE Conference on Decision & Control, including the Symposium on Adaptive Processes conference-paper Decision Sciences Advanced Bandit Algorithms Research

Johanna Menn, Pietro Pelizzari, Michael Fleps-Dezasse, Sebastian Trimpe

1

citations
Maximizing the acquisition function of Bayesian optimization to guaranteed global optimality : July 8th, 2020 ; Cambridge
2020 RWTH Publications (RWTH Aachen) conference-paper Decision Sciences Advanced Bandit Algorithms Research Open access

Artur M. Schweidtmann, Tim Kerkenhoff, Dominik Bongartz, Xiaopeng Lin, Jaromił Najman, Alexander Mitsos

1

citations
Event-Triggered Time-Varying Bayesian Optimization
2022 arXiv (Cornell University) preprint Decision Sciences Advanced Bandit Algorithms Research Open access

Paul Brunzema, Alexander von Rohr, Friedrich Solowjow, Sebastian Trimpe

1

citations
BayeSQP: Bayesian Optimization through Sequential Quadratic Programming
2025 neural information processing systems conference-paper Decision Sciences Advanced Bandit Algorithms Research

Paul Brunzema, Sebastian Trimpe

1

citations
A new acquisition function for robust Bayesian optimization of unconstrained problems
2021 Genetic and Evolutionary Computation Conference Companion (GECCO Companion) conference-paper Decision Sciences Advanced Bandit Algorithms Research Open access

Sibghat Ullah, Hao Wang, Stefan Menzel, Bernhard Sendhoff, Thomas Bäck

1

citations
Event-Triggered Safe Bayesian Optimization on Quadcopters
2023 arXiv (Cornell University) preprint Decision Sciences Advanced Bandit Algorithms Research Open access

Antonia Holzapfel, Paul Brunzema, Sebastian Trimpe

0

citations
Metareasoning in uncertain environments: a meta-BAMDP framework
2024 arXiv (Cornell University) preprint Decision Sciences Advanced Bandit Algorithms Research Open access

Prakhar Godara, Tilman Aleman, Angela J. Yu

0

citations
Early Stopping Bayesian Optimization for Controller Tuning
2025 arXiv (Cornell University) preprint Decision Sciences Advanced Bandit Algorithms Research Open access

Dominik Scheurenberg, Heike Vallery, Sebastian Trimpe

0

citations
Lipschitz Safe Bayesian Optimization for Automotive Control
2025 arXiv (Cornell University) preprint Decision Sciences Advanced Bandit Algorithms Research Open access

Johanna Menn, Pietro Pelizzari, Michael Fleps-Dezasse, Sebastian Trimpe

0

citations
Safety in safe Bayesian optimization and its ramifications for control
2025 arXiv (Cornell University) preprint Decision Sciences Advanced Bandit Algorithms Research Open access

Christian Fiedler, Johanna Menn, Sebastian Trimpe

0

citations
BayeSQP: Bayesian Optimization through Sequential Quadratic Programming
2026 RWTH Publications (RWTH Aachen) article Decision Sciences Advanced Bandit Algorithms Research Open access

Paul Brunzema, Sebastian Trimpe

0

citations