Cubic regularized subspace Newton for non-convex optimization.
Jim ZhaoAurelien LucchiNikita DoikovPublished in: CoRR (2024)
Keyphrases
- convex optimization
- interior point methods
- norm minimization
- interior point
- primal dual
- low rank
- least squares
- trace norm
- convex relaxation
- low dimensional
- total variation
- regularized least squares
- high dimensional data
- convex optimization problems
- convex sets
- principal component analysis
- high dimensional
- feature space
- dimensionality reduction
- newton method
- feature extraction
- operator splitting
- computer vision
- regularization methods
- risk minimization
- semidefinite programming
- support vector
- face recognition
- image segmentation