We are pleased to announce the workshop STOP 2026 – STructured OPtimization for Inverse and Learning Problems, which will take place at ENS de Lyon (France) from 29th September to 1st October 2026.
The workshop aims to bring together researchers working on structured and large-scale optimization, with a particular focus on the development of efficient algorithms exploiting the structure of the problems and their applications to inverse problems, imaging, scientific machine learning, and related areas. Topics include, among others:
- Inverse problems
- Multilevel optimization
- Stochastic optimization
- Scientific machine learning
- Matrix decompositions
- Reduced- and mixed-precision algorithms
Participation is free of charge (registration required). Submission are accepted until the 1st of September.
Prior to the workshop, on 28th September, Elisa Riccietti will give her Habilitation (HdR) defence entitled « Exploiting Hierarchical Structures in Numerical Optimization ».
More information, including the list of invited speakers and practical details for the workshop, is available on the conference website:
We would be grateful if you could share this announcement with colleagues and students who might be interested.
We hope to welcome many of you in Lyon!
Best regards,
The STOP 2026 Organizing Committee
—
Riccietti Elisa
ENS de Lyon
