This page is about WASP Mathematics. You can read about our two research groups:
- Mathematics and algorithms for intelligent decision-making
- Optimisation for machine learning
WASP at Department of Mathematics (MAI)
Mathematics and algorithms for intelligent decision-making
There are many benefits of using mathematics and algorithms to aid decision-making in complex settings. Our main focus is on discrete optimisation for decision problems that aim to schedule or allocate resources.
In our research projects, we both find new ways to address decision problems by optimisation and develop new methods for solving them.
Read more about the research
Optimisation for machine learning
Our group focuses on developing more efficient algorithms for machine learning.
Continuous optimization plays a central role in modern machine learning. Every learning process requires solving a high-dimensional minimization problem. The faster we solve it, the fewer resources (e.g., energy, time, or money) we waste.
Current state-of-the-art algorithms include some heuristics and often require a lot of tuning. The theoretical justification of these heuristics and the developing of new, more efficient algorithms is the main focus of our group.
