Sufficient Conditions for Parameter Convergence over Embedded Manifolds using Kernel Techniques.
Sai Tej ParuchuriJia GuoAndrew KurdilaPublished in: CoRR (2020)
Keyphrases
- sufficient conditions
- linear complementarity problem
- positive definite
- feature space
- exponential stability
- fixed point
- asymptotic stability
- manifold learning
- kernel parameters
- linear systems
- asymptotic optimality
- kernel methods
- initial conditions
- optimal policy
- low dimensional
- equilibrium point
- efficiently computable
- kernel machines
- reproducing kernel hilbert space
- lyapunov function
- euclidean space
- convergence rate
- semidefinite
- kernel matrix
- parameter tuning
- kernel function
- support vector
- genetic algorithm