Program Lunteren 2020
| Monday January 13, 2020 | |
|---|---|
| 10.15 | Registration |
| 10.50 | Opening |
| 11.00 - 11.45 | Ton Dieker:
QPLEX: A next-generation methodology for stochastic network analysis, Part 1
Abstract of the Presentation |
| 12.00 - 12.45 | Virginia Vassilevska Williams:
Fine-Grained Algorithms and Complexity
Abstract of the Presentation |
| 12.45 | Lunch |
| 14.30 - 16.00 | Parallel sessions PhD students |
| 16.30 - 17.15 | Andrea Lodi:
Exact Combinatorial Optimization with Graph Convolutional Neural Networks Abstract of the Presentation |
| 17.15 - 17.45 | Farewell old LNMB director and appointment new LNMB director |
| 18.00 | Dinner |
| 20.00 | Meeting members LNMB |
| 20.00 | Informal get together PhD students LNMB |
| 21.00 - 22.00 | Borrel to welcome the new director of the LNMB |
| Tuesday January 14, 2020 | |
|---|---|
| 09.00 - 09.45 | Bernhard von Stengel :
Progress and Challenges in Computing Nash Equilibria, Part 1
Abstract of the Presentation |
| 10.15 - 11.00 |
Ton Dieker:
QPLEX: A next-generation methodology for stochastic network analysis, Part 2
Abstract of the Presentation |
| 11.15 - 12.00 | Virginia Vassilevska Williams :
Limitations on All Known (and Some Unknown) Approaches to Matrix Multiplication
Abstract of the Presentation |
| 12.00-12.15 | Presentation PhD diplomas LNMB |
| 12.15 | Lunch |
| 14.00 - 16.00 | Parallel sessions PhD students - Program will follow later |
| 16.30 - 17.15 | Andrea Lodi:
Tactical Planning by Machine Learning Abstract of the Presentation PDF-file of the Presentation; |
| 17.30 - 18.15 | Bernhard von Stengel :
Progress and Challenges in Computing Nash Equilibria, Part 2
Abstract of the Presentation |
| 18.30 | Dinner |
| 20.30 | Meeting PhD students LNMB |
| Wednesday January 15, 2020, 10.00-17.00 NGB/LNMB Seminar "Back to school, learn about the latest developments in Operations Research" Topic: Optimization for and with Machine Learning | |
|---|---|
| 09.30 - 10.00 | Registration and coffee |
| 10.00 - 10.10 | Opening by the chairperson Albert Wagelmans (Erasmus University Rotterdam) |
| 10.10 - 10.55 | Optimisation strategies for machine learning - harnessing inexactness
Speaker: Tristan van Leeuwen (Utrecht Universteit) Abstract of the Presentation PDF-file of the presentation |
| 10.55 - 11.15 | Coffee/tea |
| 11.15 - 12.00 | The optimization behind deep neural networks Speaker: Marleen Balvert (Tilburg University) Abstract of the Presentation PDF-file of the presentation |
| 12.00 - 13.30 | Lunch |
| 13.30 - 14.15 | On the interplay between Discrete Optimization and Machine Learning
Speaker:
Andrea Lodi (Polytechnique Montréal)
Abstract of the Presentation PDF-file of the Presentation |
| 14.15 - 15.00 | Programming by Optimisation: Automated algorithm configuration, selection and beyond
Speaker: Holger Hoos (Leiden University) Abstract of the Presentation |
| 15.00 - 15.15 | Coffee/tea |
| 15.15 - 16.00 | Robustness in Machine Learning
Speaker: Taylan Cemgil (DeepMind UK, Bogazici University) Abstract of the Presentation |
| 16.00 - 16.45 | Operations Research + Machine Learning for the design of future offshore wind farms
Speaker: Martina Fischetti (Vattenfall BA Wind) Abstract of the Presentation PDF-file of the Presentation |
| 16.45 - 16.50 | Closing |
| 16.50 - 18.00 | Drinks |