Athens-Dortmund-Hamburg Workshop

We are pleased to announce a Workshop on Graphs, Networks, Optimization, and Statistical Inference to be held from March 2 to 6, 2026, in Perama, Greece.

The workshop focuses on the areas of random structures, sampling, learning theory, and complex networks in a broad sense. In the past few decades, the study of random structures has flourished in computer science and combinatorics, shedding light on the barriers that prevent algorithms from performing efficiently on average, and providing a natural framework for modeling evolving networks. The task of sampling lies at the heart of many algorithmic problems, often emerging as a key subroutine in both theoretical and practical applications. In recent years, the rapid development of learning theory and network science has brought renewed attention to these topics. Sampling now plays a central role in inference and optimization tasks, from training probabilistic models to studying dynamics on large networks. Moreover, random structures, apart from serving as intriguing high-dimensional distributions, they are increasingly incorporated into the design of neural networks to minimize bias and enhance robustness. We aim to bring together leading researchers from these communities across Europe to foster fruitful interactions and to spark new collaborations at the interface of combinatorics, probability, and learning theory.

Further information will follow soon.

Speakers:

t.b.a.

Organisers
Dimitris Achlioptas (University of Athens)
Petra Berenbrink (University of Hamburg)
Amin Coja-Oghlan (TU Dortmund)