Videos

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Sampling efficiently metastable dynamics: algorithms and mathematical analysis - Part 1 Thumbnail

Sampling efficiently metastable dynamics: algorithms and mathematical analysis - Part 1

Presenter
  • Tony Lelièvre
September 12, 2017
IPAM
Optimization problems associated with complex energy landscapes: Challenges and paradigms Thumbnail

Optimization problems associated with complex energy landscapes: Challenges and paradigms

Presenter
  • Christof Schütte
September 12, 2017
IPAM
Mean field competitive binary Markov decision processes and structured solutions Thumbnail

Mean field competitive binary Markov decision processes and structured solutions

Presenter
  • Minyi Huang
September 1, 2017
IPAM
Non-linear Schrödinger approach to Mean Field Games Thumbnail

Non-linear Schrödinger approach to Mean Field Games

Presenter
  • Ullmo Denis
September 1, 2017
IPAM
Mean-Field-Type Games Thumbnail

Mean-Field-Type Games

Presenter
  • Tembine Hamidou
September 1, 2017
IPAM
Risk-Sensitive and Robust Mean Field Games Thumbnail

Risk-Sensitive and Robust Mean Field Games

Presenter
  • Tamer Basar
August 31, 2017
IPAM
Two species transporting with density constraint Thumbnail

Two species transporting with density constraint

Presenter
  • Inwon Kim
August 31, 2017
IPAM
On the interplay between kinetic theory and game theory Thumbnail

On the interplay between kinetic theory and game theory

Presenter
  • Pierre Degond
August 31, 2017
IPAM
Numerical Methods for Mean Field Games - Part Two Thumbnail

Numerical Methods for Mean Field Games - Part Two

Presenter
  • Yat Tin Chow
August 31, 2017
IPAM
Numerical Methods for Mean Field Games - Part One Thumbnail

Numerical Methods for Mean Field Games - Part One

Presenter
  • Stanley Osher
August 31, 2017
IPAM
Pricing in Ride-Share Platforms: A Queueing-Theoretic Approach Thumbnail

Pricing in Ride-Share Platforms: A Queueing-Theoretic Approach

Presenter
  • Ramesh Johari
August 30, 2017
IPAM
A PDE Approach to Regularization in Deep Learning Thumbnail

A PDE Approach to Regularization in Deep Learning

Presenter
  • Adam Oberman
August 30, 2017
IPAM