Partial Trace Regression and Low-Rank Kraus Decomposition.
Hachem KadriStéphane AyacheRiikka HuusariAlain RakotomamonjyLiva RalaivolaPublished in: ICML (2020)
Keyphrases
- low rank
- tensor decomposition
- matrix factorization
- missing data
- linear combination
- convex optimization
- low rank matrix
- kernel matrix
- semi supervised
- singular value decomposition
- matrix decomposition
- matrix completion
- regression model
- high order
- rank minimization
- high dimensional data
- reproducing kernel hilbert space
- trace norm
- robust principal component analysis
- regularized regression
- low rank matrices
- singular values
- kernel matrices
- collaborative filtering
- non rigid structure from motion
- training data
- model selection
- dimensionality reduction
- higher order
- nearest neighbor
- pairwise
- binary matrix
- neural network