Learning from Low Rank Tensor Data: A Random Tensor Theory Perspective.
Mohamed El Amine SeddikMalik TiomokoAlexis DecurningeMaxim PanovMaxime GuillaudPublished in: UAI (2023)
Keyphrases
- low rank
- image data
- data sets
- trace norm
- high order
- high dimensional data
- small number
- higher order
- learning process
- input data
- machine learning
- convex optimization
- missing data
- data points
- learning algorithm
- linear combination
- active learning
- pairwise
- learning problems
- reinforcement learning
- feature extraction
- rank minimization