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The workshop on Machine Learning for Optimization was held on September 29th, 2021 at the University of Amsterdam. Please find more dissemination from this workshop in this post.

Event details of Machine Learning for Optimization workshop
Date 29 September 2021
Time 09:00 -17:00

Workshop on Machine Learning and Optimization

The workshop on Machine Learning for Optimization was held on September 29th, 2021 at the University of Amsterdam. This workshop was organised in a hybrid setting in the Hybrid Learning Theatre of the Amsterdam Business School.


Krzysztof Postek (Delft University of Technology)Ilker Birbil (University of Amsterdam) and Dick den Hertog (University of Amsterdam)with the OPTIMAL consortium.


Seven speakers (five from the industry and two from the academia), each in a 45-minute talk, provided us with a compact overview of successes, failures and key challenges to be faced by the combination ML+Optimization. Also, the physically organised (and streamed online) workshop made the opportunity to make room for new industrial/academic collaborations.

Our excellent speakers where (academia):

Ilker Birbil (UvA)
Herke van Hoof (UvA)

and (industry):

Diederik Fokkema, Naser Asghari (ING)
Joaquim Gromicho (ORTEC, UvA)
Seppo Pieterse, Willem Feijen (Quintiq/Dassault Systemes/CWI)
Max Barkhausen, Max Snijders (BCG Gamma)
Guillaume Baquiast (McKinsey/QuantumBlack)

Programme of the day

9:00-9:25: Doors open
9:25-9:30: Welcome

9.30-10.15: Ilker Birbil (University of Amsterdam) - Optimization and Machine Learning: Overview and Current Research

10:15-11:00: Seppo Pieterse, Willem Feijen (Quintiq/Dassault Systemes/CWI) - Improving Solutions Using Machine Learning

11:00-11:15: Coffee break

11:15-12:00: Max Snijders, Max Barkhausen (BCG Gamma) - Branching on Autopilot. Scalable Network Scheduling Using Reinforcement Learning and LNS

12:00-13:00: Lunch break

13:00-13:45: Herke van Hoof (University of Amsterdam) - Learning New Heuristic for Combinatorial Problems
13:45-14:30: Joaquim Gromicho (ORTEC) - Machine Learning & Optimization @ORTEC

14:30-15:00: Coffee break

15:00-15:45: Guillaume Baquiast (QuantumBlack) - Optimise on Top of Machine Learning
15:45-16:30: Diederik Fokkema, Naser Asghari (ING) - Is Optimization Always Optimal?

16:30: Closing

Presentations and recordings

Please find the presentations and recordings of this meeting via the link below.


OPTIMAL Research project

The research project Optimization for and with Machine Learning (OPTIMAL) is an ENW-GROOT research project funded by NWO. It is a collaboration between researchers from Centrum Wiskunde & Informatica (CWI), Delft University of Technology (TU Delft) and the University of Amsterdam (UvA). It started in 2020 and will end in 2025. Research from this project will be shared in various events. For more information about this research project visit the project site and the events calendar.