Riemannian Conjugate Gradient Methods: General Framework and Specific Algorithms with Convergence Analyses.
Hiroyuki SatoPublished in: SIAM J. Optim. (2022)
Keyphrases
- conjugate gradient
- convergence rate
- conjugate gradient algorithm
- faster convergence
- special case
- training algorithm
- machine learning algorithms
- iterative algorithms
- training data
- step size
- machine learning
- objective function
- cross domain
- maximum likelihood estimation
- reproducing kernel hilbert space
- iterative methods