High-dimensional regression with noisy and missing data: Provable guarantees with non-convexity
Po-Ling LohMartin J. WainwrightPublished in: CoRR (2011)
Keyphrases
- missing data
- high dimensional
- noisy data
- incomplete data
- missing values
- low rank
- structure from motion
- matrix factorization
- multiple imputation
- low dimensional
- regression model
- motion segmentation
- model selection
- feature space
- imprecise data
- high dimensionality
- similarity search
- high dimensional data
- gaussian processes
- data imputation
- dimension reduction
- approximation guarantees
- nearest neighbor
- dimensionality reduction
- gaussian process
- support vector
- dirichlet process mixture models