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  
Online user: 6 Privacy
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