Quantized Low-Rank Multivariate Regression with Random Dithering.
Junren ChenYueqi WangMichael Kwok-Po NgPublished in: CoRR (2023)
Keyphrases
- low rank
- multivariate regression
- regression model
- linear combination
- convex optimization
- missing data
- matrix factorization
- matrix completion
- rank minimization
- singular value decomposition
- semi supervised
- low rank matrix
- high dimensional data
- matrix decomposition
- high order
- linear regression
- low rank matrices
- non rigid structure from motion
- robust principal component analysis
- model selection
- collaborative filtering
- logistic regression
- pattern recognition
- missing values
- singular values
- trace norm
- least squares
- active learning
- decision trees
- machine learning