Machine Learning for Optimization

Solving hard optimization problems in real-world applications using data-driven approaches, combining learning and optimization.

Highlights

2022

Paper at ECML-PKDD 2022

Invited talk at SMAI-MODE 2022

Related Content

blank

Optimization problems are ubiquitous in many fields such as robotics, finance, logistics, transportation and planning. In real-world applications, optimization problems are generally hard, non-linear, discrete and/or large scale. State-of-the-art methods rely on human expertise to design specialized heuristics for different generic classes of problems and settings. They cannot leverage the specifics of the distribution of problem instances as they are repeatedly encountered in practice in a given context, although that information is usually easy to collect and made available for processing.

We are interested in data-driven optimization, and in particular learning underlying patterns in the problem data to be exploited in the optimization process. Our research topics are at the intersection of machine learning and (stochastic) optimization, spanning end-to-end learning, heuristic learning and hybrid methods that combine learning components and classical approaches. While solutions produced by ad-hoc solvers may be used as supervision signals, this often comes at a cost. We are interested in reinforcement learning techniques as a powerful framework for learning without relying on the availability of solved instances.

Recent publications

Machine Learning for Optimization team:

Approved
Darko Drakulic
Approved
Sofia Michel
Team Lead
Approved
Tomi Silander
Approved
Arnaud Sors

This web site uses cookies for the site search, to display videos and for aggregate site analytics.

Learn more about these cookies in our privacy notice.

blank

Cookie settings

You may choose which kind of cookies you allow when visiting this website. Click on "Save cookie settings" to apply your choice.

FunctionalThis website uses functional cookies which are required for the search function to work and to apply for jobs and internships.

AnalyticalOur website uses analytical cookies to make it possible to analyse our website and optimize its usability.

Social mediaOur website places social media cookies to show YouTube and Vimeo videos. Cookies placed by these sites may track your personal data.

blank