Safe exploration in reproducing kernel Hilbert spaces
A. Tokmak, K.G. Krishnan, T.B. Schön, D. Baumann. "Safe exploration in reproducing kernel Hilbert spaces". In: International Conference on Artificial Intelligence and Statistics (2025).
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
Automatic nonlinear MPC approximation with closed-loop guarantees
A. Tokmak, C. Fiedler, M. N. Zeilinger, S. Trimpe, and J. Köhler. “Automatic nonlinear MPC approximation with closed-loop guarantees”. In: IEEE Transactions on Automatic Control (2025).
PACSBO: Probably approximately correct safe Bayesian optimization
A. Tokmak, T.B. Schön, D. Baumann. "PACSBO: Probably approximately correct safe Bayesian optimization". In: Symposium on Systems Theory in Data and Optimization (2024).
Talks
Approximate MPC with kernel-based methods
Poster at Finnish AI Day 2023, Espoo, Finland
Approximate MPC with kernel-based methods
Poster at ELLIS Doctoral Symposium 2023, Helsinki, Finland
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
Teaching
Service and leadership
- Currently signed in to 43 different slack teams