Two-Timescale Stochastic Approximation for Bilevel Optimisation Problems in Continuous-Time Models
We analyse the asymptotic properties of a continuous-time, two-timescale stochastic approximation algorithm designed for stochastic bilevel optimisation problems in continuous-time models. We obtain the weak convergence rate of this algorithm in the form of a central limit theorem. We also demonstrate how this algorithm can be applied to several continuous-time bilevel optimisation problems.
Jul-6-2022
- Country:
- North America
- United States
- New York (0.04)
- Massachusetts > Suffolk County
- Boston (0.04)
- Colorado > Denver County
- Denver (0.04)
- Canada > British Columbia
- United States
- Europe
- Asia > Japan
- Kyūshū & Okinawa > Okinawa (0.04)
- North America
- Genre:
- Research Report (0.40)
- Technology: