Schedule (subject to changes)
Monday, November 23, 2020
Time |
Event |
(+)
|
10:30 - 11:00
|
Introduction to the CP tutorial & hackaton day (fully online) - Organizing committee |
|
11:00 - 13:00
|
Constraint Programming Solver Technology - Mini CP Tutorial (fully online) - Pierre Schaus |
|
13:00 - 14:00
|
Break |
|
14:00 - 19:00
|
Constraint Programming Hackaton - Valentin Antuori, Julien Ferry, Emmanuel Hébrard, Louis Rivière, Tom Portoleau, Pierre Schaus |
|
Tuesday, November 24, 2020
Time |
Event |
(+)
|
10:30 - 11:00
|
Welcome session - Organizing Committee |
|
11:00 - 13:00
|
Integrating Machine Learning into state of the art Vehicle Routing Heuristics - Daniele Vigo |
|
13:00 - 14:30
|
Lunch break |
|
14:30 - 16:00
|
Learning and solving Cost Function Networks : Algorithms in Theory and Practice - Part I - Simon de Givry and Thomas Schiex |
|
16:00 - 16:30
|
Break |
|
16:30 - 18:30
|
Learning and solving Cost Function Networks : Algorithms in Theory and Practice - Part II - Simon de Givry and Thomas Schiex |
|
Wednesday, November 25, 2020
Time |
Event |
(+)
|
11:00 - 13:00
|
1st session: Principles of data science + practical: deep learning for digit recognition - Tias Guns |
|
13:00 - 14:00
|
Lunch break |
|
14:00 - 15:30
|
2nd Session: Learning from user and environment in combinatorial optimisation + practical: visual sudoku solving - Tias Guns |
|
15:30 - 16:00
|
CP Hackaton 2020 Prize Awarding - Valentin Antuori, Julien Ferry, Emmanuel Hébrard, Tom Portoleau, Louis Rivière, Pierre Schaus |
|
16:00 - 16:30
|
Break |
|
16:30 - 18:30
|
Machine Learning Meets Automated Reasoning: Explainability, Fairness, Robustness and Model Learning - Joao Marques-Silva |
|
Thursday, November 26, 2020
Time |
Event |
(+)
|
11:00 - 13:00
|
Structured learning as a tool for Operations Research - Axel Parmentier |
|
13:00 - 14:30
|
Lunch break |
|
14:30 - 16:00
|
Constraint acquisition and declarative data mining - Part I - Nadjib Lazaar and Samir Loudni |
|
16:00 - 16:30
|
Break |
|
16:30 - 18:00
|
Constraint acquisition and declarative data mining - Part II - Nadjib Lazaar and Samir Loudni |
|
Friday, November 27, 2020
Time |
Event |
(+)
|
11:00 - 13:00
|
Experimental evaluation: Some good practices and pitfalls to avoid - Christine Solnon |
|
13:00 - 14:30
|
Lunch break |
|
14:30 - 16:00
|
Some experiences of using Machine Learning for scheduling jobs in distributed systems - Denis Trystram |
|
16:00 - 16:30
|
Farewell session (meeting on discord https://discord.gg/mwdthvRuaN) - Organizing Committee |
|
|