On the Linear Convergence of the Proximal Gradient Method for Trace Norm Regularization.
Ke HouZirui ZhouAnthony Man-Cho SoZhi-Quan LuoPublished in: NIPS (2013)
Keyphrases
- gradient method
- convergence rate
- norm regularization
- convex optimization
- step size
- convergence speed
- regularization methods
- optimization methods
- total variation
- negative matrix factorization
- loss function
- image segmentation
- semi supervised learning
- text classification
- computer vision
- matrix completion
- feature selection