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Program
The program page offers the following functionalities: you can browse the full program or a specific time slot in the schedule. On different places on the site, you have the possibility to add sessions to your own personalized program. You can always access it through the «My Program» link in the menu. Note that this feature is only available if you are logged in. You can also export your personal program as a calendar file to import in your agenda.
Due to heavy traffic on the site, we had to disable the buttons to add/remove sessions on this page to keep a reasonable response time. To add/remove a session, you must enter the session page (by clicking on the title). We are sorry for the inconvenience. Alternatively, we strongly encourage you to use our Progressive Web App (compatible with all devices).
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Popular sessions
Tuesday, 16:30-17:30
TE-01: William Cook
Stream: Plenaries
Room: O'Reilly Hall
Chair(s):
M. Grazia Speranza
Wednesday, 16:30-17:30
WE-01: Dick den Hertog
Stream: Plenaries
Room: O'Reilly Hall
Chair(s):
Luis Gouveia
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What every OR practitioner should know about Robust Optimization
Dick den Hertog
Sunday, 17:30-19:00
SA-01: Opening Session
Stream: Opening and Closing
Room: O'Reilly Hall
Chair(s):
Seán McGarraghy, Luis Gouveia
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Opening Session
Luis Gouveia, Seán McGarraghy
Monday, 16:30-17:30
ME-01: Ulrike Reisach
Stream: Plenaries
Room: O'Reilly Hall
Chair(s):
Seán McGarraghy
Wednesday, 17:45-19:00
WF-01: Closing Session
Stream: Opening and Closing
Room: O'Reilly Hall
Chair(s):
Seán McGarraghy, Luis Gouveia
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Closing Session
Seán McGarraghy, Luis Gouveia
Wednesday, 10:30-12:00
WB-03: Tutorial: Optimizing with Python
Stream: Practice of OR (Making an Impact)
Room: Q106
Chair(s):
Joaquim Gromicho
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Tutorial: optimizing with python
Joaquim Gromicho
Tuesday, 8:30-10:00
TA-16: Machine Learning and Combinatorial Optimization I
Stream: Combinatorial Optimization II
Room: Theatre A
Chair(s):
Roberto Montemanni, Matteo Salani
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A survey of machine learning for combinatorial optimization
Gianni A. Di Caro -
Highway networks to solve medium-large TSP instances
Umberto Junior Mele, Roberto Montemanni -
Machine Learning and Monte Carlo sampling for the Probabilistic Orienteering Problem
Roberto Montemanni, Federico D Ignazio, Xiaochen Chou, Luca Maria Gambardella
Monday, 8:30-10:00
MA-30: Integrating Machine Learning in Optimization Methods
Stream: Data Science Meets Optimization
Room: C007
Chair(s):
Kevin Tierney
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A Machine Learning Approach to increase Production Plan Stability
Tim Lauer -
Advancing Project Management through the Integration of Knowledge Graph and Machine Learning Technologies
Nikos Karacapilidis, Nikos Kanakaris, George Kournetas, Vassilis Tampakas -
Imitation or Understanding? Deep Learning to the Test on Constraint Satisfaction Problems
Andrea Galassi, Michele Lombardi, Paola Mello, Michela Milano -
Deep Learning Assisted Heuristic Tree Search
Kevin Tierney, André Hottung
Monday, 17:45-19:00
MF-01: Women in OR – The Equality, Diversity and Inclusion Agenda: How do we weigh a Tonne of Feathers?
Stream: Women in OR
Room: O'Reilly Hall
Chair(s):
Paula Carroll
Tuesday, 14:30-16:00
TD-01: Bernd Bischl
Stream: Tutorials
Room: O'Reilly Hall
Chair(s):
Cristinca Fulga
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Bayesian Optimization and Automatic Machine Learning
Bernd Bischl
Wednesday, 12:30-14:00
WC-01: Ivana Ljubic
Stream: Tutorials
Room: O'Reilly Hall
Chair(s):
Markus Leitner
-
From Game Theory to Graph Theory: A Bilevel Journey
Ivana Ljubic
Monday, 14:30-16:00
MD-03: From Data to Decisions. The challenges of the digitalization era
Stream: Practice of OR (Making an Impact)
Room: Q106
Chair(s):
Matteo Pozzi
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From Data to Decisions. The challenges of the digitalization era
Raffaele Maccioni
Tuesday, 10:30-12:00
TB-01: Holger Hoos
Stream: Tutorials
Room: O'Reilly Hall
Chair(s):
Christina Büsing
Tuesday, 10:30-12:00
TB-30: Optimization of Machine Learning Models
Stream: Data Science Meets Optimization
Room: C007
Chair(s):
Dimitri Papadimitriou
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Feature Selection Using Variable Neighborhood Search and K-Nearest Neighbors Algorithm
GEN-HAN WU, Yung-Hsun Tsai -
Top-N food item recommender system based on mutual information and entropy weighting
Ante Ivancic, Argyris Kanellopoulos -
Dual Decomposition for Ensuring Data Privacy in Capacity Sharing
Utku Karaca, Ilker Birbil -
Robust Optimization of Neural Network Models
Dimitri Papadimitriou
Tuesday, 12:30-14:00
TC-01: Claudia D'Ambrosio
Stream: Tutorials
Room: O'Reilly Hall
Chair(s):
Stéphane DAUZERE-PERES
-
Challenging Optimization Problems in Energy Production and Transportation
Claudia D'Ambrosio
Monday, 10:30-12:00
MB-30: The Role of Mathematical Optimization in Data Science I
Stream: Data Science Meets Optimization
Room: C007
Chair(s):
Vanesa Guerrero
-
Combinatorial Optimization for Image Segmentation and Large Scale Data Mining
Dorit Hochbaum -
Mixed Integer Nonlinear Programming for Feature Selection in DEA
Sandra Benítez-Peña, Peter Bogetoft, Dolores Romero Morales -
Sparsity and Performance Enhanced Markowitz Portfolios Using Second-Order Cone Programming
Noam Goldberg, Ishy Zagdoun -
Optimal Arrangements of Hyperplanes for Multiclass SVM-Based Classification
Víctor Blanco, Alberto Japón Sáez, Justo Puerto
Monday, 12:30-14:00
MC-03: Operations Research Meets Machine Learning: highlights from the 2nd conference of the EWG-POR
Stream: Practice of OR (Making an Impact)
Room: Q106
Chair(s):
Sofiane Oussedik
Monday, 10:30-12:00
MB-03: fast and furious
Stream: Practice of OR (Making an Impact)
Room: Q106
Chair(s):
Ruth Kaufman
-
Fast and furious: lightning talks
Ruth Kaufman
Wednesday, 12:30-14:00
WC-03: Tutorial: let the data do the talking
Stream: Practice of OR (Making an Impact)
Room: Q106
Chair(s):
Jasper Lodder
-
Tutorial: let the data do the talking
Jasper Lodder
Monday, 8:30-10:00
MA-01: Sally Brailsford
Stream: Tutorials
Room: O'Reilly Hall
Chair(s):
Inmaculada Rodríguez Martín
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Introduction to hybrid simulation
Sally Brailsford