Algorithmic Regularization in Tensor Optimization: Towards a Lifted Approach in Matrix Sensing.
Ziye MaJavad LavaeiSomayeh SojoudiPublished in: NeurIPS (2023)
Keyphrases
- trace norm
- norm minimization
- low rank
- optimization algorithm
- rank minimization
- tensor decomposition
- projection matrices
- optimization method
- matrix valued
- dt mri
- dimensionality reduction
- risk minimization
- structure tensor
- multi task
- convex optimization
- high order
- optimization problems
- probabilistic inference
- global optimization
- sensor networks
- stochastic gradient descent
- tensor factorization
- matrix completion
- singular value decomposition
- feature space
- support vector
- genetic algorithm