we organize on October 5th at École des Ponts in Paris a workshop data driven combinatorial optimization.
https://axelparmentier.github.io/events/2023-DataDrivenCO/
Our goal is to bring together experts from the machine learning and operations research communities to discuss methodologies for data driven combinatorial optimization problems.
Registration is free but mandatory. We have room for only 30 participants. If you want to come, please do not wait too much before registering ( https://docs.google.com/forms/d/e/1FAIpQLSfSf2lDNsnoXGQJEYQXPN6o10_7nDAuGnq6o534S5ooeYaAgw/viewform?usp=sf_link )
We hope to see you on October 5th,
All the best,
Maximilian Schiffer and Axel Parmentier
Program
9:00 Coffee
9:25 Welcome address
9:30-11:00 Talks
* Tobias Sutter (University of Konstanz) Data-driven distributionally robust optimization: Classification of ambiguity sets.
* Jérôme Malick (University Grenoble Alps)
11:00-11:30 Coffee
11:30-13:00 Talks
* Maximilian Schiffer (Technische Universität München) and Axel Parmentier (École des Ponts). Joint talk on Combinatorial Optimization Enriched Machine Learning to Solve Dynamic Vehicle Routing Problems
* Louis Bouvier (École des Ponts)
* Tobias Enders (Technische Universität München)
13:00-14:30 Lunch
14:30-16:00 Talks
* Mathieu Blondel (Google) Fast, Differentiable and Sparse Top-k: a Convex Analysis Perspective.
* Dario Paccagnan (Imperial College) The Pick-to-Learn Algorithm: Empowering Compression for Tight Generalization Bounds and Improved Post-training Performance.
16:00-16:30 Coffee
16:30-17:30 Questions and Open Problems Organizers
Maximilian Schiffer and Axel Parmentier Sponsors
DAAO axis of GDR ROD
ROADEF
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