Matrix Compression via Randomized Low Rank and Low Precision Factorization.
Rajarshi SahaVarun SrivastavaMert PilanciPublished in: NeurIPS (2023)
Keyphrases
- low rank
- matrix factorization
- factorization methods
- singular value decomposition
- missing entries
- low rank matrix
- matrix decomposition
- linear combination
- missing data
- convex optimization
- matrix completion
- data matrix
- high order
- rank minimization
- trace norm
- non rigid structure from motion
- high dimensional data
- kernel matrix
- singular values
- nuclear norm
- image compression
- semi supervised
- minimization problems
- frobenius norm
- collaborative filtering
- kernel matrices
- low rank matrices
- low rank and sparse
- robust principal component analysis
- affinity matrix
- low rank approximation
- interior point methods
- super resolution
- pairwise
- feature space
- data sets