Solving Kolmogorov PDEs without the curse of dimensionality via deep learning and asymptotic expansion with Malliavin calculus
Year of publication: |
May 2023 ; This version: May 9, 2023
|
---|---|
Authors: | Takahashi, Akihiko ; Yamada, Toshihiro |
Publisher: |
[Tokyo] : [CIRJE, Faculty of Economics, University of Tokyo] |
Subject: | Asymptotic expansion | Deep learning | Kolmogorov PDEs | Malliavin calculus | Curse of dimensionality | Theorie | Theory | Stochastischer Prozess | Stochastic process | Lernprozess | Learning process |
-
Takahashi, Akihiko, (2023)
-
Takahashi, Akihiko, (2021)
-
Deep asymptotic expansion with weak approximation
Iguchi, Yuga, (2021)
- More ...
-
Kato, Takashi, (2013)
-
Kato, Takashi, (2012)
-
An Asymptotic Expansion for Forward-Backward SDEs: A Malliavin Calculus Approach
Takahashi, Akihiko, (2012)
- More ...