Program

 

(PROVISIONAL)

 

June 14 June 15 June 16 June 17 June 18

9:00-10:30

Lecture MFG1

9:00-10:30

Lecture MFG3

9:00-10:30

Lecture PA1

9:00-10:30

Lecture PA1

9:00-10:30 

Lecture SL2

Coffee break Coffee break Coffee break Coffee break Coffee break

11:00-12:30

Paper session

11:00-12:30

Paper session

11:00-12:30

Paper session

11:00-12:30

Paper session

11:00-12:30

Paper session

Lunch Lunch Lunch Lunch Lunch

14:30-16:00

Lecture MFG2

14:30-16:00

Practitioners Session 2

14:30-16:00

Lecture PA2

14:30-16:00

Lecture SL1

14:30-16:00

Lecture SL3

Coffee break Coffee break Coffee break Coffee break Coffee break

16:30-18:00

Practitioners Session 1

16:30-18:00

Practitioners Session 3

16:30-18:00

Spare time

16:30-18:00

Practitioners Session 3

16:30-18:00

Spare time

Dinner Dinner Dinner Dinner Dinner

 

Confirmed sessions:

Lectures:

An Introduction to Mean-Field Games (4h30)- by Pr. Pierre Cardaliaguet (Université Paris-Dauphine)
A Course on Principal-Agent Problems (4h30) - by Pr. Dylan Possamaï (ETH Zurich)
A Course on Reinforcement Learning / Statistical Learning (4h30), by Pr. Romuald Elie (Deepmind & Université Gustave Eiffel)

Expert practitioners:

A lecture on Communication Networks (1h30) by Pr. Merouane Debbah (Centrale Supelec & Huawei Technologies)
A lecture on Distributed Optimisation for Decentralized Electrical Systems (1h30) by Nadia Oudjane (EDF R&D)
A lecture on Quantitative Finance (1h30) by Pierre Henri-Labordère (Natixis)

Other confirmed speakers:
Charles Bertucci, CNRS Researcher at CMAP, Ecole Polytechnique
Mathieu Lauriere, Postdoctoral Research Associate at Princeton University
Giovanni Conforti, Assistant Professor in Probability at CMAP, École Polytechnique
Erhan Bayraktar, Susan M. Smith Professor of Mathematics, University of Michigan
Daniel Bartl, Post-doctoral researcher, University of Vienna
Ludovic Tangpi, Assistant professor, Princeton University (ORFE Dpt.)

 

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