RTG 2131 - Mini-Workshop 2018

Mini-Workshop on high-dimensional BSDEs and PDEs

 

Thursday, May 24th
 
12:30 Registration and coffee
13:00-14:30 Arnulf Jentzen (ETH Zürich) Minicourse: An introduction to machine learning approximation methods:
Algorithms, Error Analyses, Curse of Dimensionality, and Partial Differential Equations (PDEs)
14:30-15:00 Coffeebreak
15:00-16:30 Arnulf Jentzen (ETH Zürich) Minicourse: An introduction to machine learning approximation methods:
Algorithms, Error Analyses, Curse of Dimensionality, and Partial Differential Equations (PDEs)
16:30-17:00 Coffeebreak
17:00-17:30 Arnulf Jentzen (ETH Zürich) Minicourse: An introduction to machine learning approximation methods:
Algorithms, Error Analyses, Curse of Dimensionality, and Partial Differential Equations (PDEs)
17:30-18:15 Christa Cuchiero (University of Vienna) Markovian representations of affine stochastic Volterra processes
19:00 Workshop-Diner

 

Friday, May 25th
9:00-9:45 Nizar Touzi (Ecole Polytechnique) 

Random horizon second order backward SDE and Principal-
Agent problem

9:45-10:30 Nadia Oudjane (EDF R & D, France)

McKean Feynman-Kac representations of nonlinear PDEs and
related numerical approximations

10:30-11:00 Coffee break
11:00-11:45

Thomas Kruse (University of Duisburg-Essen)

Multilevel Picard approximations for high-dimensional nonlinear
parabolic partial differential equations

11:45-12:30 Lukasz Szpruch (University of Edinburgh) Weak Error Expansion for Mean-Field SDEs