Safe Bayesian Optimization for Uncertain Correlation Matrices in Linear Models of Co-Regionalization
Jannis Lübsen, Annika Eichler, "Safe Bayesian Optimization for Uncertain Correlation Matrices in Linear Models of Co-Regionalization." arXiv, 2026.
CV
Education
- Ph.D in Version Control Theory, GitHub University, 2018 (expected)
- M.S. in Jekyll, GitHub University, 2014
- B.S. in GitHub, GitHub University, 2012
Work experience
- Spring 2024: Academic Pages Collaborator
- GitHub University
- Duties includes: Updates and improvements to template
- Supervisor: The Users
- Fall 2015: Research Assistant
- GitHub University
- Duties included: Merging pull requests
- Supervisor: Professor Hub
- Summer 2015: Research Assistant
- GitHub University
- Duties included: Tagging issues
- Supervisor: Professor Git
Skills
- Skill 1
- Skill 2
- Sub-skill 2.1
- Sub-skill 2.2
- Sub-skill 2.3
- Skill 3
Publications
Robust Nonlinear System Identification in Reproducing Kernel Hilbert Spaces via Scenario Optimization
Jannis Lübsen, Annika Eichler, "Robust Nonlinear System Identification in Reproducing Kernel Hilbert Spaces via Scenario Optimization." arXiv, 2026.
Data-Driven Feedback Optimization for Particle Accelerator Application
Christian Hespe, Jan Kaiser, Jannis Lübsen, Frank Mayet, Matthias Scholz, Annika Eichler, "Data-Driven Feedback Optimization for Particle Accelerator Application." at - Automatisierungstechnik, 2025.
An Analysis of Safety Guarantees in Multi-Task Bayesian Optimization
Jannis Luebsen, Annika Eichler, "An Analysis of Safety Guarantees in Multi-Task Bayesian Optimization." arXiv, 2025.
Bayesian Optimization Algorithms for Accelerator Physics
Ryan Roussel, Auralee Edelen, Tobias Boltz, Dylan Kennedy, Zhe Zhang, Fuhao Ji, Xiaobiao Huang, Daniel Ratner, Andrea Garcia, Chenran Xu, Jan Kaiser, Angel Pousa, Annika Eichler, Jannis Lübsen, Natalie Isenberg, Yuan Gao, Nikita Kuklev, Jose Martinez, Brahim Mustapha, Verena Kain, Christopher Mayes, Weijian Lin, Simone Liuzzo, Jason St., Matthew Streeter, Remi Lehe, Willie Neiswanger, "Bayesian Optimization Algorithms for Accelerator Physics." Phys. Rev. Accel. Beams, 2024.
Towards Safe Multi-Task Bayesian Optimization
Jannis Lübsen, Christian Hespe, Annika Eichler, "Towards Safe Multi-Task Bayesian Optimization." In the proceedings of Proceedings of the 6th Annual Learning for Dynamics & Control Conference, 2024.
A Safe Bayesian Optimization Algorithm for Tuning the Optical Synchronization System at European XFEL
Jannis Lübsen, Maximilian Schütte, Sebastian Schulz, Annika Eichler, "A Safe Bayesian Optimization Algorithm for Tuning the Optical Synchronization System at European XFEL." In the proceedings of 22nd IFAC World Congress, 2023.
Talks
Conference Proceeding talk 3 on Relevant Topic in Your Field
Conference proceedings talk at Testing Institute of America 2014 Annual Conference, Los Angeles, CA, USA
Talk 2 on Relevant Topic in Your Field
Talk at London School of Testing, London, UK
Tutorial 1 on Relevant Topic in Your Field
Tutorial at UC-Berkeley Institute for Testing Science, Berkeley, CA, USA
Talk 1 on Relevant Topic in Your Field
Talk at UC San Francisco, Department of Testing, San Francisco, CA, USA
Teaching
Service and leadership
- Currently signed in to 43 different slack teams