Joint ACP, ANITI, CNRS GDR IA, GDR RO Autumn school on Combinatorial Optimization, Constraint Programming and Machine Learning - Sciencesconf.org

Week Mon. 23 Tue. 24 Wed. 25 Thu. 26 Fri. 27 List

	Mon. 23	Tue. 24	Wed. 25	Thu. 26	Fri. 27
10:00 11:00 12:00 13:00 14:00 15:00 16:00 17:00 18:00 19:00	Introduction to the CP tutorial & hackaton day (fully online) 10:30 - 11:00 (30min) Introduction to the CP tutorial & hackaton day (fully online) Organizing committee Constraint Programming Solver Technology - Mini CP Tutorial (fully online) 11:00 - 13:00 (2h) Constraint Programming Solver Technology - Mini CP Tutorial (fully online) Pierre Schaus Break 13:00 - 14:00 (1h) Break Constraint Programming Hackaton 14:00 - 19:00 (5h) Constraint Programming Hackaton Valentin Antuori, Julien Ferry, Emmanuel Hébrard, Louis Rivière, Tom Portoleau, Pierre Schaus	Welcome session 10:30 - 11:00 (30min) Welcome session Organizing Committee Integrating Machine Learning into state of the art Vehicle Routing Heuristics 11:00 - 13:00 (2h) Integrating Machine Learning into state of the art Vehicle Routing Heuristics Daniele Vigo Lunch break 13:00 - 14:30 (1h30) Lunch break Learning and solving Cost Function Networks : Algorithms in Theory and Practice - Part I 14:30 - 16:00 (1h30) Learning and solving Cost Function Networks : Algorithms in Theory and Practice - Part I Simon de Givry and Thomas Schiex Break 16:00 - 16:30 (30min) Break Learning and solving Cost Function Networks : Algorithms in Theory and Practice - Part II 16:30 - 18:30 (2h) Learning and solving Cost Function Networks : Algorithms in Theory and Practice - Part II Simon de Givry and Thomas Schiex	1st session: Principles of data science + practical: deep learning for digit recognition 11:00 - 13:00 (2h) 1st session: Principles of data science + practical: deep learning for digit recognition Tias Guns Lunch break 13:00 - 14:00 (1h) Lunch break 2nd Session: Learning from user and environment in combinatorial optimisation + practical: visual sudoku solving 14:00 - 15:30 (1h30) 2nd Session: Learning from user and environment in combinatorial optimisation + practical: visual sudoku solving Tias Guns CP Hackaton 2020 Prize Awarding 15:30 - 16:00 (30min) CP Hackaton 2020 Prize Awarding Valentin Antuori, Julien Ferry, Emmanuel Hébrard, Tom Portoleau, Louis Rivière, Pierre Schaus Break 16:00 - 16:30 (30min) Break Machine Learning Meets Automated Reasoning: Explainability, Fairness, Robustness and Model Learning 16:30 - 18:30 (2h) Machine Learning Meets Automated Reasoning: Explainability, Fairness, Robustness and Model Learning Joao Marques-Silva	Structured learning as a tool for Operations Research 11:00 - 13:00 (2h) Structured learning as a tool for Operations Research Axel Parmentier Lunch break 13:00 - 14:30 (1h30) Lunch break Constraint acquisition and declarative data mining - Part I 14:30 - 16:00 (1h30) Constraint acquisition and declarative data mining - Part I Nadjib Lazaar and Samir Loudni Break 16:00 - 16:30 (30min) Break Constraint acquisition and declarative data mining - Part II 16:30 - 18:00 (1h30) Constraint acquisition and declarative data mining - Part II Nadjib Lazaar and Samir Loudni	Experimental evaluation: Some good practices and pitfalls to avoid 11:00 - 13:00 (2h) Experimental evaluation: Some good practices and pitfalls to avoid Christine Solnon Lunch break 13:00 - 14:30 (1h30) Lunch break Some experiences of using Machine Learning for scheduling jobs in distributed systems 14:30 - 16:00 (1h30) Some experiences of using Machine Learning for scheduling jobs in distributed systems Denis Trystram Farewell session (meeting on discord https://discord.gg/mwdthvRuaN) 16:00 - 16:30 (30min) Farewell session (meeting on discord https://discord.gg/mwdthvRuaN) Organizing Committee