Ingo Meise
My research focuses on Ensemble Learning, Statistical Learning Theory and Optimization. In particular, my goal is to improve the computational scalability of ensemble learning methods and to characerize its limitations mathematically using methods from discrete optimization. Also, I work on tight lower and upper bounds in the PAC (probably approximately correct) model.
📬 Contact
- office
- Room 3027 at ZIB
- meise (at) zib.de
- languages
- German and English
🎓 Curriculum vitae
- since 2024
- Researcher at ZIB
- 2020 to 2024
- Research Assistant at ZIB
- Jul 2024
- M.Sc. in Mathematics at TUB
- Feb 2023
- B.Sc. in Mathematics at TUB
💬 Talks and posters
Conference and workshop talks
- Nov 2024
- A Combinatorial Comparison of Boosting and Repeated Boosting
Annual Meeting, SPP Theoretical Foundations of Deep Learning, Tutzing
Research seminar talks
- Sep 2024
- A Comparison of Simple and Repeated Weighted Majority Voting
IOL Research Seminar (IOL), Berlin