Please save the date September 29, 2021, for a one day workshop on Machine Learning for Optimization. Details on the location will be published in due course.
|Date||29 September 2021|
We kindly invite you for a one day workshop on Machine Learning for Optimization.
Seven speakers (five from the industry and two from the academia), each in a 45-minute talk, will provide 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 would be an opportunity to make room for new industrial/academic collaborations.
Our confirmed excellent speakers are (academia):
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)
9:00-9:25: Doors open
9.30-10.15: Ilker Birbil (University of Amsterdam)
10:15-11:00: Seppo Pieterse, Willem Feijen (Quintiq/Dassault Systemes/CWI)
11:00-11:15: Coffee break
11:15-12:00: Max Snijders, Max Barkhausen (BCG Gamma)
12:00-13:00: Lunch break
13:00-13:45: Herke van Hoof (University of Amsterdam)
13:45-14:30: Joaquim Gromicho (ORTEC)
14:30-15:00: Coffee break
15:00-15:45: Guillaume Baquiast (QuantumBlack)
15:45-16:30: Diederik Fokkema, Naser Asghari (ING)
This workshop will be organised in a hybrid setting in the Hybrid Learning Theatre of the Amsterdam Business School. The theatre can host up to 40 people (current status 03-09-2021). To participate in this meeting, please register through the link below. In due course the organising committee will make a selection of participants who will be invited to join on-site and who will be invited to join online, in case there will be more registrations than 40. Those who will participate via a digital meeting will receive a zoom-video link a few days before the meeting by email. For general inquiries, please send an email to firstname.lastname@example.org.
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 OPTIMAL.uva.nl and the events calendar.