High-dimensional regression with noisy and missing data: Provable guarantees with non-convexity.
Po-Ling LohMartin J. WainwrightPublished in: NIPS (2011)
Keyphrases
- missing data
- high dimensional
- noisy data
- incomplete data
- missing values
- low rank
- low dimensional
- matrix factorization
- motion segmentation
- regression model
- structure from motion
- approximation guarantees
- nearest neighbor
- multiple imputation
- dimensionality reduction
- high dimensionality
- missing information
- similarity search
- model selection
- high dimensional data
- gene expression data
- data points
- gaussian processes
- feature space
- imputation methods
- databases