Digital Futures · Stockholm
Workshop on Learning, Optimization
and Decision-Making
Connecting ideas in learning and optimization
to make better decisions.
- Date
- Morning program
- Starts at 08:30
- Location
- Digital Futures, KTH
01 / About
From learning
to decisions.
How can learning and optimization help us make reliable decisions in a complex, uncertain world?
This workshop brings together researchers working at the intersection of machine learning, mathematical optimization and decision-making. Through invited talks and discussion, we will explore robust learning, optimization under uncertainty, and data-driven approaches to decision-making.
02 / Schedule
Workshop schedule.
All times are local to Stockholm.
Invited talks: 40 minutes + 5 minutes Q&A.
| Time | Session | Format |
|---|---|---|
| Brief welcome | Opening | |
| Navid Azizan Massachusetts Institute of Technology Title: Safe and Reliable Machine Learning under Hard Constraints | 40 + 5 minTalk + Q&A | |
| Daniel Kuhn EPFL Title: Brenier Meets Adversarial Training: Optimal Transport Geometry for Robust Learning | 40 + 5 minTalk + Q&A | |
| Fika breakA pause for coffee and conversation. | 20 min | |
| Fredrik D. Johansson Chalmers University of Technology Title: TBD | 40 + 5 minTalk + Q&A | |
| Student presentations Alice Harting Title: Learning locally stable neural ODEs and their regions of attraction Yulun Wu Title: An Adaptive-Basis View of Physics-Informed Neural Networks: From PDE Solvers to Network Identification | 45 minTwo presentations | |
| Closing remarks | Closing |
03 / Venue
Meet at
Digital Futures.
At the heart of the KTH campus
in Stockholm.
Osquars Backe 5, floor 2
100 44 Stockholm, Sweden
04 / Organizers
Organizers & contact.
Division of Decision and Control Systems
KTH Royal Institute of Technology