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PROGRAM Lunteren 2020
Program Lunteren 2020
| Monday January 13, 2020 |
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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
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| 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
Program
|
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09.30 - 10.00
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Registration and coffee |
|
10.00 - 10.10
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Opening by the chairperson Albert Wagelmans (Erasmus University Rotterdam) |
|
10.10 - 10.55
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Optimisation strategies for machine learning - harnessing inexactness
Speaker:
Tristan van Leeuwen (Utrecht Universteit)
Abstract of the Presentation
PDF-file of the presentation
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10.55 - 11.15
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Coffee/tea
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|
11.15 - 12.00
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The optimization behind deep neural networks
Speaker:
Marleen Balvert (Tilburg University)
Abstract of the Presentation
PDF-file of the presentation
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12.00 - 13.30
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Lunch
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13.30 - 14.15
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On the interplay between Discrete Optimization and Machine Learning
Speaker:
Andrea Lodi (Polytechnique Montréal)
Abstract of the Presentation
PDF-file of the Presentation
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|
14.15 - 15.00
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Programming by Optimisation: Automated algorithm configuration, selection and beyond
Speaker:
Holger Hoos (Leiden University)
Abstract of the Presentation
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15.00 - 15.15
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Coffee/tea
|
|
15.15 - 16.00
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Robustness in Machine Learning
Speaker:
Taylan Cemgil (DeepMind UK, Bogazici University)
Abstract of the Presentation
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16.00 - 16.45
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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
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16.45 - 16.50
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Closing |
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16.50 - 18.00
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Drinks |
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