Back to school, learn about the latest developments in Operations Research

Jointly organized by the Landelijk Netwerk Mathematische Besliskunde (LNMB)
and the Nederlands Genootschap Besliskunde (NGB)

Conference Center “De Werelt”, in Lunteren, on January 15, 2020.

Topic 2020: Optimization for and with Machine Learning

This seminar is aimed at both practitioners and academics who are interested in the latest developments in OR. Besides an interesting program, the seminar offers an excellent opportunity to meet a large part of the Dutch OR community.
After the very successful seminars "Is Data Science a game changer for Operations Research?" (2018) and "Deep Learning and its impact on Operations Research" (2019), the 2020 seminar will focus on the interaction between optimization and machine learning. Several experts will address questions such as

What is the role of optimization in machine learning?
How can optimization benefit from machine learning?
What is the potential impact of automated algorithm design methods?
What is the role of optimization in improving the robustness of machine learning systems?
Can machine learning be used to estimate the optimal value of complex real-life optimization problems?

The speaker of the seminar are:

Marleen Balvert (Tilburg University)
Taylan Cemgil (Deep Mind UK)
Martina Fischetti (Vattenfall BA Wind)
Tristan van Leeuwen (Utrecht University)
Holger Hoos (Leiden University)
Andrea Lodi (Polytechnique Montreal)

More information on the invited speakers and the programme will follow in the next weeks.

The conference language is English. Registration is possible via the Seminar On-line Registration Form. The conference fee is 100 Euro for LNMB and NGB members, and 150 Euro for others. The conference fee covers lunch, coffee, tea, and the drinks.

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
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 (tutorial) 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 (tutotial) Speaker: Andrea Lodi (Polytechnique Montreal) 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

The seminar is the 18th annual seminar, following the previous successful seminars:

E-Commerce & Operations Research (2001)
Capacity Management - How Operations Research models support decision makers (2002)
New developments in Operations Research software (2003)
On-line methods: Challenges for OR in a real-time world (2004)
Mathematical Models for Financial Optimization (2005)
Operations Research and Health Care (2006)
Operations Research and Public Transportation (2007)
Operations Research and Energy (2008)
Operations Research and Traffic (2009)
Operations Research and Health Care (2010)
Operations Research in Supply Chain Management and Marketing (2011)
Operations Research in Supply Chain Management and Humanitarian Aid (2012)
Back to school: Robust Optimization and Mixed Integer Nonlinear Programming (2013)
Back to school: Constraint Programming and Multi Objective Optimisation (2014)
Back to school: Operations Research in a Big Data age(2015)
Back to school: Developments and applications of Operations Research in the area of Networks (2016)
Back to school: Developments and applications in the area of Game Theory (2017)
Back to school: Is Data Science a game changer for Operations Research? (2018)
Back to school: Deep Learning and its impact on Operations Research (2019)