Principal Component Hierarchy for Sparse Quadratic Programs.
Robbie VreugdenhilViet Anh NguyenArmin EftekhariPeyman Mohajerin EsfahaniPublished in: ICML (2021)
Keyphrases
- principal components
- quadratic program
- principal component analysis
- dimensionality reduction
- hyperplane
- high dimensional
- principal component regression
- sparse representation
- linear constraints
- linear program
- correlation coefficient
- approximation algorithms
- mixed integer
- maximum margin
- quadratic programming
- linear programming
- feature set
- convex optimization
- dynamic programming
- maximum likelihood
- covariance matrix
- decision trees