From

Institution

Field

Type

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

Reset

Papers matching “high-dimensional problems” 12

Sort: Relevance Cited Newest Oldest Fwci Patents ⇩ CSV

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

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
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
Detecting changes in the second moment structure of high-dimensional sensor-type data in a K-sample setting
2020 Sequential Analysis article Decision Sciences Advanced Statistical Process Monitoring

Nils Mause, Ansgar Steland

1

citations
Detecting Changes in the Second Moment Structure of High-Dimensional Sensor-Type Data in a $K$-Sample Setting
2020 arXiv (Cornell University) preprint Decision Sciences Advanced Statistical Process Monitoring Open access

Nils Mause, Ansgar Steland

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
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
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
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
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
A greedy sensor selection algorithm for hyperparameterized linear Bayesian inverse problems with correlated noise models
2023 Journal of Computational Physics article Decision Sciences Optimal Experimental Design Methods Open access

Nicole Aretz, Peng Chen, Denise Degen, Karen Veroy

7

citations
A Greedy Sensor Selection Algorithm for Hyperparameterized Linear Bayesian Inverse Problems
2023 arXiv (Cornell University) preprint Decision Sciences Optimal Experimental Design Methods Open access

Nicole Aretz, Peng Chen, Denise Degen, Karen Veroy

0

citations
Reliability analysis of complex systems using subset simulations with Hamiltonian Neural Networks
2024 Structural Safety article Decision Sciences Probabilistic and Robust Engineering Design Open access

Denny Thaler, Somayajulu L. N. Dhulipala, Franz Bamer, Bernd A. Markert, Michael D. Shields

24

citations

12 results