Algorithmic Regularization in Tensor Optimization: Towards a Lifted Approach in Matrix Sensing.
Ziye MaJavad LavaeiSomayeh SojoudiPublished in: CoRR (2023)
Keyphrases
- trace norm
- norm minimization
- multi task
- global optimization
- constrained optimization
- tensor decomposition
- kernel machines
- optimization algorithm
- optimization problems
- low rank
- convex optimization
- semidefinite
- structure tensor
- projection matrices
- probabilistic inference
- sensor networks
- regularization parameter
- matrix completion
- optimization method