Program
The workshop booklet you find here.
| 9:15 - 9:30 | Opening and welcome session |
| 9:30 - 10:15 |
Prof. Dr. Daniel Kuhn Wasserstein distributionally robust optimization: theory and applications in machine learning |
| 10:15 - 10:45 | Coffee break |
| 10:45 - 11:30 |
Prof. Dr. Georg Pflug Model ambiguity in multistage decision making under uncertainty |
| 11:30 - 12:15 |
Prof. Dr. Alois Pichler Dynamic equations in stochastic optimization |
| 12:15 - 13:45 | Lunch |
| 13:45 - 14:30 |
Prof. Dr. Rüdiger Schultz Building stochastic programming theory and algorithms – Powered by algebra |
| 14:30 - 15:15 |
Prof. Dr. Anita Schöbel Multiobjective robust optimization |
| 15:15 - 15:45 | Coffee break |
| 15:45 - 16:30 |
Prof. Dr. Joachim M. Buhmann Robust algorithmics: an information theoretic approach to algorithm validation |
| 18:00 | Wine tasting |
| 19:30 | Conference dinner |
| 9:30 - 10:15 |
Prof. Dr. Thomas Hamacher Modelling decentral power systems: a methodological comparison |
| 10:15 - 10:45 | Coffee break |
| 10:45 - 11:30 |
Dr. Benedikt Hanke Uncertainty on all levels of energy systems |
| 11:30 - 12:15 |
Dr. He Huang Renewables PPA marketing as a multi-stage optimisation problem under uncertainty - a practitioners’ view |
| 12:15 - 13:45 | Lunch break |
| 13:45 - 14:30 |
Christian Füllner Cut-sharing in stochastic dual dynamic programming |
| 14:30 | Coffee break and end of conference |