Novel approach approximates McKean-Vlasov SDEs using stochastic gradient descent, suggesting efficiency improvements over traditional methods.
Key Points
The aim is to develop a novel approach for numerically approximating McKean-Vlasov stochastic differential equations without relying on traditional particle systems.
Utilized stochastic gradient descent to approximate MV-SDEs
Formulated a minimization problem over continuous functions of time