Markus Engelund Mathiasen

PhD Student
Computer Science, Aarhus University
markusm@cs.au.dk

About Me

I am an ambitious student currently doing my PhD in computer science at Aarhus University. I work in the research section Algorithms, Data and Artificial Intelligence with Professor Kasper Green Larsen as my supervisor. The PhD primarily focuses on learning theory where we try to achieve a better theoretical understanding of classic learning algorithms. In my spare time, I like doing competitive programming, honing my skills by solving and implementing a variety of challenging algorithmic problems.

If you are interested, you can find my CV here.


Publications

The Many Faces of Optimal Weak-to-Strong Learning

With: Mikael Møller Høgsgaard and Kasper Green Larsen.

Conference: Neural Information Processing Systems (NeurIPS 2024).

Improved Replicable Boosting with Majority-of-Majorities

With: Kasper Green Larsen and Clement Svendsen.

Conference: Algorithmic Learning Theory (ALT 2026).