Interactive Optimization and Learning

The IOL research lab is dedicated to exploring the intersection of mathematical optimization and machine learning, with a focus on developing innovative techniques for learning and optimization. By integrating these two fields, we aim to create new approaches to solving complex problems that leverage the strengths of both optimization and machine learning.

Our group is located both at the Mathematical Optimization research group at the Technische Universität Berlin (TUB) and in the AI in Society, Science, and Technology (AIS²T) department at the Zuse Institute Berlin (ZIB). We are also part of the Berlin mathematics research center MATH+ as well as the Berlin Mathematical School (BMS).

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Zuse Institute

Takustraße 7
14195 Berlin
www.zib.de
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Technische Universität

Str. des 17. Juni 136
10587 Berlin
www.tu.berlin

Upcoming seminar talks


Ronald de Wolf (QuSoft, CWI and University of Amsterdam)
Quantum Algorithms for Optimization
@ Zuse Institute Berlin (ZIB), Room 2006 (Seminar Room)


Publication highlights

    Software repositories

    All our publically accessible software repositories are available on GitHub. We have a list of actively maintained repositories:

    We are also actively involved in the development of the SCIP Optimization Suite at ZIB and its interfaces to other programming languages: