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
e-mail
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