Errors-in-variables Fr\'echet Regression with Low-rank Covariate Approximation.
Dogyoon SongKyunghee HanPublished in: NeurIPS (2023)
Keyphrases
- low rank
- matrix decomposition
- missing data
- linear combination
- matrix factorization
- convex optimization
- singular value decomposition
- matrix completion
- rank minimization
- low rank matrix
- low rank approximation
- kernel matrix
- semi supervised
- regression model
- variable selection
- high dimensional data
- minimization problems
- robust principal component analysis
- high order
- model selection
- regularized regression
- low rank matrices
- data matrix
- support vector
- missing values
- collaborative filtering
- least squares
- machine learning
- approximation methods
- norm minimization
- data analysis
- non rigid structure from motion
- face recognition