Autumn School on Constrained Optimization and Machine Learning
October 9 / 8:00 - October 11 / 16:00
The Research Training Group on Algorithmic Optimization proudly announces its eighth Autumn School from October 9 – 11, 2024.
This year’s focus will be on Constrained Optimization and Machine Learning
In today’s rapidly evolving technological landscape, the intersection of constrained optimization and machine learning is gaining immense significance. As we tackle intricate real-world challenges, the synergy between these two domains gets more and more important. While unconstrained optimization methods have predominantly been employed in machine learning so far, constraints are becoming prevalent in a wide array of applications. This school offers a unique opportunity to deepen comprehension and delve into the latest advancements at the interface of the two fields. Thus, participants will acquire invaluable skills to confront the challenges of tomorrow.
Confirmed Speakers:
Emilio Carrizosa (University of Sevilla)
Tim Hoheisel (McGill University)
Andrea Lodi (Cornell University)
Organizers:
Jan Pablo Burgard (Trier University)
Martin Schmidt (Trier University)
Volker Schulz (Trier University)
Schedule, Location and Travel Information:
The workshop is scheduled to begin on Wednesday, October 9, 2024 and ending on Friday, October 11, 2024, in the afternoon. The detailed schedule will follow later.
The workshop will take place in Building E located on Campus I at Trier University.
For travel tips on how to get to Trier, please check here;
Instructions on how to find Campus I are located here.
Registration information (Registration will open soon)