Tight Convergence Rate of Gradient Descent for Eigenvalue Computation.
Qinghua DingKaiwen ZhouJames ChengPublished in: IJCAI (2020)
Keyphrases
- convergence rate
- conjugate gradient
- numerical stability
- step size
- convergence speed
- learning rate
- gradient method
- global convergence
- upper bound
- mutation operator
- primal dual
- cost function
- lower bound
- wavelet neural network
- covariance matrix
- loss function
- particle swarm optimization
- worst case
- least squares
- faster convergence rate