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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 |
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