Efficient randomized tensor-based algorithms for function approximation and low-rank kernel interactions.
Arvind K. SaibabaRachel MinsterMisha E. KilmerPublished in: CoRR (2021)
Keyphrases
- function approximation
- low rank
- learning algorithm
- reinforcement learning
- model free
- high order
- singular value decomposition
- kernel matrix
- matrix factorization
- convex optimization
- low rank matrix
- data sets
- matrix completion
- radial basis function
- kernel methods
- kernel function
- linear combination
- feature space
- pattern recognition
- e learning
- machine learning
- data mining