This event is part of Distributed Solutions to Complex Societal Problems View Details

Introduction to Distributed Solutions

Description

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This conference will consist of three series of lectures, the aim of which is to present the main issues at stake in the analysis of distributed solutions to complex societal problems and to describe some mathematical tools to handle these questions. Applications range from collective behavior in economy and finance to crowd analysis and the spread of diseases, and from machine learning to stochastic optimization and artificial intelligence.

Organizers

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P C
Pierre Cardaliaguet Mathematics, Université Paris-Dauphine and PSL
R C
René Carmona Operations Research and Financial Engineering, Princeton University

Speakers

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F B
Francis Bach INRIA, Ecole Normale Superieure, PSL Research University
M D
Mérouane Debbah CentraleSupelec and Technology Innovation Institute in Abu Dhabi
P L
Pierre-Louis Lions Collège de France

Schedule

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Monday, October 4, 2021
9:00-10:00 CDT
On the convergence of gradient descent for wide two-layer neural networks (Part 1)

Online only

Speaker: Francis Bach (INRIA, Ecole Normale Superieure, PSL Research University)

10:30-11:30 CDT
On the convergence of gradient descent for wide two-layer neural networks (Part 2)

Online only

Speaker: Francis Bach (INRIA, Ecole Normale Superieure, PSL Research University)

Tuesday, October 5, 2021
9:00-10:00 CDT
Distributed Network Design in the Era of Deep Learning (Part 1)

Online only

Speaker: Mérouane Debbah (CentraleSupelec and Technology Innovation Institute in Abu Dhabi)

10:30-11:30 CDT
Distributed Network Design in the Era of Deep Learning (Part 2)

Online only

Speaker: Mérouane Debbah (CentraleSupelec and Technology Innovation Institute in Abu Dhabi)

Wednesday, October 6, 2021
9:00-10:00 CDT
On Mean Field Games (Part 1)

Online only

Speaker: Pierre-Louis Lions (Collège de France)

10:30-11:30 CDT
On Mean Field Games (Part 2)

Online only

Speaker: Pierre-Louis Lions (Collège de France)


Videos

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On the convergence of gradient descent for wide two-layer neural networks (Part 1)

Francis Bach
October 4, 2021

On the convergence of gradient descent for wide two-layer neural networks (Part 2)

Francis Bach
October 4, 2021

Distributed Network Design in the Era of Deep Learning (Part 1)

Mérouane Debbah
October 5, 2021

Distributed Network Design in the Era of Deep Learning (Part 2)

Mérouane Debbah
October 5, 2021

On Mean Field Games (Part 1)

Pierre-Louis Lions
October 6, 2021

On Mean Field Games (Part 2)

Pierre-Louis Lions
October 6, 2021