Adaptive Huber trace regression with low-rank matrix parameter via nonconvex regularization.
Xiangyong TanLing PengHeng LianXiaohui LiuPublished in: J. Complex. (2024)
Keyphrases
- low rank matrix
- convex optimization
- low rank
- low rank matrices
- regularization parameter
- singular value decomposition
- low rank and sparse
- robust statistics
- norm minimization
- kernel matrices
- matrix factorization
- linear combination
- reproducing kernel hilbert space
- support vector
- model selection
- low rank approximation
- recommender systems
- objective function