Principal Component Regression with Semirandom Observations via Matrix Completion.
Aditya BhaskaraAravinda Kanchana RuwanpathiranaMaheshakya WijewardenaPublished in: AISTATS (2021)
Keyphrases
- matrix completion
- principal component regression
- low rank
- partial least squares
- principal components
- singular values
- collaborative filtering
- missing data
- rank aggregation
- missing values
- incomplete data
- singular value decomposition
- matrix factorization
- discriminant analysis
- machine learning
- convex optimization
- high dimensional
- pattern recognition
- training data